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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

Test and Validate Listings with Real-Time Amazon Data

Key Takeaway: Real-time amazon product data allows sellers to test and validate their listings instantly, compare performance to competitors, and make data-driven optimization decisions that boost conversions and sales.

Key Terms

  • Amazon Product Data: Real-time information about product listings, prices, reviews, rankings, and performance metrics
  • A/B Testing: Comparing two versions of a listing to see which one performs better
  • Listing Validation: Confirming that product details display correctly on Amazon
  • Competitive Analysis: Checking how your product performance compared to similar ones
  • BSR (Best Seller Rank): Amazon’s system for ranking how well a products sells in its category

What Is Real-Time Amazon Product Data Testing?

Real-time testing uses live Amazon data to instantly check and optimize your product listings. Instead of waiting weeks for Amazon’s own A/B testing results, you can use current data to make improvements immediately.

In our tests with over 500 Amazon sellers, we found that businesses using real-time data validation catch listing errors 75% faster than manual checks. When we helped one electronics seller with their new product launch, they found missing bullet points and incorrect pricing within hours instead of days.

Why Test with Live Amazon Data?

Catch Issues Before They Cost Sales

Amazon listings can change without warning. Price errors, missing images, or incorrect product details can instantly tank your conversion rates. Real-time validation helps you spot these problems immediately.

Make Faster Optimization Decisions

Traditional A/B testing on Amazon takes eight to weeks for significant results. With real-time Amazon product data, you can test changes and see immediate performance indicators to guide decisions.

Stay Ahead of Competitors

Your competitors are constantly adjusting prices, updating listings, and doing promotions. Real-time data lets you monitor changes and respond quickly to maintain your competitive position.

How to Validate Listings in Real-Time

Step 1: Verify Basic Listing Elements

Start by checking that all your listing components display correctly. Here’s what we validated for a recent client using Rainforest API:

Example: 
{
  "product": {
    "asin": "B08N5WRWNW",
    "title": "Wireless Bluetooth Earbuds with Charging Case",
    "images": [
      {
        "link": "https://m.media-amazon.com/images/I/61abc123.jpg",
        "variant": "MAIN"
      }
    ],
    "feature_bullets": [
      "30-hour battery life with charging case",
      "IPX7 waterproof rating",
      "Premium sound quality"
    ],
    "buybox_winner": {
      "price": {
        "symbol": "$",
        "value": 79.99,
        "currency": "USD"
      }
    }
  }
}

Source: Rainforest API Product Documentation

Step 2: Test Multiple Geographies

Your listing might display differently across Amazon domains. We found that the same ASIN looked very different on Amazon.com versus Amazon.co.uk for one of our clients’ fitness products.

Step 3: Monitor Real-Time Performance Metrics

Track key indicators of listing health. Best Seller Rank changes, review activity, and Buy Box status provide immediate feedback on how your listing is performing.

Comparing Your Performance

Competitive Benchmarking

Check your listings against top competitors with real-time Amazon product data. We helped a kitchen appliance seller analyze their top five competitors’ pricing, features, and customer reviews to identify optimization opportunities.

Real-World Example: A home goods seller we worked with discovered their main competitor was consistently pricing 15% below market rate. Using real-time data, they adjusted their strategy and increased their sales by 23% within two weeks.

Category Performance Analysis

Knowing how your product ranks in its category helps identify areas for improvement. Monitor BSR trends, review patterns, and pricing positions relative to category leaders.

Testing Methods and Tools

Amazon’s Manage Your Experiments vs. Real-Time Testing

Amazon’s built-in testing tool takes weeks for results. Real-time Amazon product data lets you test immediately and iterate faster.

Comparison of Testing Approaches

Traditional Amazon A/B Testing: 8-10 weeks for results, limited to enrolled products, automatic winner selection.

Real-Time Data Testing: Immediate feedback, works with any ASIN, manual decision making based on live data.

Validation Workflows

Here are testing workflows we set up for clients:

  1. Morning Health Check: Validate all active listings for price, stock, and content accuracy
  2. Competitor Monitoring: Track top three competitors for pricing and feature changes
  3. Performance Alerts: Set notifications for significant BSR or review changes
  4. Weekly Deep Dive: Comprehensive analysis of listing performance trends

Advanced Testing Strategies

Multi-Attribute Testing

Test multiple listing elements simultaneously using real-time data. Instead of changing one element at a time, analyze how title, images, and pricing work together to impact performance.

Seasonal Validation

Product performance varies by season. For example, holiday decorations see 300% BSR improvements starting in October, while fitness products peak in January.

Review Sentiment Analysis

Monitor review patterns in real-time to catch quality issues early. When we saw several negative reviews mentioning “poor packaging” for a client’s product, they were able to fix the problem before it affected their ratings.

Business Impact and ROI

Faster Time to Optimization

Sellers using real-time validation reduce their optimization cycles from weeks to days. One toy seller we worked with launched 12 successful products in Q4 by testing and validating listings within hours of creation.

Fewer Lost Sales

Finding listing errors immediately prevents revenue loss. A beauty brand client avoided losing an estimated $50,000 in sales by catching a pricing error less than 2 hours after a product update.

Case Study Integration

See how Sigil used real-time Amazon product data to scale their brand protection efforts and validate unauthorized seller listings across thousands of products.

Integration and Setup

API Implementation

Connect directly to Rainforest API for instant listing validation:

Example: 
curl "https://api.rainforestapi.com/request" \
  -d "api_key=YOUR_API_KEY" \
  -d "type=product" \
  -d "asin=YOUR_ASIN" \
  -d "amazon_domain=amazon.com"

Automated Monitoring

Scheduled validation checks with Collections for your entire catalog and monitor hundreds of ASINs automatically.

Dashboard Integration

Customize dashboards that show real-time listing health, competitor positions, and performance alerts in one centralized view.

For detailed setup guides, visit our product documentation or explore our FAQ section.

Getting Started with Real-Time Testing

Ready to validate your Amazon listings like a pro? Here’s your action plan:

  1. Audit your current listings – Identify which products need immediate attention
  2. Set up monitoring – Track your top-performing ASINs and main competitors
  3. Create testing workflows – Establish regular validation schedules
  4. Optimize based on data – Use real-time insights to improve listing performance

Frequently Asked Questions

What is Amazon product data validation?

It’s the process of checking that your listings display correctly and perform optimally using real-time information from Amazon. This includes verifying prices, images, descriptions, availability, and competitive positioning to maximize sales potential.

How quickly can I validate Amazon listings?

You can check listings instantly with real-time amazon product data APIs like Rainforest API. Amazon’s built-in testing tools take 8-10 weeks, but real-time validation provides immediate feedback.

What should I test on my Amazon listings?

Focus on titles, images, bullet points, descriptions, pricing, stock levels, and Buy Box status. Also monitor competitor performance, review sentiment, and category rankings to identify optimization opportunities and maintain competitive advantage.

How accurate is real-time Amazon data?

Real-time Amazon product data from APIs like Rainforest API pull live info straight from Amazon pages. You see the same prices, stock status, reviews, and details that customers do.

Can I test multiple products simultaneously?

Yes. With Collections API, you can automatically monitor hundreds or thousands of ASINs, track competitors, and get alerts when listings change.

Is real-time testing better than Amazon A/B testing?

Real-time testing works instantly and with any ASIN. Amazon’s tool takes weeks and only works for certain products. The best approach is to use both—real-time for quick fixes and Amazon’s tool for long-term testing.

Ready to See What Traject Data Can Help You Do?

Stop wasting weeks waiting for Amazon’s testing results. Start validating your listings instantly with real-time Amazon product data and get immediate insights for optimization.

Get Started Today:

Join thousands of sellers and brands who trust Traject Data for mission-critical marketplace intelligence.

VieW ALL ECommerce APIS

Transform pricing chaos into competitive advantage. Real data. Real time. Real results.

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.

View All Serp APIs

How to Scrape Amazon ASIN Numbers (Without the Headaches)

If you’re working with Amazon product data—whether for ecommerce analytics, price tracking, or product research—you’ve likely run into the need to collect Amazon ASINs at scale. In this post, we’ll show you how to scrape Amazon ASIN numbers quickly and reliably using an ASIN lookup API designed for performance and scale. Let’s dive in.

What Is an Amazon ASIN?

The Amazon Standard Identification Number (ASIN) is a unique 10-character alphanumeric code used by Amazon to identify products in its marketplace.

Here are a few key facts about ASINs:

  • Amazon’s internal ID system: ASINs help Amazon track and organize millions of products.
  • Not globally standardized: Unlike UPCs or EANs, ASINs only exist within Amazon’s ecosystem.
  • Books are different: For books, the ASIN is typically the same as the ISBN.
  • Regional differences: A single product may have different ASINs across marketplaces like Amazon.com, Amazon.ca, or Amazon.co.uk.

Where to Find an Amazon ASIN (Manually)

If you only need one or two ASINs, manual lookup is fine:

  • Check the product detail page under “Product Information”
  • Look in the URL, typically found after /dp/

But if you need to find hundreds or thousands of ASINs—especially based on barcodes or product identifiers—manual methods won’t cut it. That’s where an ASIN lookup API becomes essential.

Why Scraping Amazon ASINs Is Hard (Without an API)

Scraping Amazon at scale is no easy task:

  • Ever-changing HTML structures: Amazon’s dynamic layout and A/B testing can easily break DIY scrapers.
  • Anti-scraping defenses: CAPTCHAs, IP blocking, and rate limits make automated scraping unreliable.
  • Compliance issues: Understanding Amazon’s terms of service is crucial.
  • Time and cost of maintenance: Scrapers require constant updates and monitoring.
  • Data cleanup: Raw scraped data often needs validation and filtering before it’s usable.

Instead of building your own solution, you can use a specialized ASIN lookup API like Traject Data’s Rainforest API, which handles all the heavy lifting.

How to Use Rainforest API for ASIN Lookup

The Rainforest API makes it easy to scrape Amazon ASINs by converting barcodes (GTINs, UPCs, EANs, or ISBNs) into ASINs automatically. This makes it one of the most effective ASIN lookup APIs on the market.

How ASIN Lookup Works with Rainforest API

  1. Set type=product
  2. Add the gtin parameter (e.g., a UPC, ISBN, or EAN)
  3. Specify the correct Amazon domain using amazon_domain

Rainforest will look up the GTIN on the Amazon site you specify, convert it into an ASIN, and return complete product data.

Example: ASIN Lookup by EAN

https://api.rainforestapi.com/request?api_key=demo&type=product&amazon_domain=amazon.co.uk>in=5702015866637

This query returns the ASIN and product details for the EAN 5702015866637 on amazon.co.uk.

You can review all product data parameters here.

Why Choose Rainforest API as Your ASIN Lookup Tool?

Traject Data’s Rainforest API is:

  • Purpose-built for Amazon product scraping
  • Bypasses anti-scraping blocks automatically
  • Converts GTINs to ASINs reliably
  • Returns structured, clean product data
  • Supports bulk queries for scale

Whether you’re managing a product catalog, tracking marketplace trends, or building an ecommerce app, the Rainforest API is the ASIN lookup API built to save you time and effort.

Start Scraping Amazon ASINs Today

Looking for a fast, reliable way to scrape ASINs from Amazon?

Traject Data’s Rainforest API is your go-to ASIN lookup API—built to handle large-scale, automated product lookups with ease.

👉 Sign up for free to try the Rainforest API
👉 Explore the full Rainforest API documentation
👉 Watch the Rainforest API “Get Started” video

How to Scrape Amazon Data Easily with Traject Data’s Rainforest API

Amazon dominates the online retail landscape, holding 37.6% of the U.S. e-commerce market in 2025—leaving competitors like Walmart far behind. With over 310 million users and 353 million products, Amazon’s reach is unrivaled. In fact, 89% of consumers say they prefer shopping on Amazon over other retailers. Amazon also commands 10.4% of the overall U.S. retail market, making its influence nearly impossible to ignore.

For businesses trying to stay ahead, learning how to scrape Amazon data is critical. From tracking competitor prices to analyzing product reviews and seller rankings, Amazon’s public data holds invaluable insights. But scraping Amazon is notoriously difficult, and maintaining your own scraper can be a nightmare. That’s where a dedicated solution like Traject Data’s Rainforest API comes in.

In this article, we’ll show you how to scrape Amazon data with an API—efficiently, responsibly, and at scale.

What Is an Amazon Scraper API?

An Amazon scraper is a tool or script designed to automatically extract data from Amazon product pages. These tools can be hand-coded or powered by pre-built solutions like Traject Data’s Rainforest API, which dramatically reduces complexity.

Scraping Amazon manually often involves writing custom code, rotating proxies, managing user agents, and constantly updating selectors when Amazon changes its HTML. Using a professional-grade API takes care of all of that for you.

Is It Legal to Scrape Amazon with an API?

The answer is… it depends. Scraping publicly available data (such as product listings, pricing, and reviews) is generally legal when done responsibly and for legitimate business purposes. However, you should always:

Most importantly, work with a provider that takes care to comply with legal and ethical best practices—like Traject Data.

Why Scraping Amazon Is So Challenging

Amazon does not make it easy for scrapers. Here’s why:

  • Dynamic Page Structures: Amazon frequently updates its layout and runs A/B tests, which can break traditional scrapers.
  • CAPTCHAs & Anti-Bot Measures: These defenses detect and block automated tools.
  • Rate Limiting: Too many requests in a short time? Amazon will throttle you.
  • Legal Risk: Navigating the legal gray areas of scraping requires careful consideration.
  • Data Cleanup: Extracted data often needs validation, deduplication, and formatting.
  • Scalability: Extracting millions of records requires reliable infrastructure and optimization.

Instead of handling all these issues manually, many turn to a purpose-built Amazon scraper API.

How to Scrape Amazon Product Data Effectively

So, how do you actually scrape Amazon data responsibly?

The best option is using a dedicated API that’s designed for Amazon’s structure. APIs like Traject Data’s Rainforest API eliminate the need for proxy management, CAPTCHA solving, and HTML parsing.

Step-by-Step Guide to Using the Rainforest API

Here’s how to start scraping Amazon with Traject Data’s Rainforest API:

1. Sign Up for an API Key

Head to Traject Data and sign up to get your unique API key. This key acts like your password—keep it secure.

2. Review the API Documentation

Read the Rainforest API documentation to understand the available endpoints and parameters. You’ll find examples for search results, bestsellers, seller profiles, reviews, and more.

3. Make Your First Request

Here’s a simple example to retrieve bestselling products for “memory cards” on Amazon.com:

plaintext

https://api.rainforestapi.com/request?api_key=demo&type=bestsellers&url=https://www.amazon.com/s/zgbs/pc/516866

Replace "demo" with your actual API key. Visit the Rainforest documentation for common parameters.

This returns structured JSON data in real time—including product names, prices, ASINs, and ranking positions. You can integrate this directly into your data pipeline or BI tool.

4. Send the Data to Your Favorite BI Tool

Traject Data’s Rainforest API integrates easily with platforms like Looker, Tableau, and Power BI. You can filter, sort, and analyze data to fit your specific goals.

Why Choose Traject Data’s Amazon Rainforest API?

The Rainforest API is designed to make scraping Amazon data scalable, legal, and developer-friendly.

✅ Easy Integration

Plug into your data stack using standard HTTP requests. No proxy rotation or headless browsers required.

✅ Rich, Real-Time Data

Access live data for search results, product pages, reviews, seller feedback, and much more.

✅ Clean, Structured Output

Receive pre-parsed, ready-to-use JSON—no scraping or post-processing needed.

✅ Scalable & Reliable

Enterprise-grade infrastructure supports large-scale data extraction with uptime and speed guarantees.

✅ Developer Support & Documentation

Get started fast with code samples, SDKs, and responsive support.

Start Scraping Amazon Data Today

If you’re looking to understand the Amazon marketplace, track competitor trends, or power your ecommerce analytics, don’t build your own scraper from scratch. Traject Data’s Rainforest API offers a reliable, secure, and scalable way to get the data you need—without the headaches.

👉 Sign up for free to try the Rainforest API
 👉 Explore the full Rainforest API documentation
 👉 Watch the Rainforest API “Get Started” 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 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.

View All Serp APIs

Scrape Home Depot Data at Scale Using Traject Data’s BigBox API

Home Depot is the world’s largest home improvement retailer, with over 2,200 stores across the U.S., Canada, and Mexico. From pricing data to product listings and customer reviews, HomeDepot.com offers a wealth of publicly available information—if you know how to access it.

If you’ve ever wondered how to scrape Home Depot for pricing, inventory, or retail trends, you’re not alone. But doing it yourself can be time-consuming and error-prone—unless you use the right tools.

That’s where Traject Data’s BigBox API comes in. Whether you’re tracking competitors, monitoring product availability, or powering your analytics dashboards, our BigBox and Backyard APIs make it fast, reliable, and compliant to scrape Home Depot data in real time.

In this guide, we’ll show you how to scrape Home Depot with BigBox API, what data you can access, and how to get started in minutes.

What Is a Scraper API?

A scraper API is a tool that extracts data from websites in a structured format like JSON or CSV—without needing to build and maintain your own web scraping infrastructure.

Instead of writing code to handle shifting HTML structures and bypass anti-bot defenses, you simply send a request to the API. It returns clean, ready-to-use data.

Think of it as a supercharged assistant that visits HomeDepot.com, grabs the data you care about, and delivers it to you instantly.

Why Scrape HomeDepot.com?

Here are some common use cases for scraping Home Depot:

  • Price Monitoring: Track changes in pricing across categories and products.
  • Customer Sentiment: Monitor customer reviews and ratings. 
  • Product Availability: See when items are in stock—or not.
  • Competitor Intelligence: Compare your product lineup and pricing against Home Depot.
  • Retail Trend Tracking: Identify best-sellers, new arrivals, and seasonal shifts.

Scraping Home Depot gives you a real-time view into one of the most influential big-box retailers in the U.S.

What Data Can You Scrape from Home Depot?

With BigBox API, you can extract a wide range of publicly available data from HomeDepot.com, including:

  • Product names, prices, images, and descriptions
  • Reviews, star ratings, and customer questions
  • Categories and subcategories
  • Search results and product rankings
  • SKU numbers and inventory status

All data is returned in a clean, structured format—perfect for plugging into your analytics tools or retail intelligence platform.

Is It Legal to Scrape Home Depot?

Yes—if you’re scraping public data responsibly.

BigBox API only accesses publicly visible information on HomeDepot.com—the same content you can see in your browser. It doesn’t require logins or break terms of service. In fact, using a third-party API like BigBox is a smarter, more compliant way to collect retail data at scale.

Why Use a Third-Party API Instead of Building Your Own Scraper?

Scraping a complex site like Home Depot comes with constant challenges:

  • HTML structure changes frequently
  • Advanced anti-bot systems block requests
  • IP bans, error handling, and maintenance overhead

With BigBox API, you can:

  • Skip all the engineering headaches
  • Get accurate data, even as the site changes
  • Retrieve structured results instantly
  • Scale your data extraction effortlessly

Let us do the heavy lifting—you focus on the insights.

How to Scrape HomeDepot.com in 4 Simple Steps

Here’s how to get started with BigBox API in just a few minutes:

1. Sign Up for an API Key

Visit BigBox API Signup to create your account and get your personal API key. Treat it like a password—it gives you secure access to the service.

2. Read the Documentation

Explore the API documentation to understand endpoints, parameters, request formats, and best practices.

3. Make Your First API Request

Example: Let’s say you want to scrape search results for “lawn mower” sorted by best sellers. Here’s a sample API request: 

https://api.bigboxapi.com/request?api_key=YOUR_API_KEY&type=search&search_term=lawn+mower&sort_by=best_seller

Just replace YOUR_API_KEY with your actual API key.

BigBox API supports the following request types:

  • type=product
  • type=reviews
  • type=questions
  • type=search
  • type=category

Each request returns structured JSON or CSV data, ready to analyze.

4. Send the Data to Your Favorite BI Tool

BigBox API integrates easily with BI platforms like Looker, Tableau, and Power BI. Filter, sort, and analyze your data however you want.

Bonus: Scrape Both Home Depot and Lowe’s with Backyard API

Need data from both Home Depot and Lowe’s?

Check out Traject Data’s Backyard API—a unified solution for scraping public-domain data from top home improvement retailers. Backyard supports product listings, reviews, search results, and category data from both sites, returned in clean, structured formats.

It’s everything you need to power omnichannel insights in one API.

Start Scraping Home Depot Today

If you’re looking for the best way to scrape Home Depot data—legally, at scale, and without writing your own scrapers—Traject Data’s BigBox API is your answer.

👉 Sign up for BigBox API

👉 Explore the BigBox documentation

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

Ready to See What Traject Data Can Help You Do?

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How to Scrape eBay: A Simple Guide with Traject Data’s SERP API

If you’re wondering how to scrape eBay to collect valuable product data, pricing information, or customer reviews, you’re in the right place. In this guide, we’ll break down the purpose of eBay scraping, what kind of data you can collect, and how to easily get started using Traject Data’s Countdown API — a fast, reliable solution for web scraping eBay in real time.

What is the Purpose of a Web Scraper for eBay?

eBay currently has over 133 million active users worldwide, and hosts about 2.1 billion live listings at any given time, making it one of the largest online marketplaces globally. Web scraping eBay allows you to gather real-time information directly from eBay’s listings, product pages, and customer reviews. Whether you’re tracking price changes, monitoring competitor products, analyzing market trends, or building your own ecommerce comparison tool, scraping eBay can give you the insights you need to stay ahead.

Without scraping, manually collecting this data would be time-consuming and prone to error — not to mention impossible to scale.

What Information You Can Gather from Scraping eBay

When you scrape eBay, you can collect a wide range of valuable data points, including:

  • Product names and descriptions
  • Pricing and discount information
  • Seller ratings and reviews
  • Shipping costs and availability
  • Search results and autocomplete suggestions
  • Inventory levels and stock status

Using an API like Traject Data’s Countdown API, you can pull this information in structured formats like JSON or CSV, making it easy to use for analysis, automation, or reporting.

Why You Should Leverage a Third-Party API for Scraping

Building and maintaining your own web scraper for eBay can be a major challenge. eBay’s website structure changes frequently, and it employs techniques like bot detection, rate limiting, IP blocking, proxy detection, and CAPTCHAs to block scrapers.

Instead of dealing with the technical headache yourself, it’s far more efficient to use a third-party scraping API. Here’s why:

  • Real-Time Data: APIs like Countdown retrieve data from eBay instantly, without delays.
  • Reliable Uptime: No need to worry about scraper breaks or website updates.
  • Structured Output: Receive clean, ready-to-use data in JSON or CSV format.
  • Scalability: Easily scale your data extraction across different eBay domains worldwide.
  • Reduced Risk: Let the API handle proxies, captchas, and anti-bot protections.

If you’re serious about how to scrape eBay effectively, using a trusted scraping API is the way to go.

scraping ebay with an API

Step-by-Step Guide to Scraping eBay

Ready to start scraping eBay data quickly and easily? Here’s how to do it with Traject Data’s Countdown API:

1. Sign Up for an API Key

First, sign up here to get your unique API key. Think of your API key like a password — it’s your credential for accessing the API, so keep it secure.

2. Read the Documentation

Before making any requests, visit the Countdown API documentation to understand the available endpoints, parameters, and response formats. Getting familiar with the docs will save you time and effort later.

3. Make Your First API Request

Once you have your API key and you’ve reviewed the documentation, you’re ready to make your first request.

Countdown API enables you to scrape real-time data from any eBay domain worldwide, including:

  • Products
  • Reviews
  • Search results
  • Autocomplete suggestions
  • And more

Requests are executed live and return clean, structured data that you can customize using a variety of request parameters.

🔍 Example: Retrieving Search Results from eBay

Making a request is as simple as sending an HTTP GET call to the /request endpoint. The only required parameters are:

  • api_key: Your unique key (sign up for free!)
  • type: The type of data you want to scrape (for example, search)

Here’s an example request to scrape search results for “memory cards” on ebay.com:

https://api.countdownapi.com/request?api_key=demo&type=search&ebay_domain=ebay.com&search_term=memory+cards

This will return real-time search data directly from eBay, cleanly formatted for your project.

Get Started with Traject Data Today

If you’re serious about learning how to scrape eBay without the technical hassle, Traject Data’s Countdown API is your best solution. With fast real-time scraping, global eBay coverage, and clean structured results, it’s never been easier to access the eBay data you need.

Sign up for free and start scraping eBay with Traject Data today!

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How to Scrape Target: A Step-by-Step Guide Using Traject Data’s RedCircle API

If you’ve ever wondered how to scrape Target for pricing, product listings, or reviews, you’re not alone. Target.com is a goldmine of retail data, but getting that information programmatically can be tricky—unless you have the right tools.

That’s where Traject Data’s RedCircle API comes in. Whether you’re tracking competitors, monitoring inventory, or powering a retail analytics dashboard, our SERP API makes it easy (and legal) to scrape Target data in real time. In this post, we’ll break down how it works, what you can get from scraping Target, and how to get started.

What is a Scraper API?

A scraper API is a tool that helps you extract data from websites in a structured format, like JSON or CSV, without writing and maintaining your own web scraper code. Instead of dealing with ever-changing HTML and anti-bot measures, you simply make a request to the API and get back clean, ready-to-use data.

Think of it like asking a really smart assistant to go to Target.com, look up products, and bring you back the information you need—all in seconds.

Benefits of Scraping Target.com

So, why would someone want to scrape Target in the first place? Here are a few common use cases:

  • Price monitoring: Track pricing trends across products or categories.
  • Product availability: Know when specific items go in or out of stock.
  • Competitor intelligence: Understand how Target positions products vs. your own.
  • Retail trend tracking: Analyze best-sellers, new arrivals, and seasonal shifts.

Scraping Target offers a real-time window into one of the largest big-box retailers in the U.S.

Information You Can Gather From Scraping Target.com

With the RedCircle API, you can retrieve a wide variety of public-facing data from Target.com, including:

  • Product names, prices, descriptions, and images
  • Reviews and star ratings
  • Category and subcategory listings
  • Search result rankings
  • SKU and inventory status

All of this data is available through simple API calls, and returned in a structured format that’s easy to plug into your analytics stack.

Is It Legal to Scrape Target.com?

The short answer: yes, if you’re accessing public data and doing it the right way.

RedCircle API only retrieves data that’s publicly available on Target.com—things a regular user could see in their browser. It doesn’t bypass any login systems or violate any terms of service through unethical behavior. In fact, using a third-party API like RedCircle helps you stay compliant, since the API handles data collection responsibly and at scale.

Why You Should Leverage a Third-Party API for Scraping

Building and maintaining your own scraper for a complex site like Target.com is a full-time job. HTML structure changes. Anti-bot protections get stronger. IP bans happen. Error handling becomes a nightmare.

With a third-party solution like RedCircle API, you:

  • Eliminate maintenance headaches
  • Access data reliably, even as the website changes
  • Get structured, ready-to-use results instantly
  • Scale your data extraction without bottlenecks

Let us handle the scraping. You focus on the insights.

Step-by-Step Guide to Scraping Target.com

Ready to get started? Here’s how you can begin scraping Target data in minutes with RedCircle API:

1. Sign Up for an API Key

Head over to https://app.redcircleapi.com/signup to create your account and receive your unique API key. Treat this key like a password—it’s your secure access token for making requests.

2. Read the Documentation

Before jumping in, review the API docs. The documentation includes everything you need: endpoints, parameters, request examples, and best practices.

3. Make Your First API Request

Once you’ve got your key and know what you’re looking for, it’s time to start extracting data. You can use RedCircle API to retrieve products, reviews, search results and category listings from Target.

RedCircle API returns clean, structured JSON or CSV results. You can achieve fine-grained control over your request using the request parameters.

Example API Request

Here’s a sample request to retrieve Target search results for highlighter pens using RedCircle API:

https://api.redcircleapi.com/request?api_key=demo&type=search&search_term=highlighter+pens&sort_by=best_seller

Replace demo with your actual API key for live data.

You’ll get back a structured JSON object containing products, prices, links, and more.

Supported Request Types

RedCircle API supports multiple request types to help you retrieve exactly the data you need:

  • type=search – Search result pages
  • type=product – Specific product data
  • type=category – Category listings
  • type=reviews – Product reviews

You can even filter and sort your results using additional parameters. It’s flexible, fast, and designed to scale.

Click Through to Get Started with Traject Data

If you’re serious about extracting ecommerce data from Target, don’t waste time building your own solution from scratch. Traject Data’s RedCircle API is your out-of-the-box answer to how to scrape Target safely, legally, and at scale.

👉 Sign up now to start scraping Target
 👉 Explore the full RedCircle API documentation

Questions? Want a custom data plan? Contact us—we’d love to help you scale your omnichannel retail insights.

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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Unlocking Real Estate Insights with SERP API: A New Frontier in Market Intelligence

In today’s dynamic real estate landscape, traditional data sources often lag behind the rapid shifts in buyer behavior and market trends. Enter the power of real estate data with SERP API—a transformative approach that leverages real-time search engine insights to stay ahead of the curve.​

The Current Challenge: Navigating a Frozen Market

With many homeowners locked into sub-3% mortgages, inventory remains tight, and affordability is a pressing concern. Conventional reports frequently arrive too late to inform timely decisions. Real estate professionals require proactive tools to anticipate demand and adapt strategies accordingly.​

Harnessing SERP Data for Real Estate Intelligence

Traject Data offers access to raw, real-time SERP (Search Engine Results Page) data, unveiling what potential buyers are searching for and where market shifts are emerging. Here’s how this data can be utilized:​

1. Market Analysis

  • Detect spikes in searches like “townhouses in Tempe” or “condos in Jersey City,” signaling rising interest before listings catch up.
  • Monitor demographic trends, such as the growing popularity of “single-level homes near parks” among baby boomers.
  • Track evolving preferences, with queries shifting from “homes with home office” to “homes near transit” as remote work dynamics change.​

2. Competitor Intelligence

  • Identify which brokerages consistently rank high in target neighborhoods.
  • Observe how competitors adapt listings with affordability-focused language like “low down payment” or “first-time buyer eligible.”​

3. SEO Optimization

  • Incorporate trending descriptors such as “walkable,” “starter home,” or “ADU-ready” based on rising search interest.
  • Adjust strategies as attention shifts between urban, suburban, and exurban areas.​

4. Investment Opportunities

  • Use rising search interest in overlooked suburbs or fast-growing secondary cities to guide acquisitions.
  • Monitor demand for models like build-to-rent, co-living, and rent-to-own, especially in price-sensitive regions.​

Real-World Applications

Brokerages utilize SERP API to pinpoint underserved markets and enhance local SEO. Investment firms track demand signals to inform land or portfolio decisions. Marketing agencies craft campaigns aligned with trending keywords and consumer intent.​

Stay Ahead with Real-Time Insights

By integrating real estate data with SERP API, professionals can uncover early buyer interest, identify emerging neighborhoods, and act before the competition. Embrace this innovative approach to transform challenges into opportunities in the ever-evolving real estate market.​

For more information on leveraging SERP data for real estate intelligence, consider exploring Traject Data’s offerings.​

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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