LinkedIn 개인 프로필 정보 추출
이것은Sales, AI, Marketing분야의자동화 워크플로우로, 6개의 노드를 포함합니다.주로 Set, Airtop, FormTrigger, ExecuteWorkflowTrigger 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. Airtop과 AI 분석을 사용하여 구조화된 LinkedIn 개인 프로필 데이터를 추출
- •AI 서비스 API Key(예: OpenAI, Anthropic 등)
{
"id": "OGfsyvA3tBbLytSo",
"meta": {
"instanceId": "28a947b92b197fc2524eaba16e57560338657b2b0b5796300b2f1cedc1d0d355",
"templateCredsSetupCompleted": true
},
"name": "Extract LinkedIn Profile Information",
"tags": [],
"nodes": [
{
"id": "e536a185-e95d-4a15-a28f-10cf207cea2d",
"name": "Airtop",
"type": "n8n-nodes-base.airtop",
"position": [
200,
100
],
"parameters": {
"url": "={{ $json.Linkedi_URL }}",
"prompt": "This is a LinkedIn profile. Extract the following information:\n\n- Name: The full name of the person\n- Headline: The professional headline\n- Location: The location of the person\n- Current Company: The current company the person works for\n- Current Position: The current position at the company\n- About: The about section text\n- Experience: For each position (up to 10):\n - Company Name: The name of the company\n - Position: The position held\n - Duration: The time period worked at the company\n - Location: The location of the job\n - Description: The description of the role\n- Education: For each education entry (up to 5):\n - Institution: The name of the educational institution\n - Degree: The degree obtained\n - Field of Study: The field of study\n - Duration: The time period of education\n - Description: Any additional information about the education\n- Skills: List of skills (up to 50)\n- Certifications: For each certification (up to 10):\n - Name: The name of the certification\n - Issuing Organization: The organization that issued the certification\n - Issue Date: When the certification was issued\n - Expiration Date: When the certification expires (if applicable)\n- Languages: List of languages and proficiency levels\n- Connections: The number of connections\n- Recommendations: The number of recommendations received",
"resource": "extraction",
"operation": "query",
"profileName": "={{ $json.Airtop_profile }}",
"sessionMode": "new",
"additionalFields": {
"outputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The full name of the person\"\n },\n \"headline\": {\n \"type\": \"string\",\n \"description\": \"The professional headline\"\n },\n \"location\": {\n \"type\": \"string\",\n \"description\": \"The location of the person\"\n },\n \"current_company\": {\n \"type\": \"string\",\n \"description\": \"The current company the person works for\"\n },\n \"current_position\": {\n \"type\": \"string\",\n \"description\": \"The current position at the company\"\n },\n \"about\": {\n \"type\": \"string\",\n \"description\": \"The about section text\"\n },\n \"experience\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"company_name\": {\n \"type\": \"string\",\n \"description\": \"The name of the company\"\n },\n \"position\": {\n \"type\": \"string\",\n \"description\": \"The position held\"\n },\n \"duration\": {\n \"type\": \"string\",\n \"description\": \"The time period worked at the company\"\n },\n \"location\": {\n \"type\": \"string\",\n \"description\": \"The location of the job\"\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"The description of the role\"\n }\n },\n \"required\": [\n \"company_name\",\n \"position\",\n \"duration\",\n \"location\",\n \"description\"\n ],\n \"additionalProperties\": false\n }\n },\n \"education\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"institution\": {\n \"type\": \"string\",\n \"description\": \"The name of the educational institution\"\n },\n \"degree\": {\n \"type\": \"string\",\n \"description\": \"The degree obtained\"\n },\n \"field_of_study\": {\n \"type\": \"string\",\n \"description\": \"The field of study\"\n },\n \"duration\": {\n \"type\": \"string\",\n \"description\": \"The time period of education\"\n },\n \"description\": {\n \"type\": \"string\",\n \"description\": \"Any additional information about the education\"\n }\n },\n \"required\": [\n \"institution\",\n \"degree\",\n \"field_of_study\",\n \"duration\",\n \"description\"\n ],\n \"additionalProperties\": false\n }\n },\n \"skills\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n },\n \"description\": \"List of skills\"\n },\n \"certifications\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\n \"type\": \"string\",\n \"description\": \"The name of the certification\"\n },\n \"issuing_organization\": {\n \"type\": \"string\",\n \"description\": \"The organization that issued the certification\"\n },\n \"issue_date\": {\n \"type\": \"string\",\n \"description\": \"When the certification was issued\"\n },\n \"expiration_date\": {\n \"type\": [\n \"string\",\n \"null\"\n ],\n \"description\": \"When the certification expires (if applicable)\"\n }\n },\n \"required\": [\n \"name\",\n \"issuing_organization\",\n \"issue_date\",\n \"expiration_date\"\n ],\n \"additionalProperties\": false\n }\n },\n \"languages\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"language\": {\n \"type\": \"string\",\n \"description\": \"The language\"\n },\n \"proficiency\": {\n \"type\": \"string\",\n \"description\": \"The proficiency level\"\n }\n },\n \"required\": [\n \"language\",\n \"proficiency\"\n ],\n \"additionalProperties\": false\n },\n \"description\": \"List of languages and proficiency levels\"\n },\n \"connections\": {\n \"type\": \"integer\",\n \"description\": \"The number of connections\"\n },\n \"recommendations\": {\n \"type\": \"integer\",\n \"description\": \"The number of recommendations received\"\n }\n },\n \"required\": [\n \"name\",\n \"headline\",\n \"location\",\n \"current_company\",\n \"current_position\",\n \"about\",\n \"experience\",\n \"education\",\n \"skills\",\n \"certifications\",\n \"languages\",\n \"connections\",\n \"recommendations\"\n ],\n \"additionalProperties\": false,\n \"$schema\": \"http://json-schema.org/draft-07/schema#\"\n}"
}
},
"credentials": {
"airtopApi": {
"id": "Yi4YPNnovLVUjFn5",
"name": "Airtop Official Org"
}
},
"typeVersion": 1
},
{
"id": "e82acd23-fd83-4b5b-a460-056669ef7053",
"name": "폼 제출 시",
"type": "n8n-nodes-base.formTrigger",
"position": [
-240,
0
],
"webhookId": "578979b3-39f8-46cf-89a0-61e8871a468e",
"parameters": {
"options": {},
"formTitle": "Linkedin Profile Extractor",
"formFields": {
"values": [
{
"fieldLabel": "Linkedin Person Profile URL",
"requiredField": true
},
{
"fieldLabel": "Airtop Profile (connected to Linkedin)",
"requiredField": true
}
]
},
"formDescription": "This Airtop Studio automation simplifies LinkedIn data extraction by automatically providing structured, reliable, and easily actionable data—saving significant effort, reducing errors, and enabling fast analysis and decision-making."
},
"typeVersion": 2.2
},
{
"id": "0eb1d929-6c46-432b-9eae-e2cd7ed377b7",
"name": "필드 편집",
"type": "n8n-nodes-base.set",
"position": [
420,
100
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "={{ $json.data.modelResponse }}"
},
"typeVersion": 3.4
},
{
"id": "42a3e2b9-c830-4ef3-bb0b-0c8951fed417",
"name": "다른 워크플로우에 의해 실행될 때",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
-240,
200
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "Linkedin_URL"
},
{
"name": "Airtop_profile"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "c6408039-49db-44e9-905a-7a0e61211375",
"name": "매개변수",
"type": "n8n-nodes-base.set",
"position": [
-20,
100
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "e612bf63-72bd-4b61-82c9-786a90b58b7b",
"name": "Linkedi_URL",
"type": "string",
"value": "={{ $json[\"Linkedin Person Profile URL\"] || $json.Linkedin_URL }}"
},
{
"id": "567e5e7d-4efd-4d0a-a93c-6c7aed02c305",
"name": "Airtop_profile",
"type": "string",
"value": "={{ $json[\"Airtop Profile (connected to Linkedin)\"] || $json.Airtop_profile }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f57c8cfd-b207-4769-b509-74f3cd6eb1aa",
"name": "스티커 메모",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1040,
-280
],
"parameters": {
"width": 720,
"height": 880,
"content": "README\n# Extracting LinkedIn Profile Information\n## Use Case\nManually copying data from LinkedIn profiles is time-consuming and error-prone. This automation helps you extract structured, detailed information from any public LinkedIn profile—enabling fast enrichment, hiring research, or lead scoring.\n\n## What This Automation Does\nThis automation extracts profile details from a LinkedIn URL using the following input parameters:\n- **airtop_profile**: The name of your [Airtop Profile](https://portal.airtop.ai/browser-profiles) connected to LinkedIn.\n- **linkedin_url**: The URL of the LinkedIn profile you want to extract data from.\n\n## How It Works\n1. Starts with a form trigger or via another workflow.\n2. Assigns the LinkedIn URL and Airtop profile variables.\n3. Opens the LinkedIn profile in a real browser session using Airtop.\n4. Uses an AI prompt to extract structured information, including:\n - Name, headline, location\n - Current company and position\n - About section, experience, and education history\n - Skills, certifications, languages, connections, and recommendations\n5. Returns structured JSON ready for further use or storage.\n\n## Setup Requirements\n1. [Airtop API Key](https://portal.airtop.ai/api-keys) — free to generate.\n2. An [Airtop Profile](https://portal.airtop.ai/browser-profiles) connected to LinkedIn (requires one-time login).\n\n## Next Steps\n- **Sync with CRM**: Push extracted data into HubSpot, Salesforce, or Airtable for lead enrichment.\n- **Combine with Search Automation**: Use with a LinkedIn search scraper to process profiles in bulk.\n- **Adapt to Other Platforms**: Customize the prompt to extract structured data from GitHub, Twitter, or company sites."
},
"typeVersion": 1
}
],
"active": true,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "96f70c8d-e29d-4a1b-9ba9-466c6e1447ff",
"connections": {
"e536a185-e95d-4a15-a28f-10cf207cea2d": {
"main": [
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"node": "0eb1d929-6c46-432b-9eae-e2cd7ed377b7",
"type": "main",
"index": 0
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},
"c6408039-49db-44e9-905a-7a0e61211375": {
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"e82acd23-fd83-4b5b-a460-056669ef7053": {
"main": [
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"42a3e2b9-c830-4ef3-bb0b-0c8951fed417": {
"main": [
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"node": "c6408039-49db-44e9-905a-7a0e61211375",
"type": "main",
"index": 0
}
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]
}
}
}이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
중급 - 영업, 인공지능, 마케팅
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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Airtop
@cesar-at-airtopAirtop provides an intelligent browser automation API for AI agents, enabling seamless web interaction, including login, navigation, and data extraction from any site, even those with complex authentication - all with natural language instructions.In simple terms, we allow you to automate anything humans can do online, on any site with just words
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