tavily-extract

Extract clean markdown or text content from URLs via Tavily.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/BEIRUX/agent-skills --skill tavily-extract-beirux
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily-extract
Source: https://github.com/BEIRUX/agent-skills/tree/main/tavily-extract
Command: npx skills add https://github.com/BEIRUX/agent-skills --skill tavily-extract-beirux

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill simplifies turning one or more URLs into clean, usable markdown or text content, saving time spent manually copying and formatting web content.

Core Features & Use Cases

  • URL extraction: fetches content from multiple URLs, including JavaScript-rendered pages, and outputs in LLM-optimized Markdown.
  • Targeted extraction: supports query-focused chunking to pull relevant sections for precise workflows.
  • Use Case: imagine needing the main article text from a set of sources to summarize an research brief or build a knowledge base.

Quick Start

Provide Tavily with one or more URLs and request the desired text content.

Frequently Asked Questions about tavily-extract

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

FAQPage Schema
How do I extract clean markdown from web URLs?

To extract clean markdown from web URLs, provide Tavily with one or more links to fetch the content and output it in an LLM-optimized markdown format.

Can I extract content from JavaScript-rendered pages?

Yes, you can extract content from JavaScript-rendered pages by providing the URLs to Tavily, which supports fetching and processing dynamically loaded web content.

How many URLs can I extract content from in a single request?

You can extract content from up to 20 URLs in a single request, allowing you to process multiple web pages and output their clean markdown text simultaneously.

What is the best way to pull specific sections from web pages?

The best way to pull specific sections from web pages is using query-focused chunking, which enables targeted extraction of relevant content sections for your precise workflows.

Does web content extraction support integration with search and crawl workflows?

Yes, web content extraction integrates with the Tavily CLI workflow, enabling you to combine URL extraction with search, map, crawl, and research operations in a unified pipeline.