ScraperAPI - Scale Data Collection with a Simple API

What it is

ScraperAPI is a web scraping service that converts webpages into structured data via API calls. It is designed for developers, data scientists, and businesses that need to collect large-scale public web data without managing the underlying infrastructure. The service handles complexities like proxies, browsers, and CAPTCHAs, returning clean, LLM-ready data.

Main Features

Core Products

• Scraping API: A plug-and-play solution to scale web scrapers and handle data extraction from millions of web sources.
• Structured Data Endpoints: Pre-configured APIs that return parsed JSON data from specific popular domains like Amazon, Google, and Walmart.
• Async Scraper Service: Allows users to send millions of requests asynchronously for large-scale data collection.
• DataPipeline: A low-code tool to automate data collection workflows without writing code.

Geotargeting

• Access to a global pool of over 40 million proxies across more than 50 countries.
• Enables collection of localized data and helps avoid IP blocks.

Supported Integrations

• Native client libraries and documentation for multiple programming languages including cURL, Python, NodeJS, PHP, Ruby, and Java.
• Integration with LangChain for building scalable web scraping agents.

How it works

Automated Data Collection

Users send a URL to the ScraperAPI endpoint. The service manages the entire scraping process, including proxy rotation, browser rendering, and CAPTCHA solving, then returns the extracted data in a structured format like JSON.

Domain-Specific Data Extraction

For supported domains like Amazon and Google, users can utilize Structured Data Endpoints. By sending a specific query or product ID, the API returns only the relevant, parsed data (e.g., product details, search rankings) instead of raw HTML.

Large-Scale Asynchronous Scraping

For enterprise-scale projects, users can submit millions of URLs to the Async Scraper. The jobs are processed asynchronously, and the results are delivered without requiring the user to manage concurrent requests or infrastructure.

Key Points

• The service is designed to handle anti-bot measures and complex websites, aiming for high success rates.
• It eliminates the development time required to build and maintain scraping infrastructure, such as proxy networks and headless browsers.
• The platform is used by over 10,000 companies and has processed over 11 billion requests in a 30-day period.
• It is fully compliant with CCPA and GDPR regulations.
• Enterprise plans offer dedicated account management and live support.

Additional Details

• Pricing: A free trial is available. Paid plans are based on the number of API requests and concurrency limits, with custom enterprise pricing for large-scale needs.
• Availability: The API is accessible globally.
• Requirements: Access requires an API key, which is provided upon account registration. Users interact with the service via standard HTTP requests or official client libraries.
• Use Cases: Commonly used for ecommerce monitoring, market research, SEO/SERP tracking, real estate data collection, and gathering training data for AI/ML models.