tavily-extract

Extract clean markdown or text from URLs using the Tavily CLI.

1|Updated May 10, 2026
One-click install
npx skills add https://github.com/a2ajinkya/phone-pi --skill tavily-extract-a2ajinkya
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily-extract
Source: https://github.com/a2ajinkya/phone-pi/tree/main/skills/tavily-extract
Command: npx skills add https://github.com/a2ajinkya/phone-pi --skill tavily-extract-a2ajinkya

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically extract clean markdown or text content from one or more URLs using the Tavily CLI, enabling reliable content ingestion for research and AI workflows.

Core Features & Use Cases

  • Extract content from one or more URLs via the Tavily CLI.
  • Handle JavaScript-rendered pages and return LLM-optimized markdown.
  • Support query-focused chunking and batch processing (up to 20 URLs per call).

Quick Start

Pass one or more URLs to tvly extract to obtain clean markdown text, optionally refining results with a query and chunks-per-source.

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 URLs for web content ingestion?

Yes, web content extraction handles JavaScript-rendered pages. The Tavily CLI supports optional advanced depth settings specifically designed to process and extract content from JS-heavy static web pages reliably.

Can I extract content from multiple URLs at once?

Yes, batch URL extraction supports up to 20 URLs per request. The Tavily CLI processes multiple links simultaneously, returning clean markdown or text output for automated research and content ingestion workflows.

Do I need the Tavily CLI installed to extract web page content?

Yes, Tavily CLI installation and authentication are required prerequisites for web content extraction. The tool operates as a command-line interface to fetch, process, and return clean markdown from target URLs.

What is the best way to extract specific information from web pages?

Query-based extraction allows targeting specific information from web pages. By passing a query parameter alongside URLs to the Tavily CLI, the extraction applies query-focused chunking to refine the returned markdown content.

Why does web content extraction fail on JavaScript-rendered pages?

Standard extraction often fails on JavaScript-rendered pages without advanced depth settings. Enabling this option in the Tavily CLI ensures the tool properly processes dynamic JS content during web content extraction.