# LinkedIn Profile & Activity Scraper (`apt_marble/linkedin-profile-scraper`) Actor Extract public LinkedIn profile data including followers, activity, education, certifications, projects, recommendations, company details, and more. Supports bulk profile scraping with structured JSON output for lead generation, recruitment, CRM enrichment, automation, and market research. - **URL**: https://apify.com/apt\_marble/linkedin-profile-scraper.md - **Developed by:** [Hamza](https://apify.com/apt_marble) (community) - **Categories:** Social media, Automation, Lead generation - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $4.50 / 1,000 profile details This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 & Activity Scraper Extract rich public LinkedIn profile data at scale. This actor collects detailed LinkedIn profile information including: * Profile information * About section * Experience summary * Education history * Certifications * Projects * Recommendations * Recent activity * Company information * Profile images * And more Built for speed, scalability, and automation workflows. --- ## Features ✅ Scrape public LinkedIn profiles ✅ Extract recent activity feed ✅ Structured JSON output ✅ Bulk profile scraping ✅ Fast cloud execution ✅ Lightweight & scalable ✅ Ready for APIs, CRMs, enrichment, and lead generation --- ## Input Provide a list of LinkedIn profile URLs. #### Example Input ```json { "profileUrls": [ "https://www.linkedin.com/in/jorge-d-robles/", "https://www.linkedin.com/in/sakshi8699/" ] } ```` *** ## Output Each result contains a complete LinkedIn profile object. #### Example Output ```json { "profileUrl": "https://www.linkedin.com/in/jorge-d-robles/", "linkedinId": "jorge-d-robles", "fullName": "Jorge Robles", "firstName": "Jorge", "lastName": "Robles", "headline": "Currently: Pushing Google Cloud Storage Console forward with new AI/ML features…", "location": "New York", "city": "New York, New York, United States", "countryCode": "US", "followers": 4305, "connections": 500, "currentCompany": "Google", "profileImage": "https://media.licdn.com/...", "bannerImage": "https://media.licdn.com/...", "about": "Currently: Pushing Google Cloud Storage Console forward...", "educations": [ { "title": "Queens College", "start_year": "2022-07", "end_year": "2024-01" } ], "certifications": [ { "title": "Career Essentials in Generative AI", "subtitle": "Microsoft" } ], "projects": [ { "title": "QC Computer Science AI Advisor" } ], "recentActivity": [ { "interaction": "Liked by Jorge Robles", "title": "OpenAI just got 99,000+ likes...", "link": "https://www.linkedin.com/posts/..." } ] } ``` *** ## Use Cases - Lead generation - Sales prospecting - Recruitment - Talent sourcing - Market research - Founder discovery - CRM enrichment - AI agents & automation - Growth marketing - Competitive analysis *** ## Performance This actor is optimized for: - Low compute usage - Fast execution - Bulk profile processing - High scalability *** ## Pricing This actor uses Pay Per Event pricing. - 1 event = 1 scraped profile result - You are charged only for successful profile outputs *** ## Notes - Only publicly accessible LinkedIn data can be collected. - Large profile lists may take additional processing time. - Activity availability depends on profile visibility settings. *** ## Support If you encounter issues or need additional features, feel free to reach out through the Apify Actor page. # Actor input Schema ## `profileUrl` (type: `string`): Public LinkedIn profile URL to scrape ## Actor input object example ```json { "profileUrl": "https://www.linkedin.com/in/example/" } ``` # 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 = { "profileUrl": "https://www.linkedin.com/in/example/" }; // Run the Actor and wait for it to finish const run = await client.actor("apt_marble/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 = { "profileUrl": "https://www.linkedin.com/in/example/" } # Run the Actor and wait for it to finish run = client.actor("apt_marble/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 '{ "profileUrl": "https://www.linkedin.com/in/example/" }' | apify call apt_marble/linkedin-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apt_marble/linkedin-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile & Activity Scraper", "description": "Extract public LinkedIn profile data including followers, activity, education, certifications, projects, recommendations, company details, and more. Supports bulk profile scraping with structured JSON output for lead generation, recruitment, CRM enrichment, automation, and market research.", "version": "0.0", "x-build-id": "ZW0uJ6dkNuTnXrJ4V" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apt_marble~linkedin-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apt_marble-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apt_marble~linkedin-profile-scraper/runs": { "post": { "operationId": "runs-sync-apt_marble-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apt_marble~linkedin-profile-scraper/run-sync": { "post": { "operationId": "run-sync-apt_marble-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "profileUrl" ], "properties": { "profileUrl": { "title": "LinkedIn Profile URL", "type": "string", "description": "Public LinkedIn profile URL to scrape" } } }, "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 } } } } } } } } } } ```