AI Crawler is an experimental AI-powered web crawling and data extraction tool that uses natural language prompts to guide the discovery and retrieval of relevant information across websites. Unlike traditional web scrapers that rely on static selectors and manual scripting, it uses AI to dynamically identify and prioritize pages based on user intent, making it more flexible and resilient to changes in website structure. Users can define their data requirements in plain English, and the system will interpret those instructions to crawl a domain and extract structured data. The tool supports output formats such as JSON and Markdown, and it can generate or accept schemas to ensure that extracted data is structured according to application needs. It is designed as a low-code solution, reducing the complexity of building and maintaining custom scraping pipelines.

Features

  • Natural language driven web crawling and extraction
  • AI-assisted discovery of relevant pages within a domain
  • Structured output in JSON or Markdown formats
  • Schema-based parsing for customized data extraction
  • Low-code interface for simplified data pipelines
  • Integration with automation and analytics workflows

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Additional Project Details

Registered

2026-03-18