# LinkedIn Profile Scraper (`travelmonitorlab/linkedin-profile-scraper`) Actor Scrape LinkedIn profiles and search results. Extract professional data, skills, and company info. - **URL**: https://apify.com/travelmonitorlab/linkedin-profile-scraper.md - **Developed by:** [Travel Monitor Lab](https://apify.com/travelmonitorlab) (community) - **Categories:** Lead generation, Marketing, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 💼 LinkedIn Profile Scraper Extract professional profile data from LinkedIn. Get names, headlines, companies, and profile photos for recruitment, sales prospecting, and market research. ### What does LinkedIn Profile Scraper do? This scraper extracts public LinkedIn profile information, helping you: - **Build prospect lists**: Get professional details for sales outreach - **Research candidates**: Collect profile data for recruitment pipelines - **Analyze industries**: Study professional demographics and career paths - **Enrich CRM data**: Add LinkedIn profile details to your existing contacts ### What data can you extract? | Field | Description | Example | |-------|-------------|---------| | 👤 Full Name | Person's name | "Bill Gates" | | 💼 Headline | Professional title | "Co-chair, Bill & Melinda Gates Foundation" | | 🏢 Company | Current employer | "Gates Foundation" | | 📍 Location | Geographic area | "Seattle, Washington" | | 🔗 Connections | Network size | "500+" | | 📝 Summary | About section | "Technologist, business leader..." | | 🖼️ Photo | Profile image URL | "https://media.licdn.com/..." | ### How to use 1. Enter LinkedIn **profile URLs** 2. Click **Start** 3. Get structured profile data 4. Download as **JSON, CSV, or Excel** #### Input example ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates/", "https://www.linkedin.com/in/satyanadella/" ] } ```` #### Output example ```json { "name": "Bill Gates", "headline": "Co-chair, Bill & Melinda Gates Foundation", "company": "Gates Foundation", "location": "Seattle, Washington, United States", "connections": "500+", "summary": "Technologist, business leader, and philanthropist...", "imageUrl": "https://media.licdn.com/dms/image/...", "profileUrl": "https://www.linkedin.com/in/williamhgates/" } ``` ### Use cases #### Sales Prospecting Build targeted prospect lists with professional details. Identify decision-makers at target companies. #### Recruitment Research candidates before outreach. Collect profile data for your ATS or CRM. #### Market Research Analyze professional demographics, job titles, and career paths in specific industries. #### Data Enrichment Match and enrich your existing contact database with LinkedIn profile information. ### API access ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("travelmonitorlab/linkedin-profile-scraper").call( run_input={"profileUrls": ["https://www.linkedin.com/in/williamhgates/"]} ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(f"{item['name']} - {item['headline']}") ``` ### Important notes - This scraper extracts **publicly available** profile data only - LinkedIn may limit access from certain IP ranges - For best results, use with Apify Proxy (residential) - Always comply with LinkedIn's Terms of Service and applicable laws ### FAQ **Does this require a LinkedIn account?** No. This scraper accesses public profile pages without login. **How many profiles can I scrape?** You can scrape hundreds of profiles per run. Processing time is approximately 5-10 seconds per profile. **Why do some profiles return less data?** LinkedIn profiles have different privacy settings. Some users restrict their public profile visibility. # Actor input Schema ## `profileUrls` (type: `array`): List of LinkedIn profile URLs to scrape (e.g., \['https://www.linkedin.com/in/williamhgates/']) ## `includeSkills` (type: `boolean`): Whether to extract the skills section ## `includeExperience` (type: `boolean`): Whether to extract work experience details ## Actor input object example ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates/" ], "includeSkills": true, "includeExperience": true } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "profileUrls": [ "https://www.linkedin.com/in/williamhgates/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("travelmonitorlab/linkedin-profile-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "profileUrls": ["https://www.linkedin.com/in/williamhgates/"] } # Run the Actor and wait for it to finish run = client.actor("travelmonitorlab/linkedin-profile-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "profileUrls": [ "https://www.linkedin.com/in/williamhgates/" ] }' | apify call travelmonitorlab/linkedin-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=travelmonitorlab/linkedin-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper", "description": "Scrape LinkedIn profiles and search results. Extract professional data, skills, and company info.", "version": "1.0", "x-build-id": "qtSY7NbRlAvIloU1K" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/travelmonitorlab~linkedin-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-travelmonitorlab-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/travelmonitorlab~linkedin-profile-scraper/runs": { "post": { "operationId": "runs-sync-travelmonitorlab-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/travelmonitorlab~linkedin-profile-scraper/run-sync": { "post": { "operationId": "run-sync-travelmonitorlab-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "profileUrls" ], "properties": { "profileUrls": { "title": "LinkedIn Profile URLs", "type": "array", "description": "List of LinkedIn profile URLs to scrape (e.g., ['https://www.linkedin.com/in/williamhgates/'])", "items": { "type": "string" } }, "includeSkills": { "title": "Include Skills", "type": "boolean", "description": "Whether to extract the skills section", "default": true }, "includeExperience": { "title": "Include Experience", "type": "boolean", "description": "Whether to extract work experience details", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```