# Tavily (ChatGPT App) > Web search for AI - Type: app - Publisher: Tavily (official) - Categories: Development - Website: https://chatgpt.com/plugins/plugin_asdk_app_69f271663a288191ac98f46bed7cb032 - Open in ChatGPT: https://chatgpt.com/plugins/plugin_asdk_app_69f271663a288191ac98f46bed7cb032 - Version: 2.0.0 - Listed: 2026-10-04 ## About The Web Infrastructure Layer for AI Agents. A purpose-built web API for real-time search, scraping, crawling, and structured data retrieval. AI-native enterprises trust Tavily for data enrichment, research, RAG pipelines, and autonomous AI systems-ensuring fresh, accurate, and scalable intelligence. ## How to use 1. **Add it in ChatGPT** Open Tavily in ChatGPT's Plugin directory (button above), select + to add it and sign in if asked. 2. **Use it in a chat** Type @ in the composer and pick Tavily, or start your message with its name. ChatGPT may also suggest it when it fits what you ask. ## Skills - **tavily-best-practices**: Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents. - **tavily-crawl**: Crawl websites and extract content from multiple pages via the Tavily CLI. Use this skill when the user wants to crawl a site, download documentation, extract an entire docs section, bulk-extract pages, save a site as local markdown files, or says "crawl", "get all the pages", "download the docs", "extract everything under /docs", "bulk extract", or needs content from many pages on the same domain. Supports depth/breadth control, path filtering, semantic instructions, and saving each page as a local markdown file. - **tavily-extract**: Extract clean markdown or text content from specific URLs via the Tavily CLI. Use this skill when the user has one or more URLs and wants their content, says "extract", "grab the content from", "pull the text from", "get the page at", "read this webpage", or needs clean text from web pages. Handles JavaScript-rendered pages, returns LLM-optimized markdown, and supports query-focused chunking for targeted extraction. Can process up to 20 URLs in a single call. - **tavily-map**: Discover and list all URLs on a website without extracting content, via the Tavily CLI. Use this skill when the user wants to find a specific page on a large site, list all URLs, see the site structure, find where something is on a domain, or says "map the site", "find the URL for", "what pages are on", "list all pages", or "site structure". Faster than crawling — returns URLs only. Essential when you know the site but not the exact page. Combine with extract for targeted content retrieval. - **tavily-research**: Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead. - **tavily-search**: Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths. ## Example prompts - "Find key decision-makers at [company] and summarize their professional backgrounds." - "Research [company], including its products, competitors, and latest news." - "Find the latest documentation and code examples for integrating [API or library] into my project." ## Also available as - MCP server: [Tavily](https://chatgptplugins.directory/mcp/tavily.md) ## Related - [GitHub](https://chatgptplugins.directory/apps/github.md): Triage PRs, issues and CI across your repositories - [Figma](https://chatgptplugins.directory/apps/figma.md): Create designs, diagrams and FigJam boards and ship them to code - [MCP App Basics (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-mcp-app-basics.md): Eleven interactive widgets that each teach one MCP Apps API - [Cards Against AI (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-cards-against-ai.md): Card game driven by ChatGPT with a real-time synced widget - [Authenticated Server (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-authenticated.md): Demonstrates tools that require different levels of OAuth - [Shopping Cart (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-shopping-cart.md): Keeps cart state in sync across tool calls with widgetSessionId --- Source: https://chatgptplugins.directory/apps/tavily · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI.