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ScraperAPI

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Scale web scraping and collect data from any public website without handling proxies or CAPTCHAs.

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Reviews onG2Capterra
78 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Handles complex scraping challenges (proxies, CAPTCHAs, JS rendering) automatically.

Biggest con

Pricing can become substantial for very high volumes of requests.

TL;DR - ScraperAPI

  • Simplifies web scraping by handling proxies, CAPTCHAs, and browser rendering.
  • Provides structured data endpoints for popular websites, delivering clean JSON/CSV.
  • Offers geotargeting with a global proxy pool for localized data collection and high success rates.
Pricing: Free plan available
Best for: Growing teams
4.5/5 across review platforms

What is ScraperAPI?

Editorial review
ScraperAPI is a web scraping API designed to simplify and scale data collection from any public website. It handles common scraping challenges like proxy rotation, CAPTCHA solving, and browser rendering, allowing users to focus on utilizing the data rather than extracting it. The platform offers a plug-and-play API for general web scraping, as well as specialized Structured Data Endpoints (SDEs) that provide pre-parsed, clean JSON or CSV data from popular domains like Amazon, Google, and Walmart. This tool is ideal for developers, data analysts, and businesses of all sizes that need to collect large volumes of web data for various use cases such as market research, competitive analysis, SEO monitoring, AI/ML model training, and e-commerce intelligence. ScraperAPI aims to reduce development time and costs associated with building and maintaining complex scraping infrastructure, offering high success rates and geotargeting capabilities across over 50 countries.

Available on: Web

Pros & Cons

Pros

  • Handles complex scraping challenges (proxies, CAPTCHAs, JS rendering) automatically.
  • Offers pre-parsed structured data from popular e-commerce and search sites.
  • Provides a large global proxy pool for geotargeting and high success rates.
  • Reduces development time and costs for data extraction.
  • Offers a free trial and a free tier for testing.

Cons

  • Pricing can become substantial for very high volumes of requests.
  • Reliance on an external API for core data collection functionality.
  • Specific structured data endpoints are limited to popular domains.

Ratings Across the Web

4.5(78 reviews)

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

Web Scraping APIStructured Data Endpoints (SDEs)Async Scraper for millions of requestsDataPipeline for low-code automationGeotargeting with 40M+ proxies in 50+ countriesJS RenderingPremium residential & mobile IPsAdvanced bot bypassing

Pricing Plans

Free Trial

Pricing checked Jun 12, 2026

Hobby

$49 / month

  • 100,000 API Credits
  • 20 Concurrent Threads
  • US & EU regions only

Startup

$149 / month

  • 1,000,000 API Credits
  • 50 Concurrent Threads
  • US & EU regions only

Business

$299 / month

  • 3,000,000 API Credits
  • 100 Concurrent Threads
  • All country-level Geotargeting

Scaling

$475 / month

  • 5,000,000 API Credits
  • 200 Concurrent Threads
  • All country-level Geotargeting

Enterprise

Contact Sales

  • 5,000,000+ API credits
  • 200+ Concurrent Threads
  • Dedicated Support Team
  • Slack Support

How ScraperAPI's pricing compares

At $49/mo, ScraperAPI is mid-range of its 2 direct competitors ($39 to $49/mo across the set).

ScraperAPI
$49

Entry paid plan, monthly. Pricing checked Jun 12, 2026.

Reviews

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4.5/5

Across 78 verified user reviews on Capterra, G2

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ScraperAPI FAQ

How does ScraperAPI simplify web data collection?

ScraperAPI simplifies web data collection by automatically handling common scraping challenges such as proxy rotation, CAPTCHA solving, and browser rendering. This allows users to concentrate on leveraging the collected data rather than managing the extraction process. It provides a plug-and-play API designed for general web scraping needs.

Which teams benefit most from using ScraperAPI?

Teams of developers, data analysts, and businesses of all sizes that require collecting large volumes of web data for purposes like market research, competitive analysis, or AI/ML model training benefit most. The tool helps reduce development time and costs associated with building and maintaining complex scraping infrastructure. It is particularly useful for e-commerce intelligence and SEO monitoring.

How does ScraperAPI compare to ScrapingBee?

ScraperAPI, like ScrapingBee, aims to simplify web scraping by managing proxies and CAPTCHAs. ScraperAPI distinguishes itself by offering specialized Structured Data Endpoints that provide pre-parsed, clean JSON or CSV data from popular domains such as Amazon, Google, and Walmart. It also provides geotargeting capabilities across over 50 countries.

What kind of data can be extracted using ScraperAPI's Structured Data Endpoints?

ScraperAPI's Structured Data Endpoints provide pre-parsed, clean JSON or CSV data from popular domains. These specialized endpoints are designed for sites like Amazon, Google, and Walmart. This feature allows users to receive ready-to-use data without additional parsing.

What are the limitations of using ScraperAPI?

A limitation of ScraperAPI is that its pricing can become substantial for very high volumes of requests. Additionally, users are reliant on an external API for their core data collection functionality. The specific structured data endpoints are also limited to popular domains.

Does ScraperAPI include a free tier?

Yes, ScraperAPI offers a free tier for users to test its capabilities, along with a free trial. For more extensive usage and additional features, paid plans are available. This allows users to scale their data collection as needed.

Can ScraperAPI handle JavaScript rendering for dynamic websites?

Yes, ScraperAPI is designed to handle JavaScript rendering, which is crucial for scraping dynamic websites. This capability ensures that data from modern web pages, which often rely heavily on JavaScript, can be successfully extracted. It is one of the complex scraping challenges the API automatically manages.

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