AdaptiveCrawler

Query-directed crawler with statistical or embedding strategies, stopping thresholds, persistent knowledge export, and custom-strategy support.

Parent repository GitHub

Type: module / crawling workflow
Repository: unclecode/crawl4ai
Readiness: Usable for development and self-hosted workflows, but deployments should use a current security release and receive careful hardening, resource controls, and legal review.
Keywords: 5

Location

Repository path

docs/examples/adaptive_crawling/README.md

Invocation

Run examples such as `python basic_usage.py` or construct `AdaptiveCrawler(crawler, config)`.

Setup

Installation / activation

Select a strategy and call its digest workflow from Python.

Keywords

adaptive crawlingstatisticalembeddingsknowledge basestrategy

Repository context

unclecode/crawl4ai

Apache-2.0 Python web-crawling and scraping framework that produces LLM-ready Markdown and structured data through browser automation, adaptive and deep crawling, CLI, SDK, Docker API, and a documented MCP server that exposes crawl, HTML, screenshot, PDF, JavaScript, and library-context tools directly to Claude Code.

web crawlingweb scrapingbrowser automationdata extractionRAG ingestionagent toolingself-hosted infrastructureweb-to-Markdown

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