tavily-crawl

Crawl websites and extract content from multiple pages using the Tavily CLI.

Updated May 3, 2026
One-click install
npx skills add https://github.com/LuisElPoti/launch-signal-dashboard --skill tavily-crawl-luiselpoti
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily-crawl
Source: https://github.com/LuisElPoti/launch-signal-dashboard/tree/main/.agents/skills/tavily-crawl
Command: npx skills add https://github.com/LuisElPoti/launch-signal-dashboard --skill tavily-crawl-luiselpoti

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily Crawl removes the manual effort of navigating a documentation site and copying information page by page by automatically crawling and extracting content across multiple URLs.

Core Features & Use Cases

  • Multi-page crawling: Crawl a domain or docs section with controlled depth and breadth to cover everything under a given path.
  • Path and domain filtering: Include or exclude pages using regex-based path and domain selection to target exactly the content you need.
  • Semantic-focused extraction: Use natural-language instructions to return relevant chunks per page for LLM-friendly context, or save full pages for offline reference.
  • Output modes: Save results as structured JSON for downstream processing or write each crawled page to a local markdown file.

Quick Start

Run tavily crawl for https://docs.example.com with instructions to extract authentication information and return 3 relevant chunks per source page as JSON.

Frequently Asked Questions about tavily-crawl

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract content from multiple web pages for bulk research?

To extract content from multiple web pages for bulk research, you can crawl a domain with configurable depth and limits to automatically gather information across multiple URLs. The extracted content can then be saved as structured JSON or local markdown files for offline reference.

What is the best way to download documentation sites as markdown for LLM context?

Downloading documentation sites as markdown for LLM context is best handled by bulk crawling a website and saving each extracted page to a local markdown file. You can also use semantic targeting to return only relevant chunks per page for more focused context.

Can I filter which specific URLs or paths get crawled during site extraction?

Yes, you can filter which specific URLs get crawled during site extraction by applying regex-based path and domain selection. This allows you to include or exclude specific pages to target exactly the content you need from the website.

Do I need the tvly tool to crawl websites and extract site content?

Yes, you need the tvly tool available to crawl websites and extract site content. The Skill operates by executing web crawling and content extraction through the Tavily CLI, which requires this specific tool dependency to function.

How does semantic-focused extraction work for web crawling?

Semantic-focused extraction works for web crawling by using natural-language instructions to return only relevant chunks per page. This provides LLM-friendly context instead of saving full pages, making the extracted content more targeted for downstream processing needs.