{
  "workflow": {
    "id": 5428,
    "name": "Qualify real estate leads automatically with OpenAI, Gmail & Airtable CRM",
    "views": 6442,
    "recentViews": 2,
    "totalViews": 6442,
    "createdAt": "2025-06-28T06:14:18.530Z",
    "description": "🧠 How It Works\n1. This AI Agent automatically qualifies property buyer leads from form submissions.\n2. Form Submission Trigger\n3. When a user submits their details via a property inquiry form, the workflow is triggered.\n4. AI Lead Classification\n5. The buyer's input (budget, location, timeline, etc.) is analyzed by OpenAI to extract structured data and generate a lead score (0–100).\n6. Lead Qualification Logic\n7. Leads with a score of 70 or above are marked as qualified, the rest are ignored or stored separately.\n8. Follow-Up Action\n9. Qualified leads trigger:\n10. Email notification to the agent\n11. Record creation in Airtable as CRM\n\n⚙️ How to Set Up\n1. Form Setup\n2. Replace the form trigger with your preferred source (Typeform, Google Form, etc.)\n3. Make sure the form includes: Name, Email, Budget, Location, Timeline, Property Type\n4. Connect Your Credentials\n5. Add your OpenAI API key for the LLM node\n6. Connect your Gmail account for notifications\n7. Link your Airtable base and table to store qualified leads\n8. Customize Scoring Logic (Optional)\n9. You can tweak the prompt in the Information Extractor node to change how scoring works\n10. Test the Workflow\n11. Submit a test entry via the form\n12. Check if you receive an email and see the lead in Airtable\n13. Activate & Go Live\n14. Turn on the workflow and start qualifying real buyer leads in real time\n\nConnect with my linkedin: https://www.linkedin.com/in/bheta-dwiki-maranatha-15654b227/\n",
    "workflow": {
      "id": "gFQYkoSGHEW9QiCU",
      "meta": {
        "instanceId": "a287613f1596da776459594685fbf4e2b4a12124f80ab8c8772f5e37bff103ae",
        "templateCredsSetupCompleted": true
      },
      "name": "AI Agent Leads Processor",
      "tags": [],
      "nodes": [
        {
          "id": "5d431bce-7614-4890-a72a-625d7565c89b",
          "name": "On form submission",
          "type": "n8n-nodes-base.formTrigger",
          "position": [
            -120,
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          ],
          "webhookId": "6a3bc9b4-7cd8-4e0d-bf61-d241e3e077ef",
          "parameters": {
            "options": {
              "appendAttribution": false
            },
            "formTitle": "Property Form",
            "formFields": {
              "values": [
                {
                  "fieldLabel": "Full Name",
                  "requiredField": true
                },
                {
                  "fieldLabel": "Email",
                  "requiredField": true
                },
                {
                  "fieldLabel": "Budget Range",
                  "requiredField": true
                },
                {
                  "fieldLabel": "Preferred Location",
                  "requiredField": true
                },
                {
                  "fieldLabel": "Purchase Timeline",
                  "requiredField": true
                },
                {
                  "fieldLabel": "Property Type",
                  "requiredField": true
                }
              ]
            },
            "formDescription": "Fill the form to buy!"
          },
          "typeVersion": 2.2
        },
        {
          "id": "f69f0530-4554-4911-99bb-85d9cabd512c",
          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -120,
            0
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "1ef89976-db25-463c-83e1-5849aefd27e8",
          "name": "Information Extractor",
          "type": "@n8n/n8n-nodes-langchain.informationExtractor",
          "position": [
            100,
            -220
          ],
          "parameters": {
            "text": "=You are a real estate assistant. Based on the input, classify the lead quality, extract structured info, and give a lead score (0-100).\n\nInput:\nName: {{ $json['Full Name'] }}\nEmail: {{ $json.Email }}\nBudget: {{ $json['Budget Range'] }}\nLocation: {{ $json['Preferred Location'] }}\nTimeline: {{ $json['Purchase Timeline'] }}\nProperty Type: {{ $json['Property Type'] }}\n\nInstructions:\n- Parse the budget into numeric range\n- Estimate urgency from timeline\n- Score lead (0-100) based on high budget, urgency, and location being Sydney\n- Return JSON like:\n{\n  \"name\": \"...\",\n  \"email\": \"...\",\n  \"budget_min\": ...,\n  \"budget_max\": ...,\n  \"location\": \"...\",\n  \"timeline\": \"...\",\n  \"urgency\": \"high | medium | low\",\n  \"score\": ...,\n  \"qualified\":",
            "options": {},
            "schemaType": "fromJson",
            "jsonSchemaExample": "{\n  \"name\": \"\",\n  \"email\": \"\",\n  \"budget_min\": \"\",\n  \"budget_max\": \"\",\n  \"location\": \"\",\n  \"timeline\": \"\",\n  \"urgency\": \"high | medium | low\",\n  \"score\": \"\"\n}"
          },
          "typeVersion": 1
        },
        {
          "id": "384abf4b-6f25-451d-b0ee-b6089a2a7251",
          "name": "If",
          "type": "n8n-nodes-base.if",
          "position": [
            696,
            -220
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "version": 2,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "and",
              "conditions": [
                {
                  "id": "79c024d4-0727-4b53-bc8a-d87502b4cefd",
                  "operator": {
                    "type": "boolean",
                    "operation": "true",
                    "singleValue": true
                  },
                  "leftValue": "={{ $json.qualified }}",
                  "rightValue": ""
                }
              ]
            }
          },
          "typeVersion": 2.2,
          "alwaysOutputData": true
        },
        {
          "id": "45c42d95-ffe3-4aae-b4ff-77bfaf83bd32",
          "name": "Edit Fields",
          "type": "n8n-nodes-base.set",
          "position": [
            476,
            -220
          ],
          "parameters": {
            "options": {
              "ignoreConversionErrors": true
            },
            "assignments": {
              "assignments": [
                {
                  "id": "c199e2d3-6202-4db7-8912-be72a411b484",
                  "name": "qualified",
                  "type": "boolean",
                  "value": "={{ $json[\"output\"][\"score\"] >= 70 }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "745a47a0-47ae-40e1-988c-dc2d6493ba88",
          "name": "Gmail",
          "type": "n8n-nodes-base.gmail",
          "position": [
            1000,
            -460
          ],
          "webhookId": "3c05319c-15b1-4caf-9fe5-f5db4dba9070",
          "parameters": {
            "sendTo": "email",
            "message": "=Name: {{ $('Information Extractor').item.json.output.name }}\nEmail: {{ $('Information Extractor').item.json.output.email }}\nLocation: {{ $('Information Extractor').item.json.output.location }}\nBudget: {{ $('Information Extractor').item.json.output.budget_min }}\nTimeline: {{ $('Information Extractor').item.json.output.timeline }}\nScore: {{ $('Information Extractor').item.json.output.score }}",
            "options": {},
            "subject": "🔥 NEW QUALIFIED LEAD"
          },
          "credentials": {
            "gmailOAuth2": {
              "id": "credential-id",
              "name": "gmailOAuth2 Credential"
            }
          },
          "typeVersion": 2.1
        },
        {
          "id": "938a489a-e785-40e9-9b2c-93503423ab4c",
          "name": "Airtable",
          "type": "n8n-nodes-base.airtable",
          "position": [
            1000,
            60
          ],
          "parameters": {
            "base": {
              "__rl": true,
              "mode": "list",
              "value": ""
            },
            "table": {
              "__rl": true,
              "mode": "list",
              "value": ""
            },
            "columns": {
              "value": {
                "Name": "={{ $('Information Extractor').item.json.output.name }}",
                "Email": "={{ $('Information Extractor').item.json.output.email }}",
                "Score": "={{ $('Information Extractor').item.json.output.score }}",
                "budget": "={{ $('Information Extractor').item.json.output.budget_min }}",
                "Location": "={{ $('Information Extractor').item.json.output.location }}",
                "Timeline": "={{ $('Information Extractor').item.json.output.timeline }}"
              },
              "schema": [
                {
                  "id": "Name",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "readOnly": false,
                  "required": false,
                  "displayName": "Name",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Email",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "readOnly": false,
                  "required": false,
                  "displayName": "Email",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "budget",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "readOnly": false,
                  "required": false,
                  "displayName": "budget",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Location",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "readOnly": false,
                  "required": false,
                  "displayName": "Location",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Timeline",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "readOnly": false,
                  "required": false,
                  "displayName": "Timeline",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "Score",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "readOnly": false,
                  "required": false,
                  "displayName": "Score",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                }
              ],
              "mappingMode": "defineBelow",
              "matchingColumns": [
                "id"
              ],
              "attemptToConvertTypes": false,
              "convertFieldsToString": false
            },
            "options": {},
            "operation": "create"
          },
          "credentials": {
            "airtableTokenApi": {
              "id": "credential-id",
              "name": "airtableTokenApi Credential"
            }
          },
          "typeVersion": 2.1
        },
        {
          "id": "bc72a77a-99ea-48d3-b5ea-11ed0d942cd3",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -192,
            -280
          ],
          "parameters": {
            "width": 1100,
            "height": 220,
            "content": "## Flow"
          },
          "typeVersion": 1
        },
        {
          "id": "4ae2ea9f-e369-4dad-9b4c-6be96d7bdeda",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -180,
            -40
          ],
          "parameters": {
            "color": 3,
            "width": 200,
            "content": "## Engine"
          },
          "typeVersion": 1
        },
        {
          "id": "6be7b903-9375-45a1-b678-b72a17769468",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            920,
            0
          ],
          "parameters": {
            "color": 4,
            "width": 260,
            "height": 220,
            "content": "## CRM"
          },
          "typeVersion": 1
        },
        {
          "id": "f12e0a18-e41e-4b79-8449-795e8750a805",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            920,
            -520
          ],
          "parameters": {
            "color": 5,
            "width": 260,
            "height": 220,
            "content": "## Follow Up"
          },
          "typeVersion": 1
        },
        {
          "id": "70cecac6-50ea-4046-bb53-20553ea87f7a",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -580,
            -540
          ],
          "parameters": {
            "color": 7,
            "width": 360,
            "height": 760,
            "content": "## AI Agent Leads Processor\n\n- **Problem**  \nReal estate agents waste time on low-quality leads and slow follow-ups.  \nThey manually qualify buyers, which leads to lost deals and burnout.\n\n- **Solution**  \nAn AI-powered agent that automatically scores and filters leads, sends alerts for hot leads, and stores them in a CRM.  \nAgents only focus on high-quality prospects.\n\n- **This AI Agent is for...**  \nSolo real estate agents or small agencies handling 10–50 buyer inquiries per week — especially those using online forms.\n\n- **Scope**  \n✓ Auto-lead intake from form  \n✓ AI lead scoring & qualification  \n✓ Email notification for qualified leads  \n✓ CRM logging (Airtable)  \n✗ No built-in WhatsApp reply (optional add-on)  \n✗ No auto-scheduling (optional add-on)\n\n- **How to Set Up**  \n1. Replace the form with your own (Typeform/Google Form/etc.)  \n2. Link your OpenAI key and Gmail account  \n3. Connect your Airtable base  \n4. Activate the workflow  \n5. Test by submitting a dummy lead\n"
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "c06fd443-1b58-4f75-b58e-3f32bac9d023",
      "connections": {
        "If": {
          "main": [
            [
              {
                "node": "Airtable",
                "type": "main",
                "index": 0
              },
              {
                "node": "Gmail",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Edit Fields": {
          "main": [
            [
              {
                "node": "If",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "Information Extractor",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "On form submission": {
          "main": [
            [
              {
                "node": "Information Extractor",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Information Extractor": {
          "main": [
            [
              {
                "node": "Edit Fields",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 12,
      "nodeTypes": {
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        },
        "n8n-nodes-base.set": {
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        },
        "n8n-nodes-base.gmail": {
          "count": 1
        },
        "n8n-nodes-base.airtable": {
          "count": 1
        },
        "n8n-nodes-base.stickyNote": {
          "count": 5
        },
        "n8n-nodes-base.formTrigger": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.lmChatOpenAi": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.informationExtractor": {
          "count": 1
        }
      }
    },
    "status": "published",
    "user": {
      "name": "Marth",
      "username": "marth",
      "bio": "Simplifying Business with Smart Automation. I create and share user-friendly, highly efficient n8n workflow templates for SMEs, focusing on digital marketing, sales, and operational excellence. Get ready to automate, innovate, and elevate your business.\n\nConnect me on Linkedin for custom solutions.",
      "verified": true,
      "links": [
        "https://www.linkedin.com/in/bhetamaranatha"
      ],
      "avatar": "https://gravatar.com/avatar/b171aefe1210cde17102cd98e0b287ee9ea093abef7da61644ae1d0a6c506894?r=pg&d=retro&size=200"
    },
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        "icon": "file:airtable.svg",
        "name": "n8n-nodes-base.airtable",
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                  "label": "2021 Goals: Level Up Your Vocabulary With Vonage and n8n"
                },
                {
                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
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                  "label": "2021: The Year to Automate the New You with n8n"
                },
                {
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                },
                {
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                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
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                  "label": "Building an expense tracking app in 10 minutes"
                },
                {
                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
                  "icon": "🧠",
                  "label": "Why this Product Manager loves workflow automation with 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/sending-sms-the-low-code-way-with-airtable-twilio-programmable-sms-and-n8n/",
                  "icon": "📱",
                  "label": "Sending SMS the Low-Code Way with Airtable, Twilio Programmable SMS, and n8n"
                },
                {
                  "url": "https://n8n.io/blog/automating-conference-organization-processes-with-n8n/",
                  "icon": "🙋‍♀️",
                  "label": "Automating Conference Organization Processes with n8n"
                },
                {
                  "url": "https://n8n.io/blog/benefits-of-automation-and-n8n-an-interview-with-hubspots-hugh-durkin/",
                  "icon": "🎖",
                  "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
                },
                {
                  "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"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.airtable/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/airtable/"
                }
              ]
            },
            "categories": [
              "Data & Storage"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"input\"]",
        "defaults": {
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        },
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        "displayName": "Airtable",
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            "id": 3,
            "name": "Data & Storage"
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        "icon": "fa:map-signs",
        "name": "n8n-nodes-base.if",
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              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
            "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.",
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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"
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        },
        "displayName": "OpenAI Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1225,
        "icon": "file:form.svg",
        "name": "n8n-nodes-base.formTrigger",
        "codex": {
          "data": {
            "alias": [
              "table",
              "submit",
              "post"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Other Trigger Nodes"
              ]
            }
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "On form submission"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0NiIgaGVpZ2h0PSI0MCIgZmlsbD0ibm9uZSI+PHBhdGggZmlsbD0iIzAwQjdCQyIgZmlsbC1ydWxlPSJldmVub2RkIiBkPSJNMzQuOTc4IDM3LjczMmExLjU2IDEuNTYgMCAwIDEtMS41NjIgMS41NjNINi4yNmExLjU2IDEuNTYgMCAwIDEtMS41NjMtMS41NjNWOS42MDdjMC0uNDA1LjE1Ny0uNzk0LjQzOC0xLjA4Nmw2LjMwNC02LjUzMXY1LjM0NEg4LjIxM2ExLjE3MiAxLjE3MiAwIDEgMCAwIDIuMzQzaDQuNDNhMS4xNyAxLjE3IDAgMCAwIDEuMTcxLTEuMTcxVi4yMzJoMTkuNjAyYTEuNTYgMS41NiAwIDAgMSAxLjU2MiAxLjU2M3YxMC4zMjdsLTIuODYgMi44Ni04LjI1MiA4LjI3NmE0MTMuMDA2IDQxMy4wMDYgMCAwIDEtMS42NTQgMS42NjJsLS4zMzcuMzM3YTIgMiAwIDAgMC0uNTU3IDEuMDhMMjAuMyAzMS45MjJjLS4xMDguNjM4LS4yMTUgMS4wNzkuMjExIDEuNDE4LjQwMy4zMi45LjE3NCAxLjU0LjA2Nmw1LjQwOC0uOTI4YTIgMiAwIDAgMCAxLjA4LS41NTZsNi40NC02LjQyOXptLTI0LjAzLTIxLjI2NWExLjE4IDEuMTggMCAwIDAgMS4xNzEgMS4xNzJoMTMuMTYzYTEuMTcyIDEuMTcyIDAgMSAwIDAtMi4zNDRIMTIuMTE5YTEuMTcgMS4xNyAwIDAgMC0xLjE3MiAxLjE3Mm03LjI5NCAxNC43NjZhMS4xNyAxLjE3IDAgMCAwLTEuMTcyLTEuMTcySDEyLjEyYTEuMTcyIDEuMTcyIDAgMSAwIDAgMi4zNDNoNC45NTFhMS4xNyAxLjE3IDAgMCAwIDEuMTcyLTEuMTcybS44Ni03LjM5MWExLjE3IDEuMTcgMCAwIDAtMS4xNzItMS4xNzJoLTUuODExYTEuMTcyIDEuMTcyIDAgMSAwIDAgMi4zNDNoNS44MWExLjE2NCAxLjE2NCAwIDAgMCAxLjE3My0xLjE3MSIgY2xpcC1ydWxlPSJldmVub2RkIi8+PHBhdGggZmlsbD0iIzAwQjdCQyIgZD0ibTMzLjUzMiAxNi4zOTcgNC4yODktNC4yODkgMy43NTggMy43MSAxLjYxNy0xLjYxNiAyLjI1OCAyLjI1N2MuMjE4LjIxOC4zNC41MTMuMzQzLjgyLS4wMDIuMzExLS4xMjUuNjA4LS4zNDQuODNsLTYuODA0IDYuNzk2YTEuMTMgMS4xMyAwIDAgMS0uODI4LjM0MyAxLjE1IDEuMTUgMCAwIDEtLjgyOC0uMzQzIDEuMTggMS4xOCAwIDAgMSAwLTEuNjU3bDUuOTc2LTUuOTY4LTEuMzEyLTEuMzEzLTEuMzgzIDEuNDE0LTEzLjE0OSAxMy4xMjUtNC42MTcuNzgyLjc4Mi00LjYxNy4zMzYtLjMzNyAyLjU2MiAyLjU1NWExLjEgMS4xIDAgMCAwIC44MjguMzQ0Yy4zMTIuMDA1LjYxMi0uMTIuODI4LS4zNDRhMS4xOCAxLjE4IDAgMCAwIDAtMS42NTZsLTIuNTYyLTIuNTYyek00NC43MzYgMTIuMjRjMCAuNDE0LS4xNjMuODEtLjQ1NCAxLjEwMmwtLjkyMi45MTQtMy44NTItMy44MjguOTMtLjkzYTEuNTYzIDEuNTYzIDAgMCAxIDIuMjAzIDBsMS42NCAxLjY0MWMuMjkxLjI5My40NTUuNjkuNDU1IDEuMTAyIi8+PC9zdmc+"
        },
        "displayName": "n8n Form Trigger",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1273,
        "icon": "fa:project-diagram",
        "name": "@n8n/n8n-nodes-langchain.informationExtractor",
        "codex": {
          "data": {
            "alias": [
              "NER",
              "parse",
              "parsing",
              "JSON",
              "data extraction",
              "structured"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Chains",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Information Extractor"
        },
        "iconData": {
          "icon": "project-diagram",
          "type": "icon"
        },
        "displayName": "Information Extractor",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 37,
        "name": "Lead Generation"
      },
      {
        "id": 49,
        "name": "AI Summarization"
      }
    ],
    "image": []
  }
}