HDW CRMデータのデータ補完

上級

これはSales, AI分野の自動化ワークフローで、42個のノードを含みます。主にIf, Hubspot, HubspotTool, PipedriveTool, HubspotTrigger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。 LinkedInプロファイルを使ってGPTと複数のCRMを活用して、PipedriveのCRM連絡先データを豊富にする

前提条件
  • HubSpot API Key
  • LinkedIn API認証情報
  • OpenAI API Key

カテゴリー

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": "reF98YdsmqqRYRfs",
  "meta": {
    "instanceId": "9bce59fa408e249dab636faffc5a13e5aa1a2e4af3383a551051e8bd22b2a1b9",
    "templateCredsSetupCompleted": true
  },
  "name": "HDW CRM Enrichment",
  "tags": [],
  "nodes": [
    {
      "id": "3c5a9019-48f6-4ec8-a375-65b312a5ca8b",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        20,
        300
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "DzKhX3E7SSLddnv4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "67d2d4a7-cf92-40b0-8f9d-5a9001f5a9d4",
      "name": "CRMから会社情報を取得",
      "type": "n8n-nodes-base.pipedriveTool",
      "onError": "continueRegularOutput",
      "position": [
        200,
        300
      ],
      "parameters": {
        "resource": "organization",
        "operation": "get",
        "organizationId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Organization_ID', `org_id`, 'number') }}",
        "descriptionType": "manual",
        "toolDescription": "Get information about company from CRM (name)"
      },
      "credentials": {
        "pipedriveApi": {
          "id": "Np1lpjHWyDnuQBzh",
          "name": "Pipedrive account"
        }
      },
      "typeVersion": 1,
      "alwaysOutputData": false
    },
    {
      "id": "517cb827-8581-417e-ad66-62ce48958d3c",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        40,
        960
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "DzKhX3E7SSLddnv4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "ccb4f7f2-15f7-41ae-a0c5-6f836956e32a",
      "name": "CRMから会社情報を取得1",
      "type": "n8n-nodes-base.pipedriveTool",
      "onError": "continueRegularOutput",
      "position": [
        220,
        960
      ],
      "parameters": {
        "resource": "organization",
        "operation": "get",
        "organizationId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Organization_ID', `org_id`, 'number') }}",
        "descriptionType": "manual",
        "toolDescription": "Get information about company from CRM (name)"
      },
      "credentials": {
        "pipedriveApi": {
          "id": "Np1lpjHWyDnuQBzh",
          "name": "Pipedrive account"
        }
      },
      "typeVersion": 1,
      "alwaysOutputData": false
    },
    {
      "id": "97df8c33-3cbd-4739-add2-07550ddd3d59",
      "name": "OpenAI Chat Model2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        340,
        1720
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "DzKhX3E7SSLddnv4",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "9ba0bf56-cefb-48a0-8133-111dd4199ddb",
      "name": "HubSpot Trigger",
      "type": "n8n-nodes-base.hubspotTrigger",
      "position": [
        -400,
        1380
      ],
      "webhookId": "f23339ab-755f-4730-b941-440a3aabd531",
      "parameters": {
        "eventsUi": {
          "eventValues": [
            {},
            {
              "name": "contact.propertyChange",
              "property": "need_enrichment"
            }
          ]
        },
        "additionalFields": {}
      },
      "credentials": {
        "hubspotDeveloperApi": {
          "id": "YoTxoBbdZ9jgzVZI",
          "name": "HubSpot Developer account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1601abfa-2d1f-4cf0-8e8b-272544adf088",
      "name": "If1",
      "type": "n8n-nodes-base.if",
      "position": [
        40,
        1380
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "07631805-59b3-4985-9bb1-e9d8bed4ba6c",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $('HubSpot Trigger').item.json.subscriptionType }}",
              "rightValue": "contact.creation"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "3782caf0-a426-40dd-b822-af718c00a143",
      "name": "If2",
      "type": "n8n-nodes-base.if",
      "position": [
        200,
        1520
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "8a2e7666-3353-426a-a52f-b25fcce4b6b1",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $('HubSpot Trigger').item.json.subscriptionType }}",
              "rightValue": "contact.propertyChange"
            },
            {
              "id": "98e06926-e30b-4ee5-b723-6acada900e43",
              "operator": {
                "name": "filter.operator.equals",
                "type": "string",
                "operation": "equals"
              },
              "leftValue": "={{ $json.properties.need_enrichment.value }}",
              "rightValue": "true"
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "65865367-746a-4e58-ad21-4b728bf1f22c",
      "name": "Pipedrive Trigger New Contact",
      "type": "n8n-nodes-base.pipedriveTrigger",
      "position": [
        -220,
        40
      ],
      "webhookId": "57f88f55-eaac-4545-8798-5c85b74de8aa",
      "parameters": {
        "action": "create",
        "entity": "person"
      },
      "credentials": {
        "pipedriveApi": {
          "id": "Np1lpjHWyDnuQBzh",
          "name": "Pipedrive account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "94a1a81e-8023-42ec-a607-9ad639dab6b1",
      "name": "データエンリッチメントAIエージェント",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        180,
        40
      ],
      "parameters": {
        "text": "=User data:\nemail - {{ $json.data.emails[0].value }}\nname - {{ $json.data.name }}\norganization id - {{ $json.data.org_id }}",
        "options": {
          "systemMessage": "# LinkedIn Data Enrichment Agent\n\nYou are an advanced data enrichment agent specialized in augmenting CRM records with LinkedIn profile data. Your purpose is to analyze incoming Pipedrive CRM person data, find matching LinkedIn profiles, extract valuable information, and update the CRM with enhanced professional insights.\n\n## Input Data Structure\nYou will receive a JSON array containing Pipedrive person data with the following structure:\n- Person's name, email, and other contact information\n- Custom fields and metadata\n- Timestamp and system information\n\n## Available Tools\n1. `get_linkedin_email_user` - Search for LinkedIn profiles by email address\n2. `get_organisation_info` - Get information about company from CRM\n3. `get_linkedin_user_posts` - Retrieve recent posts from a LinkedIn profile\n4. `get_linkedin_profile` - Get detailed information about a LinkedIn profile\n5. `update_pipedrive_data` - Update CRM data with LinkedIn insights\n6. `search_linkedin_users` - Search for profiles using parameters like name, title, location, company\n\n## Processing Algorithm\n1. SEARCH BY EMAIL: First, attempt to find the LinkedIn profile using the person's email address.\n2. ALTERNATIVE SEARCH: If no profile is found via email, Get company details from CRM  to get a company name and use available parameters (name, company, location) to search for potential matches. \n3. PROFILE DETAILS: Once a profile is found, retrieve comprehensive profile details.\n4. PROFILE SUMMARY: Create a concise, informative summary of the profile highlighting key professional information.\n5. POST RETRIEVAL: Obtain the person's recent LinkedIn posts.\n6. POST SUMMARY: Analyze posts to identify patterns, interests, and professional focus areas.\n7. CRM UPDATE: Update the Pipedrive record with:\n   - LinkedIn profile URL\n   - Profile summary\n   - Post activity summary\n\n## Output Requirements\nFor each profile processed, you must:\n1. Use structured, consistent data format for CRM updates\n2. Include relevant professional insights that could aid in business relationship development\n3. Format all summaries in clear, concise language\n4. Handle errors gracefully, documenting any profiles that could not be enriched\n\nAlways respect privacy and data protection standards throughout this process. Process each record thoroughly before moving to the next one."
        },
        "promptType": "define"
      },
      "typeVersion": 1.9
    },
    {
      "id": "1416e6a9-07b3-4ae0-89d9-a02d2210b263",
      "name": "HDW LinkedInプロファイルをメールで取得",
      "type": "n8n-nodes-hdw.hdwLinkedinTool",
      "position": [
        360,
        300
      ],
      "parameters": {
        "count": 1,
        "email": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Email', `user email`, 'string') }}",
        "resource": "email"
      },
      "credentials": {
        "hdwLinkedinApi": {
          "id": "ZT0V5HkxTZIlAkvE",
          "name": "HDW LinkedIn account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "0497e923-2172-460e-be39-a892f86bdc44",
      "name": "Pipedriveでデータを更新",
      "type": "n8n-nodes-base.pipedriveTool",
      "position": [
        520,
        300
      ],
      "parameters": {
        "personId": "={{ $('Pipedrive Trigger New Contact').item.json.data.id }}",
        "resource": "person",
        "operation": "update",
        "updateFields": {
          "customProperties": {
            "property": [
              {
                "name": "aaff6b5725bba77a29b560b3e9755c37795c8b02",
                "value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('property0_Property_Value', `User post summary`, 'string') }}"
              },
              {
                "name": "9e32b0cdeabbcb1cc9c60e0691b6a3c68c9ecbf3",
                "value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('property1_Property_Value', `linkedin profile url`, 'string') }}"
              },
              {
                "name": "16b938b8c25aff3ee2a0bcab7382ddf8785f9fc3",
                "value": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('property2_Property_Value', `profile summary`, 'string') }}"
              }
            ]
          }
        },
        "descriptionType": "manual",
        "toolDescription": "Update data in Pipedrive\nUse this tool for update customer data from linkedin profile:\nPost summary\nProfile URL\nProfile summary"
      },
      "credentials": {
        "pipedriveApi": {
          "id": "Np1lpjHWyDnuQBzh",
          "name": "Pipedrive account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a0a8ad5d-ee64-48d0-88f5-12393138e07a",
      "name": "HDW LinkedInプロファイルを検索",
      "type": "n8n-nodes-hdw.hdwLinkedinTool",
      "position": [
        660,
        300
      ],
      "parameters": {
        "keywords": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Keywords', ``, 'string') }}",
        "additionalFields": {
          "location": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Location', `location`, 'string') }}",
          "last_name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Last_Name', `last name`, 'string') }}",
          "first_name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('First_Name', `first name`, 'string') }}",
          "company_keywords": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Company_Keywords', `company`, 'string') }}"
        }
      },
      "credentials": {
        "hdwLinkedinApi": {
          "id": "ZT0V5HkxTZIlAkvE",
          "name": "HDW LinkedIn account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "679e5c8c-4597-4286-a356-2e7746644d65",
      "name": "HDW LinkedInプロファイル詳細を取得",
      "type": "n8n-nodes-hdw.hdwLinkedinTool",
      "position": [
        820,
        300
      ],
      "parameters": {
        "user": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('User', `user alias`, 'string') }}",
        "operation": "getProfile"
      },
      "credentials": {
        "hdwLinkedinApi": {
          "id": "ZT0V5HkxTZIlAkvE",
          "name": "HDW LinkedIn account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "76231a56-fa8e-44f2-9e02-3407cc776098",
      "name": "HDW LinkedInプロファイル投稿を取得",
      "type": "n8n-nodes-hdw.hdwLinkedinTool",
      "position": [
        980,
        300
      ],
      "parameters": {
        "urn": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('User_URN', `user URN with prefix:  fsd_profile:ACoAA..`, 'string') }}",
        "operation": "getPosts"
      },
      "credentials": {
        "hdwLinkedinApi": {
          "id": "ZT0V5HkxTZIlAkvE",
          "name": "HDW LinkedIn account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "ef79759b-283d-4a03-8c3a-2cc2f67c1183",
      "name": "Pipedrive Trigger Update Data for Existing Client",
      "type": "n8n-nodes-base.pipedriveTrigger",
      "position": [
        -180,
        700
      ],
      "webhookId": "57f88f55-eaac-4545-8798-5c85b74de8aa",
      "parameters": {
        "action": "change",
        "entity": "person"
      },
      "credentials": {
        "pipedriveApi": {
          "id": "Np1lpjHWyDnuQBzh",
          "name": "Pipedrive account"
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "86b8c79b-5d0f-40f5-b6fb-6a675a6d5165",
      "name": "エンリッチフラグがTrue",
      "type": "n8n-nodes-base.if",
      "position": [
        20,
        700
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "c4337b59-91a5-4f3b-b384-0790e1494595",
              "operator": {
                "type": "number",
                "operation": "equals"
              },
              "leftValue": "={{ $json.data.custom_fields['84e4db043440773b8550825d3112e4a0292ef0f2'].id }}",
              "rightValue": 29
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "e8878f73-5d53-4e5c-a974-f3fe99481585",
      "name": "HDW LinkedInプロファイルをメールで取得1",
      "type": "n8n-nodes-hdw.hdwLinkedinTool",
      "position": [
        400,
        960
      ],
      "parameters": {
        "count": 1,
        "email": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Email', `user email`, 'string') }}",
        "resource": "email"
      },
      "credentials": {
        "hdwLinkedinApi": {
          "id": "ZT0V5HkxTZIlAkvE",
          "name": "HDW LinkedIn account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "f8fa0c6a-b598-40dd-8ddb-e6606aa78ace",
      "name": "HDW LinkedInプロファイルをメールで取得2",
      "type": "n8n-nodes-hdw.hdwLinkedinTool",
      "position": [
        640,
        1720
      ],
      "parameters": {
        "count": 1,
        "email": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Email', `user email`, 'string') }}",
        "resource": "email"
      },
      "credentials": {
        "hdwLinkedinApi": {
          "id": "ZT0V5HkxTZIlAkvE",
          "name": "HDW LinkedIn account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e3457e56-7a83-46e7-8926-5a3152d2d863",
      "name": "データエンリッチメントAIエージェント1",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        540,
        1400
      ],
      "parameters": {
        "text": "=User data:\nemail - {{ $json['identity-profiles'][0].identities[0].value }}\nname - {{ $json.properties.hs_full_name_or_email.value }}\nCompany name - {{ $json.properties.company.value }}",
        "options": {
          "systemMessage": "# LinkedIn Data Enrichment Agent\n\nYou are an advanced data enrichment agent specialized in augmenting CRM records with LinkedIn profile data. Your purpose is to analyze incoming Pipedrive CRM person data, find matching LinkedIn profiles, extract valuable information, and update the CRM with enhanced professional insights.\n\n## Input Data Structure\nYou will receive a JSON array containing Pipedrive person data with the following structure:\n- Person's name, email, and other contact information\n- Custom fields and metadata\n- Timestamp and system information\n\n## Available Tools\n1. `get_linkedin_email_user` - Search for LinkedIn profiles by email address\n2. `get_linkedin_user_posts` - Retrieve recent posts from a LinkedIn profile\n3. `get_linkedin_profile` - Get detailed information about a LinkedIn profile\n4. `update_hubspot_data` - Update CRM data with LinkedIn insights\n5. `search_linkedin_users` - Search for profiles using parameters like name, title, location, company\n\n## Processing Algorithm\n1. SEARCH BY EMAIL: First, attempt to find the LinkedIn profile using the person's email address.\n2. ALTERNATIVE SEARCH: If no profile is found via email,  available parameters (name, company, location) to search for potential matches. \n3. PROFILE DETAILS: Once a profile is found, retrieve comprehensive profile details.\n4. PROFILE SUMMARY: Create a concise, informative summary of the profile highlighting key professional information.\n5. POST RETRIEVAL: Obtain the person's recent LinkedIn posts.\n6. POST SUMMARY: Analyze posts to identify patterns, interests, and professional focus areas. If profile has no posts - update \"no post\"\n7. CRM UPDATE: Update the Pipedrive record with:\n   - LinkedIn profile URL\n   - Profile summary\n   - Post activity summary\n\n## Output Requirements\nFor each profile processed, you must:\n1. Use structured, consistent data format for CRM updates\n2. Include relevant professional insights that could aid in business relationship development\n3. Format all summaries in clear, concise language\n4. Handle errors gracefully, documenting any profiles that could not be enriched\n\nAlways respect privacy and data protection standards throughout this process. Process each record thoroughly before moving to the next one."
        },
        "promptType": "define"
      },
      "typeVersion": 1.9
    },
    {
      "id": "be290e43-8d1c-47b9-8768-5b28c1fec310",
      "name": "データエンリッチメントAIエージェント2",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        240,
        640
      ],
      "parameters": {
        "text": "=User data:\nemail - {{ $json.data.emails[0].value }}\nname - {{ $json.data.name }}\norganization id - {{ $json.data.org_id }}",
        "options": {
          "systemMessage": "# LinkedIn Data Enrichment Agent\n\nYou are an advanced data enrichment agent specialized in augmenting CRM records with LinkedIn profile data. Your purpose is to analyze incoming Pipedrive CRM person data, find matching LinkedIn profiles, extract valuable information, and update the CRM with enhanced professional insights.\n\n## Input Data Structure\nYou will receive a JSON array containing Pipedrive person data with the following structure:\n- Person's name, email, and other contact information\n- Custom fields and metadata\n- Timestamp and system information\n\n## Available Tools\n1. `get_linkedin_email_user` - Search for LinkedIn profiles by email address\n2. `get_organisation_info` - Get information about company from CRM\n3. `get_linkedin_user_posts` - Retrieve recent posts from a LinkedIn profile\n4. `get_linkedin_profile` - Get detailed information about a LinkedIn profile\n5. `update_pipedrive_data` - Update CRM data with LinkedIn insights\n6. `search_linkedin_users` - Search for profiles using parameters like name, title, location, company\n\n## Processing Algorithm\n1. SEARCH BY EMAIL: First, attempt to find the LinkedIn profile using the person's email address.\n2. ALTERNATIVE SEARCH: If no profile is found via email, Get company details from CRM  to get a company name and use available parameters (name, company, location) to search for potential matches. \n3. PROFILE DETAILS: Once a profile is found, retrieve comprehensive profile details.\n4. PROFILE SUMMARY: Create a concise, informative summary of the profile highlighting key professional information.\n5. POST RETRIEVAL: Obtain the person's recent LinkedIn posts.\n6. POST SUMMARY: Analyze posts to identify patterns, interests, and professional focus areas.\n7. CRM UPDATE: Update the Pipedrive record with:\n   - LinkedIn profile URL\n   - Profile summary\n   - Post activity summary\n\n## Output Requirements\nFor each profile processed, you must:\n1. Use structured, consistent data format for CRM updates\n2. Include relevant professional insights that could aid in business relationship development\n3. Format all summaries in clear, concise language\n4. Handle errors gracefully, documenting any profiles that could not be enriched\n\nAlways respect privacy and data protection standards throughout this process. Process each record thoroughly before moving to the next one."
        },
        "promptType": "define"
      },
      "typeVersion": 1.9
    },
    {
      "id": "db2ff73b-eab1-4334-91e7-e79d49c3dc75",
      "name": "Pipedrive1でデータを更新",
      "type": "n8n-nodes-base.pipedriveTool",
      "position": [
        580,
        960
      ],
      "parameters": {
        "personId": "={{ $('Pipedrive Trigger Update Data for Existing Client').item.json.data.id }}",
        "resource": "person",
        "operation": "update",
        "updateFields": {
          "customProperties": {
            "property": [
              {
                "name": "aaff6b5725bba77a29b560b3e9755c37795c8b02",
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        "content": "# CRM Data Enrichment Workflow\nhorizondatawave.ai\n\n## Overview\nThis n8n workflow automates the enrichment of CRM contact data with professional insights from LinkedIn profiles. The workflow integrates with both Pipedrive and HubSpot CRMs, finding LinkedIn profiles that match your contacts and updating your CRM with valuable information about their professional background and recent activities.\n\n## Key Features\n- **Multi-CRM Support**: Works with both Pipedrive and HubSpot\n- **AI-Powered Data Enrichment**: Uses an advanced AI agent to analyze and summarize professional information\n- **Automated Triggers**: Activates when new contacts are added or when enrichment is requested\n- **Comprehensive Profile Analysis**: Captures LinkedIn profile summaries and post activity\n\n## How It Works\n\n### Triggers\nThe workflow activates in three scenarios:\n1. When a new contact is created in CRM\n2. When a contact is updated in CRM with an enrichment flag\n\n### LinkedIn Data Collection Process\n1. **Email Lookup**: First tries to find the LinkedIn profile using the contact's email\n2. **Advanced Search**: If email lookup fails, uses name and company details to find potential matches\n3. **Profile Analysis**: Collects comprehensive profile information\n4. **Post Analysis**: Gathers and analyzes the contact's recent LinkedIn activity\n\n### CRM Updates\nThe workflow updates your CRM with:\n- LinkedIn profile URL\n- Professional summary (skills, experience, background)\n- Analysis of recent LinkedIn posts and activity\n\n## Setup Instructions\n\n### Requirements\n1. Self-hosted n8n instance with the HDW LinkedIn community node installed\n2. API access to OpenAI (for GPT-4o)\n3. Pipedrive and/or HubSpot account\n4. HDW API key [https://app.horizondatawave.ai](https://app.horizondatawave.ai)\n\n\n### Installation Steps\n1. **Install the HDW LinkedIn Node**:\n   ```\n   npm install n8n-nodes-hdw\n   ```\n   - Follow the detailed instructions at: [https://www.npmjs.com/package/n8n-nodes-hdw](https://www.npmjs.com/package/n8n-nodes-hdw)\n\n2. **Configure Credentials**:\n   - **OpenAI**: Add your OpenAI API key\n   - **Pipedrive**: Connect your Pipedrive account (if using)\n   - **HubSpot**: Connect your HubSpot account (if using)\n   - **HDW LinkedIn**: Add your API key from [https://app.horizondatawave.ai](https://app.horizondatawave.ai)\n\n3. **CRM Custom Fields Setup**:\n   \n   **For Pipedrive:**\n   - Go to Settings → Data Fields → Contact Fields → + Add Field\n   - Create the following custom fields:\n     - **LinkedIn Profile**: Field type - Large text\n     - **Profile Summary**: Field type - Large text  \n     - **LinkedIn Posts Summary**: Field type - Large text\n     - **Need Enrichment**: Field type - Single option (Yes/No)\n   \n   Detailed instructions for creating custom fields in Pipedrive: \n   [https://support.pipedrive.com/en/article/custom-fields](https://support.pipedrive.com/en/article/custom-fields)\n   \n   **For HubSpot:**\n   - Go to Settings → Properties → Create property\n   - Create the following properties for Contact object:\n     - **linkedin_url**: Field type - Single-line text\n     - **profile_summary**: Field type - Multi-line text\n     - **linkedin_posts_summary**: Field type - Multi-line text\n     - **need_enrichment**: Field type - Checkbox (Boolean)\n   \n   Detailed instructions for creating properties in HubSpot:\n   [https://knowledge.hubspot.com/properties/create-and-edit-properties](https://knowledge.hubspot.com/properties/create-and-edit-properties)\n\n4. **Import the Workflow**:\n   - Import the \"HDW_CRM_Enrichment.json\" file into your n8n instance\n\n5. **Activate Webhooks**:\n   - Enable the webhook triggers for your CRM to ensure the workflow activates correctly\n\n## Customization Options\n\n### AI Agent Prompts\nYou can modify the system prompts in the \"Data Enrichment AI Agent\" nodes to:\n- Change the focus of profile analysis\n- Adjust the tone and detail level of summaries\n- Customize what information is extracted from posts\n\n### CRM Field Mapping\nThe workflow is pre-configured to update specific custom fields in Pipedrive and HubSpot. Update the field/property mappings in:\n- \"Update data in Pipedrive\" nodes\n- \"Update data in HubSpot\" node\n\n## Troubleshooting\n\n### Common Issues\n- **LinkedIn Profile Not Found**: Check if the contact's email is their work email; consider adjusting the search parameters\n- **Webhook Not Triggering**: Verify webhook configuration in your CRM\n- **Missing Custom Fields**: Ensure all required custom fields are created in your CRM with correct names\n\n### Rate Limits\n- Be aware of LinkedIn API rate limits (managed by HDW LinkedIn node)\n- Consider implementing delays if processing large batches of contacts\n\n## Best Practices\n- Use enrichment flags to selectively update contacts rather than enriching all contacts\n- Review and clean contact data in your CRM before enrichment\n- Periodically review the AI-generated summaries to ensure quality and relevance\n"
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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。

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上級 - 営業, 人工知能

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
上級
ノード数42
カテゴリー2
ノードタイプ10
難易度説明

上級者向け、16ノード以上の複雑なワークフロー

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