tavily-extract

by tavily-ai

Extract clean markdown or text from up to 20 URLs, with JavaScript rendering and query-focused chunking support. Handles JavaScript-rendered pages with configurable extraction depth (basic for simple pages, advanced for dynamic SPAs and tables) Supports query-focused extraction to return only relevant content chunks instead of full pages Returns LLM-optimized markdown by default, with options for plain text format and structured JSON output Processes up to 20 URLs in a single call;... npx skills add https://github.com/tavily-ai/skills --skill tavily-extract Download ZIPGitHub399

tavily extract

Extract clean markdown or text content from one or more URLs.

When to use

• You have a specific URL and want its content

• You need text from JavaScript-rendered pages

• Step 2 in the workflow: search → extract → map → crawl → research

Options

Option Description --query Rerank chunks by relevance to this query --chunks-per-source Chunks per URL (1-5, requires --query) --extract-depth basic (default) or advanced (for JS pages) --format markdown (default) or text --include-images Include image URLs --timeout Max wait time (1-60 seconds) -o, --output Save output to file --json Structured JSON output

Extract depth

Depth When to use basic Simple pages, fast — try this first advanced JS-rendered SPAs, dynamic content, tables

Tips

• Max 20 URLs per request — batch larger lists into multiple calls.

• Use --query + --chunks-per-source to get only relevant content instead of full pages.

• Try basic first, fall back to advanced if content is missing.

• Set --timeout for slow pages (up to 60s).

• If search results already contain the content you need (via --include-raw-content), skip the extract step.

See also

• tavily-search — find pages when you don't have a URL

• tavily-crawl — extract content from many pages on a site