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使用Bright Data和OpenAI的Crunchbase B2B潜在客户发现管道

高级

这是一个Sales, AI领域的自动化工作流,包含 21 个节点。主要使用 Set, Function, HttpRequest, GoogleSheets, ManualTrigger 等节点,结合人工智能技术实现智能自动化。 使用Bright Data、GPT-4o和Google Sheets从Crunchbase提取和总结B2B潜在客户

前置要求
  • 可能需要目标 API 的认证凭证
  • Google Sheets API 凭证
  • OpenAI API Key
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
  "id": "pexxaVEwqIYmTXud",
  "meta": {
    "instanceId": "885b4fb4a6a9c2cb5621429a7b972df0d05bb724c20ac7dac7171b62f1c7ef40",
    "templateCredsSetupCompleted": true
  },
  "name": "使用 Bright Data 和 OpenAI 的 Crunchbase B2B 潜在客户发现管道",
  "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"
    },
    {
      "id": "ddPkw7Hg5dZhQu2w",
      "name": "AI",
      "createdAt": "2025-04-13T05:38:08.053Z",
      "updatedAt": "2025-04-13T05:38:08.053Z"
    }
  ],
  "nodes": [
    {
      "id": "7ed032ae-3f0c-4666-be5f-fbe5acf109a6",
      "name": "当点击“测试工作流”时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1700,
        -80
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "592205af-c46a-45c3-8662-6bdae78b6465",
      "name": "设置 URL 和 Bright Data 区域",
      "type": "n8n-nodes-base.set",
      "position": [
        -1480,
        -80
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "3aedba66-f447-4d7a-93c0-8158c5e795f9",
              "name": "url",
              "type": "string",
              "value": "https://www.crunchbase.com/organization/stripe"
            },
            {
              "id": "4e7ee31d-da89-422f-8079-2ff2d357a0ba",
              "name": "zone",
              "type": "string",
              "value": "web_unlocker1"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "01126593-b23e-4a85-b09e-d6f10dac5a76",
      "name": "执行 Bright Data Web 请求",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -1260,
        -80
      ],
      "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": "kdbqXuxIR8qIxF7y",
          "name": "Header Auth account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "f716c1e6-0001-4cbf-a5a5-78509d02d55e",
      "name": "Markdown 到文本数据提取器",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -1040,
        -80
      ],
      "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": "5e54e7e9-b0d1-41a9-a828-f94c852b7b20",
      "name": "Google Sheets",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
        -220,
        80
      ],
      "parameters": {
        "columns": {
          "value": {},
          "schema": [
            {
              "id": "output",
              "type": "string",
              "display": true,
              "removed": false,
              "required": false,
              "displayName": "output",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "autoMapInputData",
          "matchingColumns": [
            "Structured Data"
          ],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "appendOrUpdate",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/15JBt1NjWELZVwcCAaD8B4JwjOojPf-HJ4D_F68etiOo/edit#gid=0",
          "cachedResultName": "Sheet1"
        },
        "documentId": {
          "__rl": true,
          "mode": "list",
          "value": "15JBt1NjWELZVwcCAaD8B4JwjOojPf-HJ4D_F68etiOo",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/15JBt1NjWELZVwcCAaD8B4JwjOojPf-HJ4D_F68etiOo/edit?usp=drivesdk",
          "cachedResultName": "B2B Discovery"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "Zjoxh2BUZ6VXGQhA",
          "name": "Google Sheets account"
        }
      },
      "typeVersion": 4.5
    },
    {
      "id": "f71f7108-7439-458d-80eb-1ca96c8f621a",
      "name": "结构化输出解析器",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        -400,
        500
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \"organization\": {\n    \"name\": \"string\",\n    \"about\": \"string\",\n    \"headquartersLocation\": \"string\",\n    \"headquartersRegions\": \"string\",\n    \"numberOfEmployees\": \"string\",\n    \"lastFundingType\": \"string\",\n    \"ipoStatus\": \"string\",\n    \"website\": \"string\",\n    \"cbRankCompany\": \"string\",\n    \"totalAcquisitions\": \"integer\",\n    \"totalInvestmentsMade\": \"integer\",\n    \"totalCrunchbaseContacts\": \"integer\",\n    \"totalEmployeeProfiles\": \"integer\",\n    \"industries\": [\"string\"],\n    \"foundedDate\": \"string\",\n    \"founders\": [\"string\"],\n    \"operatingStatus\": \"string\",\n    \"legalName\": \"string\",\n    \"relatedHubs\": [\"string\"],\n    \"hubTags\": [\"string\"],\n    \"companyType\": \"string\",\n    \"contactEmail\": \"string\",\n    \"phoneNumber\": \"string\",\n    \"recentNews\": [\n      {\n        \"date\": \"string\",\n        \"source\": \"string\",\n        \"title\": \"string\"\n      }\n    ],\n    \"productsAndServices\": [\n      {\n        \"productName\": \"string\",\n        \"productDescription\": \"string\"\n      }\n    ],\n    \"listsFeaturingThisCompany\": [\n      {\n        \"listName\": \"string\",\n        \"numberOfOrganizations\": \"string\",\n        \"totalFundingAmount\": \"string\",\n        \"numberOfInvestors\": \"string\"\n      }\n    ]\n  }\n}\n"
      },
      "typeVersion": 1.2
    },
    {
      "id": "3ec3c998-c674-45c8-bcbb-6a9e382e25aa",
      "name": "结构化数据提取器",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        -580,
        280
      ],
      "parameters": {
        "text": "=Extract the structured info from the below content.\n\nHere's the Content:  {{ $json.text }}",
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.6
    },
    {
      "id": "3a9d7bb0-e63a-454f-86f1-cf86379255b9",
      "name": "为摘要创建二进制数据",
      "type": "n8n-nodes-base.function",
      "position": [
        -220,
        -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": "029bb734-b422-43bb-96da-a8a47e22dc49",
      "name": "为结构化数据提取创建二进制数据",
      "type": "n8n-nodes-base.function",
      "position": [
        -220,
        280
      ],
      "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": "9e9cc726-9004-4ca0-bc0f-a20f7c2ed2a1",
      "name": "将摘要内容写入磁盘",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        0,
        -320
      ],
      "parameters": {
        "options": {},
        "fileName": "=d:\\Crunchbase-Summary.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "a9736eb9-8b01-40fd-b856-5a6311e007d3",
      "name": "将结构化内容写入磁盘",
      "type": "n8n-nodes-base.readWriteFile",
      "position": [
        0,
        280
      ],
      "parameters": {
        "options": {},
        "fileName": "=d:\\Crunchbase-Summary.json",
        "operation": "write"
      },
      "typeVersion": 1
    },
    {
      "id": "481b2c05-76c8-424f-9f7c-c172428dc865",
      "name": "为提取的数据发起 Webhook 通知",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        -220,
        480
      ],
      "parameters": {
        "url": "https://webhook.site/7b5380a0-0544-48dc-be43-0116cb2d52c2",
        "options": {},
        "sendBody": true,
        "bodyParameters": {
          "parameters": [
            {
              "name": "summary",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "0b94f3f7-5961-43c6-a092-19662581430d",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1720,
        -420
      ],
      "parameters": {
        "width": 400,
        "height": 300,
        "content": "## 说明"
      },
      "typeVersion": 1
    },
    {
      "id": "2bd7450f-9e3e-4df9-9a22-f6a5db2ea7bf",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1280,
        -420
      ],
      "parameters": {
        "width": 480,
        "height": 300,
        "content": "## LLM 使用情况"
      },
      "typeVersion": 1
    },
    {
      "id": "c5246dc6-ce52-45c2-886c-1898508f71d8",
      "name": "摘要内容",
      "type": "@n8n/n8n-nodes-langchain.chainSummarization",
      "position": [
        -600,
        -420
      ],
      "parameters": {
        "options": {},
        "chunkingMode": "advanced"
      },
      "typeVersion": 2
    },
    {
      "id": "388023f6-710b-468c-a7c3-593818cfa87c",
      "name": "便签2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -660,
        20
      ],
      "parameters": {
        "color": 6,
        "width": 860,
        "height": 660,
        "content": "## 结构化数据提取"
      },
      "typeVersion": 1
    },
    {
      "id": "38ccdc64-6d2f-4581-94d2-751095f39e48",
      "name": "便签3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -660,
        -520
      ],
      "parameters": {
        "color": 4,
        "width": 860,
        "height": 480,
        "content": "## 摘要"
      },
      "typeVersion": 1
    },
    {
      "id": "8e159838-7c02-4f54-b56a-885f5912a384",
      "name": "便签4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1720,
        -880
      ],
      "parameters": {
        "color": 7,
        "width": 400,
        "height": 400,
        "content": "## 徽标"
      },
      "typeVersion": 1
    },
    {
      "id": "f4541bbd-d1e8-430d-8ee1-aea78db73eb8",
      "name": "OpenAI 聊天模型",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1020,
        140
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "vPKynKbDzJ5ZU4cU",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "072ee9ed-f24a-4bf8-b23a-4d26d74ba6c8",
      "name": "OpenAI 聊天模型1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -560,
        -200
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "vPKynKbDzJ5ZU4cU",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "fa17f3f4-54cc-4e28-93ac-67c5d120a6da",
      "name": "OpenAI 聊天模型2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -580,
        480
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "vPKynKbDzJ5ZU4cU",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "675b44fd-e258-4f63-9d6b-c40a25c3bf19",
  "connections": {
    "Google Sheets": {
      "main": [
        []
      ]
    },
    "OpenAI Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "Markdown to Textual Data Extractor",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Summarize the content",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "Structured Data Extractor",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Summarize the content": {
      "main": [
        [
          {
            "node": "Create a binary data for Summarization",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Structured Output Parser": {
      "ai_outputParser": [
        [
          {
            "node": "Structured Data Extractor",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    },
    "Structured Data Extractor": {
      "main": [
        [
          {
            "node": "Google Sheets",
            "type": "main",
            "index": 0
          },
          {
            "node": "Create a binary data for Structured Data Extract",
            "type": "main",
            "index": 0
          },
          {
            "node": "Initiate a Webhook Notification for the extracted data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "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": "Summarize the content",
            "type": "main",
            "index": 0
          },
          {
            "node": "Structured Data Extractor",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create a binary data for Summarization": {
      "main": [
        [
          {
            "node": "Write the summarized content to disk",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create a binary data for Structured Data Extract": {
      "main": [
        [
          {
            "node": "Write the structured content to disk",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流?

复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景?

高级 - 销售, 人工智能

需要付费吗?

本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。

工作流信息
难度等级
高级
节点数量21
分类2
节点类型11
难度说明

适合高级用户,包含 16+ 个节点的复杂工作流

作者
Ranjan Dailata

Ranjan Dailata

@ranjancse

A Human Agent based out of India specialized in handling AI-powered automations. For business enquiries, send me an email at ranjancse@gmail.com LinkedIn: [https://www.linkedin.com/in/ranjan-dailata/](https://www.linkedin.com/in/ranjan-dailata/)

外部链接
在 n8n.io 查看

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