tavily

Automate web search and extract URL content to structured text.

Updated Jan 31, 2026
One-click install
npx skills add https://github.com/zyj18860969891-byte/openclaw-railway --skill tavily-zyj18860969891-byte
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/zyj18860969891-byte/openclaw-railway/tree/main/extensions/tavily/skills/tavily
Command: npx skills add https://github.com/zyj18860969891-byte/openclaw-railway --skill tavily-zyj18860969891-byte

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily reduces the time and effort required to perform comprehensive web research by providing integrated search, advanced query options, and reliable content extraction from URLs.

Core Features & Use Cases

  • Web Search: quick lookups across the web with deterministic tooling.
  • Tavily Search: depth-controlled queries for precise results including domain/time filters.
  • Tavily Extract: extract content from URLs to structured text or markdown.

Use cases include academic research, competitive intelligence, and rapid literature reviews.

Quick Start

Search for a topic with Tavily and extract the top relevant content from a URL.

Frequently Asked Questions about tavily

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

FAQPage Schema
How do I automate web research and content extraction from specific domains?

Automate web research by using modular search tools to query topics and extract structured text from targeted URLs. Depth control and domain filters retrieve precise content for academic research or competitive intelligence.

Can I extract structured text or markdown directly from a URL?

Extract structured text or markdown from a URL using dedicated extraction tools. This converts web page content into clean formats, accelerating literature reviews and due diligence by isolating relevant information.

What is the best way to filter web search results by time range and search depth?

Filter web search results by configuring time range and search depth parameters. Depth-controlled queries ensure precise information gathering, allowing you to tailor results for either quick lookups or comprehensive analysis.

Does this web search approach work for academic research and due diligence?

This approach works for academic research and due diligence by providing integrated web search and reliable content extraction. It reduces the time required for comprehensive information gathering across targeted domains.

How do I control extraction depth when pulling content from web pages?

Control extraction depth by setting the extract_depth parameter when pulling content from web pages. This allows you to tailor the output detail level, ensuring you gather the exact information needed for market analysis.

Why use depth-controlled queries instead of standard web search lookups?

Use depth-controlled queries instead of standard lookups when you need precise results with domain and time filters. This tailored approach ensures comprehensive data extraction for rapid literature reviews and competitive intelligence.