webcrawler-deep-crawl

Featured

Deep-crawl any website from start URLs, return per-page LLM-ready text/markdown/HTML plus metadata (title, description, author, language, canonical URL, OG) and in-scope outbound links. Use when user mentions deep crawl website, recursive crawl, crawl a whole site, scrape entire website, scrape docs site, scrape documentation, scrape knowledge base, scrape blog, build RAG corpus, build vector database from website, knowledge base for chatbot, GPT knowledge files, llms.txt, sitemap crawl, BFS crawl, scrape with depth or page limit, include exclude URL globs, remove boilerplate, strip navigation header footer, website to markdown, website to text, multi-page extraction, bulk page scraping, clean markdown from URL, docs site to markdown corpus, site to clean corpus. Also applies to building RAG pipelines, indexing a customer site, syncing docs into a vector store, generating training corpora from any docs hub, or expanding a single start URL into a clean corpus of every reachable in-scope page.

AI & Automation 4,837 stars 231 forks Updated 5 days ago MIT

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Skill Content

# Website Deep Crawl > Input: one or more start URLs (+ optional scope, depth, page-count, globs, removal selectors). Output: per-page records `{url, crawl, metadata, text, markdown, html, outboundLinks}` for every page reached within scope. ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective From a small set of start URLs, breadth-first crawl every reachable in-scope page, strip boilerplate (navigation, header, footer, cookie banners, etc.), and emit per-page LLM-ready content (text / markdown / HTML) plus structured metadata — suitable for feeding RAG pipelines, vector databases, or chatbot knowledge bases. ## Prerequisites - One or more start URLs are provided by the caller. - Target pages are publicly reachable, OR the running browser is already logged in for any pages behind authentication. - A working directory is available for writing per-page JSON records and the crawl state file. ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in the current session → skip this step. Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry. ### 2. Login Verification (when prerequisites include login requirement) If login status for the target site has been confirmed in the current session → skip this step. Otherwise: open the target site and observe the page login status: - Log...

Details

Author
browser-act
Repository
browser-act/skills
Created
5 months ago
Last Updated
5 days ago
Language
Python
License
MIT

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