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webscraping.ai

4.6
💬3518
💲Paid

WebScraping.AI is a powerful tool for automated web scraping using AI and advanced technologies like rotating proxies and JavaScript rendering. It enables users to extract structured data, handle CAPTCHAs, and bypass geo-restrictions with ease. The service is ideal for developers and data professionals who need reliable and scalable web scraping solutions.

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Platform
web
AIAPIData extractionGeotargetingHTML parsingJavaScript renderingLLM

What is webscraping.ai?

WebScraping.AI is an AI-powered web scraping API that simplifies the process of extracting data from websites. It handles proxies, browsers, JavaScript rendering, and HTML parsing automatically, allowing users to extract clean text, structured data, or full page content with minimal effort. Ideal for developers, data analysts, and businesses needing to gather information from the web efficiently.

Core Technologies

  • Artificial Intelligence
  • JavaScript Rendering
  • HTML Parsing
  • Proxies
  • API Integration
  • LLM-powered tools

Key Capabilities

  • AI-powered web scraping
  • Rotating proxies
  • JavaScript rendering for dynamic pages
  • HTML parsing
  • Geotargeting
  • MCP server integration

Use Cases

  • Extract product prices and titles from e-commerce sites
  • Summarize web pages for research or content analysis
  • Gather news articles or blog posts for NLP tasks
  • Access geo-restricted content for market research
  • Prepare clean text for use in AI prompts
  • Build datasets for machine learning models

Core Benefits

  • Automated handling of proxies, browsers, and CAPTCHAs
  • Supports JavaScript-rendered content for modern websites
  • Fast and secure HTML parsing for clean data extraction
  • Geotargeting to access region-specific content
  • Integration with LLM platforms via MCP server
  • Scalable plans for different usage levels

Key Features

  • AI-powered web scraping
  • Rotating proxies for IP management
  • JavaScript rendering for dynamic content
  • HTML parsing for structured data extraction
  • LLM-powered tools for intelligent data processing
  • MCP server integration for LLM workflows

How to Use

  1. 1
    Provide a URL to the WebScraping.AI API
  2. 2
    The API handles proxies, browsers, and rendering automatically
  3. 3
    Receive the extracted HTML, text, or structured data as output

Pricing Plans

Personal

$29 per month
250,000 API Credits, 10 Concurrent Requests, Geotargeting

Plus

$99 per month
1,000,000 API Credits, 25 Concurrent Requests, Geotargeting

Startup

$249 per month
3,000,000 API Credits, 50 Concurrent Requests, Geotargeting

Frequently Asked Questions

Q.Can I try it for free?

A.Yes. Sign up for a free account to get 2000 API credits per month (with a maximum of 2 concurrent connections).

Q.What will happen if I change plan?

A.If you downgrade your plan, you'll stay on your current plan until the end of the billing period. If you upgrade, you'll be charged immediately and unused calls from the old plan will be added to your new plan quota and expire after 1 month.

Q.Can I get a refund?

A.Yes, you can get a full refund within 7 days if you've used less than 30% of your plan quota or a partial refund if you've used more.

Q.Can I use more than 2,000,000 requests?

A.Yes, we offer custom plans. Contact us at hello@WebScraping.AI with details about your usage.

Q.What is the MCP server integration?

A.Our open-source MCP server allows you to integrate WebScraping.AI directly with LLM platforms like Claude, GPT, Cursor, and Windsurf. Check out our GitHub repository for implementation details.

Pros & Cons (Reserved)

✓ Pros

  • Simple and powerful API
  • Handles browsers, proxies, and CAPTCHAs
  • JavaScript rendering for dynamic content
  • Fast and secure HTML parsing
  • AI-powered data extraction
  • Geotargeting available
  • Open-source MCP server integration

✗ Cons

  • Cost per request varies based on features used (JS rendering, residential proxies, AI extraction)
  • Free plan has limited API credits and concurrent connections

Alternatives

No alternatives found.