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Tutorial: Crawl4AI

This tutorial is AI-generated! To learn more, check outAI Codebase Knowledge Builder

Crawl4AIView Repo is a flexible Python library forasynchronously crawling websites andextracting structured content, specifically designed forAI use cases. You primarily interact with theAsyncWebCrawler, which acts as the main coordinator. You provide it with URLs and aCrawlerRunConfig detailinghow to crawl (e.g., using specific strategies for fetching, scraping, filtering, and extraction). It can handle single pages or multiple URLs concurrently using aBaseDispatcher, optionally crawl deeper by following links viaDeepCrawlStrategy, manageCacheMode, and applyRelevantContentFilter before finally returning aCrawlResult containing all the gathered data.

flowchart TD    A0["AsyncWebCrawler"]    A1["CrawlerRunConfig"]    A2["AsyncCrawlerStrategy"]    A3["ContentScrapingStrategy"]    A4["ExtractionStrategy"]    A5["CrawlResult"]    A6["BaseDispatcher"]    A7["DeepCrawlStrategy"]    A8["CacheContext / CacheMode"]    A9["RelevantContentFilter"]    A0 -- "Configured by" --> A1    A0 -- "Uses Fetching Strategy" --> A2    A0 -- "Uses Scraping Strategy" --> A3    A0 -- "Uses Extraction Strategy" --> A4    A0 -- "Produces" --> A5    A0 -- "Uses Dispatcher for `arun_m..." --> A6    A0 -- "Uses Caching Logic" --> A8    A6 -- "Calls Crawler's `arun`" --> A0    A1 -- "Specifies Deep Crawl Strategy" --> A7    A7 -- "Processes Links from" --> A5    A3 -- "Provides Cleaned HTML to" --> A9    A1 -- "Specifies Content Filter" --> A9

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