Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export

Summary

<p>In this tutorial, we build a complete Crawlee for Python workflow from setup to AI-ready output. We generate a local demo website, then crawl it with BeautifulSoupCrawler, ParselCrawler, and PlaywrightCrawler. We extract titles, metadata, product fields, and JavaScript-rendered cards, and capture full-page screenshots. We then normalize the data, build a link graph, and export JSON, CSV, and RAG-ready JSONL chunks.</p> <p>The post <a href="https://www.marktechpost.com/2026/06/20/crawlee-for-python-build-a-web-crawling-pipeline-with-robots-handling-link-graphs-and-rag-chunk-export/">Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>