{ "id": "QqbYH25we4JDZrZD", "meta": { "instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef" }, "name": "šŸ”šŸ› ļø Tavily Search & Extract - Template", "tags": [], "nodes": [ { "id": "e029204b-2e05-4262-b464-7c1b3a995f91", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -780, -940 ], "parameters": { "color": 4, "width": 520, "height": 940, "content": "## Tavily API Search Endpoint\n\n**Base URL**: `https://api.tavily.com/search`\n**Method**: POST\n\n### Required Parameters\n- `query`: The search query string\n- `api_key`: Your Tavily API key\n\n### Optional Parameters\n- `search_depth`: \"basic\" or \"advanced\" (default: \"basic\")\n- `topic`: \"general\" or \"news\" (default: \"general\") \n- `max_results`: Maximum number of results to return (default: 5)\n- `include_images`: Include query-related images (default: false)\n- `include_answer`: Include AI-generated answer (default: false)\n- `include_raw_content`: Include parsed HTML content (default: false)\n- `include_domains`: List of domains to include\n- `exclude_domains`: List of domains to exclude\n- `time_range`: Filter by time range (\"day\", \"week\", \"month\", \"year\")\n- `days`: Number of days back for news results (default: 3)\n\n### Example Request\n```json\n{\n \"api_key\": \"tvly-YOUR_API_KEY\",\n \"query\": \"Who is Leo Messi?\",\n \"search_depth\": \"basic\",\n \"include_answer\": false,\n \"include_images\": true,\n \"max_results\": 5\n}\n```\n" }, "typeVersion": 1 }, { "id": "6c47edec-6c6e-460d-b098-f9a26caa5f8e", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -220, -940 ], "parameters": { "color": 6, "width": 640, "height": 720, "content": "## Tavily API Extract Endpoint \n\n**Base URL**: `https://api.tavily.com/extract`\n**Method**: POST\n\n### Required Parameters\n- `urls`: Single URL string or array of URLs\n- `api_key`: Your Tavily API key\n\n### Optional Parameters\n- `include_images`: Include extracted images (default: false)\n\n### Example Request\n```json\n{\n \"api_key\": \"tvly-YOUR_API_KEY\", \n \"urls\": [\n \"https://en.wikipedia.org/wiki/Artificial_intelligence\",\n \"https://en.wikipedia.org/wiki/Machine_learning\"\n ]\n}\n```" }, "typeVersion": 1 }, { "id": "cacae1d1-c9ec-4c2f-ba5d-f782257697cc", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -1240, -940 ], "parameters": { "color": 3, "width": 420, "height": 540, "content": "## Tavily API Documentation\n\nThe Tavily REST API provides seamless access to Tavily Search, a powerful search engine for LLM agents, and Tavily Extract, an advanced web scraping solution optimized for LLMs.\n\nhttps://docs.tavily.com/docs/rest-api/examples\n\nhttps://docs.tavily.com/docs/rest-api/api-reference#parameters\n\nThe Tavily API provides two main endpoints for search and data extraction.\n\nThe API returns JSON responses containing:\n\n- Search results with titles, URLs, and content\n- Extracted raw content from specified URLs\n- Response time metrics\n- Any error messages for failed requests\n\n\n**Note**: Error handling should check for failed results in the response before processing.\n" }, "typeVersion": 1 }, { "id": "16e977f4-e72d-474c-a04b-3f3ad51cc322", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -1240, -360 ], "parameters": { "width": 420, "height": 360, "content": "## Tavily Use Cases\n\nšŸ“œ Why Use Tavily API for Data Enrichment?\n\nhttps://docs.tavily.com/docs/use-cases/data-enrichment\n\nšŸ’” Why Use Tavily API for Company Research?\n\nhttps://docs.tavily.com/docs/use-cases/company-research\n\nšŸ” GPT Researcher\n\nhttps://docs.tavily.com/docs/gpt-researcher/introduction" }, "typeVersion": 1 }, { "id": "7e4d0b3c-761d-42b9-bbbe-6ceb366fdc6f", "name": "Tavily Search", "type": "n8n-nodes-base.httpRequest", "position": [ -580, -180 ], "parameters": { "url": "https://api.tavily.com/search", "body": "={\n \"api_key\": \"tvly-YOUR_API_KEY\",\n \"query\": \"What is n8n?\",\n \"search_depth\": \"basic\",\n \"include_answer\": false,\n \"include_images\": true,\n \"include_image_descriptions\": true,\n \"include_raw_content\": false,\n \"max_results\": 5,\n \"include_domains\": [],\n \"exclude_domains\": []\n}", "method": "POST", "options": {}, "sendBody": true, "contentType": "raw", "rawContentType": "application/json" }, "typeVersion": 4.2 }, { "id": "47c0bfcf-a187-4b15-b208-2458c934d5f7", "name": "Tavily Extract", "type": "n8n-nodes-base.httpRequest", "position": [ 40, -400 ], "parameters": { "url": "https://api.tavily.com/extract", "body": "={\n \"api_key\": \"tvly-YOUR_API_KEY\",\n \"urls\": [\n \"https://en.wikipedia.org/wiki/Artificial_intelligence\"\n ]\n}", "method": "POST", "options": {}, "sendBody": true, "contentType": "raw", "rawContentType": "application/json" }, "typeVersion": 4.2 }, { "id": "47791d39-087b-4104-aa0d-ef98deee945c", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -1940, -1020 ], "parameters": { "color": 7, "width": 660, "height": 1020, "content": "## Tavily API Overview\nhttps://docs.tavily.com/docs/welcome\n\nThe Tavily API provides a specialized search engine built specifically for AI agents and LLM applications, offering two main endpoints:\n\n## Search Endpoint\n\nThe search endpoint enables intelligent web searching with:\n\n**Key Features**\n- Query-based search with customizable depth (\"basic\" or \"advanced\")\n- Topic filtering for general or news content\n- Control over result quantity and content type\n- Domain inclusion/exclusion capabilities\n- Time range filtering and news date restrictions\n\n## Extract Endpoint\n\nThe extract endpoint focuses on content retrieval:\n\n**Key Features**\n- Single or batch URL processing\n- Raw content extraction\n- Optional image extraction\n- Structured response format\n\n## Implementation Benefits\n\n**For AI Integration**\n- Optimized for RAG (Retrieval Augmented Generation)\n- Single API call handles searching, scraping and filtering\n- Customizable response formats\n- Built-in content relevance scoring\n\n**Technical Advantages**\n- JSON response format\n- Error handling for failed requests\n- Response time metrics\n- Flexible content filtering options\n\n\nThis API is designed to simplify the integration of real-time web data into AI applications while ensuring high-quality, relevant results through intelligent processing and filtering." }, "typeVersion": 1 }, { "id": "76b291bc-8c34-44f1-b366-09c9f51089e2", "name": "Get Top Result", "type": "n8n-nodes-base.set", "position": [ -700, 140 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "a73e848c-f7e7-4b3a-ae99-930c577b47be", "name": "results", "type": "object", "value": "={{ $json.results.first() }}" } ] } }, "typeVersion": 3.4 }, { "id": "4b098e57-eff2-4e70-9429-23b5c3d936c2", "name": "Tavily Extract Top Search", "type": "n8n-nodes-base.httpRequest", "position": [ -480, 140 ], "parameters": { "url": "https://api.tavily.com/extract", "body": "={\n \"api_key\": \"{{ $('Tavily API Key').item.json.api_key }}\",\n \"urls\": [\n \"{{ $json.results.url }}\"\n ]\n}", "method": "POST", "options": {}, "sendBody": true, "contentType": "raw", "rawContentType": "application/json" }, "typeVersion": 4.2 }, { "id": "f593e164-1c9d-46e6-a619-39fe621c829f", "name": "Filter > 90%", "type": "n8n-nodes-base.set", "position": [ -920, 140 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "8fd0cfc4-7adc-45f9-a278-d217e362ebfb", "name": "results", "type": "array", "value": "={{ $json.results.filter(item => item.score > 0.80) }}" } ] }, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "fadd100c-0335-42c2-9c3d-48e6d17eb2f9", "name": "Tavily Search Topic", "type": "n8n-nodes-base.httpRequest", "position": [ -1140, 140 ], "parameters": { "url": "https://api.tavily.com/search", "body": "={\n \"api_key\": \"{{ $json.api_key }}\",\n \"query\": \"{{ $('Provide search topic via Chat window').item.json.chatInput }}\",\n \"search_depth\": \"basic\",\n \"include_answer\": false,\n \"include_images\": true,\n \"include_image_descriptions\": true,\n \"include_raw_content\": false,\n \"max_results\": 5,\n \"include_domains\": [],\n \"exclude_domains\": []\n}", "method": "POST", "options": {}, "sendBody": true, "contentType": "raw", "rawContentType": "application/json" }, "typeVersion": 4.2 }, { "id": "1bc5a21f-0f96-4951-9c88-0bec00b9c586", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ -240, 300 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "id": "jEMSvKmtYfzAkhe6", "name": "OpenAi account" } }, "typeVersion": 1.1 }, { "id": "994bb3ee-598b-4d3f-bcfc-16c9cca36657", "name": "Summarize Web Page Content", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -260, 140 ], "parameters": { "text": "=Summarize this web content and provide in Markdown format: {{ $json.results[0].raw_content }}", "promptType": "define" }, "typeVersion": 1.5 }, { "id": "d5520da7-f6bc-470e-ab96-e04097041f08", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ -1680, 40 ], "parameters": { "color": 5, "width": 1800, "height": 400, "content": "## Tavily Search and Extract with AI Summarization Example" }, "typeVersion": 1 }, { "id": "9bd6c18e-aabf-4719-b9c4-ac91b36891a1", "name": "Tavily API Key", "type": "n8n-nodes-base.set", "position": [ -1360, 140 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "035660a9-bb58-4ecb-bad3-7f4d017fa69f", "name": "api_key", "type": "string", "value": "tvly-YOUR_API_KEY" } ] } }, "typeVersion": 3.4 }, { "id": "41f36ad7-7a2b-4732-89ec-fe6500768631", "name": "Provide search topic via Chat window", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ -1580, 140 ], "webhookId": "6b8f316b-776e-429a-8699-55f230c3a168", "parameters": { "options": {} }, "typeVersion": 1.1 }, { "id": "0213756a-35c4-46a8-9b79-2e8a81852177", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ -1420, 320 ], "parameters": { "color": 7, "height": 80, "content": "### Tavily API Key\nhttps://app.tavily.com/home" }, "typeVersion": 1 } ], "active": false, "pinData": {}, "settings": { "executionOrder": "v1" }, "versionId": "e1f22fbb-9663-405c-b7b1-7e8b2d54ad0f", "connections": { "Filter > 90%": { "main": [ [ { "node": "Get Top Result", "type": "main", "index": 0 } ] ] }, "Get Top Result": { "main": [ [ { "node": "Tavily Extract Top Search", "type": "main", "index": 0 } ] ] }, "Tavily API Key": { "main": [ [ { "node": "Tavily Search Topic", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "Summarize Web Page Content", "type": "ai_languageModel", "index": 0 } ] ] }, "Tavily Search Topic": { "main": [ [ { "node": "Filter > 90%", "type": "main", "index": 0 } ] ] }, "Tavily Extract Top Search": { "main": [ [ { "node": "Summarize Web Page Content", "type": "main", "index": 0 } ] ] }, "Provide search topic via Chat window": { "main": [ [ { "node": "Tavily API Key", "type": "main", "index": 0 } ] ] } } }