{
  "workflow": {
    "id": 4281,
    "name": "Real estate intelligence tracker with Bright Data & OpenAI",
    "views": 10366,
    "recentViews": 2,
    "totalViews": 10366,
    "createdAt": "2025-05-21T13:33:31.376Z",
    "description": "### Who this is for\nThe Real Estate Intelligence Tracker is a powerful automated workflow designed for real estate analysts, investors, proptech startups, and market researchers who need to collect and analyze structured data from real estate listings across the web at scale.\n\nThis workflow is tailored for:\n\n- **Real Estate Analysts** - Tracking property prices, locations, and market trends\n\n- **Investment Firms** - Sourcing high-opportunity listings for portfolio decisions\n\n- **PropTech Developers** - Automating listing insights for SaaS platforms\n\n- **Market Researchers** - Extracting insights from competitive housing data\n\n- **Growth Teams** - Monitoring geographic property trends and pricing fluctuations\n\n### What problem is this workflow solving?\nCollecting structured real estate listing data from property websites is difficult due to bot protections and unstructured HTML content. Manual data collection is slow and error-prone, and traditional scrapers often get blocked or miss context.\n\nThis workflow solves:\n\n- Automated bypass of anti-bot protection using Bright Data Web Unlocker\n\n- Conversion of unstructured HTML content into clean text using a Markdown-to-text LLM pipeline\n\n- Structured extraction of key listing data like price, location, property type, and features using OpenAI\n\n- Aggregation and delivery of insights to Google Sheets, local storage, and webhook-based alerts\n\n### What this workflow does\n\n**Convert to Text**: Transforms scraped HTML/markdown into clean text using a Basic LLM Chain\n\n**Structured Data Extraction**: Uses OpenAI GPT-4o with the Information Extractor node to parse property attributes (price, address, area, type, etc.)\n\n**Aggregate & Merge**: Combines data from multiple pages or listings into a cohesive structure\n\n**Outbound Data Handling**:\n\n- **Google Sheets** – Appends the structured real estate data for further analysis\n\n- **Save to Disk** – Persists structured JSON/text data locally\n\n- **Webhook Notification** – Sends data alerts or summaries to any third-party platform\n\n### Pre-conditions\n\n1. You need to have a [Bright Data](https://brightdata.com/) account and do the necessary setup as mentioned in the \"Setup\" section below.\n2. You need to have an OpenAI Account.\n\n### Setup\n- Sign up at [Bright Data](https://brightdata.com/).\n- Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.\n- In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication).\n![Header Authentication.png](fileId:1354)\nThe Value field should be set with the\n**Bearer XXXXXXXXXXXXXX**. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.\n- In n8n, Configure the Google Sheet Credentials with your own account. Follow this documentation - [Set Google Sheet Credential](https://docs.n8n.io/integrations/builtin/credentials/google/)\n- In n8n, configure the OpenAi account credentials.\n- Ensure the URL and Bright Data zone name are correctly set in the **Set URL, Filename and Bright Data Zone** node.\n- Set the desired local path in the **Write a file** to disk node to save the responses.\n\n### How to customize this workflow to your needs\n\n**Target Multiple Sites or Locations**\n\n- Update the Bright Data URL node dynamically with a list of regional real estate websites\n\n- Loop through different city/state filter URLs\n\n**Customize Extracted Fields**\n\nModify the Information Extractor prompt to extract fields like:\n\n- Property size, number of bedrooms/bathrooms\n\n- Days on market\n\n- Nearby amenities or schools\n\n- Agent contact details\n\n**Integrate with More Destinations**\n\n- Add nodes to export data to Notion, Airtable, HubSpot, or your custom database\n\n- Generate automated reports using PDF generators and email them\n\n**Data Quality and Logging**\n\n- Add validation checks (e.g., missing price or address)\n\n- Save intermediate files (markdown, raw HTML, JSON output) to disk for audit purposes\n\n\n",
    "workflow": {
      "id": "M3htaKFJfCuko2uB",
      "meta": {
        "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
        "templateCredsSetupCompleted": true
      },
      "name": "Real Estate Intelligence Tracker with Bright Data & OpenAI",
      "tags": [
        {
          "id": "Kujft2FOjmOVQAmJ",
          "name": "Engineering",
          "createdAt": "2025-04-09T01:31:00.558Z",
          "updatedAt": "2025-04-09T01:31:00.558Z"
        },
        {
          "id": "ZOwtAMLepQaGW76t",
          "name": "Building Blocks",
          "createdAt": "2025-04-13T15:23:40.462Z",
          "updatedAt": "2025-04-13T15:23:40.462Z"
        },
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          "name": "AI",
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          "updatedAt": "2025-04-13T05:38:08.053Z"
        }
      ],
      "nodes": [
        {
          "id": "7dc6c3d9-55e0-4f32-b00d-96c92482eca8",
          "name": "When clicking ‘Test workflow’",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            -1700,
            -210
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "196a1630-ca74-4fee-a7bf-0555a3693908",
          "name": "Set URL and Bright Data Zone",
          "type": "n8n-nodes-base.set",
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          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
                  "name": "url",
                  "type": "string",
                  "value": "https://www.redfin.com/IL/Chicago/5814-W-Roscoe-St-60634/home/13464782"
                },
                {
                  "id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
                  "name": "zone",
                  "type": "string",
                  "value": "web_unlocker1"
                }
              ]
            }
          },
          "typeVersion": 3.4
        },
        {
          "id": "80131d8e-b359-4b2a-8291-faf9c4e8892f",
          "name": "Perform Bright Data Web Request",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
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          ],
          "parameters": {
            "url": "https://api.brightdata.com/request",
            "method": "POST",
            "options": {},
            "sendBody": true,
            "sendHeaders": true,
            "authentication": "genericCredentialType",
            "bodyParameters": {
              "parameters": [
                {
                  "name": "zone",
                  "value": "={{ $json.zone }}"
                },
                {
                  "name": "url",
                  "value": "={{ $json.url }}"
                },
                {
                  "name": "format",
                  "value": "raw"
                },
                {
                  "name": "data_format",
                  "value": "markdown"
                }
              ]
            },
            "genericAuthType": "httpHeaderAuth",
            "headerParameters": {
              "parameters": [
                {}
              ]
            }
          },
          "credentials": {
            "httpHeaderAuth": {
              "id": "credential-id",
              "name": "httpHeaderAuth Credential"
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "2b0c3867-3c8d-4dc2-b9e9-fc9f074efaea",
          "name": "Markdown to Textual Data Extractor",
          "type": "@n8n/n8n-nodes-langchain.chainLlm",
          "position": [
            -1040,
            -210
          ],
          "parameters": {
            "text": "=You need to analyze the below markdown and convert to textual data. Please do not output with your own thoughts. Make sure to output with textual data only with no links, scripts, css etc.\n\n{{ $json.data }}",
            "messages": {
              "messageValues": [
                {
                  "message": "You are a markdown expert"
                }
              ]
            },
            "promptType": "define"
          },
          "typeVersion": 1.6
        },
        {
          "id": "52dc4add-92e6-4118-948e-63c4a706a017",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1720,
            -640
          ],
          "parameters": {
            "width": 400,
            "height": 320,
            "content": "## Note\n\nDeals with the Realestate data extraction by utilizing the Bright Data Web Unlocker Product.\n\n**Please make sure to set the Real-estate website URL with the Bright Data zone name. Also update the Webhook Notification URL of your interest**"
          },
          "typeVersion": 1
        },
        {
          "id": "0b64779e-d4c6-4c67-8b67-fcddac760db6",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1260,
            -640
          ],
          "parameters": {
            "width": 480,
            "height": 320,
            "content": "## LLM Usages\n\nOpenAI GPT 4o model is being used.\n\nBasic LLM Chain for converting the markdown to textual content.\n\nInformation Extractor is being used for the structured data extraction."
          },
          "typeVersion": 1
        },
        {
          "id": "9d4eaebe-eb56-4d57-abe6-7d2beaff5af0",
          "name": "Review Data Extractor",
          "type": "@n8n/n8n-nodes-langchain.informationExtractor",
          "position": [
            -500,
            -560
          ],
          "parameters": {
            "text": "=Extract all the reviews from the provided content\n\n {{ $json.text }}",
            "options": {},
            "schemaType": "fromJson",
            "jsonSchemaExample": "[{\n      \"@type\": \"Review\",\n      \"datePublished\": \"2025-04-29\",\n      \"review\": \"Incredible support and empathy. Shemi truly listened and understood my concerns. Outstanding service!\",\n      \"rating\": {\n        \"@type\": \"Rating\",\n        \"value\": \"5\"\n      }\n    }]"
          },
          "typeVersion": 1
        },
        {
          "id": "84473d2e-4243-402a-98b3-b80179b9a5ae",
          "name": "Structured Data Extractor",
          "type": "@n8n/n8n-nodes-langchain.informationExtractor",
          "position": [
            -500,
            -100
          ],
          "parameters": {
            "text": "=Extract structured data from the provided content\n\n {{ $json.text }}",
            "options": {},
            "schemaType": "fromJson",
            "jsonSchemaExample": "{\n  \"@context\": \"https://schema.org\",\n  \"@type\": \"Offer\",\n  \"itemOffered\": {\n    \"@type\": \"SingleFamilyResidence\",\n    \"name\": \"Luxury 4BHK Villa with Pool in Herzliya\",\n    \"description\": \"A stunning 4-bedroom villa featuring private pool, garden, smart-home automation, and ocean views. Located in one of Herzliya’s premium neighborhoods.\",\n    \"address\": {\n      \"@type\": \"PostalAddress\",\n      \"streetAddress\": \"456 Seaside Road\",\n      \"addressLocality\": \"Herzliya\",\n      \"postalCode\": \"4685105\",\n      \"addressCountry\": \"IL\"\n    },\n    \"floorSize\": {\n      \"@type\": \"QuantitativeValue\",\n      \"value\": 300,\n      \"unitCode\": \"MTK\"\n    },\n    \"numberOfRooms\": 7,\n    \"numberOfBedrooms\": 4,\n    \"numberOfBathroomsTotal\": 3,\n    \"amenityFeature\": [\n      {\n        \"@type\": \"LocationFeatureSpecification\",\n        \"name\": \"Swimming Pool\",\n        \"value\": true\n      },\n      {\n        \"@type\": \"LocationFeatureSpecification\",\n        \"name\": \"Smart Home Enabled\",\n        \"value\": true\n      },\n      {\n        \"@type\": \"LocationFeatureSpecification\",\n        \"name\": \"Sea View\",\n        \"value\": true\n      }\n    ],\n    \"image\": [\n      \"https://brightrealty.com/listings/villa1_front.jpg\",\n      \"https://brightrealty.com/listings/villa1_pool.jpg\",\n      \"https://brightrealty.com/listings/villa1_living.jpg\"\n    ],\n    \"petsAllowed\": \"Yes\",\n    \"url\": \"https://brightrealty.com/properties/luxury-4bhk-villa-herzliya\"\n  },\n  \"priceCurrency\": \"ILS\",\n  \"price\": \"8500000\",\n  \"availability\": \"https://schema.org/InStock\",\n  \"seller\": {\n    \"@type\": \"RealEstateAgent\",\n    \"name\": \"Bright Realty Services\",\n    \"url\": \"https://brightrealty.com\",\n    \"telephone\": \"+1234567890\",\n    \"email\": \"user@example.com\",\n    \"address\": {\n      \"@type\": \"PostalAddress\",\n      \"streetAddress\": \"123 Main St\",\n      \"addressLocality\": \"Tel Aviv\",\n      \"postalCode\": \"6100000\",\n      \"addressCountry\": \"IL\"\n    }\n  }\n}"
          },
          "typeVersion": 1
        },
        {
          "id": "d1b44002-2a50-4c0c-bf55-bf57a994bd2b",
          "name": "Google Sheets",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            460,
            -520
          ],
          "parameters": {
            "columns": {
              "value": {
                "data": "={{ $json.data }}"
              },
              "schema": [
                {
                  "id": "data",
                  "type": "string",
                  "display": true,
                  "removed": false,
                  "required": false,
                  "displayName": "data",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                }
              ],
              "mappingMode": "defineBelow",
              "matchingColumns": [
                "data"
              ],
              "attemptToConvertTypes": false,
              "convertFieldsToString": false
            },
            "options": {},
            "operation": "appendOrUpdate",
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "gid=0",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1DGx_-sZ59wZlrhQRfj-qyMFMF6Z1IxpJrSNHD8rTZR8/edit#gid=0",
              "cachedResultName": "Sheet1"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "1DGx_-sZ59wZlrhQRfj-qyMFMF6Z1IxpJrSNHD8rTZR8",
              "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1DGx_-sZ59wZlrhQRfj-qyMFMF6Z1IxpJrSNHD8rTZR8/edit?usp=drivesdk",
              "cachedResultName": "Real-estate data"
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.5
        },
        {
          "id": "9f203292-0806-48a9-a409-f64706b1b0b6",
          "name": "Create a binary data for Structured Data Extract",
          "type": "n8n-nodes-base.function",
          "position": [
            460,
            -320
          ],
          "parameters": {
            "functionCode": "items[0].binary = {\n  data: {\n    data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n  }\n};\nreturn items;"
          },
          "typeVersion": 1
        },
        {
          "id": "9a64deed-1f56-4e10-9e11-31bfcfd6abac",
          "name": "Write the structured content to disk",
          "type": "n8n-nodes-base.readWriteFile",
          "position": [
            680,
            -320
          ],
          "parameters": {
            "options": {},
            "fileName": "=d:\\Realestate-StructuredData.json",
            "operation": "write"
          },
          "typeVersion": 1
        },
        {
          "id": "83e7f6d7-216c-496b-9011-47d0b95561ba",
          "name": "Merge the responses",
          "type": "n8n-nodes-base.merge",
          "position": [
            20,
            -320
          ],
          "parameters": {},
          "typeVersion": 3.1
        },
        {
          "id": "cf515b99-e139-48f8-9878-7950fa352d1e",
          "name": "Aggregate the responses",
          "type": "n8n-nodes-base.aggregate",
          "position": [
            240,
            -320
          ],
          "parameters": {
            "options": {},
            "aggregate": "aggregateAllItemData"
          },
          "typeVersion": 1
        },
        {
          "id": "a93e59ab-f384-4b05-90f8-71b305a3bfb7",
          "name": "Initiate a Webhook Notification for the Structured Data",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
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            -120
          ],
          "parameters": {
            "url": "https://webhook.site/7b5380a0-0544-48dc-be43-0116cb2d52c2",
            "options": {},
            "sendBody": true,
            "bodyParameters": {
              "parameters": [
                {
                  "name": "summary",
                  "value": "={{ $json.data }}"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "a2f0de15-7d1d-42bb-aa22-1a3bd359ead5",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1720,
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          ],
          "parameters": {
            "color": 7,
            "width": 400,
            "height": 400,
            "content": "## Logo\n\n\n![logo](https://images.seeklogo.com/logo-png/43/1/brightdata-logo-png_seeklogo-439974.png)\n"
          },
          "typeVersion": 1
        },
        {
          "id": "6ecb7f50-2d16-43e2-b999-98492ec81668",
          "name": "OpenAI Chat Model for Markdown to Textual",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -960,
            20
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "fe6f00e3-efaa-4d57-8abd-1fbc789152a9",
          "name": "OpenAI Chat Model for Structured Data",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -420,
            120
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "4ce2647e-9796-4bfd-8dc2-0aa7f7466824",
          "name": "OpenAI Chat Model for Review Data Extractor",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            -420,
            -340
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "gpt-4o-mini"
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "fad15f6e-0ccb-4810-94d6-bc4f42527071",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -60,
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          ],
          "parameters": {
            "color": 3,
            "width": 1000,
            "height": 760,
            "content": "## Outbound Data Push\nOutbound data handling by merging, aggregating the data and pushing the same to multiple sources such as Google Sheets, Save to Disk, Webhook Notification"
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "db35bf88-1a4c-482e-abfd-49349b35952b",
      "connections": {
        "Merge the responses": {
          "main": [
            [
              {
                "node": "Aggregate the responses",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Review Data Extractor": {
          "main": [
            [
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                "node": "Merge the responses",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Aggregate the responses": {
          "main": [
            [
              {
                "node": "Google Sheets",
                "type": "main",
                "index": 0
              },
              {
                "node": "Initiate a Webhook Notification for the Structured Data",
                "type": "main",
                "index": 0
              },
              {
                "node": "Create a binary data for Structured Data Extract",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Structured Data Extractor": {
          "main": [
            [
              {
                "node": "Merge the responses",
                "type": "main",
                "index": 1
              }
            ]
          ]
        },
        "Set URL and Bright Data Zone": {
          "main": [
            [
              {
                "node": "Perform Bright Data Web Request",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Perform Bright Data Web Request": {
          "main": [
            [
              {
                "node": "Markdown to Textual Data Extractor",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "When clicking ‘Test workflow’": {
          "main": [
            [
              {
                "node": "Set URL and Bright Data Zone",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Markdown to Textual Data Extractor": {
          "main": [
            [
              {
                "node": "Review Data Extractor",
                "type": "main",
                "index": 0
              },
              {
                "node": "Structured Data Extractor",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model for Structured Data": {
          "ai_languageModel": [
            [
              {
                "node": "Structured Data Extractor",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model for Markdown to Textual": {
          "ai_languageModel": [
            [
              {
                "node": "Markdown to Textual Data Extractor",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "OpenAI Chat Model for Review Data Extractor": {
          "ai_languageModel": [
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              {
                "node": "Review Data Extractor",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "Create a binary data for Structured Data Extract": {
          "main": [
            [
              {
                "node": "Write the structured content to disk",
                "type": "main",
                "index": 0
              }
            ]
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      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 19,
      "nodeTypes": {
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        },
        "n8n-nodes-base.merge": {
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        "n8n-nodes-base.aggregate": {
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        },
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        },
        "n8n-nodes-base.readWriteFile": {
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        },
        "@n8n/n8n-nodes-langchain.chainLlm": {
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    },
    "status": "published",
    "user": {
      "name": "Ranjan Dailata",
      "username": "ranjancse",
      "bio": "A Professional based out of India specialized in handling AI-powered automations. Contact me at ranjancse@gmail.com ",
      "verified": true,
      "links": [
        "https://www.linkedin.com/in/ranjan-dailata/"
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        "name": "AI Summarization"
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        "url": "https://n8niostorageaccount.blob.core.windows.net/n8nio-strapi-blobs-prod/assets/Header_Authentication_2469285c5c.png"
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}