Kontaktinformationen anreichern
Experte
Dies ist ein Lead Generation, AI Summarization-Bereich Automatisierungsworkflow mit 24 Nodes. Hauptsächlich werden If, Set, Code, Sort, Limit und andere Nodes verwendet. Umfassende Kontaktanreicherung für HubSpot basierend auf Apollo, LinkedIn und GPT-4o
Voraussetzungen
- •HubSpot API Key
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •OpenAI API Key
Verwendete Nodes (24)
Kategorie
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
"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": "Bei Ausführung durch anderen 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": "Anreichern mit 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": "Gefunden?",
"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": "In HubSpot1 anreichern",
"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": "={{ $json.output.recent_linkedin_activity }}",
"property": "recent_linkedin_posts"
}
]
}
}
},
"credentials": {
"hubspotOAuth2Api": {
"id": "DAzRcQP1uXfOKZuC",
"name": "HubSpot account"
}
},
"retryOnFail": true,
"typeVersion": 2.1
},
{
"id": "01dd3096-dcb3-4e0d-97ac-581a7d08b55f",
"name": "Automatischer Ausgabe-Parser2",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
2672,
912
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "b819ac28-783c-49d5-8125-fb824fd30661",
"name": "Strukturierter Ausgabe-Parser2",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
2832,
1040
],
"parameters": {
"jsonSchemaExample": "{\n \"email\": \"testuser1@companydomain.com\",\n \"linkedin_url\": \"http://www.linkedin.com/in/testuser1\",\n \"job_title\": \"CEO & Co-Founder\",\n \"city\": \"Denver\",\n \"state\": \"Colorado\",\n \"country_region\": \"United States\",\n \"experience_summary\": \"User experience content\",\n \"education_summary\": \"Education Level content\",\n \"recent_linkedin_activity\": \"• Posted about winning 82 % of competitive deals and key sales mantras (6 hours ago)\\n• Shared guidance on setting realistic expectations for a new VP Sales’ impact (1 day ago)\"\n}"
},
"typeVersion": 1.2
},
{
"id": "06391ddf-2071-4b80-86ad-85c922ae33c8",
"name": "OpenAI Chat Model5",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2672,
1040
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "HH848Gw8QSS5TUKW",
"name": "OpenAi"
}
},
"typeVersion": 1.2
},
{
"id": "3aa928c0-6f12-4f5c-9acb-018b0b87667e",
"name": "Anreicherungs-Zusammenfassungs-Agent",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2528,
752
],
"parameters": {
"text": "=Here’s the person data to enrich for CRM: \n{{ JSON.stringify($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": "Notiz",
"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": "Notiz2",
"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": "Notiz3",
"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": "Zusammenführen",
"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": "Neueste Beiträge abrufen",
"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": "Aufteilen",
"type": "n8n-nodes-base.splitOut",
"position": [
1040,
912
],
"parameters": {
"options": {},
"fieldToSplitOut": "data"
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "6b392b08-3dff-4201-ba66-a979ac7d301a",
"name": "Weitergaben und alte Beiträge filtern",
"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": "Auf 3 begrenzen",
"type": "n8n-nodes-base.limit",
"position": [
1680,
912
],
"parameters": {
"maxItems": 3
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "fa0bd77e-310e-4a64-83c9-c4f3b0fddb7a",
"name": "Nach Beitragsdatum sortieren",
"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": "Aggregieren",
"type": "n8n-nodes-base.aggregate",
"position": [
1904,
912
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "c0e75ad6-08db-4bda-9c69-4067adcc4951",
"name": "Über Elemente iterieren",
"type": "n8n-nodes-base.splitInBatches",
"position": [
624,
784
],
"parameters": {
"options": {}
},
"typeVersion": 3,
"alwaysOutputData": false
},
{
"id": "69bd14dd-f6d8-4220-ba6b-dd17d2d1ea8b",
"name": "Felder extrahieren",
"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": "Notiz5",
"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": "Bereinigen",
"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": "Notiz1",
"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": {
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{
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},
"f76caacf-bf40-4aa7-b48c-60ebf9c772a8": {
"main": [
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},
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}Häufig gestellte Fragen
Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Lead-Generierung, KI-Zusammenfassung
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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