{
  "workflow": {
    "id": 3561,
    "name": "Automate hyper-personalized outreach at scale with Bright Data and LLMs",
    "views": 2180,
    "recentViews": 0,
    "totalViews": 2180,
    "createdAt": "2025-04-15T10:47:56.856Z",
    "description": "# LinkedIn Enrichment & Ice Breaker Generator\n\n**For SDRs, growth marketers, and founders looking to scale personalized outreach.**  \nThis workflow enriches LinkedIn profile data using Bright Data and generates AI-powered ice breakers using Claude (Anthropic).  \nIt automates research and messaging to help you connect smarter and faster — without manual effort.\n\n---\n\n## 🧩 How It Works\n\nThis workflow combines Google Sheets, [Brigt Data](Bright Data), and Claude (Anthropic) to fully automate your outreach research:\n\n1. **Trigger**  \n   - Manually trigger the workflow or run it on a schedule (via `Manual Trigger` or `Schedule Trigger`).\n\n2. **Read Input Sheet**  \n   - Fetches rows from a Google Sheet. Each row must contain at least a `Linkedin_URL_Person` and `row_number`.\n\n3. **Prepare Input**  \n   - Formats each row for Bright Data’s API using `Set` and `SplitInBatches` nodes.\n\n4. **Enrich Profile (Bright Data API)**  \n   - Sends LinkedIn URLs to Bright Data’s Dataset API via `HTTP Request`.\n   - Waits for snapshot to be ready using polling logic with `Wait`, `If`, and `Snapshot Progress` nodes.\n   - Once ready, retrieves the enriched profile data including:\n     - Name\n     - City\n     - Current company\n     - About section\n     - Recent posts\n\n5. **Update Sheet with Profile Data**  \n   - Writes the retrieved enrichment data into the corresponding row in Google Sheets (via row_number).\n\n6. **Generate Ice Breaker (Claude AI)**  \n   - Sends enriched profile content to Claude (Anthropic) using a custom prompt.\n   - Focuses on recent posts for crafting relevant, respectful, 1–4-line ice breakers.\n\n7. **Update Sheet with Ice Breaker**  \n   - Writes the generated ice breaker to the `Ice Breaker 1` column in the original row.\n\n---\n\n## ✅ Requirements\n\nTo use this workflow, you must have the following:\n\n### Google Sheets\n- A Google account\n- A Google Sheet with at least one sheet/tab containing:\n  - Column: `Linkedin_URL_Person`\n  - Column: `row_number` (used for mapping input and output rows)\n\n### Bright Data\n- A Bright Data account with access to the **Dataset API**\n- An active dataset that accepts LinkedIn URLs\n- API key with Dataset API access\n\n### Anthropic Claude\n- An Anthropic API key (for Claude 3.5 Haiku or other Claude models)\n\n### n8n Environment\n- Access to `HTTP Request`, `Set`, `Wait`, `SplitInBatches`, `If`, and `Google Sheets` nodes\n- Access to Claude integration (via LangChain nodes: `@n8n/n8n-nodes-langchain`)\n- Credential manager properly configured with:\n  - Google Sheets OAuth2 credentials\n  - Bright Data API key\n  - Anthropic API key\n\n---\n\n## ⚙️ Setup Instructions\n\n### Step 1: Copy the Google Sheets Template\n\n> 📄 [Click here to make a copy](https://docs.google.com/spreadsheets/d/1g8Dum0tfZ1nQdd3b6sLhZX2aMu6FzwoVvD0EAXMpPx8/edit?usp=sharing)\n\n- Fill the `Linkedin_URL_Person` column with LinkedIn profile URLs you want to enrich\n- Do **not** modify headers or add filters to the sheet\n- Leave other columns (name, city, about, posts, ice breaker) blank — the workflow fills them\n\n---\n\n### Step 2: Connect Your Accounts in n8n\n\n1. **Google Sheets**: Create a credential under *Google Sheets OAuth2 API*\n2. **Bright Data**: Add your API key as a credential under *HTTP Request* (Authorization header)\n3. **Anthropic**: Create a credential for *Anthropic API* with your Claude key\n\n---\n\n### Step 3: Import and Configure the Workflow\n\n1. Import the workflow into your n8n instance.\n2. In each Google Sheets node:\n   - Select the copied Google Sheet\n   - Select the correct tab (usually `input` or `Sheet1`)\n3. In the HTTP Request node to Bright Data:\n   - Paste your Bright Data dataset ID\n4. In the Claude prompt node:\n   - Optionally adjust the tone and length of the ice breaker prompt\n\n---\n\n### Step 4: Run the Workflow\n\n- Test it using the `Manual Trigger` node\n- For daily automation, enable the `Schedule Trigger` and configure interval settings\n- Watch your Google Sheet populate with enriched data and tailored ice breakers\n\n---\n\n## 🧠 Tips & Best Practices\n\n- **Bright Data Delay**: Snapshots may take time. The workflow polls the status until complete.\n- **Retry Protection**: `If` and `Wait` nodes avoid infinite loops by checking snapshot status.\n- **Mapping via row_number**: Critical to ensure data is updated in the right row.\n- **Prompt Engineering**: You can fine-tune Claude's behavior by editing the text prompt.\n\n---\n\n## 🧾 Output Example\n\nOnce complete, each row in your Google Sheet will contain:\n\n| Linkedin_URL_Person | Name | City | Company | Recent Post | Ice Breaker |\n|---------------------|------|------|---------|-------------|--------------|\n| [linkedin.com/...](#) | Jane Doe | NYC | ACME Corp | “Why AI should replace meetings” | \"Loved your post about AI and meetings — finally someone said it!\" |\n\n---\n\n## 💬 Support & Feedback\n\nQuestions? Want to tweak the prompt or expand the enrichment?\n\n📧 **Email**: Yaron@nofluff.online  \n📺 **YouTube**: [@YaronBeen](https://www.youtube.com/@YaronBeen/videos)  \n🔗 **LinkedIn**: [linkedin.com/in/yaronbeen](https://www.linkedin.com/in/yaronbeen)\n\n---\n\n",
    "workflow": {
      "meta": {
        "instanceId": "5aaf4236c70e34e423fbdb2c7b754d19253a933bb1476d548f75848a01e473cf",
        "templateId": "3561"
      },
      "nodes": [
        {
          "id": "f3641141-a880-4400-bad7-909558848c20",
          "name": "When clicking \"Test workflow\"",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            2260,
            820
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "7b1ddbd1-f918-4ef9-a05e-2c02e6de75df",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            380,
            580
          ],
          "parameters": {
            "color": 4,
            "width": 1289,
            "height": 2698,
            "content": "=======================================\n         WORKFLOW DETAILS & GUIDELINES\n=======================================\nName:\n    LinkedIn Enrichment & Ice Breaker Generator\n\nPurpose:\n    Automate the process of enriching LinkedIn profiles using Bright Data,\n    generate personalized ice breakers with an LLM, and update Google Sheets.\n\nTools Needed:\n    - n8n Nodes:\n        • Manual Trigger or Schedule Trigger\n        • Set\n        • SplitInBatches\n        • HTTP Request\n        • If\n        • Wait\n        • Google Sheets\n        • LangChain LLM (Claude via Anthropic)\n    - External Services:\n        • Bright Data (Dataset API)\n        • Anthropic Claude (Haiku)\n        • Google Sheets API\n\nAPI Keys & Authentication Required:\n    • Bright Data API Key\n        → Used in HTTP Request headers as:\n           `Authorization: Bearer YOUR_TOKEN_HERE`\n    • Google Sheets OAuth2 Credentials\n        → Connects n8n to your Google account for reading/writing to Sheets.\n    • Anthropic API Key\n        → Used for generating ice breakers via Claude models.\n        → Must be set in the Anthropic credential section in n8n.\n\nGeneral Guidelines:\n    • Use descriptive and consistent naming for all nodes.\n    • Add retry limits to polling loops to avoid infinite cycles.\n    • Ensure each LinkedIn URL maps to a unique `row_number`.\n    • Obfuscate any keys before sharing the workflow publicly.\n\nThings to be Aware Of:\n    • Bright Data may require some delay (via Wait node) before snapshot is ready.\n    • Retry logic should not exceed API rate limits.\n    • If snapshot fails or times out, ensure fallback logging is in place.\n    • Claude model IDs and prompt formats may change — validate before updates.\n\nAdditional Notes:\n    • Make a copy of the Google Sheet template before use.\n    • Replace placeholders in `Authorization` headers and credentials section.\n    • Use test data first to avoid exhausting API quotas during setup.\n\n=======================================\n\nThis workflow allows you to enrich LinkedIn profiles using Bright Data,\ngenerate AI-written ice breakers with Claude, and log everything into Google Sheets.\n"
          },
          "typeVersion": 1
        },
        {
          "id": "215cd515-149b-41b1-adbe-fa203cbc9b5d",
          "name": "Get rows to enrich",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            2540,
            820
          ],
          "parameters": {
            "options": {},
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "gid=0",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1g8Dum0tfZ1nQdd3b6sLhZX2aMu6FzwoVvD0EAXMpPx8/edit#gid=0",
              "cachedResultName": "input"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "1g8Dum0tfZ1nQdd3b6sLhZX2aMu6FzwoVvD0EAXMpPx8",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1g8Dum0tfZ1nQdd3b6sLhZX2aMu6FzwoVvD0EAXMpPx8/edit?usp=drivesdk",
              "cachedResultName": "NoFluff-N8N-Sheet-Template-Hyper Personalization"
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.3
        },
        {
          "id": "f140e851-6409-4169-b5af-28ab6f16d99c",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            3220,
            680
          ],
          "parameters": {
            "width": 1420,
            "height": 460,
            "content": "Personal Data"
          },
          "typeVersion": 1
        },
        {
          "id": "8878ae56-0772-498a-b153-b628222f6688",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            2220,
            680
          ],
          "parameters": {
            "width": 266.12865147126786,
            "height": 627.5654650079845,
            "content": "Run the workflow manually or activate it to run on schedule\n"
          },
          "typeVersion": 1
        },
        {
          "id": "df3f1f83-1092-40fe-bc5d-301e9a118601",
          "name": "Sticky Note7",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            2500,
            460
          ],
          "parameters": {
            "width": 194.6864335083109,
            "height": 525.6560478822986,
            "content": "In this workflow, I use Google Sheets to store the results. \n\nYou can use my template to get started faster:\n\n1. [Click on this link to get the template](https://docs.google.com/spreadsheets/d/1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4/edit?usp=sharing)\n2. Make a copy of the Sheets\n3. Add the URL to this node and the node **\"Google Sheets - Update Row with data\"**\n\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "1c294196-206a-4add-8d47-8558ba99515d",
          "name": "Sticky Note9",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            380,
            240
          ],
          "parameters": {
            "color": 4,
            "width": 1280,
            "height": 320,
            "content": "=======================================\n            WORKFLOW ASSISTANCE\n=======================================\nFor any questions or support, please contact:\n    Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n   - YouTube: https://www.youtube.com/@YaronBeen/videos\n   - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n=======================================\n"
          },
          "typeVersion": 1
        },
        {
          "id": "3491b2bf-83a0-4966-9ff5-9c7c55f316e0",
          "name": "Anthropic Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
          "position": [
            4800,
            1240
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "claude-3-5-haiku-20241022",
              "cachedResultName": "Claude 3.5 Haiku"
            },
            "options": {}
          },
          "typeVersion": 1.3
        },
        {
          "id": "66b79bfc-3447-4b42-9617-308e490079bb",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            4720,
            880
          ],
          "parameters": {
            "width": 1120,
            "height": 580,
            "content": "ICE BREAKER\n"
          },
          "typeVersion": 1
        },
        {
          "id": "7557e53f-b898-4831-a52e-be9eeb0f4964",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            2940,
            560
          ],
          "parameters": {
            "color": 4,
            "width": 2980,
            "height": 1000,
            "content": "LOOP"
          },
          "typeVersion": 1
        },
        {
          "id": "0119ee4c-bc70-4aef-84e0-881cdea57aa9",
          "name": "Basic LLM Chain- Ice Breaker",
          "type": "@n8n/n8n-nodes-langchain.chainLlm",
          "position": [
            4920,
            900
          ],
          "parameters": {
            "text": "=Help me with writing a witty Ice breaker to try to persuade  {{ $json.name }} from{{ $('BrightData_Get_Linkedin').item.json.city }}. His About section in his Linkedin profile says:{{ $('BrightData_Get_Linkedin').item.json.about }}. \nHe also had a recent post about:{{ $('BrightData_Get_Linkedin').item.json.posts[0].title }}\n\nMake it 4 lines maximum. Focus more on his recent post, not the about. Just to make it feel personalized yet respectful and not creepy.\n\nWRITE THE ICE BREAKER Straight away. Dont write \"here's a draft\" or any other text before your actual response.",
            "promptType": "define"
          },
          "retryOnFail": true,
          "typeVersion": 1.6
        },
        {
          "id": "e3965132-4d21-4252-ab26-525128d79d29",
          "name": "BrightData_Get_Linkedin",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            4120,
            740
          ],
          "parameters": {
            "url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }}",
            "options": {},
            "sendQuery": true,
            "sendHeaders": true,
            "queryParameters": {
              "parameters": [
                {
                  "name": "format",
                  "value": "json"
                }
              ]
            },
            "headerParameters": {
              "parameters": [
                {
                  "name": "Authorization",
                  "value": "Bearer <BRIGHT_DATA_API_KEY>"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "0e55b67e-7ddb-4431-8250-59be59c6c557",
          "name": "Adjust_input_for_loop",
          "type": "n8n-nodes-base.set",
          "position": [
            2740,
            820
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "fcc97354-b9f6-4459-a004-46e87902c77c",
                  "name": "person_input",
                  "type": "string",
                  "value": "={{ $json.Linkedin_URL_Person }}"
                },
                {
                  "id": "e5415c49-5204-45b1-a0e9-814157127b12",
                  "name": "row_number",
                  "type": "number",
                  "value": "={{ $json.row_number }}"
                }
              ]
            }
          },
          "typeVersion": 3.3
        },
        {
          "id": "0cc85426-64f7-41f8-bd9a-215aaaad3299",
          "name": "HTTP_Request_Post_Request_BrightData",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            3300,
            740
          ],
          "parameters": {
            "url": "https://api.brightdata.com/datasets/v3/trigger",
            "method": "POST",
            "options": {},
            "jsonBody": "=[\n  {\n    \"url\": \"{{ $json.person_input }}\"\n  }\n]",
            "sendBody": true,
            "sendQuery": true,
            "sendHeaders": true,
            "specifyBody": "json",
            "queryParameters": {
              "parameters": [
                {
                  "name": "dataset_id",
                  "value": "gd_l1viktl72bvl7bjuj0"
                },
                {
                  "name": "include_errors",
                  "value": "true"
                }
              ]
            },
            "headerParameters": {
              "parameters": [
                {
                  "name": "Authorization",
                  "value": "Bearer <BRIGHT_DATA_API_KEY>"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "851b23e0-6a1b-4a47-95e9-d2f769243a57",
          "name": "Wait_For_API_Call_Results",
          "type": "n8n-nodes-base.wait",
          "position": [
            3500,
            740
          ],
          "webhookId": "8005a2b3-2195-479e-badb-d90e4240e699",
          "parameters": {
            "amount": 10
          },
          "executeOnce": false,
          "typeVersion": 1.1
        },
        {
          "id": "294a7c03-2268-4d7a-b4e7-a52faa78d929",
          "name": "API_Call_Snapshot_Progress",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            3660,
            840
          ],
          "parameters": {
            "url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
            "options": {},
            "sendHeaders": true,
            "headerParameters": {
              "parameters": [
                {
                  "name": "Authorization",
                  "value": "Bearer <Bright_Data_API_KEY>"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "d568403b-c323-4798-b7e5-e4a89dfe7830",
          "name": "IF-Checking_Status_API_Call",
          "type": "n8n-nodes-base.if",
          "position": [
            3860,
            900
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "version": 2,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "and",
              "conditions": [
                {
                  "id": "7932282b-71bb-4bbb-ab73-4978e554de7e",
                  "operator": {
                    "name": "filter.operator.equals",
                    "type": "string",
                    "operation": "equals"
                  },
                  "leftValue": "={{ $json.status }}",
                  "rightValue": "running"
                }
              ]
            }
          },
          "typeVersion": 2.2
        },
        {
          "id": "b44b5f4b-8aef-4ea3-bbd7-1e72548dda64",
          "name": "Google Sheets - Update Row with data From API",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            4500,
            940
          ],
          "parameters": {
            "columns": {
              "value": {
                "city": "={{ $json.city }}",
                "name": "={{ $json.name }}",
                "about": "={{ $json.about }}",
                "row_number": "={{ $('Loop Over Items- All Prospects').item.json.row_number }}",
                "country_code": "={{ $json.country_code }}",
                "Linkedin_URL_Person": "={{ $json.input.url }}",
                "current_company.name": "={{ $json.current_company.name }}"
              },
              "schema": [
                {
                  "id": "Linkedin_URL_Person",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "Linkedin_URL_Person",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "name",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "name",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "city",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "city",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "country_code",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "country_code",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Position",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "Position",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "about",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "about",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "current_company.name",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "current_company.name",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Post 1",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "Post 1",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Post 2",
                  "type": "string",
                  "display": true,
                  "removed": true,
                  "required": false,
                  "displayName": "Post 2",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Post 3",
                  "type": "string",
                  "display": true,
                  "removed": true,
                  "required": false,
                  "displayName": "Post 3",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Ice Breaker 1",
                  "type": "string",
                  "display": true,
                  "removed": true,
                  "required": false,
                  "displayName": "Ice Breaker 1",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Ice Breaker 2",
                  "type": "string",
                  "display": true,
                  "removed": true,
                  "required": false,
                  "displayName": "Ice Breaker 2",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "row_number",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "readOnly": true,
                  "required": false,
                  "displayName": "row_number",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                }
              ],
              "mappingMode": "defineBelow",
              "matchingColumns": [
                "row_number"
              ],
              "attemptToConvertTypes": false,
              "convertFieldsToString": false
            },
            "options": {},
            "operation": "update",
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "gid=0",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4/edit#gid=0",
              "cachedResultName": "input"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1_jbr5zBllTy_pGbogfGSvyv1_0a77I8tU-Ai7BjTAw4/edit?usp=drivesdk",
              "cachedResultName": "NoFluff-N8N-Sheet-Template"
            }
          },
          "typeVersion": 4.3,
          "alwaysOutputData": true
        },
        {
          "id": "081f9e1d-6325-4645-bb0c-368a8ac3be99",
          "name": "Google Sheets - Update Row with Ice Breaker",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            5400,
            1340
          ],
          "parameters": {
            "columns": {
              "value": {
                "row_number": "={{ $('Loop Over Items- All Prospects').item.json.row_number }}",
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                  "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/",
                  "icon": "📈",
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                },
                {
                  "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/",
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                },
                {
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                  "icon": "🎡",
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                },
                {
                  "url": "https://n8n.io/blog/automations-for-activists/",
                  "icon": "✨",
                  "label": "How Common Knowledge use workflow automation for activism"
                },
                {
                  "url": "https://n8n.io/blog/creating-scheduled-text-affirmations-with-n8n/",
                  "icon": "🤟",
                  "label": "Creating scheduled text affirmations with n8n"
                },
                {
                  "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/",
                  "icon": "🛵",
                  "label": "How Goomer automated their operations with over 200 n8n workflows"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
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                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/"
                }
              ]
            },
            "categories": [
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              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"output\"]",
        "defaults": {
          "name": "HTTP Request",
          "color": "#0004F5"
        },
        "iconData": {
          "type": "file",
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            "id": 5,
            "name": "Development"
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          {
            "id": 9,
            "name": "Core Nodes"
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        ]
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        "icon": "fa:map-signs",
        "name": "n8n-nodes-base.if",
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            "alias": [
              "Router",
              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
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                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/",
                  "icon": "🤬",
                  "label": "Create a toxic language detector for Telegram in 4 step"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
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                },
                {
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                {
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                {
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                {
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                },
                {
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                  "icon": "💡",
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                },
                {
                  "url": "https://n8n.io/blog/automation-for-maintainers-of-open-source-projects/",
                  "icon": "🏷️",
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                },
                {
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                {
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        },
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          "color": "#408000"
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        "iconData": {
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          "type": "icon"
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                {
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                {
                  "url": "https://n8n.io/blog/automatically-pulling-and-visualizing-data-with-n8n/",
                  "icon": "📈",
                  "label": "Automatically pulling and visualizing data with n8n"
                },
                {
                  "url": "https://n8n.io/blog/database-monitoring-and-alerting-with-n8n/",
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                  "label": "Database Monitoring and Alerting with n8n"
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                {
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                {
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                {
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                {
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                {
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                {
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                {
                  "url": "https://n8n.io/blog/building-an-expense-tracking-app-in-10-minutes/",
                  "icon": "📱",
                  "label": "Building an expense tracking app in 10 minutes"
                },
                {
                  "url": "https://n8n.io/blog/the-ultimate-guide-to-automate-your-video-collaboration-with-whereby-mattermost-and-n8n/",
                  "icon": "📹",
                  "label": "The ultimate guide to automate your video collaboration with Whereby, Mattermost, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/",
                  "icon": "🤖",
                  "label": "5 workflow automations for Mattermost that we love at n8n"
                },
                {
                  "url": "https://n8n.io/blog/learn-to-build-powerful-api-endpoints-using-webhooks/",
                  "icon": "🧰",
                  "label": "Learn to Build Powerful API Endpoints Using Webhooks"
                },
                {
                  "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/",
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                {
                  "url": "https://n8n.io/blog/a-low-code-bitcoin-ticker-built-with-questdb-and-n8n-io/",
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                {
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                {
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            "subcategories": {
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        "iconData": {
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        "displayName": "Edit Fields (Set)",
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          }
        },
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                {
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          }
        },
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        },
        "iconData": {
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        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
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              "Sticky"
            ],
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            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
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          "type": "icon"
        },
        "displayName": "Sticky Note",
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      },
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        "id": 838,
        "icon": "fa:mouse-pointer",
        "name": "n8n-nodes-base.manualTrigger",
        "codex": {
          "data": {
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/"
                }
              ]
            },
            "categories": [
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            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
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        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "When clicking ‘Execute workflow’",
          "color": "#909298"
        },
        "iconData": {
          "icon": "mouse-pointer",
          "type": "icon"
        },
        "displayName": "Manual Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1123,
        "icon": "fa:link",
        "name": "@n8n/n8n-nodes-langchain.chainLlm",
        "codex": {
          "data": {
            "alias": [
              "LangChain"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Chains",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Basic LLM Chain",
          "color": "#909298"
        },
        "iconData": {
          "icon": "link",
          "type": "icon"
        },
        "displayName": "Basic LLM Chain",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1145,
        "icon": "file:anthropic.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
        "codex": {
          "data": {
            "alias": [
              "claude",
              "sonnet",
              "opus"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatanthropic/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Anthropic Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0NiIgaGVpZ2h0PSIzMiIgZmlsbD0ibm9uZSI+PHBhdGggZmlsbD0iIzdEN0Q4NyIgZD0iTTMyLjczIDBoLTYuOTQ1TDM4LjQ1IDMyaDYuOTQ1ek0xMi42NjUgMCAwIDMyaDcuMDgybDIuNTktNi43MmgxMy4yNWwyLjU5IDYuNzJoNy4wODJMMTkuOTI5IDB6bS0uNzAyIDE5LjMzNyA0LjMzNC0xMS4yNDYgNC4zMzQgMTEuMjQ2eiIvPjwvc3ZnPg=="
        },
        "displayName": "Anthropic Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 37,
        "name": "Lead Generation"
      },
      {
        "id": 51,
        "name": "Multimodal AI"
      }
    ],
    "image": []
  }
}