LinkedIn個人向けICPスコアリングの自動化（AirtopとGoogle Sheets）

• •Google Sheets API認証情報

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        "url": "={{ $json['Linkedin_URL_Person'] }}",
        "prompt": "Please extract the following information from the LinkedIn profile page:\n\n1. **Full Name**: Extract the full name of the individual.\n2. **Current or Most Recent Job Title**: Identify the job title next to the logo of the current or last employer.\n3a. **Current or Most Recent Employer**: Extract the name of the first company in the employment experience block. \n3b. Linkedin Company URL of the Current or Most Recent Employer: Extract the link of the first company in the employment experience block\n4. **Location**: Extract the location of the individual.\n5. **Number of Connections**: Extract the number of connections the individual has.\n6. **Number of Followers**: Extract the number of followers the individual has.\n7. **About Section Text**: Extract the text from the 'About' section.\n8. **Interest Level in AI**: Determine the person's interest level in AI (e.g., beginner, intermediate, advanced, expert).\n9. **Seniority Level**: Determine the seniority level of the person (e.g., junior, mid-level, senior, executive).\n10. **Technical Depth**: Determine the technical depth of the person (e.g., basic, intermediate, advanced, expert).\n11. **ICP Score**: Calculate the ICP Score based on the following criteria:\n    - AI Interest: beginner-5 pts, intermediate-10 pts, advanced-25 pts, expert-35 pts\n    - Technical Depth: basic-5 pts, intermediate-15 pts, advanced-25 pts, expert-35 pts\n    - Seniority Level: junior-5 pts, mid-level-15 pts, senior-25 pts, executive-30 pts\n    - Sum the points to get the ICP Score.\n\nEnsure that the extracted information is accurate and formatted according to the specified output schema.\n\nFor example, if the LinkedIn profile is of a senior software engineer with a strong interest in AI, return the following output:\n{\n  \"full_name\": \"Jane Doe\",\n  \"current_or_last_employer\": \"Tech Innovations Inc.\",\n  \"current_or_last_title\": \"Senior Software Engineer\",\n  \"location\": \"San Francisco, CA\",\n  \"number_of_connections\": 500,\n  \"number_of_followers\": 300,\n  \"about_section_text\": \"Experienced software engineer with a passion for developing innovative programs that expedite the efficiency and effectiveness of organizational success.\",\n  \"ai_interest_level\": \"advanced\",\n  \"seniority_level\": \"senior\",\n  \"technical_depth\": \"advanced\",\n  \"icp_score\": 85\n}\n",
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        }
      },
      "typeVersion": 1
    },
    {
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      "name": "レスポンス整形",
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      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "const row_number = $('Get person').item.json.row_number\nconst Linkedin_URL_Person = $('Get person').item.json.Linkedin_URL_Person\nconst ICP_Score_Person = JSON.parse($input.item.json.data.modelResponse).icp_score\n\nreturn { json: {\n  row_number,\n  Linkedin_URL_Person,\n  ICP_Score_Person\n}};"
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      "name": "行更新",
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        "columns": {
          "value": {},
          "schema": [
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              "id": "Linkedin_URL_Person",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Linkedin_URL_Person",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
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              "required": false,
              "displayName": "ICP_Score_Person",
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              "canBeUsedToMatch": true
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          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "update",
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": "gid=0",
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1WC_awgb-Ohtb0f4o_OJgRcvunTLuS8kFQgk6l8fkR2Q/edit#gid=0",
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          "cachedResultName": "ICP Score for Template"
        }
      },
      "typeVersion": 4.5
    },
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      "name": "人物情報取得",
      "type": "n8n-nodes-base.googleSheets",
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