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Scaling SERP Infrastructure in a Post-num=100 World

In September, Google quietly removed the num=100 parameter, a small technical update with big implications for every team that relies on search data. 

What once took a single request to collect now requires multiple. This shift is reshaping how SEO, eCommerce, and AI research teams think about data depth, cost, and performance at scale.

Here’s what changed, why it matters, and how Traject Data is helping teams adapt with confidence.

What Changed

Google’s num=100 parameter previously allowed up to 100 search results per request. Now, each request returns 10 or less results per page. To access deeper results, teams must paginate manually using page parameters.

This shift has affected every SERP API provider. Collecting the same depth of data now requires multiple requests, which increases request volume, latency, and cost.

Why It Matters

This change forces every data team to rethink how they collect, process, and evaluate SERP data at scale. Three key challenges have emerged as a result:

1. Efficiency

Teams are balancing request counts, cost, and infrastructure load as volume increases. What used to be a single call may now require 10 or more, changing how organizations measure efficiency and budget for data collection.

2. Accuracy

Deeper pagination can introduce variability in results. Teams are navigating how to manage duplicates, shifting result sets, and ensure clean, reliable datasets across paged queries.

3. Speed & Volume

Latency and throughput have become critical considerations. For high-frequency or large-scale workloads, even small inefficiencies compound quickly, impacting everything from SEO monitoring to AI model training.

For SEO, eCommerce, and AI research teams, the question isn’t just how deep to scrape, it’s whether the added visibility of deeper ranks is worth the additional cost, complexity, and time to collect.

How Traject Data Helps

At Traject Data, we’ve built our infrastructure to help teams stay flexible, visible, and dependable as Google’s behavior evolves.

  • Pagination Support: Teams can define their own pagination parameters to control depth and coverage across search types.
  • Adaptive Infrastructure: Designed to handle high request volumes and maintain stable performance as workloads increase.
  • Transparent Usage Controls: Our team works directly with customers to fine-tune query settings, frequency, and cost efficiency as needs evolve, ensuring stability without unexpected spend or performance tradeoffs.
  • Flexible Coverage Options: Supports multi-page collection for teams that need deeper visibility, without sacrificing predictability or reliability.

Built for Data Teams at Scale

Trusted by data-intensive organizations across SEO, eCommerce, and AI, Traject Data’s infrastructure supports high request volumes and consistent performance across regions.

Our systems are built to stay stable through changes like Google’s num=100 update, giving teams confidence that their workflows, and their data quality, remain dependable as the SERP landscape continues to shift.

Traject Data’s Take

At Traject Data, we believe stability is a product feature. 

As Google continues to evolve its search results behavior, our focus remains on helping customers maintain reliable, efficient, and transparent data pipelines — no matter what changes next.

If you’d like to discuss how these changes might affect your data workflows, contact our team.

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.

View All Serp APIs

Navigating Google’s num=100 Removal: What It Means for SERP Monitoring

Why Everyone’s Talking About This

In early September 2025, Google quietly removed the num=100 parameter. For years, this setting allowed SEO and data teams to pull the top 100 search results in a single scrape. 

Now, that shortcut is gone. Instead of one scrape delivering 100 results, it takes 10 separate scrapes to collect the same data depth. Each scrape carries resource costs — and those costs ripple through to vendors and their customers.

This change has caused a scramble across the industry. Many vendors have already announced new pricing models or higher rates. If you’ve seen a surprise price increase from your current provider, this is why.

In this post, we’ll explain the change, what it means for your monitoring, and how Traject Data has prepared to keep your reporting reliable and your costs predictable.

What Changed: From One Pull to Ten

The removal of the num=100 parameter is a fundamental shift in how SERP data is collected.

  • Before: One scrape = up to 100 results.
  • Now: One scrape = 10 results. To get 100 results, you need 10 scrapes.

That means pulling deep SERP data now requires significantly more resources. Vendors who weren’t ready are scrambling to adjust their systems — and their billing.

The Industry Impact: Rising Costs and Surprised Customers

Across the SEO and data industry, providers are reacting in different ways:

  • Some vendors have introduced per-page pricing, where each page of 10 results is billed separately.
  • Others are raising rates outright to cover the added scraping overhead.
  • Customers are reporting service interruptions or billing confusion as providers adapt.

For example, DataForSEO recently announced that their base rate now only covers the first 10 results. Each additional page (10 more results) is billed at 75% of the base rate. For customers who rely on full 100-result SERPs, that can mean paying close to 8× more than before.

The bottom line: if your provider wasn’t prepared, you’re likely feeling the impact already.

How Traject Data Responded: Stability First

At Traject Data, we anticipated this change earlier in the year and built safeguards into our systems. When Google removed the parameter, our customers were able to adjust their queries immediately and continue receiving results. Our systems were already prepared to handle the change.

Here’s what we’ve done:

  • Pagination already built in: Our APIs automatically handle the new multi-scrape approach.
  • Core monitoring remains stable: If your focus is on the top 10–20 results, your workflows continue as expected.
  • Safeguards in place: Because of the new pagination, occasional anomalies like duplicate results are possible. We’ve built logic to minimize this and continue refining it.

By acting early, we ensured customers didn’t wake up without a solution already available to restore their reports and manage costs effectively.

Why Traject Data is Different

Google’s update hit the entire industry, but not every vendor handled it the same way. Here’s how we stand apart:

  • Proactive, not reactive: We prepared months in advance so customers wouldn’t feel disruption.
  • Predictable pricing: No surprise hikes. We provide flexible options for deeper SERP coverage when you need it.
  • Built for scale: Our infrastructure delivers efficiencies that let us pass cost savings on to customers.
  • Customer-first: Our focus is on keeping your workflows reliable and transparent — no hidden shifts, no sudden surprises.

What This Means for You

  • If your monitoring needs focus on the top 10–20 results, your reporting is expected to remain consistent with no new costs.
  • If you need deeper coverage (full SERPs, 50–100 results), we have options to keep your costs predictable and your analysis efficient.
  • If you’ve recently experienced sudden price increases or unexpected billing changes with another provider, Traject Data offers a smarter, more stable alternative.

Conclusion & Call to Action

Google’s removal of the num=100 parameter has shaken the industry. Many vendors are scrambling to adjust — and passing the cost on to customers.

At Traject Data, we anticipated this shift and acted early. That means our customers have stability, foresight, and predictable pricing, even in the face of industry-wide change.

If you’re frustrated with sudden SERP price hikes, now is the time to explore a better path.

Contact us today to see how Traject Data can keep your monitoring reliable and your costs predictable.

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.

View All Serp APIs

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.

View All Serp APIs

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.

View All Serp APIs

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.

View All Serp APIs

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.

View All Serp APIs

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.

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How to Scrape Google Shopping Results with a SERP API

Google Shopping receives around 1.2 billion searches every month, making it one of the most powerful platforms for product discovery and ecommerce intelligence. Whether you’re a marketer, data analyst, or product manager, learning how to scrape Google Shopping data can unlock massive insights into trends, pricing, and competitors.

In this post, we’ll show you how to scrape Google Shopping results using a SERP API—specifically, how Traject Data’s SERP API makes this process efficient, scalable, and compliant.

Why Scrape Google Shopping?

Scraping Google Shopping results gives businesses access to a treasure trove of data that can support smarter decisions, better SEO strategies, and sharper competitive analysis. Here’s what you can do with the data:

🔍 SEO Strategy Optimization

Monitor your website’s rankings, analyze competitor placements, and find the keywords that drive traffic in your industry.

🏆 Competitive Analysis

See how your competitors price their products, where they rank in organic and paid listings, and what kind of messaging they use.

📈 Market and Consumer Insights

Discover trending products, customer search behavior, and emerging needs—insights that can shape product development and marketing campaigns.

👥 Lead Generation

Extract contact details and business information from listings to fuel sales outreach.

✍️ Content Creation & Ideation

Analyze top-ranking pages and product descriptions to generate new content ideas or improve existing ones.

📣 Brand Monitoring

Track how your brand shows up on Google, monitor sentiment, and stay ahead of potential reputation issues.

💰 Advertising & Pricing Intelligence

Keep tabs on competitors’ ad placements, promotions, and pricing strategies in real time.

⚙️ Efficient & Scalable Data Collection

Automated scraping beats manual research in speed, accuracy, and cost-effectiveness—especially at scale.

Benefit Description
SEO Optimization Track rankings, discover keywords, and refine strategies
Competitive Analysis Monitor competitor pricing, positions, and campaigns
Market Insights Spot trends and consumer demands early
Lead Generation Gather contact details for outreach
Content Ideation Create content based on search behavior and top pages
Brand Monitoring Track mentions and manage reputation
Ad & Pricing Intelligence Monitor ads, adjust pricing strategies
Scalable Data Collection Automate data collection to save time and reduce errors

Best Practices: How to Scrape Google Shopping Responsibly

Scraping can be incredibly valuable, but it must be done thoughtfully and ethically. Here are best practices to follow when scraping Google Shopping results:

  • Scrape Only Public Data: Focus on publicly visible information like product titles, prices, ads, and retailers—not personal or sensitive data.
  • Use Rate Limiting: Avoid sending too many requests too quickly to prevent getting blocked.
  • Respect Google’s Terms of Service: While viewing data is legal, scraping can violate Google’s TOS—so proceed carefully.
  • Follow Privacy Laws: Be aware of data protection regulations like GDPR and CCPA.
  • Use a Reliable SERP API: Google employs strong anti-scraping technology. To avoid issues, it’s best to use a professional scraping service like Traject Data.

How to Scrape Google Shopping Results with Traject Data

If you’re wondering how to scrape Google Shopping without getting blocked or bogged down by code, Traject Data makes it simple.

Here’s how it works:

🔑 Step 1: Get API Access

Sign up for a Traject Data account and receive your SERP API key.

🔍 Step 2: Configure Your Query

Set up your request with parameters like:

  • Product search term
  • Location targeting
  • Filters like price range or condition

🧾 Step 3: Retrieve Structured Data

Your request returns structured data (typically in JSON format) with details like:

You can then integrate this data into your dashboards, analytics tools, or pricing engines.

Additional Resources to Get Started

Why Use Traject Data’s SERP API?

Here’s why Traject Data stands out for scraping Google Shopping results:

  • Scalable Performance: Handle thousands of requests daily without throttling or downtime.
  • Accurate Results: Get fresh, reliable data from real-time scraping technology.
  • Localized Insights: Pull results based on specific geographic locations or user preferences.
  • Developer-Friendly: JSON responses are easy to work with, and the API is built for flexibility and speed.
  • Cost-Effective: Avoid the overhead of building and maintaining your own scraping tools.

Make Smarter Ecommerce Decisions with Traject Data

When you know how to scrape Google Shopping the right way, you can tap into powerful insights that help you optimize campaigns, adjust pricing, and outmaneuver your competition. Traject Data’s SERP API is designed to make that easy—with accurate, scalable access to the data you need.

Ready to start scraping Google Shopping like a pro?
 Explore Traject Data’s SERP API today and take your data strategy to the next level.

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.

View All Serp APIs

Unlock the Power of Search Data: Your Guide to SERP Scraper APIs

Ever wondered how businesses effortlessly gather all that search engine data? Well, a big part of that comes down to SERP scraper APIs. If you’re looking to dive into the world of data-driven decision-making, understanding how to use these APIs is a great starting point.

In this blog post, we’ll break down how to get started with SERP scraper APIs. We’ll cover everything from the basics to practical steps, empowering you to harness the power of search engine results page (SERP) data.

What is a SERP Scraper API?

Before we get into the “how-to,” let’s define our terms. A SERP scraper API is a tool that allows you to automatically extract data from search engine results pages.

SERP: The Search Engine Results Page, which is the page displayed by a search engine (like Google, Bing, etc.) in response to a user’s search query.

Whenever you search for something on Google, Bing, or any other search engine, you get a page full of results. This page contains a treasure trove of information, including:

  • Organic search results
  • Paid advertisements
  • Featured snippets
  • Local packs
  • And much more

A SERP scraper API is designed to grab this data and deliver it to you in a structured, easy-to-use format (like JSON). This automation is a game-changer because it eliminates the need for manual data collection, saving you time and resources.

Why Use a SERP Scraper API?

You might be wondering, “Why should I bother with a SERP scraper API?” Here are a few compelling reasons:

  • SEO Analysis: Track keyword rankings, monitor competitor strategies, and identify opportunities to improve your search engine optimization efforts.
  • Competitor Analysis: Keep an eye on your competitors’ online presence, ads, pricing, inventory, and marketing tactics.
  • Omnichannel eCommerce Monitoring: Collect data from multiple sources to build comprehensive databases and reports across all channels.
  • Pricing Strategies: Make informed decisions based on real-time data and gain a competitive edge.
  • Brand Protection: Identify unauthorized use of your brand name or logo, allowing you to take swift action against infringement.
  • Review Monitoring: Gather reviews from various platforms to understand customer sentiment, identify areas for improvement, and manage your online reputation.

Are SERP Scraping APIs legal?

Scraping publicly available data is legal. However, users must comply with a website’s terms of service or risk being blocked. Scraper APIs must follow these guidelines:

  • Scrape Only Publicly Available Data
  • Respect a Site’s Terms of Service
  • Ensure Compliance with Data Privacy Laws

How to Get Started with SERP Scraper APIs

Let’s get to the heart of the matter: how to get started with SERP scraper APIs. Here’s a step-by-step guide to help you navigate this process:

1. Choose the Right SERP Scraper API Provider

The first and most crucial step is selecting a reliable SERP scraper API provider. With so many options available, it’s essential to choose one that meets your specific needs. Here are some factors to consider:

  • Data Accuracy and Reliability: Ensure the provider delivers accurate and up-to-date data.
  • Coverage: Check if the API supports the search engines and locations you need.
  • Scalability: Consider whether the API can handle your current and future data needs.
  • Ease of Use: Look for a provider with clear documentation and a user-friendly interface.
  • Pricing: Evaluate the pricing structure and choose a plan that fits your budget. Many SERP providers also provide a free trial.
  • Customer Support: Good customer support is essential in case you run into any issues.
  • Integration Abilities: Whether you’re integrating the SERP API into an existing tool or analytics platform, seamless integration is vital. Evaluate the SERP API vendor’s batch automation and delivery options. Can the API provider deliver the required data to your specified destination frequently enough to keep you updated on search results?
  • Resilience and Reliability: As search engines make frequent updates, Google’s recent updates caused major outages for SERP providers. Choose a platform designed for adaptability to reduce downtime.

2. Sign Up and Get Your API Key

Once you’ve chosen a provider, the next step is to sign up for an account. Most providers offer free trials or starter plans that allow you to test their services before committing to a paid subscription.

After signing up, you’ll typically receive an API key. This unique key is your credential for accessing the API. Treat it like a password and keep it secure.

3. Read the Documentation

Before you start making API requests, it’s crucial to familiarize yourself with the provider’s documentation. The documentation will provide you with essential information, such as:

  • API endpoints
  • Request parameters
  • Authentication methods
  • Response formats
  • Error codes
  • Usage limits

4. Make Your First API Request

Now that you have your API key and understand the documentation, it’s time to make your first API request. The specific request will depend on the provider and the type of data you want to extract.

Here’s a general example of how an API request might look (using a Traject Data’s SerpWOW API):

GET /search

Performing a search is as simple as making a GET HTTP request to the SerpWow /search endpoint. The only required parameters are:

  • api_key – Sign up for free to get an API key.
  • q – Your search query.

For example, to search for the phrase pizza, the SerpWow search request would be:

https://api.serpwow.com/search?api_key=demo&q=pizza

To view SerpWow JSON results clearly in your browser, we recommend these extensions for Chrome and Firefox.

For more documentation, visit: docs.trajectdata.com

7. Store and Analyze the Data

Once you’ve extracted the data, you’ll likely want to store it in a database or file for further analysis. You can then use various tools and techniques to gain insights from the data, such as:

  • Spreadsheets (e.g., Google Sheets, Microsoft Excel)
  • Databases (e.g., MySQL, PostgreSQL)
  • Data visualization tools (e.g., Tableau, Power BI)

Benefits of Using Traject Data’s SERP API:

  • Comprehensive Coverage: Traject Data collects data across all major search engines, Google, Bing, Amazon, Walmart, and more.
  • User-Friendly API: Easily integrate SERP scraping into your existing marketing tools.
  • Built for the Future: At Traject Data, we’ve designed our scraping solutions with adaptability in mind, enabling us to respond quickly to industry shifts like Google’s latest updates.
  • Client Success Stories: We’ve helped numerous businesses navigate these challenges and come out stronger on the other side.

If you’re ready to gain a competitive edge with real-time insights, explore Traject Data’s APIs today and start optimizing your SEO strategy.

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.

View All Serp APIs

How to Scrape Google Ads for Competitive Insights

In the world of digital marketing, data is everything. Understanding your competitors’ Google Ads strategies can help you refine your own approach, optimize ad copy, and identify valuable keywords. But how can you gather this data efficiently? Scraping Google Ads is a powerful way to collect insights on competitor campaigns, ad placements, and keyword trends. 

In this article, we’ll explore why scraping Google Ads is useful, the best methods to do it, the legal considerations, and how Traject Data can help automate the process.

Why Scrape Google Ads?

The average business wastes 76% of their PPC budget on ineffective strategies, largely due to not tracking competitors’ activities. Scraping Google Ads can unlock valuable data that helps businesses refine their pay-per-click (PPC) strategies. Here’s what you can gain:

  • Competitive Intelligence. By analyzing Google Ads results, you can uncover which keywords your competitors are targeting, how frequently their ads appear, and what messaging they use. This information allows you to refine your bidding strategy and gain an edge in the market. 
  • Monitor Brand Bidding. A common practice today is “brand bidding”, where competitors bid on your brand terms. A customer searches for your company, but your competitor’s site appears first in the search results. You could be losing customers to this practice, making it essential to monitor.
  • Ad Copy Optimization. Seeing how competitors craft their ad copy provides insight into what works and what doesn’t. You can analyze calls to action, headline structures, and descriptions to improve your own ad performance.
  • PPC Strategy Enhancement. Scraping Google Ads data helps you identify which keywords are being heavily contested and which might present opportunities for lower-cost, high-converting traffic.
  • Market Trends & Insights. By tracking ad placements over time, businesses can spot seasonal trends, shifts in competitor focus, and emerging industry keywords.

Best Methods to Scrape Google Ads

There are several ways to collect Google Ads data, some free and some paid, each with its own advantages and limitations.

1. Manual Data Collection

The simplest method is to conduct Google searches and document the ads manually. Type in the search term, and see what appears. While this is effective for small-scale research, it’s time-consuming and doesn’t scale well.

2. Google Transparency Center 

The Google Ads Transparency Center provides useful tools to monitor ads. Visit the Google Ad Transparency Center, search for the competitor’s domain or name, and explore their active and past ads, filtering by ad type, location, or date range. This tool is useful but limited and requires manual effort.

3. Google Ads API

Google provides an official Ads API, but it’s primarily designed for advertisers managing their own campaigns. It doesn’t provide competitive data unless you have direct access to an advertiser’s account.

4. Third-Party Analytics Tools

Platforms like Semrush and SpyFu can monitor competitor ads for you. However, these services can be expensive and limit the number of competitors you can track.

5. SERP APIs (Search Engine Results Page APIs)

SERP APIs automate the collection of ad data from search engine results. A SERP API like Traject Data’s SERPWow allows you to scrape thousands of result pages across all major search engines—including Google, Bing, Yahoo, Baidu, Yandex, Naver, Amazon, and eBay. By using a SERP API, you can automate data collection, gain real-time insights, and get a comprehensive view of different markets and channels.

Challenges of Scraping Google Ads

Scraping Google Ads comes with some challenges, including:

  • Google’s Anti-Scraping Measures: Google employs CAPTCHAs, IP blocking, and JavaScript-based rendering to prevent automated scraping. Creating manual scraping scripts requires excessive maintenance, as Google frequently updates its anti-scraping tactics.
  • Evolving Ad Formats: Google Ads frequently change, making it difficult to consistently extract and structure data across different ad types and formats.
  • Geotargeting and Personalization: Ads can change based on user behavior, location, and other factors, making it difficult to capture consistent data.

Best Practices for Scraping Google Ads

While it is legal to view public ad data, scraping Google Ads requires a careful and ethical approach to ensure compliance with legal and technical restrictions. Follow these best practices:

  • Use APIs for Reliable Data Extraction: Instead of manually scraping Google search results, use a SERP API to obtain structured ad data efficiently without violating Google’s terms of services and risking an IP block.
  • Scrape Only Publicly Available Data: Avoid scraping personal or sensitive information. Focus on ad placements, copy, and keyword usage.
  • Implement Rate Limiting: Sending too many requests in a short period can trigger Google’s anti-scraping defenses. Implement rate limits to avoid detection.
  • Respect Google’s Terms of Service: Google actively discourages web scraping, so ensure your methods align with legal guidelines.
  • Ensure Compliance with Data Privacy Laws: Follow regulations like GDPR and CCPA when handling scraped data.

How Traject Data Can Help

Traject Data offers a reliable SERP API that allows businesses to collect Google Ads data without dealing with the complexities of manual scraping. With real-time data extraction and structured results, Traject Data simplifies competitor ad monitoring.

Benefits of Using Traject Data’s SERP API:

  • Automated Data Collection: Gather Google Ads data at scale without manual work. Monitor competitor ads as they appear in search results.
  • Comprehensive Coverage: Traject Data collects data across all major search engines. 
  • User-Friendly API: Easily integrate ad scraping into your existing marketing tools.

Scraping Google Ads provides businesses with critical insights to optimize their PPC strategies and stay ahead of the competition. While there are challenges and legal considerations, using a SERP API like Traject Data’s can streamline the process and ensure compliance.

Want to start leveraging Google Ads data for better marketing decisions? Explore Traject Data’s SERP API 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.

View All Serp APIs

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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