連絡先情報の充実

上級

これはLead Generation, AI Summarization分野の自動化ワークフローで、24個のノードを含みます。主にIf, Set, Code, Sort, Limitなどのノードを使用。 HubSpot用の、Apollo・LinkedIn・GPT-4oを基にした完全なコンタクト enrichment

前提条件
  • HubSpot API Key
  • ターゲットAPIの認証情報が必要な場合あり
  • 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
{
  "id": "t7e4sQzh96e0xaq7",
  "meta": {
    "instanceId": "219ad8a5631572c9ac16d4e2fec49250f591e94570ab0858fd2013d005c6d5c6",
    "templateCredsSetupCompleted": true
  },
  "name": "contact enrichment",
  "tags": [
    {
      "id": "0zTM91F1nQEHLKzN",
      "name": "template_upload",
      "createdAt": "2025-07-17T15:01:40.334Z",
      "updatedAt": "2025-07-17T15:01:40.334Z"
    }
  ],
  "nodes": [
    {
      "id": "dbf704c3-2b0e-4158-b5d8-ca1d138d141a",
      "name": "別ワークフロー実行時",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        -336,
        752
      ],
      "parameters": {
        "workflowInputs": {
          "values": [
            {
              "name": "name"
            },
            {
              "name": "email"
            }
          ]
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "747be8f0-cf2b-412d-b7a9-93051ff0a11b",
      "name": "Apolloでエンリッチ",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        128,
        752
      ],
      "parameters": {
        "url": "https://api.apollo.io/api/v1/people/match",
        "method": "POST",
        "options": {},
        "sendQuery": true,
        "sendHeaders": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "reveal_personal_emails",
              "value": "false"
            },
            {
              "name": "reveal_phone_number",
              "value": "false"
            },
            {
              "name": "email",
              "value": "={{ $json.email }}"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "Cache-Control",
              "value": "no-cache"
            },
            {
              "name": "accept",
              "value": "application/json"
            },
            {
              "name": "x-api-key",
              "value": "YOUR-API-KEY"
            }
          ]
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3630169c-2677-4124-a19b-f9d1a2bfdcce",
      "name": "見つかった?",
      "type": "n8n-nodes-base.if",
      "position": [
        352,
        752
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "8037609c-e921-4ef9-9d34-375a6bd471ad",
              "operator": {
                "type": "string",
                "operation": "exists",
                "singleValue": true
              },
              "leftValue": "={{ $json.person && ($json.person.name || $json.person.email) }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "00a26c55-aa97-4255-b002-cb77bc1a8780",
      "name": "HubSpot1でエンリッチ",
      "type": "n8n-nodes-base.hubspot",
      "position": [
        3168,
        752
      ],
      "parameters": {
        "email": "={{ $json.output.email }}",
        "options": {},
        "authentication": "oAuth2",
        "additionalFields": {
          "city": "={{ $json.output.city }}",
          "country": "={{ $json.output.country_region }}",
          "jobTitle": "={{ $json.output.job_title }}",
          "customPropertiesUi": {
            "customPropertiesValues": [
              {
                "value": "={{ $json.output.linkedin_url }}",
                "property": "linkedin_account"
              },
              {
                "value": "={{ $json.output.experience_summary }}",
                "property": "experience_summary"
              },
              {
                "value": "={{ $json.output.education_summary }}",
                "property": "education_summary"
              },
              {
                "value": "={{ Math.floor(Date.now() / 86400000) * 86400000 }}",
                "property": "last_enrichment_date"
              },
              {
                "value": "={{ $json.output.recent_linkedin_activity }}",
                "property": "recent_linkedin_posts"
              }
            ]
          }
        }
      },
      "credentials": {
        "hubspotOAuth2Api": {
          "id": "DAzRcQP1uXfOKZuC",
          "name": "HubSpot account"
        }
      },
      "retryOnFail": true,
      "typeVersion": 2.1
    },
    {
      "id": "01dd3096-dcb3-4e0d-97ac-581a7d08b55f",
      "name": "自動修正出力パーサー2",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
      "position": [
        2672,
        912
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "b819ac28-783c-49d5-8125-fb824fd30661",
      "name": "構造化出力パーサー2",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        2832,
        1040
      ],
      "parameters": {
        "jsonSchemaExample": "{\n  \"email\": \"testuser1@companydomain.com\",\n  \"linkedin_url\": \"http://www.linkedin.com/in/testuser1\",\n  \"job_title\": \"CEO & Co-Founder\",\n  \"city\": \"Denver\",\n  \"state\": \"Colorado\",\n  \"country_region\": \"United States\",\n  \"experience_summary\": \"User experience content\",\n  \"education_summary\": \"Education Level content\",\n  \"recent_linkedin_activity\": \"• Posted about winning 82 % of competitive deals and key sales mantras (6 hours ago)\\n• Shared guidance on setting realistic expectations for a new VP Sales’ impact (1 day ago)\"\n}"
      },
      "typeVersion": 1.2
    },
    {
      "id": "06391ddf-2071-4b80-86ad-85c922ae33c8",
      "name": "OpenAI チャットモデル5",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        2672,
        1040
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "HH848Gw8QSS5TUKW",
          "name": "OpenAi"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "3aa928c0-6f12-4f5c-9acb-018b0b87667e",
      "name": "エンリッチメント要約エージェント",
      "type": "@n8n/n8n-nodes-langchain.chainLlm",
      "position": [
        2528,
        752
      ],
      "parameters": {
        "text": "=Here’s the person data to enrich for CRM: \n{{ JSON.stringify($json, null, 2) }}\n\nHere's the recent activity to summarize for the CRM:\n{{ $json.recent_activity }}",
        "messages": {
          "messageValues": [
            {
              "message": "=# Overview\nYou are “HubSpot-Enrichment-Agent”, a data-cleaning assistant that converts messy person JSON enrichment data into concise, human-friendly fields ready to upsert into HubSpot. \n\n## OBJECTIVE\nReturn **one** JSON object with exactly these keys:\n\n{\n  \"email\": string|null,\n  \"linkedin_url\": string|null,\n  \"job_title\": string|null, // title at the company that matches the email domain\n  \"city\": string|null,\n  \"state\": string|null,\n  \"country_region\": string|null,\n  \"experience_summary\": string|null, // 3-4 recent roles, bullet list, newest → oldest\n  \"education_summary\": string|null, // highest degree(s) & institution(s), 1-2 lines\n  \"recent_linkedin_activity\": string|null\n}\n\n## RULES & LOGIC\n\n1. **Email, LinkedIn URL, City, Country/Region**  \n   *Pass through directly if present; else `null`.*\n\n2. **Job Title (relevant)**  \n   - Use the employment record whose `organization_name` (or website) shares the **same email domain** as `email`.  \n   - If no domain match, pick the most recent item where `current == true`.  \n   - Strip membership-only titles (“Member”, “Angel Investor”) unless no better option exists.\n\n3. **Experience Summary**  \n   - Sort `employment_history` by `start_date` DESC.  \n   - Select the first **3–4** roles that are either `current == true` _or_ have an `end_date` within the last 10 years.  \n   - Format each as:  \n     `• <Title>, <Org> — <YYYY-start> → <\"Present\" | YYYY-end>`  \n   - Join with line breaks.  Return `null` if list is empty.\n\n4. **Education Summary**  \n   - Look for the highest‐level degree (Doctorate > MBA/Master’s > Bachelor’s > Associate > Other).  \n   - Summarise as:  \n     `<Degree>, <Institution> (<YYYY-end>)`.  \n   - If multiple relevant degrees, include up to two lines.  \n   - If no education data, return `null`.\n\n5. **Recent LinkedIn Activity**  \n   - If a `recent_activity` or similar field exists, pull the latest **1-3** public posts or updates.  \n   - Summarise in plain text, e.g.,  \n     `“Commented on procurement AI article” (3 days ago)`  \n   - If no activity data, set to `null`. Do NOT make up activity.\n\n6. **Null handling**  \n   - Any missing or empty field **must** be literal `null` (not empty string).\n\n7. **Output style**  \n   - Pure JSON, no markdown.  \n   - No additional keys, comments, or nested objects.\n\n## Grammar and Punctuation\n  - ensure that your output is cleanly formatted for readiness to import into CRM, including removing uneceesary spaces or other symbols and capitalizing names. (e.g., \"sales director\" should become \"Sales Director\")\n\nReturn only that final JSON. Example output:\n{\n  \"email\": \"dustin.c@gatekeeperhq.com\",\n  \"linkedin_url\": \"https://www.linkedin.com/in/dustinclinard\",\n  \"job_title\": \"Chief Revenue Officer (CRO)\",\n  \"city\": \"Concord\",\n  \"country_region\": \"United States\",\n  \"experience_summary\": \"• Chief Revenue Officer, Gatekeeper — 2024 → Present\\n• Founding Member, Revenue Collective — 2019 → Present\\n• Member, Partnership Leaders — 2020 → Present\\n• Founder & Growth Consultant, Sales Growth Musings — 2016 → Present\",\n  \"education_summary\": null,\n  \"recent_linkedin_activity\": null\n}"
            }
          ]
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 1.6
    },
    {
      "id": "f3d84acb-fe43-4d14-ab74-97a0e5a336a7",
      "name": "付箋",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        48,
        592
      ],
      "parameters": {
        "color": 5,
        "width": 260,
        "height": 400,
        "content": "## Enrich with Apollo"
      },
      "typeVersion": 1
    },
    {
      "id": "8f9f9c6c-e9b9-4502-97a2-b4bf3c5a396c",
      "name": "付箋2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2448,
        608
      ],
      "parameters": {
        "color": 4,
        "width": 540,
        "height": 620,
        "content": "## Summarize enrichment data\nEnsure it's clean and matches our CRM needs"
      },
      "typeVersion": 1
    },
    {
      "id": "9cc13aca-f660-470f-addb-f17f51f725e7",
      "name": "付箋3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        3104,
        608
      ],
      "parameters": {
        "color": 5,
        "width": 260,
        "height": 400,
        "content": "## Enrich HubSpot"
      },
      "typeVersion": 1
    },
    {
      "id": "6c4e7437-9a58-4aad-956c-268bb23920e8",
      "name": "マージ",
      "type": "n8n-nodes-base.merge",
      "position": [
        2048,
        752
      ],
      "parameters": {
        "mode": "combine",
        "options": {
          "includeUnpaired": true
        },
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3.1
    },
    {
      "id": "5f3436aa-94d0-46f9-83fd-e60726b8821c",
      "name": "OpenAI チャットモデル6",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        2512,
        912
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "o3",
          "cachedResultName": "o3"
        },
        "options": {
          "responseFormat": "json_object"
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "HH848Gw8QSS5TUKW",
          "name": "OpenAi"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "624d158e-08bc-42df-add7-9462b39cb8de",
      "name": "最近の投稿を取得",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        832,
        912
      ],
      "parameters": {
        "url": "https://fresh-linkedin-profile-data.p.rapidapi.com/get-profile-posts",
        "options": {},
        "sendQuery": true,
        "sendHeaders": true,
        "queryParameters": {
          "parameters": [
            {
              "name": "linkedin_url",
              "value": "={{ $json.person.linkedin_url }}"
            },
            {
              "name": "type",
              "value": "posts"
            }
          ]
        },
        "headerParameters": {
          "parameters": [
            {
              "name": "x-rapidapi-host",
              "value": "fresh-linkedin-profile-data.p.rapidapi.com"
            },
            {
              "name": "x-rapidapi-key",
              "value": "<YOUR API KEY>"
            }
          ]
        }
      },
      "retryOnFail": true,
      "typeVersion": 4.2,
      "alwaysOutputData": true
    },
    {
      "id": "45dfddb1-ad00-419b-8309-e91de878989d",
      "name": "分割",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1040,
        912
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "data"
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "6b392b08-3dff-4201-ba66-a979ac7d301a",
      "name": "リシェアと古い投稿を除外",
      "type": "n8n-nodes-base.filter",
      "position": [
        1264,
        912
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "loose"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "44e79a7e-7ec9-4724-a53b-3e647b6a629a",
              "operator": {
                "type": "boolean",
                "operation": "false",
                "singleValue": true
              },
              "leftValue": "={{ $json.reshared }}",
              "rightValue": ""
            },
            {
              "id": "8da29df1-cbfb-42cd-a85f-62b2b4647802",
              "operator": {
                "type": "dateTime",
                "operation": "afterOrEquals"
              },
              "leftValue": "={{ $json.posted }}",
              "rightValue": "={{$now.minus({ days: 30 }).toISO()}}"
            }
          ]
        },
        "looseTypeValidation": true
      },
      "typeVersion": 2.2,
      "alwaysOutputData": true
    },
    {
      "id": "466bbf0f-54e8-4c2c-9637-f70925329b72",
      "name": "3件に制限",
      "type": "n8n-nodes-base.limit",
      "position": [
        1680,
        912
      ],
      "parameters": {
        "maxItems": 3
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "fa0bd77e-310e-4a64-83c9-c4f3b0fddb7a",
      "name": "投稿日でソート",
      "type": "n8n-nodes-base.sort",
      "position": [
        1488,
        912
      ],
      "parameters": {
        "options": {},
        "sortFieldsUi": {
          "sortField": [
            {
              "order": "descending",
              "fieldName": "posted"
            }
          ]
        }
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "b45d1bb7-5a3f-43f6-ae9c-7a912e3b1114",
      "name": "集約",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        1904,
        912
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData"
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "c0e75ad6-08db-4bda-9c69-4067adcc4951",
      "name": "アイテムをループ処理",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        624,
        784
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3,
      "alwaysOutputData": false
    },
    {
      "id": "69bd14dd-f6d8-4220-ba6b-dd17d2d1ea8b",
      "name": "フィールドを抽出",
      "type": "n8n-nodes-base.set",
      "position": [
        2272,
        752
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "19c926c1-da4e-44e2-abce-6d7d172cb0bb",
              "name": "person_data",
              "type": "string",
              "value": "={{ $json.person }}"
            },
            {
              "id": "62615717-7bc7-44c4-9304-7177dfcf3ee8",
              "name": "recent_activity",
              "type": "string",
              "value": "={{ $json.data }}"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "5b9ce241-42a6-468a-be87-2462248836af",
      "name": "付箋5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        768,
        848
      ],
      "parameters": {
        "color": 5,
        "width": 1260,
        "height": 220,
        "content": "## Grab Recent LinkedIn Posts"
      },
      "typeVersion": 1
    },
    {
      "id": "f76caacf-bf40-4aa7-b48c-60ebf9c772a8",
      "name": "クリーン",
      "type": "n8n-nodes-base.code",
      "position": [
        -128,
        752
      ],
      "parameters": {
        "jsCode": "/**********************************************************************\n *  Deduplicate contacts by email & drop empties\n *  Input:  items[] (each item = { json: { … } })\n *  Output: one item per unique, non-empty email\n **********************************************************************/\nconst normEmail = e => (typeof e === 'string' ? e.trim().toLowerCase() : '');\n\nconst seen  = new Set();\nconst clean = [];\n\nfor (const itm of items) {\n  // Handle both flat and nested structures\n  const data   = itm.json.output ?? itm.json;   // supports {output:{…}} too\n  const email  = normEmail(data.email);\n\n  if (!email || seen.has(email)) continue;      // skip blanks & dupes\n\n  seen.add(email);\n  clean.push({\n    json: {\n      name:  data.name  ?? null,\n      email // already normalised\n    }\n  });\n}\n\nreturn clean;"
      },
      "typeVersion": 2
    },
    {
      "id": "e95c04cb-b9e3-433d-b510-77e1b9b7abf2",
      "name": "付箋1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1632,
        848
      ],
      "parameters": {
        "height": 208,
        "content": "Decide how many posts you want to analyse"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {
    "When Executed by Another Workflow": [
      {
        "json": {
          "name": "People of intereset 1",
          "email": "test@companymail.com"
        }
      },
      {
        "json": {
          "name": "People of intereset 2",
          "email": "test2@companymail.com"
        }
      }
    ]
  },
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "ad6478e5-597d-450d-ab64-d506159731f2",
  "connections": {
    "6c4e7437-9a58-4aad-956c-268bb23920e8": {
      "main": [
        [
          {
            "node": "69bd14dd-f6d8-4220-ba6b-dd17d2d1ea8b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f76caacf-bf40-4aa7-b48c-60ebf9c772a8": {
      "main": [
        [
          {
            "node": "747be8f0-cf2b-412d-b7a9-93051ff0a11b",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "3630169c-2677-4124-a19b-f9d1a2bfdcce": {
      "main": [
        [
          {
            "node": "6c4e7437-9a58-4aad-956c-268bb23920e8",
            "type": "main",
            "index": 0
          },
          {
            "node": "c0e75ad6-08db-4bda-9c69-4067adcc4951",
            "type": "main",
            "index": 0
          }
        ],
        []
      ]
    },
    "b45d1bb7-5a3f-43f6-ae9c-7a912e3b1114": {
      "main": [
        [
          {
            "node": "c0e75ad6-08db-4bda-9c69-4067adcc4951",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "45dfddb1-ad00-419b-8309-e91de878989d": {
      "main": [
        [
          {
            "node": "6b392b08-3dff-4201-ba66-a979ac7d301a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "466bbf0f-54e8-4c2c-9637-f70925329b72": {
      "main": [
        [
          {
            "node": "b45d1bb7-5a3f-43f6-ae9c-7a912e3b1114",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "69bd14dd-f6d8-4220-ba6b-dd17d2d1ea8b": {
      "main": [
        [
          {
            "node": "3aa928c0-6f12-4f5c-9acb-018b0b87667e",
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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。

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上級 - リード獲得, AI要約

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ノード数24
カテゴリー2
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