Tavily Search & Extract Template
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Leverages the Tavily API to perform web searches and extract content from URLs.
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About This Workflow
Tavily API Search and Extract
This template demonstrates how to use the Tavily API for two primary functions: web searching and content extraction.
Search Endpoint
The Search Endpoint allows you to perform queries and retrieve relevant search results. It supports various parameters to refine your search, including depth, topic, number of results, and domain filtering.
Extract Endpoint
The Extract Endpoint enables you to fetch the raw content of one or more URLs. This is useful for scraping information from specific web pages.
Both endpoints are designed to be integrated into AI and LLM applications, providing a robust way to access and process real-time web data.
Key Features
- Perform web searches with customizable parameters.
- Extract raw content from specified URLs.
- Optimized for AI and LLM integration (RAG).
- Flexible response formatting and filtering options.
How To Use
- Obtain Tavily API Key: Sign up for a Tavily API key from their official website.
- Configure Environment Variables: Set
API_BASE_URLand yourTavily API Keyas environment variables in your n8n instance. - Execute Search: Use the
Tavily Searchnode to perform web searches. Adjust thequery,search_depth,max_results, and other parameters as needed. - Extract Content from Search Results: Optionally, use the
Tavily Extract Top Searchnode to extract content from the top search result's URL. - Direct URL Extraction: Use the
Tavily Extractnode to directly extract content from specific URLs by providing them in theurlsparameter.
Apps Used
Workflow JSON
{
"id": "e8cf53cc-b011-4c12-992a-92e46cee9609",
"name": "Tavily Search & Extract Template",
"nodes": 0,
"category": "AI / LLM",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: e8cf53cc-b011...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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