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Scrape, clean, chunk, and index website content for full-text search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Website Scraper MCP Server" yet — see the docs or source repo.
Scrape all public documentation pages from https://example-docs.com, remove navigation and footer content, chunk the text semantically, build a searchable index, and return crawl stats, failed links, and an index summary.
A cleaned and searchable documentation index, crawl statistics, failed page list, and structured retrieval-ready data.
Scrape the blog and feature pages of these three competitor websites, deduplicate and clean the main content, chunk by topic, and write the results into Azure AI Search for keyword and semantic comparison.
A searchable competitor content index for analyzing positioning, messaging differences, and content coverage.
Crawl the company help center and FAQ pages, remove duplicates and irrelevant sections, split content by Q&A and paragraphs, create an Azure AI Search index, and suggest a field structure suitable for RAG.
A website knowledge index ready for retrieval-augmented generation, with recommended fields and chunking strategy.
Crawl websites, extract dynamic content, and save structured Markdown files.
Enable AI agents to crawl websites and run semantic search for RAG.
Crawl websites, build a vector knowledge base, and run semantic search.
Turn web pages into Markdown and analyze site intelligence.
Let AI agents search the web and extract webpage content.
Scrape pages and crawl websites automatically for structured content collection.