Workflow: HTTP Stickynote Automation

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{
    "id": "QqbYH25we4JDZrZD",
    "meta": {
        "instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef"
    },
    "name": "\ud83d\udd0d\ud83d\udee0\ufe0f 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,
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            ],
            "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\n\ud83d\udcdc Why Use Tavily API for Data Enrichment?\n\nhttps:\/\/docs.tavily.com\/docs\/use-cases\/data-enrichment\n\n\ud83d\udca1 Why Use Tavily API for Company Research?\n\nhttps:\/\/docs.tavily.com\/docs\/use-cases\/company-research\n\n\ud83d\udd0d 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": 4.20000000000000017763568394002504646778106689453125
        },
        {
            "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": 4.20000000000000017763568394002504646778106689453125
        },
        {
            "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": 3.399999999999999911182158029987476766109466552734375
        },
        {
            "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": 4.20000000000000017763568394002504646778106689453125
        },
        {
            "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": 3.399999999999999911182158029987476766109466552734375
        },
        {
            "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": 4.20000000000000017763568394002504646778106689453125
        },
        {
            "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": 1.100000000000000088817841970012523233890533447265625
        },
        {
            "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": [
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                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": 3.399999999999999911182158029987476766109466552734375
        },
        {
            "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": 1.100000000000000088817841970012523233890533447265625
        },
        {
            "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
                    }
                ]
            ]
        }
    }
}
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