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Web Scraping for Tariffs with a SERP API: How to Stay Ahead in a Shifting Trade Landscape

Tariffs. They dominate headlines and introduce uncertainty across industries. For businesses that import, export, manufacture, or rely on global supply chains, changing tariff policies can bring serious financial and operational challenges.

That’s where web scraping for tariffs comes in. By extracting real-time data from the web, businesses can monitor market trends, competitor pricing, and regulatory changes—empowering faster, smarter decisions. When paired with a SERP API, web scraping becomes even more powerful, automating the collection of search engine data for fast, scalable insights.

Why Use Web Scraping for Tariffs?

Web scraping helps businesses gather actionable data from critical online sources, including:

With this data, companies can track how tariffs are impacting product pricing, supply chains, and competitor behavior. Whether you’re adjusting sourcing strategies or setting new price points, scraping relevant data helps reduce risk and improve agility.

In today’s volatile trade environment, staying informed is no longer optional—it’s essential.

How a SERP API Supports Tariff Intelligence

A Search Engine Results Page (SERP) API enables businesses to automatically collect Google search results in real time. Traject Data’s Scale SERP API makes it easy to extract structured information from SERPs—including organic listings, “People Also Ask” questions, featured snippets, and even AI Overviews.

For companies navigating tariffs, a SERP API offers several key benefits:

1. Real-Time Monitoring of Tariff News and Policy Changes

  • Automated tracking: Continuously query Google for phrases like “2025 U.S. steel tariffs” or “China trade agreement updates.”
  • Custom alerts: Set up notifications when new laws, trade agreements, or tariff rate changes hit the news.

2. Competitor and Market Analysis

  • Competitor pricing: Scrape product listings to understand how competitors are adjusting their prices in response to new tariffs.
  • Market trends: Identify changes in product offerings, logistics routes, or sourcing strategies driven by tariff policy.

3. Supply Chain Risk Intelligence

  • Supplier monitoring: Track updates about suppliers in high-tariff regions—such as delays, route changes, or closures.
  • Vendor risk assessment: Use SERP data to evaluate third-party vendors’ stability and compliance amid trade policy shifts.

4. SEO and Reputation Management

  • SEO optimization: Target tariff-related search queries to ensure your content ranks as decision-makers look for solutions.
  • Reputation monitoring: Stay ahead of how your brand is being discussed in the context of global trade.

A Valuable Public Resource: USITC DataWeb

If you’re researching the Harmonized Tariff Schedule (HTS) of the United States, the U.S. International Trade Commission (USITC) DataWeb is a helpful resource. It provides public access to:

  • Import duty rates by product category
  • Annual updates to U.S. tariff policy
  • Trade agreements with preferential or zero tariffs

While DataWeb is useful for static analysis, it doesn’t provide the real-time visibility needed to respond quickly to shifting conditions. That’s where dynamic tools like SERP APIs and ecommerce APIs come in.

How Ecommerce APIs Help with Tariff Intelligence

In addition to scraping search engine results, ecommerce APIs provide critical pricing and inventory data that reflects real-world reactions to tariffs.

Traject Data offers ecommerce APIs for Amazon, Walmart, and Target—three of the largest online retailers and key bellwethers for consumer pricing trends. By monitoring how these platforms adjust to tariffs, businesses can:

  • Track real-time price fluctuations by product category
  • Understand shifts in inventory availability
  • Benchmark against major retailers’ pricing strategies

Together with a SERP API, ecommerce APIs give you a comprehensive view of how tariffs are impacting both perception and performance in the market.

Start Web Scraping for Tariffs Today

With the right tools and strategy, web scraping for tariffs can give your business a clear edge in an unpredictable market. Traject Data’s Scale SERP API is designed to help you stay ahead of change by delivering real-time insights from the world’s most important search engine.

Whether you’re tracking competitor pricing, monitoring policy shifts, or optimizing your SEO, our SERP API and ecommerce data products provide the intelligence you need to act quickly and confidently.

→ Ready to future-proof your tariff strategy? Contact Traject Data to get started.

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

Web Scraping for Finance: How to Use a SERP API for Real-Time Market Insights

A SERP API is a powerful tool for web scraping — especially when it comes to collecting real-time data from search engine results pages (SERPs). In the world of finance, where timing, sentiment, and consumer behavior can drive major decisions, the ability to extract this kind of information at scale is a game-changer.

In this post, we’ll explore how web scraping for finance using a SERP API can give you an edge — whether you’re in retail banking, hedge funds, private equity, or market research. We’ll also show how Traject Data’s Scale SERP API enables powerful, real-time insights from financial search behavior.

What Is Web Scraping for Finance with a SERP API?

Web scraping for finance involves extracting publicly available data from the web to support financial research, forecasting, and decision-making. A SERP API lets you tap into real-time search trends, product listings, prices, and more — directly from search engines like Google — without building a crawler yourself.

When powered by a scalable tool like Traject Data’s Scale SERP API, you can go beyond surface-level search results and access raw, structured data to uncover emerging trends, model investor sentiment, track competitive movements, and more.

Below is a list of use cases for web scraping for finance with a SERP API, showing how financial professionals can apply real-time search data to stay ahead. 

Use Case 1: Personal Finance Turbulence: Tracking Consumer Needs via Search

With economic volatility — inflation, interest rate changes, or student loan restarts — consumer search behavior shifts rapidly. People are Googling things like “how to budget for inflation,” “best high-yield savings account,” or “debt consolidation tips.”

For banks and fintech companies, this search data is a goldmine. If you’re not paying attention, you’ll miss key signals of shifting customer needs — and your competitors won’t.

How a SERP API Helps

Traject Data’s SERP API transforms this search behavior into actionable insight. Marketing and product teams can instantly detect spikes in demand for financial products or advice. You can:

  • Spot trending topics like “mortgage refinance options” or “credit repair services”
  • React quickly with targeted campaigns, content, or product adjustments
  • Monitor thousands of keywords — not just a handful
  • Slice the data by region, time, or category

With raw SERP data, you gain a comprehensive, real-time view of consumer intent — helping you respond faster than your competition.

Use Case 2: Market Sentiment Radar: Investor Insights from Search Trends

Markets move on emotion. But traditional sentiment tools often lag. Investors, however, turn to Google the moment uncertainty strikes — searching things like “is a market crash coming” or “safe investments during a downturn.”

Studies show that search volume spikes for certain finance terms often precede short-term market moves.

How a SERP API Helps

With Traject Data, analysts and quants can tap into millions of real-time finance-related searches. Feed this data into sentiment models or dashboards to:

  • Track surging interest in terms like “bond default risk” or “rate cut probability”
  • Monitor changes in investor attention across asset classes
  • Combine search data with market indicators for improved forecasting

Unlike aggregated trend reports, Traject delivers raw, unfiltered SERP data, enabling precise, custom analysis.

Use Case 3: Hedge Funds: Forecasting Inflation by Sector

Inflation hits different sectors differently. Energy, consumer goods, and services all react at different speeds — and waiting for official CPI reports is often too late.

How a SERP API Helps

Traject Data’s product pricing and marketplace listings provide early signals of inflationary pressure. By tracking how product prices shift online, macro hedge funds can:

  • Detect sector-specific inflation early
  • Adjust portfolios before CPI data is published
  • Gain a competitive edge in risk management and strategy

Use Case 4: Private Equity: Validating Exposure to Tariff Risk

Tariffs can dramatically impact supply chains and product sourcing — and ultimately, your portfolio companies. When suppliers shift from one region to another, price and brand availability often shift in the SERPs.

How a SERP API Helps

Traject Data helps you monitor:

  • Changes in seller origins (e.g., a rise in Korean brands over Chinese brands)
  • Competitor pricing adjustments tied to tariffs
  • Shifts in search visibility due to geopolitical or trade policy changes

This level of insight enables private equity firms to spot risks early and make informed, proactive decisions.

Use Case 5: Equity Analysts: Monitoring Retail or Manufacturing Dynamics

Earnings surprises are often foreshadowed by real-world signals like inventory issues or price hikes. But these signals rarely show up in traditional financial statements until it’s too late.

How a SERP API Helps

With daily tracking of product listings and prices, Traject Data empowers analysts to:

  • Identify rising prices before they show up in P&L statements
  • Spot inventory shortages or markdowns
  • Monitor competitive shifts in real time

This data helps you ask sharper questions during earnings calls — and get ahead of consensus.

Use Case 6: Global Macro: Watching Emerging Markets and Trade Patterns

Global strategists need to track trade flows, import-heavy categories, and supply chain shifts — especially in emerging markets where public data may be scarce or lagging.

How a SERP API Helps

Traject Data enables you to:

  • Track import-heavy product categories in U.S. search data
  • Identify regional shifts (e.g., increased sourcing from Vietnam over China)
  • Detect early signals of macroeconomic changes via trade behavior

By layering SERP insights over market data, you can forecast large-scale economic trends across Asia, Latin America, and beyond.

Ready to Get Started?

Whether you’re a bank, hedge fund, private equity firm, or analyst, web scraping for finance with a SERP API gives you the edge to see what’s coming before it hits the headlines.Traject Data’s Scale SERP API delivers real-time, raw SERP data at scale — so you can monitor financial trends, investor sentiment, product pricing, and supply chain shifts as they unfold. Learn more about Traject Data’s Scale SERP API and start building smarter financial models today.

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

How to Scrape Google People Also Ask with a SERP API

Google’s “People Also Ask” (PAA) feature is a powerful addition to modern SERPs (Search Engine Results Pages). It presents a list of related questions that help users dig deeper into their original query. For marketers, SEOs, and researchers, this section is a goldmine for keyword research, content strategy, and understanding user intent.

But how do you extract this data at scale?

In this post, we’ll show you exactly how to scrape Google People Also Ask with a SERP API, using Traject Data’s SerpWow API.

What Is the “People Also Ask” Section in Google Search Results?

The People Also Ask (PAA) box is an interactive module that appears on many Google results pages. It displays a set of frequently asked questions related to the original query. When you click on a question, it expands to reveal a short answer—usually pulled from a high-ranking page—and often triggers additional related questions to appear.

This dynamic, self-expanding list gives Google users a quick way to explore connected ideas and refine their search.

Why Is “People Also Ask” Valuable?

For digital marketers, SEOs, and content creators, the People Also Ask box is more than a curiosity—it’s a strategic advantage. Here’s why:

Benefit How “People Also Ask” Helps
Reveals user intent Shows the exact questions real users are asking
Uncovers new keywords Surfaces long-tail and semantically related keyword opportunities
Improves content structure Offers natural subheadings and FAQ ideas
Monitors trends Highlights emerging questions and shifting user interests
Saves research time Quickly uncovers relevant questions without manual digging
Supports user-first content Helps tailor content to address actual pain points and curiosity

How to Access the People Also Ask Box

If you want to inspect the People Also Ask box manually:

  1. Search on Google: Enter your keyword or query.
  2. Find the PAA Box: It often appears after the first few organic results, though placement varies.
  3. Expand the Questions: Click any question to see the answer and generate new related questions.

This is helpful for one-off research—but what if you want to collect this data at scale?

How Does People Also Ask (PAA) Work? 

Google generates the People Also Ask (PAA) section of the search results page by analyzing the user’s own history, and the patterns of other users who’ve explored similar topics. Your location and time also factor into the algorithm which means the results can vary across users, location, and time. 

How to Scrape Google People Also Ask with a SERP API

To automate your research and gather PAA data programmatically, a SERP API is the best solution. Here’s how to scrape Google People Also Ask using SerpWow by Traject Data.

Step 1: Sign Up for an API Key

Head to Traject Data and sign up for SerpWow access. You’ll receive a secure API key for authentication.

Step 2: Review the Documentation

Visit the SerpWow API documentation to explore the available endpoints, request parameters, and JSON structure. You’ll find examples for web results, AI Overviews, local listings, and more.

Step 3: Make a Search Request

When you run a query using SerpWow, the response will include a related_questions property. This returns an array of PAA data, including:

  • The question text
  • The answer snippet
  • A link to the source page
Example:
{
  "related_questions": [
    {
      "question": "What is a SERP API?",
      "answer": "A SERP API lets you access real-time search engine results programmatically...",
      "link": "https://example.com/what-is-a-serp-api"
    },
    ...
  ]
}
  

Bonus: People Also Search For

SerpWow also supports scraping data from the People Also Search For (PASF) section. This shows up when a user clicks on a result and then returns to the SERP. The API includes this data under the people_also_search_for property—useful for exploring brand associations and related entities.

Why Use Traject Data’s SerpWow for PAA Scraping?

Whether you’re tracking SERP volatility, researching SEO content gaps, or analyzing AI-generated answers over time, SerpWow gives you clean, structured, and scalable access to the People Also Ask section—without the hassle of browser automation or IP rotation.

Key benefits:

  • Fast and scalable requests
  • Built for the future with adaptability in mind
  • Full support for PAA, PASF, AI Overviews and other SERP modules

Ready to Scrape Google People Also Ask?

Traject Data’s SerpWow API makes it easy to tap into Google’s “People Also Ask” insights at scale. Whether you’re optimizing content, tracking brand visibility, or studying question trends, SerpWow delivers reliable data you can build on.

👉 Sign up for an API key
👉 Explore the full API documentation
👉 Watch our quick-start video

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

How to Scrape Google AI Overviews with a SERP API

AI is transforming the tech landscape at a record pace. Nowhere is this shift more apparent than in search. At Google I/O 2025, the biggest update was clear: AI Overviews are now front and center in Google’s search experience. Ads are integrated directly into AI-generated answers, raising new questions about visibility, attribution, and the future of SEO.

Some are calling it the death of SEO as we know it. Whether or not that’s true, one thing is certain: tracking and analyzing Google AI Overviews is now essential.

In this post, we’ll walk through exactly how to scrape Google AI Overviews with a SERP API, using Traject Data’s Scale SERP API—SerpWow—as your go-to tool.

What Can You Scrape from Google?

Scraping Google isn’t limited to standard search results. A robust Google SERP API like Traject Data’s SerpWow gives you structured access to a wide range of search elements, including:

Whether you’re focused on ecommerce, local SEO, competitive intelligence, or organic rankings, SerpWow delivers clean, reliable data that’s ready to use.

Why Use a SERP API to Scrape AI Overviews?

Google regularly rolls out new anti-scraping defenses that block manual scripts. That makes scraping AI Overviews manually—especially across different locations and devices—slow, error-prone, and expensive.

With a SERP API like SerpWow, you get:

  • Stability: No need to maintain brittle scraping scripts.
  • Speed: Query and extract data at scale in real time.
  • Coverage: Access AI Overviews across devices, locations, and languages.

AI Overviews, in particular, are constantly evolving, making automated, structured access through an API the only practical way to monitor this feature at scale.

How to Scrape Google AI Overviews with SerpWow

Getting started is simple. Here’s a step-by-step guide:

1. Sign Up for an API Key

Head to Traject Data and sign up for access to SerpWow. You’ll receive a unique API key to authenticate your requests.

2. Review the Documentation

Visit the SerpWow API docs to explore available endpoints and parameters. You’ll find working examples for AI Overviews, product data, reviews, local listings, and more.

3. Make Your First API Request

Scrape Google AI Overviews with the Right Parameters

To retrieve AI Overviews, include the following parameters in your API request:


engine=google
include_ai_overview=true
device=mobile   
location=United States
  

Example Request:


https://api.serpwow.com/search?api_key=YOUR_API_KEY&engine=google&q=best+running+shoes&include_ai_overview=true
  

What You’ll Get in the Response

  • ai_overview_banner: The banner area where the AI Overview appears.
  • ai_overview_contents: Structured content returned by the AI Overview.
    • type – Header, paragraph, or list
    • text – The content of that element
  • ai_overview_sources: Source info used by the AI, including:
    • source_title
    • source_description
    • source_url
    • source_image
    • source_name

This structured format lets you analyze what Google’s AI says, how it says it, and where the data comes from.

CSV Output for AIO Results

To receive results in CSV format, use the following parameters:


engine=google
output=csv
  

Mobile Support for Google AIO

To extract AI Overviews from mobile results:


engine=google
include_ai_overview=true
device=mobile
  

Scrape Google AI Overviews Worldwide

SerpWow supports 200+ Google domains and 40+ languages, making it easy to:

  • Track AI Overviews on google.com, google.co.uk, google.fr, and more
  • Analyze SERPs across desktop and mobile globally
  • Match query language to domain locale for accurate results

Note: Your q parameter must match the language of the Google domain (e.g., French for google.fr) to return AI Overview content.

Ready to Scrape Google AI Overviews?

Whether you’re monitoring brand visibility, tracking competitive content, or studying how AI-generated answers evolve, Traject Data’s SerpWow API gives you the tools you need.

👉 Sign up for an API key
👉 Explore the full API documentation
👉 Watch our quick-start video

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

Web Scraping for Healthcare: How SERP Data Gives You a 3-Week Head Start

Traditional health surveillance systems—reliant on hospital reports, lab results, and manual reporting cycles—often react too late. By the time those signals appear, emergency rooms are packed, supplies are stretched thin, and staffing shortages are critical. But what if you could get ahead of the crisis? Web scraping for healthcare using a SERP API offers exactly that: a faster, smarter, real-time signal pulled straight from the search bar.

Why Health Teams Should Pay Attention to Search Behavior

Before patients ever step into a clinic, they’re asking questions:

  • “COVID sore throat vs cold”
  • “Urgent care near me”
  • “Walk-in flu test”

And they’re asking these questions days or even weeks before they become official statistics. A 2021 study in NPJ Digital Medicine confirmed that Google search data predicted COVID-19 trends 2–3 weeks before traditional reporting systems. This kind of insight lets healthcare systems act early—before case counts spike or hospital capacity is maxed out.

From Digital Clues to Real-Time Health Intelligence

Early search behavior reveals valuable health signals. With the right tools, you can:

  • Identify geographic hotspots before cases rise
  • Reallocate staff and PPE to where they’ll be needed
  • Fuel forecasting models and improve surge readiness
  • Fine-tune pharmacy inventory and campaigns
  • Send location-specific alerts and messaging

All of this is made possible through web scraping for healthcare using a real-time SERP API like Traject Data’s.

Meet the Tool: Traject Data’s SERP API (SerpWow)

SerpWow is Traject Data’s real-time search scraping API that captures location-specific keyword trends directly from Google. It’s designed for healthcare professionals, public health officials, and data scientists who need timely, high-signal data for early response.
Here’s what you get:

  • Keyword tracking at scale. Monitor thousands of health-related terms—from “fever and chills” to “flu shot near me”.
  • Hyperlocal insights. Break down search behavior by city or zip code.
  • Early trend detection. Set custom thresholds and get alerted to abnormal search spikes.
  • Raw, flexible data. Plug the results into Tableau, Snowflake, or your own ML models. 

Unlike Google Trends, which offers delayed and aggregated summaries, SerpWow delivers raw search data in real time—with full control and precision.

Use Case: Getting Ahead of Flu Season

Let’s say your team wants to prepare for the upcoming flu season. With SerpWow, you can:

  • Monitor keywords like “flu symptoms,” “flu test near me,” or “urgent care [city name]”
  • Run API checks every 6 hours across 10 metro areas. Flag cities with sudden spikes in flu-related search activity

When one city sees a 30% surge in flu-related searches—even before official case data spikes—you:

  • Adjust staffing at local clinics
  • Send PPE and supplies ahead of demand
  • Trigger targeted public health messaging

This proactive approach gives your team a real lead—not just a reaction.

Other Use Cases for Web Scraping in Healthcare

Web scraping for healthcare isn’t just for infectious disease monitoring. Other applications include:

  • Public health surveillance. Track early indicators of outbreaks or seasonal illness trends.
  • Drug pricing analysis. Monitor how consumers search for prescription medications and compare pricing.
  • Insurance research. Scrape data on plan availability, coverage questions, or competitive offerings.
  • Competitive analysis. See how patients search for services across hospitals, telehealth, and urgent care centers.

Why Traject Data Outperforms Traditional Sources

🚫 Traditional Source ✅ Traject Data’s SerpWow
Google Trends: Aggregated, no local granularity Real-time SERP data, down to zip code
CDC/Lab Data: Reactive and delayed Search behavior shows symptoms and concern before diagnosis
Dashboards from other vendors: Limited summaries Raw data, customizable and ready for modeling

Who Benefits From Healthcare Search Scraping?

This strategy is built for:

  • Hospital operations teams managing surge capacity
  • Public health departments overseeing preparedness efforts
  • Retail pharmacies optimizing campaigns and logistics
  • Epidemiologists and data scientists modeling spread and risk

Want a 2–3 Week Advantage?

Search behavior is already telling the story—you just need the right tools to listen. With Traject Data’s SERPWow API, you get the raw, real-time insights you need to get ahead.

Talk to an expert today 👉 Book a Demo

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

How to Use Traject Data’s SERP API for Keyword Research

If you want to level up your keyword strategy, a Search Engine Results Page (SERP) API is a powerful tool. Traject Data’s Scale SERP APIs let you automatically gather rich data from search engine results pages. That includes organic listings, AI Overviews, Shopping results, Ads and more. So how do you actually use a SERP API for keyword research?

In this post, we’ll break down what a SERP API is, how to choose the right provider, and how to use Traject Data’s SERP API to uncover valuable keyword insights.

What is a SERP API?

A SERP API (Search Engine Results Page API) allows you to programmatically collect data from search engine results—like those shown on Google or Bing—without having to scrape pages manually.

These APIs are essential for keyword research, SEO tracking, and competitive analysis.

What is a SERP?

SERP stands for Search Engine Results Page. It’s the page that appears when a user enters a query into a search engine like Google or Bing. A SERP typically includes a mix of organic results, paid ads, featured snippets, shopping listings. With AI reshaping search, the AI Overview has become an essential part of the SERP.

Key Features of a SERP API for Keyword Research

  • Automation: No more manual scraping. Automate keyword data collection at scale.
  • Structured Output: Get clean, structured data (usually in JSON format) that’s easy to parse.
  • Scalability: Handle thousands (or millions) of queries across keywords, locations, and devices.
  • Bypass Anti-Scraping Roadblocks: SERP APIs like Traject Data’s include rotating proxies, CAPTCHA solving, and other features to get consistent access to results pages.

Is Using a SERP Scraping API for Keyword Research Legal?

In general, scraping publicly available data is legal, but there are a few important caveats:

  • Only scrape publicly accessible content.
  • Respect the terms of service of individual websites.
  • Follow data privacy laws like GDPR or CCPA, especially if storing personal data.

Always make sure your scraping strategy is compliant with local laws and platform guidelines.

How to Choose the Right SERP API for Keyword Research

Not all SERP APIs are created equal. Here’s what to consider:

✅ Search Engine Coverage

Google is critical—but you may also want coverage for Bing, Yahoo, Amazon, eBay, and even regional engines like Yandex (Russia), Baidu (China), or Naver (Korea).

✅ Structured, Clean Data

Choose a provider that delivers well-structured data—no extra noise, no need for manual parsing. Look for support for rich SERP features like featured snippets, AI Overviews, shopping results, ads, news, and reviews. 

✅ Integration and Delivery Options

Can you pipe data into your analytics dashboard or SEO tools easily? Batch exports, scheduled delivery, and API-to-database workflows make a big difference.

✅ Support and Documentation

Clear documentation and responsive support teams are invaluable—especially when building custom keyword research pipelines.

✅ Resilience to SERP Changes

Search engines constantly update their result formats. Choose an API that adapts fast. For instance, some SERP providers had downtime after Google’s latest SERP format changes—Traject Data’s infrastructure held up.

How to Use a SERP API for Keyword Research

Here’s a step-by-step process to use a SERP API for keyword research using Traject Data’s Scale SERP API.

1. Start With Seed Keywords

Begin with a core list of keywords related to your niche—e.g., “shoes for spring.”

2. Define Search Parameters

Use the API’s parameters to customize your search:

  • Search Engine – Choose Google, Bing, Amazon or others
  • Location – Local SEO? Target specific regions
  • Device Type – Analyze mobile vs. desktop results
  • Language – Specify the language of results
  • Date Range – Useful for trending topics

3. Make Your API Request

Example: Requesting SERP Data for “Shoes for Spring”

Here’s a simple example using Traject Data’s Scale SERP API to retrieve Google mobile results for the keyword “shoes for spring”:

https://api.scaleserp.com/search?api_key=YOUR_API_KEY&q=shoes+for+spring&location=United+States&device=mobile
  

Just replace YOUR_API_KEY with your actual API key to get started.

Use Traject Data’s Scale SERP API documentation to explore more query options.

4. Extract Keyword Data Points

Once you receive structured SERP results (usually in JSON), extract:

  • Organic Results – See who’s ranking and why
  • Ads – Track top-performing competitors
  • Featured Snippets / Knowledge Panels – See what’s dominating the SERP visually
  • AI Overviews – Identify AI-generated summaries and insights

Analyze the Keyword Data

Once you’ve collected your data, here’s how to turn it into SEO insights:

  • Identify Keyword Opportunities: Spot high-volume, low-competition terms
  • Understand Search Intent: Informational, navigational, transactional?
  • Track Rankings: Monitor where you (and competitors) appear in the results
  • Refine Content Strategy: Use featured snippets, and related keywords to build smarter content
  • Spy on Competitors: See which keywords competitors are ranking for and what kind of content they’re creating

Real Example: “Shoes for Spring”

Let’s say you’re planning a new blog post or product campaign around the keyword “shoes for spring.”

Start by sending a request to Traject Data’s SERP API using that seed keyword. You’ll receive:

  • Top-ranking product pages, editorial guides, and eCommerce listings
  • Follow-up questions from the “People Also Ask” box (e.g., “What shoes are best for spring weather?”)
  • Shopping ads and image carousels featuring trending styles
  • Seasonal articles and fashion listicles with titles like “Top 10 Spring Shoes for 2025”

From this, you might uncover valuable related keywords like:

  • “best spring shoes for women”
  • “lightweight shoes for spring”
  • “spring fashion shoes 2025”
  • “water-resistant spring sneakers”

You’ll also gain insight into search intent. Users might be looking for seasonal fashion ideas, weather-appropriate materials, style trends, or online deals—helping you tailor your content or product listings to what shoppers are really searching for.

Boost Your SEO Strategy with Traject Data’s SERP API

Traject Data’s SERP API helps you unlock the full potential of keyword research—without the mess of manual scraping or unreliable data feeds.

With fast, accurate, and structured SERP data, you can:

  • Discover keyword gaps
  • Monitor competitors
  • Track rankings at scale
  • Create data-driven content strategies

Ready to try it out?
Explore Traject Data’s SERP API offerings and start turning search data into SEO wins.

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

How to Scrape Google Search Results (SERPs) with an API – 2025 Guide

Google is a goldmine of valuable data—especially for marketers, SEOs, and analysts who need real-time insights. With evolving features like AI Overviews and AI Mode, Google’s search engine results pages (SERPs) are changing faster than ever. That makes it harder (and more important) to stay ahead of the curve. If you want to succeed in SEO, you need accurate, real-time search data. The most efficient way to get it? Scrape Google with an API.

Using a SERP API (Search Engine Results Page API), also known as a Google Search API or web scraping API, is the easiest and most reliable way to access live search results programmatically—no scraping scripts or proxy juggling required. In this guide, we’ll show you how to scrape Google with an API using Traject Data’s Scale SERP API, one of the most powerful tools on the market.

What Do SERP APIs Do?

SERP APIs allow you to extract real-time data directly from search engines like Google, Bing, Yahoo, Baidu, and Naver. They let you monitor search term rankings, featured snippets, ad placements, local results, and more—all in a structured, scalable format.

Unlike manual scraping or general scraping tools, a SERP API:

  • Returns clean, structured data
  • Adapts automatically as search engine pages evolve
  • Handles IP rotation, CAPTCHAs, and rendering behind the scenes

What Can You Scrape from Google?

Scraping Google is not limited to simple search results. A robust Google SERP API like Scale SERP gives you access to multiple datasets, including:

Whether you’re optimizing for ecommerce, local discovery, or organic rankings, you can extract the exact data you need.

Google’s Anti-Scraping Measures

Google has sophisticated systems in place to block bots and scrapers—CAPTCHAs, rate limiting, IP detection, and dynamic rendering, to name a few. Google continues to enhance its anti-scraping measures every year. That makes manual scraping both unreliable and unsustainable at scale.

The Solution? Scrape Google with an API.

Using a SERP API built specifically for Google, like Traject Data’s Scale SERP, gets you clean, accurate data without getting blocked. These APIs manage proxies, handle anti-bot defenses, and adapt to changes in Google’s SERP structure automatically.

How to Scrape Google with Traject Data’s Scale SERP API

Getting started is simple. Here’s a step-by-step walkthrough:

1. Sign Up for an API Key

Head to Traject Data and sign up for access to Scale SERP. You’ll receive a unique API key that authenticates your requests.

2. Review the API Documentation

Browse the full Scale SERP API documentation to see available endpoints and parameters. You’ll find examples for search queries, product data, reviews, maps, and more.

3. Make Your First Request

To scrape Google search results, use the /search endpoint and provide key parameters like:

  • q – your search term
  • location – the region your query should originate from

Example request:

https://api.scaleserp.com/search?api_key=YOUR_API_KEY&q=pizza&location=United+States
  


Replace YOUR_API_KEY with the key you received from Traject Data.
You can retrieve results in JSON, HTML, or CSV format—whatever works best for your workflow.

4. Use Asynchronous Retrieval for Scale

For large-scale projects, enable batch processing and asynchronous delivery. Traject Data supports:

  • Sending results to an S3-compatible storage bucket
  • Delivering results via webhook callback
  • Downloading result sets manually from the UI

This allows for scalable, hands-off data collection and integration.

5. Send the Data to Your BI Tools

Easily connect Scale SERP data to platforms like Looker, Tableau, Power BI, or your own custom dashboards. With structured results, you can slice and dice SERP data by keyword, location, ranking position, and more.

Interested in Scraping Google AI Overviews?

Want to stay ahead of Google’s evolving SERP landscape? Traject Data’s SERPWow API allows you to scrape Google AI Overviews, giving you access to this emerging area of search data.

To include AI Overviews in your results, simply set the following parameters in your request:

  • engine=google
  • include_ai_overview=true
  • Use a .com domain or specify a U.S. location
  • To target mobile results, add: device=mobile

Data Returned

The response will include two main objects:

  • ai_overview_banner – Contains the AI overview banner displayed at the top of search results.
  • ai_overview_contents – Provides detailed AI-generated content:
    • type – Indicates whether the content is a header or list
    • text – The textual content of the header or list item

You’ll also receive AI Overview sources, including:

  • source_title
  • source_description
  • source_url
  • source_image
  • source_name

With access to Google AI Overviews, you can monitor how generative search impacts rankings, visibility, and user experience—critical insights for advanced SEO strategies.

Ready to Scrape Google with an API?

Want to access real-time search results data without the scraping headache?
Traject Data makes it easy. Start using one of the best Google SERP APIs available today.

When it comes to scraping Google with an API, Traject Data’s Scale SERP API gives you the power, flexibility, and reliability you need to make smarter decisions—faster.

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

How to Scrape Google Maps with a SERP API

Over 1 billion people use Google Maps every month, making it the world’s most popular digital mapping service. The scale, reach, and richness of data on Google Maps make it a goldmine for businesses looking to analyze competitors, optimize logistics, or build detailed local business directories.

But here’s the thing: getting that data manually is slow, inconsistent, and incredibly tedious. That’s why many companies turn to a Google Maps scraper API—a tool that lets you automate the process and pull large volumes of structured data in minutes.

If you’re wondering how to scrape Google Maps with an API, or whether it’s even legal, this post breaks it all down. We’ll also show you how Traject Data’s SerpScale API makes it easy and scalable.

What Is a Scraper API?

A scraper API is a tool that sends automated requests to a platform—like Google Maps—and returns data in a structured format like JSON or CSV. Instead of clicking through results and copying details manually, you can use an API to extract business names, addresses, ratings, reviews, and more—all programmatically.

Why Scrape Google Maps?

Google Maps isn’t just for finding the closest coffee shop. For businesses, it’s a powerful source of real-time local data. Here’s why scraping it makes sense:

1. Market Research and Competitor Analysis

By analyzing business density, categories, ratings, and reviews in specific locations, companies can identify saturated markets, spot gaps, and benchmark competitors.

  • A coffee chain might target areas with few competitors.
  • A digital agency might look for businesses with poor reviews to pitch their services.

2. Supply Chain and Logistics Optimization

Scraping location data helps companies optimize delivery routes, identify ideal spots for new warehouses or storefronts, and streamline operations.

3. Large-Scale, Accurate Data Collection

Manually copying business data from Google Maps is time-consuming and error-prone. Scraping automates the process—giving you high-volume, up-to-date info in minutes.

What Data Can You Scrape from Google Maps?

With the right API, you can collect a wide range of data points from business listings on Google Maps, including:

  • Business name
  • Address
  • Latitude & longitude
  • Phone number
  • Website URL
  • Business hours
  • Ratings & number of reviews
  • Photos
  • Categories
  • Popular times (in some cases)

This structured data can power everything from lead generation tools to territory planning dashboards.

Is It Legal to Scrape Google Maps?

This is a common question. Google’s terms of service generally prohibit scraping their content directly. However, scraper APIs like SerpScale operate in a legally compliant way, respecting rate limits, avoiding bot detection, and sourcing publicly available data.

As always, it’s best to consult with legal counsel if you plan to use scraped data for commercial purposes—but with a reputable API provider, you’re operating in safer territory.

What’s the Best Google Maps Scraper API?

There are several scraping tools on the market, but many fall short when it comes to scale, reliability, and support. That’s where Traject Data’s SerpScale API stands out.

  • High success rates
  • Advanced rendering and parsing
  • Industry Leading Support
  • Low maintenance
  • Support for thousands of queries per minute
  • Seamless integration with BI tools

Whether you’re monitoring local competitors, building lead lists, or analyzing store footprints, SerpScale makes it fast and easy.

How to Scrape Google Maps in 4 Simple Steps

Getting started with Google Maps scraping doesn’t require a developer team or weeks of setup. Here’s how to do it in four easy steps using SerpScale:

1. Sign Up for an API Key

Head over to SerpScale and signup for an API key to get access.

2. Explore the API Documentation

Read through the documentation to understand how to format your requests, what parameters to use (like location or keywords), and how to handle responses.

3. Make Your First API Request

Example: Scraping Google Maps Using Latitude, Longitude, and Zoom

If the location parameter is set to a latitude, longitude, and zoom value—like in the example below—results will be returned from a Google Maps page:

https://api.serpwow.com/live/search?api_key=demo&search_type=places&q=pizza&location=lat:43.437677,lon:-3.8392765,zoom:15

When search_type=places and you provide location as a combination of lat/lon/zoom, the API scrapes results directly from Google Maps.

Google Maps Request Parameters

Parameter Required Description
q Required The keyword used to perform the Google Maps search.
location Optional Sets the geographic focus of the query.
Format: location=lat:43.437677,lon:-3.8392765,zoom:15
Zoom values range from 3 (zoomed out) to 21 (zoomed in).
google_domain Optional Specifies the Google domain (e.g., google.com, google.co.uk). Defaults to google.com.
hl Optional Sets the UI language of the search results. Defaults to en.
page Optional Returns the specified page of results (defaults to 1). Each page contains 20 results.
max_page Optional Automatically paginates and concatenates results across multiple pages in a single response.
Note: The num parameter is ignored in Google Maps searches. To fetch results based on coordinates, use the lat, lon, and zoom values as shown above.

4. Send the Data to Your Favorite BI Tool

SerpScale integrates easily with platforms like Looker, Tableau, and Power BI. You can filter, sort, and analyze data to fit your specific goals.

Start Scraping Google Maps Today

If you’re looking for a scalable, compliant way to access business data from Google Maps, a scraper API like SerpScale is the best way to go.

👉 Sign up for SerpScale

👉 Watch a High Level Overview Video

 👉Explore the API documentation for Google Maps

Have questions or need a custom solution? Contact us—we’d love to help you scale your local data intelligence.

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

Google I/O 2025 SEO Changes: Navigating the New SERP with Traject Data

The biggest announcements at Google I/O 2025 hit the SEO world like a rocket. This isn’t the death of SEO—but it’s definitely the end of SEO as we knew it.

AI Overviews are now front and center in search. Ads are seamlessly integrated into AI-generated answers. And with a new Chrome-based Marketing Advisor, brands can launch entire campaigns directly within the browser. It’s fast, sleek, and aligned with everything modern users expect from the internet in 2025.

But what does all of this mean for your SEO strategy?

Google I/O 2025: What Changed in SEO

Here’s a breakdown of the key SEO changes from Google I/O 2025:

  • AI Mode in Search: Search results are now curated by AI. Ads are fully embedded into AI responses, reshaping how visibility and traffic work.
  • Gemini Agent Mode: Google’s AI can now take actions—clicking buttons, filling forms, and interacting with websites on your behalf.
  • Visual Search Upgrades: “Search Live” lets users point their cameras at objects and ask questions in real-time, powered by AI interpretation.
  • AI-Powered Shopping: Personalized, visual, and predictive. Google can now curate products based on user behavior, enable virtual try-ons, track prices, and even auto-purchase.
  • In-SERP Charts and Visual Answers: Google generates charts and visual data directly in the search results.
  • AI Answers Instead of Listings: The traditional list of links is replaced with one polished, AI-authored summary—often embedded with monetized content.
AI Mode in Search

Instant Answers vs. Lasting Trust

If you love efficiency, this is your golden age.

But if you care about trust and transparency, now’s the time to ask serious questions.

Google has created an experience where one search gets you everything: a summary, product suggestions, action plans, and a direct path to purchase. For a generation raised on instant answers, this is perfection.

But here’s the problem: convenience is easy—trust is earned.

When the AI interprets your query, rewrites the answers, and decides what appears—all while selling ads within that response—you’re not really searching anymore. You’re being told what to think.

That’s not a critique of AI. It’s a call for transparency in a system we can no longer see into.

The Hidden Risk for Brands

The new AI-first search experience prioritizes speed, not depth. And while users may initially love the streamlined experience, they’ll eventually notice what’s missing, what’s biased, or what’s just wrong.

That’s when trust begins to erode.

So what can’t brands rely on anymore?

  • You can’t assume SEO best practices will get you visibility.
  • You can’t trust platform analytics as your only data source.
  • You can’t use traffic alone as proof of performance.

This isn’t traditional search. It’s a model deciding what’s relevant—and if your brand isn’t part of that dataset, you simply don’t exist in that moment.

You can’t optimize your way around that. But you can monitor, measure, and challenge it—with the right tools.

What You Can Control

This is where independent data becomes your most powerful asset. If Google controls the interface, you need to control the insight.

That means:

  • Monitoring SERPs to see how and where your brand is showing up
  • Tracking share of voice across platforms that still value organic discovery
  • Auditing your presence with verifiable, transparent performance data
  • Identifying citations in AI-generated answers to see which brands are getting visibility

Independent data gives you leverage. It tells the truth when platform metrics become a closed loop.

Most importantly, it gives you an answer when a customer asks, “Why didn’t I see you there?”

How to Respond to Google I/O 2025 SEO Changes

Here’s how to adapt your strategy for this AI-first world:

  • Be Multichannel-Native
    Google isn’t the only sandbox. Retail search, TikTok, Reddit, YouTube, influencer SEO, and community-driven reviews still rely on your input signals. If you’re only optimizing for Google, you’re feeding the beast and hoping it doesn’t eat you next.
  • Own Your Data
    First-party data, customer journey mapping, SERP snapshots, and pricing deltas are now strategic assets. If you can’t control the data inputs, you’re just reacting to a black box.
  • Compete on Context, Not Clicks
    Google’s AI doesn’t rank based on great content alone. It favors responses that fit the narrative it’s building. Structured data, third-party mentions, and machine-readable authority are what get you included.
  • Own the Relationship
    Search might be shrinking, but your audience isn’t. Email lists, direct visits, private communities—these are now your power channels. If AI stops linking out, the only thing that matters is the audience you’ve built.
  • Optimize for the AI Layer
    You’re no longer just writing for people. You’re writing for the model. Your product descriptions, brand footprint, and structured data all need to be readable and relevant to the AI systems deciding what to show.

The Solution: Traject Data’s SERP APIs

The Google I/O 2025 SEO changes mark another fundamental shift in how brands win (or lose) in search.

We’ve moved from “How do I rank?” to “How do I become the AI answer?”

To stay agile in this fast-changing landscape, you need tools that can keep up. Traject Data’s SERP API helps you monitor, measure, and adapt in real time.

With full visibility into SERPs across channels, you’ll be able to:

  • Track changes as AI Overviews evolve
  • Identify which brands are cited in AI responses
  • Benchmark performance across competitors and platforms
  • Respond quickly to shifts in what Google chooses to show

Future-Proof Your Strategy

The SEO landscape is evolving fast. AI isn’t going away. But neither is your need for visibility, credibility, and trust.

Traject Data’s SERP API puts the power back in your hands—with independent data, flexible tracking, and actionable insights.

Ready to future-proof your SEO? Start using Traject Data’s SERP API today and stay ahead of Google I/O 2025 SEO changes.

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

Decoding the AI Shift: How to Scrape Google AI Overviews and Boost Your Click-Through Rate (CTR)

AI is rewriting the rules of Search Engine Optimization (SEO) and reshaping how marketers think about Click-Through Rates (CTR). Traditional SEO strategies are no longer enough. The rise of AI-generated answers—especially Google’s AI Overviews (AIO)—is changing what shows up on the search results page and what actually gets clicked.

In this post, we’ll break down what’s changed, how AI Overviews are impacting CTR, and most importantly—how to scrape Google AI Overviews and CTR data using Traject Data’s SERP API to stay ahead.

AIO and CTR

The AIO Effect: How AI Overviews are Reshaping Google CTR

It used to be simple: rank on page one (ideally in the top three positions), and the clicks would follow. CTR was the go-to metric to measure SEO success. But now, AI is sitting between users and your content.

With Google’s AI Overviews (AIO), along with platforms like ChatGPT and Perplexity, users are getting full answers—often without clicking anything. Instead of ten blue links and a featured snippet, they’re served a complete summary generated by AI.

This shift is having a measurable impact:

  • Ahrefs found that when an AIO appears, the #1 organic result sees a 34.5% drop in CTR.
  • Amsive reported a 15.49% average decline across 700,000 keyword results, with non-branded queries showing nearly 20% drops.
  • Advanced Web Ranking (AWR) revealed that AIOs now appear in 42.5% of search results, an 8.8-point jump in just one quarter. This rise has been directly linked to falling CTRs—especially on desktop.

As Dan Popa from AWR puts it:

“This surge in AI Overviews may be impacting clickthrough rates for organic listings, as informational content is increasingly getting overrun by these AI-generated summaries.”

How AI Overviews Affect Google CTR

Even if you’re still ranking on page one, you could see significant traffic declines if you’re not cited in the AI Overview. Informational content—once a reliable traffic driver—is being displaced.

Some of the hardest-hit industries include:

  • Science: Down 6.03 percentage points in CTR during Q4—the biggest drop tracked (Search Engine Journal).
  • Careers: Despite a 334% rise in demand, top 3 positions lost 4.34 CTR points.
  • Shopping: Even with a 142% increase in holiday search volume, CTR dropped across both mobile and desktop.

Only a few sectors—like business and fashion—saw CTR improvements. For everyone else, the new question is no longer “What’s my rank?” but “Am I in the AI Overview?

How to Rank in AI Overviews to Improve CTR

To stay competitive in this AI-first search environment, here are five practical ways to optimize your content and monitoring strategies:

  1. Identify AIO-Triggered Queries
    Segment your keyword data to isolate searches that consistently trigger AI summaries.
  2. Structure Your Content for AI
    Use clean markup, concise value-driven sections, and trustworthy signals like cited sources.
  3. Optimize for Concepts, Not Just Keywords
    AI prefers broad topical relevance. Link your content to high-level ideas and semantically related terms.
  4. Track New Traffic Sources
    Monitor referrals from tools like Perplexity, Brave, and other AI-driven engines.
  5. Evaluate Your Data Infrastructure
    Make sure your partners and tools can adapt to the fast-evolving landscape of AI-generated search.

How to Scrape Google AI Overviews and CTR with Traject Data’s SERP API

If you’re trying to figure out how to scrape Google AI Overviews and track CTR, Traject Data has you covered.

Our SERP API is built for scale, speed, and resilience—capable of handling billions of monthly requests and delivering millions of high-quality records in just days. Whether you’re tracking visibility across volatile search results or trying to understand where your brand shows up in AI summaries, we provide the infrastructure to support it.

Here’s what makes Traject Data different:

  • Rapid scaling during critical visibility windows
  • High-accuracy scraping of search results, including complex SERP layouts
  • Resilience against anti-scraping protections
  • Customizable data feeds designed for SEO, pricing, and brand monitoring

While we don’t yet offer a dedicated AI citation tracking product, we’re actively collaborating with forward-thinking partners to develop solutions. Our platform is designed to evolve with the search landscape—AI Overviews included.

Key Takeaways

  • AI-generated summaries are cutting into traditional CTR, even for top-ranking content.
  • Being cited in the AI Overview may soon matter more than being #1 in organic results.
  • Studies from Ahrefs, Amsive, and AWR confirm measurable CTR declines linked to AIO growth.
  • Traject Data’s SERP API is ready to help you monitor and adapt to these changes at scale.
  • If you’re serious about protecting your organic visibility, it’s time to measure where you stand in AI-driven search.

Curious about how your brand shows up in AI Overviews—and how to scrape Google AI Overviews and CTR data at scale? Explore Traject Data’s SERP API and start building for an AI-first search world today.

Ready to See What Traject Data Can Help You Do?


We’re your premier partner in web scraping for SERP data. Get started with one of our APIs for free and see the data possibilities that you can start to collect.

Traject Data is Your Premier Partner in Web Scraping


Join thousands of satisfied users worldwide who trust Traject Data for all their eCommerce and SERP data needs. Whether you are a small business or a global enterprise, our entire team is committed to helping you achieve your goals and stay ahead in today's dynamic digital landscape. Unlock your organization's full potential with Traject Data. Get started today.

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