不動産業者と Bright Data でご自身のホームを探す

中級

これはAI, Marketing分野の自動化ワークフローで、11個のノードを含みます。主にIf, Wait, Agent, BrightData, BrightDataToolなどのノードを使用、AI技術を活用したスマート自動化を実現。 不動産業者とBright Dataでご自宅を探す

前提条件
  • OpenAI API Key
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
  "meta": {
    "instanceId": "b1f85eae352fde76d801a1a612661df6824cc2e68bfd6741e31305160a737e6e",
    "templateCredsSetupCompleted": true
  },
  "nodes": [
    {
      "id": "d9e07286-a8be-4c28-8519-acf7cd35ad86",
      "name": "チャットメッセージ受信時",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -900,
        -40
      ],
      "webhookId": "57251efe-e57c-43e2-ac58-bf27f1ec639d",
      "parameters": {
        "public": true,
        "options": {
          "showWelcomeScreen": true
        },
        "initialMessages": "Hi there! 👋\n\nMy name is Miquel and I am your personal Real Estate agent. I help you to find your new home.\n\nWhat are you looking for?"
      },
      "typeVersion": 1.1
    },
    {
      "id": "7ca48714-3c65-4f32-9491-7b7b621aaa00",
      "name": "Simple Memory1",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        -420,
        140
      ],
      "parameters": {
        "contextWindowLength": 30
      },
      "typeVersion": 1.3
    },
    {
      "id": "79bea812-5a33-40a1-aa74-fe202d39dded",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -580,
        140
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "oKzfvOwieOm4upQ2",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "30ef3cfc-56db-4092-af0d-304afdad94f0",
      "name": "データセットをフィルタ",
      "type": "n8n-nodes-brightdata.brightDataTool",
      "position": [
        -260,
        140
      ],
      "parameters": {
        "resource": "marketplaceDataset",
        "operation": "filterDataset",
        "dataset_id": {
          "__rl": true,
          "mode": "list",
          "value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Dataset', ``, 'string') }}"
        },
        "filter_type": "filters_group",
        "filters_group": "={{ $fromAI('Filters_Group') }}",
        "records_limit": "=3",
        "descriptionType": "manual",
        "toolDescription": "Create a dataset snapshot based on a provided filter in BrightData. use always filter homeStatus = FOR_SALE. We have the next operators: =, >, >=, in, <, <=, not_array_includes, !=, not_in, not_includes\n\nFilter must follow the next format:\n{\n    \"operator\": \"and\",\n    \"filters\": [\n        {\n            \"name\": \"homeStatus\",\n            \"operator\": \"=\",\n            \"value\": \"FOR_SALE\"\n        },\n        {\n            \"name\": \"price\",\n            \"operator\": \"=\",\n            \"value\": 1000000\n        },\n        {\n            \"name\": \"city\",\n            \"operator\": \"=\",\n            \"value\": \"new york\"\n        },\n        {\n            \"name\": \"bathrooms\",\n            \"operator\": \"=\",\n            \"value\": 2\n        },\n        {\n            \"name\": \"bedrooms\",\n            \"operator\": \"=\",\n            \"value\": 4\n        }\n    ]\n}"
      },
      "credentials": {
        "brightdataApi": {
          "id": "jk945kIuAFAo9bcg",
          "name": "BrightData account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "6c4c4338-e4d2-40ee-89c0-89e1dd1dc330",
      "name": "別ワークフローから実行時",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        -660,
        -340
      ],
      "parameters": {
        "inputSource": "passthrough"
      },
      "typeVersion": 1.1
    },
    {
      "id": "9db2680e-8bad-4b91-9cd6-8240f53081a0",
      "name": "スナップショット準備完了?",
      "type": "n8n-nodes-base.if",
      "position": [
        -120,
        -340
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "or",
          "conditions": [
            {
              "id": "3e99082f-412a-4e33-ab77-c99ddd4d7ff5",
              "operator": {
                "type": "string",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "={{ $json.items[0].abbreviatedAddress }}",
              "rightValue": "NodeApiError"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "75f66a3a-7738-4a1c-af8a-29385ad41749",
      "name": "待機",
      "type": "n8n-nodes-base.wait",
      "position": [
        100,
        -260
      ],
      "webhookId": "7d5607bb-7cbd-439e-a95e-dfe326486b74",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "19beba9e-6089-443f-a384-4be3ec821423",
      "name": "不動産AIエージェント",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -460,
        -40
      ],
      "parameters": {
        "text": "={{ $json.chatInput }}",
        "options": {
          "maxIterations": 10,
          "systemMessage": "=You are an expert AI Real Estate Agent.\n\nFollow the next guidelines always:\n\n1) If you have no memory, recover the metadata from the next databases:\n- Zillow properties listing information gd_lfqkr8wm13ixtbd8f5\nWe have the next filters:\n- city: City name where entity is located. Contains valid US city names as text strings.\n- bedrooms: Column stores the number of bedrooms in properties. Values are positive integers ranging from 1 to 7, with most properties having 2-4 bedrooms and no null values.\n- bathrooms: Number of bathrooms in residential properties. Values are positive integers ranging from 1 to 7, with most properties having 2-3 bathrooms and no null values.\n- price: Property price in US dollars. Format sample: 180,000\n\nInform user that only 3 houses will be reported.\nOnly call filterDataset if user completes city, bedrooms, bathrooms and price filters.\n\n2) Use filterDataset to generate a snapshot of the requested houses by mapping filter of the user.\nOnly allow one call to tool \"Filter Dataset\", \n\n3) After calling \"filter Dataset\" tool, use tool \"Get Snapshot Content\". Pass snapshot_id parameter.\n\n4) Use output from tool \"Get Snapshot Content\" to convert json to a list of properties with ul > li\nuse returned images to present home briefing"
        },
        "promptType": "define"
      },
      "typeVersion": 1.9
    },
    {
      "id": "679e5b92-7b52-4230-a395-f3840d167756",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -960,
        -600
      ],
      "parameters": {
        "width": 1260,
        "height": 880,
        "content": "# Real Estate AI Agent with Bright Data\n\n## TODO\n- After pasting this workflow, update node \"Get Snapshot Content\" tool and add current Workflow ID (for instance, if your workflow in n8n has the next url https://n8n-ai.cr.vps2.clients.killia.com/workflow/fjEIEQ1L6n2IKqlx your workflow Id is fjEIEQ1L6n2IKqlx).\n- Add your Bright Data api key to \"Filter Dataset\" tool and \"Recover Snapshot Content\" node."
      },
      "typeVersion": 1
    },
    {
      "id": "118c60c3-3a46-4ca2-be84-997218949bde",
      "name": "スナップショット内容を復元",
      "type": "n8n-nodes-brightdata.brightData",
      "position": [
        -340,
        -340
      ],
      "parameters": {
        "resource": "marketplaceDataset",
        "operation": "getSnapshotContent",
        "snapshot_id": "={{ $('When Executed by Another Workflow').item.json.query }}"
      },
      "credentials": {
        "brightdataApi": {
          "id": "jk945kIuAFAo9bcg",
          "name": "BrightData account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5cc00806-6995-4d82-a832-f3159a66e31a",
      "name": "スナップショット内容を取得",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "position": [
        -100,
        140
      ],
      "parameters": {
        "workflowId": {
          "__rl": true,
          "mode": "id",
          "value": "Ky9jD15PJgT7PIgP"
        },
        "workflowInputs": {
          "value": {},
          "schema": [],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        }
      },
      "typeVersion": 2.2
    }
  ],
  "pinData": {},
  "connections": {
    "75f66a3a-7738-4a1c-af8a-29385ad41749": {
      "main": [
        [
          {
            "node": "118c60c3-3a46-4ca2-be84-997218949bde",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "30ef3cfc-56db-4092-af0d-304afdad94f0": {
      "ai_tool": [
        [
          {
            "node": "19beba9e-6089-443f-a384-4be3ec821423",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "7ca48714-3c65-4f32-9491-7b7b621aaa00": {
      "ai_memory": [
        [
          {
            "node": "19beba9e-6089-443f-a384-4be3ec821423",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "79bea812-5a33-40a1-aa74-fe202d39dded": {
      "ai_languageModel": [
        [
          {
            "node": "19beba9e-6089-443f-a384-4be3ec821423",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "9db2680e-8bad-4b91-9cd6-8240f53081a0": {
      "main": [
        [],
        [
          {
            "node": "75f66a3a-7738-4a1c-af8a-29385ad41749",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "5cc00806-6995-4d82-a832-f3159a66e31a": {
      "ai_tool": [
        [
          {
            "node": "19beba9e-6089-443f-a384-4be3ec821423",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "118c60c3-3a46-4ca2-be84-997218949bde": {
      "main": [
        [
          {
            "node": "9db2680e-8bad-4b91-9cd6-8240f53081a0",
            "type": "main",
            "index": 0
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        ]
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    },
    "d9e07286-a8be-4c28-8519-acf7cd35ad86": {
      "main": [
        [
          {
            "node": "19beba9e-6089-443f-a384-4be3ec821423",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "6c4c4338-e4d2-40ee-89c0-89e1dd1dc330": {
      "main": [
        [
          {
            "node": "118c60c3-3a46-4ca2-be84-997218949bde",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
よくある質問

このワークフローの使い方は?

上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。

このワークフローはどんな場面に適していますか?

中級 - 人工知能, マーケティング

有料ですか?

このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。

ワークフロー情報
難易度
中級
ノード数11
カテゴリー2
ノードタイプ11
難易度説明

経験者向け、6-15ノードの中程度の複雑さのワークフロー

作成者
Miquel Colomer

Miquel Colomer

@mcolomer

As a passionate developer and AI agent creator, I’ve been at the forefront of automation, pioneering workflows and training AI to handle complex tasks seamlessly. I’m an early adopter and expert of n8n, having worked with its powerful capabilities to create automation solutions for diverse industries. I founded n8nhackers, the first AI-powered agency focused on n8n, where we help businesses transform their workflows with cutting-edge automation.

外部リンク
n8n.ioで表示

このワークフローを共有

カテゴリー

カテゴリー: 34