Enrichissement des informations de contact

Avancé

Ceci est unLead Generation, AI Summarizationworkflow d'automatisation du domainecontenant 24 nœuds.Utilise principalement des nœuds comme If, Set, Code, Sort, Limit. Enrichissement complet des informations de contact basé sur Apollo, LinkedIn et GPT-4o pour HubSpot

Prérequis
  • Clé API HubSpot
  • Peut nécessiter les informations d'identification d'authentification de l'API cible
  • Clé API OpenAI
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
  "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": "Lors de l'Exécution par un Autre Workflow",
      "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": "Enrichir avec Apollo",
      "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": "Trouvé ?",
      "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": "Enrichir dans HubSpot1",
      "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": "Auto-fixing Output Parser2",
      "type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
      "position": [
        2672,
        912
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "b819ac28-783c-49d5-8125-fb824fd30661",
      "name": "Structured Output Parser2",
      "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 Chat Model5",
      "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": "Agent de Synthèse d'Enrichissement",
      "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": "Note Adhésive",
      "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": "Note Adhésive2",
      "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": "Note Adhésive3",
      "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": "Fusionner",
      "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 Chat Model6",
      "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": "Obtenir les Publications Récentes",
      "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": "Diviser",
      "type": "n8n-nodes-base.splitOut",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "data"
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "6b392b08-3dff-4201-ba66-a979ac7d301a",
      "name": "Filtrer les Repartages et Anciennes Publications",
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      "position": [
        1264,
        912
      ],
      "parameters": {
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        "conditions": {
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            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "loose"
          },
          "combinator": "and",
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                "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": "Limiter à 3",
      "type": "n8n-nodes-base.limit",
      "position": [
        1680,
        912
      ],
      "parameters": {
        "maxItems": 3
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "fa0bd77e-310e-4a64-83c9-c4f3b0fddb7a",
      "name": "Trier par Date de Publication",
      "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": "Agréger",
      "type": "n8n-nodes-base.aggregate",
      "position": [
        1904,
        912
      ],
      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData"
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "c0e75ad6-08db-4bda-9c69-4067adcc4951",
      "name": "Boucler sur les Éléments",
      "type": "n8n-nodes-base.splitInBatches",
      "position": [
        624,
        784
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3,
      "alwaysOutputData": false
    },
    {
      "id": "69bd14dd-f6d8-4220-ba6b-dd17d2d1ea8b",
      "name": "Extraire les Champs",
      "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": "Note Adhésive5",
      "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": "Nettoyer",
      "type": "n8n-nodes-base.code",
      "position": [
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      ],
      "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": "Note Adhésive1",
      "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",
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Foire aux questions

Comment utiliser ce workflow ?

Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.

Dans quelles scénarios ce workflow est-il adapté ?

Avancé - Génération de leads, Résumé IA

Est-ce payant ?

Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.

Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds24
Catégorie2
Types de nœuds18
Description de la difficulté

Adapté aux utilisateurs avancés, avec des workflows complexes contenant 16+ nœuds

Liens externes
Voir sur n8n.io

Partager ce workflow

Catégories

Catégories: 34