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WaterCrawl

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Research & Data Analysis

Introduction

AI-friendly platform for web crawling and content extraction.

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WaterCrawl Product Information

WaterCrawl – Modern Web Crawling Framework

WaterCrawl is a comprehensive web crawling framework designed to transform any website into a structured knowledge base, enabling AI-friendly data extraction, analysis, and processing. It combines precise content extraction, AI-powered processing, and extensible plugin support to help users build data-driven applications, train LLMs, and analyze web content efficiently. The platform emphasizes transparency, open-source principles, and easy integration with existing stacks via SDKs.

Key Capabilities

  • Precise Content Extraction: Focus on main content with customizable selectors to filter out ads, footers, and noise.
  • AI-Powered Processing: Built-in OpenAI integration to automatically transform raw HTML into structured, meaningful data.
  • Extensible Plugin System: Create and integrate custom plugins to tailor functionality to specific use cases.
  • JavaScript Rendering: Render dynamic content with configurable wait times and render options; capture results as PDF or JPG screenshots.
  • Open Source Freedom: Transparent, collaborative architecture encouraging customization and contribution.
  • Playground Interface: Interactive environment to test selectors and extractors before deployment.
  • SDKs and Integration: Available SDKs for Python, PHP, Node.js, Rust, and Go to simplify integration with various tech stacks.

How it Works

  1. Define crawling scope with advanced controls (depth, domains, paths).
  2. Use precise selectors to extract desired content from target web pages.
  3. Leverage AI-powered processing to convert extracted content into structured data.
  4. Extend functionality through plugins and render dynamic content when needed.
  5. Deploy in your stack via SDKs and integrate into your data pipelines or LLM training workflows.

Core Features

  • Precise content extraction with customizable selectors
  • AI-powered processing to structure data automatically
  • Extensible plugin system for custom functionality
  • JavaScript rendering for dynamic pages with configurable wait times
  • Screenshot capture in PDF or JPG formats
  • Open-source with transparent development and community contribution
  • Interactive playground to test selectors and extractors
  • Multi-language SDKs (Python, PHP, Node.js, Rust, Go) for easy integration

How to Get Started

  • Explore the Playground to test selectors and extractors.
  • Use the SDKs to integrate WaterCrawl into your project’s data pipeline.
  • Configure crawling scope, selectors, and AI processing to transform web content into structured data ready for LLM training or analysis.

Safety and Legal Considerations

  • Respect copyright and terms of service of target websites.
  • Use for legitimate data extraction, content analysis, and training data generation.

Quick Reference

  • Transform any website into a structured knowledge base.
  • AI-powered content processing with OpenAI integration.
  • Open source with customizable plugins and SDKs.