n8n-workflows/workflows/Http/1464_HTTP_Stickynote_Automation_Webhook.json

{
  "id": "GToc9QTzJY1h1w3y",
  "meta": {
    "instanceId": "workflow-cb5a9ced",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:46.342451",
    "updatedAt": "2025-09-29T07:07:46.342467",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "AI-Powered Research with Jina AI Deep Search",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
    "optimized"
  ],
  "nodes": [
    {
      "id": "trigger-3b59114e",
      "name": "Manual Trigger",
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        100,
        100
      ],
      "parameters": {}
    },
    {
      "id": "c76a7993-e7b1-426e-bcb4-9a18d9c72b83",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -820,
        -140
      ],
      "parameters": {
        "color": 6,
        "width": 740,
        "height": 760,
        "content": "\n# **🚀 Developed by Leonard van Hemert**  \n\nThank you for using **FREE: Open Deep Research 2.0**! 🎉  \n\nThis workflow was created to **democratize AI-powered research** and make advanced **automated knowledge discovery** available to **everyone**, without **API restrictions** or **cost barriers**.  \n\nIf you find this useful, feel free to **connect with me on LinkedIn** and stay updated on my latest AI & automation projects!  \n\n🔗 **Follow me on LinkedIn**: [Leonard van Hemert]({{ $env.WEBHOOK_URL }}  \n\nI truly appreciate the support from the **n8n community**, and I can’t wait to see how you use and improve this workflow! 🚀  \n\nHappy researching,  \n**Leonard van Hemert** 💡"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "5620b6b5-1485-43a8-9acd-3368147bd742",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -60,
        -140
      ],
      "parameters": {
        "width": 740,
        "height": 300,
        "content": "## 🚀 **FREE: Open Deep Research 2.0**  \nFully automated **AI-powered research workflow** using **Jina AI’s DeepSearch** to generate structured, fact-based reports—**no API key required!**  "
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "dbe1cc91-34b4-4e5b-b404-dd86f47d1ebf",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -60,
        180
      ],
      "parameters": {
        "width": 740,
        "height": 440,
        "content": "## 🧠 **How This Workflow Works**  \n\nThis workflow automates **deep research and report generation** using **Jina AI's DeepSearch API**, making **advanced knowledge discovery accessible for free**.  \n\n1️⃣ **User Input → AI Research**  \n- A user **enters a research query** via chat.  \n- The workflow **sends the query** to **Jina AI’s DeepSearch API** for **in-depth analysis**.  \n\n2️⃣ **AI-Powered Insights**  \n- DeepSearch **retrieves** and **analyzes** relevant information.  \n- The response includes **key insights, structured analysis, and sources**.  \n\n3️⃣ **Markdown Formatting & Cleanup**  \n- The response **passes through a Code Node** that extracts, cleans, and **formats** the AI-generated insights into **readable Markdown output**.  \n- URLs are properly formatted, footnotes are structured, and the report is easy to read.  \n\n4️⃣ **Final Output**  \n- The final, **well-structured research report** is ready for use, **fully automated and free of charge!**  "
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "42fd2f04-7d83-44c9-a41b-48860efbcf79",
      "name": "Jina AI DeepSearch Request",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        220,
        0
      ],
      "parameters": {
        "url": "{{ $env.WEBHOOK_URL }}",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"model\": \"jina-deepsearch-v1\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"You are an advanced AI researcher that provides precise, well-structured, and insightful reports based on deep analysis. Your responses are factual, concise, and highly relevant.\"\n    },\n    {\n      \"role\": \"assistant\",\n      \"content\": \"Hi, how can I help you?\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"Provide a deep and insightful analysis on: \\\"{{ $json.chatInput }}\\\". Ensure the response is well-structured, fact-based, and directly relevant to the topic, with no unnecessary information.\"\n    }\n  ],\n  \"stream\": true,\n  \"reasoning_effort\": \"low\"\n}",
        "sendBody": true,
        "specifyBody": "json"
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "1b7b3bbe-2068-4d3a-a962-134bbb6ee516",
      "name": "User Research Query Input",
      "type": "n8n-nodes-base.noOp",
      "position": [
        0,
        0
      ],
      "webhookId": "8a4b05af-cd63-4692-9924-e35aaed5f077",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1,
      "notes": "This chatTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "218cbfe2-78de-4b00-875a-51761ac9f5c7",
      "name": "Format & Clean AI Response",
      "type": "n8n-nodes-base.code",
      "position": [
        440,
        0
      ],
      "parameters": {
        "jsCode": "function extractAndFormatMarkdown(input) {\n    let extractedContent = [];\n\n    // Extract raw data string from n8n input\n    let rawData = input.first().json.data;\n\n    // Split into individual JSON strings\n    let jsonStrings = rawData.split(\"\\n\\ndata: \").map(s => s.replace(/^data: /, ''));\n\n    let lastContent = \"\";\n    \n    // Reverse loop to find the last \"content\" field\n    for (let i = jsonStrings.length - 1; i >= 0; i--) {\n        try {\n            let parsedChunk = JSON.parse(jsonStrings[i]);\n\n            if (parsedChunk.choices && parsedChunk.choices.length > 0) {\n                for (let j = parsedChunk.choices.length - 1; j >= 0; j--) {\n                    let choice = parsedChunk.choices[j];\n\n                    if (choice.delta && choice.delta.content) {\n                        lastContent = choice.delta.content.trim();\n                        break;\n                    }\n                }\n            }\n\n            if (lastContent) break; // Stop once the last content is found\n        } catch (error) {\n            console.error(\"Failed to parse JSON string:\", jsonStrings[i], error);\n        }\n    }\n\n    // Clean and format Markdown\n    lastContent = lastContent.replace(/\\[\\^(\\d+)\\]: (.*?)\\n/g, \"[$1]: $2\\n\");  // Format footnotes\n    lastContent = lastContent.replace(/\\[\\^(\\d+)\\]/g, \"[^$1]\");  // Inline footnotes\n    lastContent = lastContent.replace(/(https?:\\/\\/[^\\s]+)(?=[^]]*\\])/g, \"<$1>\");  // Format links\n\n    // Return formatted content as an array of objects (n8n expects this format)\n    return [{ text: lastContent.trim() }];\n}\n\n// Execute function and return formatted output\nreturn extractAndFormatMarkdown($input);\n"
      },
      "typeVersion": 2,
      "notes": "This code node performs automated tasks as part of the workflow."
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": null,
    "timezone": "UTC",
    "executionTimeout": 3600,
    "maxExecutions": 1000,
    "retryOnFail": true,
    "retryCount": 3,
    "retryDelay": 1000
  },
  "versionId": "e03d69b5-3304-4f28-b99f-970d6fd1225b",
  "connections": {
    "42fd2f04-7d83-44c9-a41b-48860efbcf79": {
      "main": [
        [
          {
            "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79-3dde4773",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79-4c0376e1",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79-91267ec4",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "error-handler-42fd2f04-7d83-44c9-a41b-48860efbcf79-d1b5f279",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "description": "Automated workflow: AI-Powered Research with Jina AI Deep Search. This workflow integrates 5 different services: stickyNote, httpRequest, code, stopAndError, chatTrigger. It contains 8 nodes and follows best practices for error handling and security.",
  "notes": "Excellent quality workflow: AI-Powered Research with Jina AI Deep Search. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}