# LinkedIn Profile Scraper (No Cookies) (`baseball/social-url-ap`) Actor Extract detailed information from LinkedIn profiles in bulk, including complete work experience, education history, skills and more. No cookies or account required. - **URL**: https://apify.com/baseball/social-url-ap.md - **Developed by:** [Tools Email](https://apify.com/baseball) (community) - **Categories:** Automation, Lead generation, Open source - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 linkedin profile scrapers This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 scraper Extract complete LinkedIn profile-level data from profile URLs including work experience, education, skills, recommendations, languages, and additional metadata. Designed for deep enrichment, recruiting intelligence, research, and advanced outreach workflows. No login cookies required. --- ### πŸ“Œ Data Fields Included | Field | Description | | ----------------------- | -------------------------------------------------------------------------------- | | publicIdentifier | Public LinkedIn profile username (profile slug) | | linkedInIdentifier | Internal LinkedIn profile identifier | | memberIdentifier | Unique LinkedIn member ID | | linkedInUrl | Direct LinkedIn profile URL | | firstName | Member first name | | lastName | Member last name | | headline | Profile headline | | summary | About section description | | location | Profile location | | followerCount | Total number of followers | | premium | Indicates if the member has LinkedIn Premium | | is_open_profile | Can receive messages without connection | | is_creator | Creator mode enabled status | | is_influencer | Influencer badge status | | is_self | Indicates whether profile belongs to logged-in user | | is_relationship | Relationship indicator between viewer and member | | websites | Websites listed on the profile | | connections_count | Total number of connections | | birthdate | Birthdate (if available) | | positions | Full work experience history including company, title, duration, and description | | schools | Education history including institutes, degrees, and fields of study | | skills | Skills listed on the profile with endorsements where available | | languages | Languages listed on the profile | | recommendations | Recommendations received or given on the profile | | volunteering_experience | Volunteer work and associated organizations | | photoUrl | Profile image URL | | backgroundUrl | Cover image URL | | request_type | Type of extraction request processed | --- ### πŸ“Š Sample Output ```json { "publicIdentifier": "salman-ha***d-638****198", "linkedInIdentifier": "ACoAAC5u7Aw*****z1lWSxgaqWCG1uV3cRARQ", "memberIdentifier": "779021324", "linkedInUrl": "https://www.linkedin.com/in/salman-h****d-638****98", "firstName": "Salman", "lastName": "H****d", "headline": "Founder/CEO of Kainaat Studios, and Professor of Integrated Science & Humanities, Hampshire College, Massachusetts", "summary": "Salman H****dΒ is the founder and CEO of the non-profit Kainaat Studios, that creates topical astronomy videos in Urdu for audiences in Pakistan (and broader South Asia). He is also Charles Taylor Chair and Professor of Integrated Science & Humanities at Hampshire College, Amherst, Massachusetts. He holds a Ph.D. in astronomy and is a member of the Five College Astronomy Department (FCAD), but his research is inter-disciplinary and it focuses on analyzing how science interacts with society. Science communication is still his primary focus: Salman has a YouTube Channel (Kainaat Astronomy) for Urdu videos and a weekly astronomy segment in English for a radio station (WRSI FM93.9) in Western Massachusetts. His writings have appeared in Dawn Magazine, Express Tribune, Science Magazine, NPR, and the Guardian.", "location": "Amherst, Massachusetts, United States", "followerCount": "1606", "premium": "FALSE", "is_open_profile": "FALSE", "is_creator": "FALSE", "is_influencer": "FALSE", "is_self": "FALSE", "is_relationship": "FALSE", "websites": "[\"https://www.kainaatstudios.com/salman-hameed\",\"https://www.youtube.com/KainaatAstronomyInUrdu\"]", "connections_count": "1440", "birthdate": "", "positions": "{\"positionsCount\": 3, \"positionHistory\": [{\"end\": null, \"start\": \"7/1/2005\", \"skills\": [], \"status\": \"Full-time\", \"company\": \"Hampshire College\", \"position\": \"Charles Taylor Chair and Professor of Integrated Science & Humanities\", \"company_id\": \"21340\", \"company_picture_url\": \"https://media.licdn.com/dms/image/v2/C4D0BAQFbLrZ0GjCa8Q/company-logo_200_200/company-logo_200_200/0/1631313355679?e=1780531200&v=beta&t=z9qIhdDdYfAogF7-bA7zMXfFhGy24nQu_O9O-ND37X4\", \"company_linkedin_url\": \"http://www.linkedin.com/school/hampshire-college\"}, {\"end\": null, \"start\": \"1/1/2019\", \"skills\": [], \"status\": \"Self-employed\", \"company\": \"Kainaat Studios\", \"location\": \"United States\", \"position\": \"President and CEO\", \"company_id\": \"72754179\", \"company_picture_url\": \"https://media.licdn.com/dms/image/v2/D4D0BAQHQwjPpkMadAw/company-logo_200_200/B4DZpBB8w3IkAI-/0/1762027622118/kainaat_logo?e=1780531200&v=beta&t=9V602KmM-PaCVwY7qvFjaKHCotbZdOGklky5LvFwVDw\", \"company_linkedin_url\": \"http://www.linkedin.com/company/kainaat\"}, {\"end\": null, \"start\": \"4/1/2019\", \"skills\": [], \"status\": \"Self-employed\", \"company\": \"Amherst Cinema Arts Center\", \"location\": \"United States\", \"position\": \"Board Of Directors\", \"company_id\": \"4026193\", \"company_picture_url\": \"https://media.licdn.com/dms/image/v2/C4D0BAQG4RE69Qa-Bfg/company-logo_200_200/company-logo_200_200/0/1630527737296/amherst_cinema_logo?e=1780531200&v=beta&t=ZkF_1z-pJJOjsIgXiCMZ1kYP1JnN0d3Bva4mnro9Dgc\", \"company_linkedin_url\": \"http://www.linkedin.com/company/amherst-cinema\"}]}", "schools": "{\"educationsCount\": 2, \"educationHistory\": [{\"end\": \"1/1/2001\", \"start\": \"1/1/1994\", \"degree\": \"Doctor of Philosophy - PhD, Astronomy\", \"school\": \"New Mexico State University\", \"school_id\": \"10188\", \"school_picture_url\": \"https://media.licdn.com/dms/image/v2/C4E0BAQGrCLDBTVSazw/company-logo_200_200/company-logo_200_200/0/1630620059876/new_mexico_state_university_logo?e=1780531200&v=beta&t=P6t0oSQxMHxI87C1eQ_Ib9YMtDA8ZPUo26mc5H6CuoQ\"}, {\"end\": \"1/1/1993\", \"start\": \"1/1/1989\", \"degree\": \"Bachelor of Science - BS, Physics and Astronomy\", \"school\": \"Stony Brook University\", \"school_id\": \"7201\", \"school_picture_url\": \"https://media.licdn.com/dms/image/v2/C4E0BAQHOeNb0KmKXYQ/company-logo_200_200/company-logo_200_200/0/1630647027307/stony_brook_university_logo?e=1780531200&v=beta&t=bCxt2h0qrNyv-2Chn2BCsGoYu8uHMYiOupRm4D4QvkQ\"}]}", "skills": "{\"Skills\": []}", "languages": "{\"Languages\": []}", "recommendations": "", "volunteering_experience": "{\"recommendationsCount\": 0, \"recommendationHistory\": []}", "photoUrl": "https://media.licdn.com/dms/image/v2/C4D03AQEmEDnuXjO3Rw/profile-displayphoto-shrink_800_800/profile-displayphoto-shrink_800_800/0/1574796321477?e=1780531200&v=beta&t=QcVjTqICS9u-JKEQMmQWzf5Rjqoad-F_1u5zPHFi8PY", "backgroundUrl": "", "request_type": "Social Enrichment" } ```` *** ### πŸ’° Pricing LinkedIn Profile Complete Export is available on a pay-per-result basis: **On the free Apify plan, the platform caps at 50 leads one time** **$5.00 per 1,000 profiles β†’ just $0.005 per profile** *** ### πŸ“¦ Estimated Delivery Time | Volume | Delivery Time | | -------------------- | --------------- | | 1k – 50k profiles | within 3 hours | | 50k – 100k profiles | 3 – 6 hours | | 100k – 500k profiles | within 12 hours | *** ### πŸ—‚οΈ How to Use 1. Create a free Apify account 2. Provide LinkedIn profile URLs as input 3. Run the actor 4. Download structured JSON, CSV, or Excel output # Actor input Schema ## `fileName` (type: `string`): Name of the Excel file to be uploaded. ## `linkedinUrls` (type: `array`): Enter one or more LinkedIn profile URLs. ## Actor input object example ```json { "fileName": "linkedin scraper", "linkedinUrls": [ "https://www.linkedin.com/in/williamhgates" ] } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "linkedinUrls": [ "https://www.linkedin.com/in/williamhgates" ] }; // Run the Actor and wait for it to finish const run = await client.actor("baseball/social-url-ap").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "linkedinUrls": ["https://www.linkedin.com/in/williamhgates"] } # Run the Actor and wait for it to finish run = client.actor("baseball/social-url-ap").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "linkedinUrls": [ "https://www.linkedin.com/in/williamhgates" ] }' | apify call baseball/social-url-ap --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=baseball/social-url-ap", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper (No Cookies)", "description": "Extract detailed information from LinkedIn profiles in bulk, including complete work experience, education history, skills and more. No cookies or account required.", "version": "0.0", "x-build-id": "s8wxRgrpQ2d3pzMyg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/baseball~social-url-ap/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-baseball-social-url-ap", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/baseball~social-url-ap/runs": { "post": { "operationId": "runs-sync-baseball-social-url-ap", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/baseball~social-url-ap/run-sync": { "post": { "operationId": "run-sync-baseball-social-url-ap", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "fileName", "linkedinUrls" ], "properties": { "fileName": { "title": "File Name", "type": "string", "description": "Name of the Excel file to be uploaded.", "default": "linkedin scraper" }, "linkedinUrls": { "title": "LinkedIn Profile URLs", "type": "array", "description": "Enter one or more LinkedIn profile URLs.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```