# LinkedIn Profile Scraper & API (`api_massta/linkedin-profile-scraper`) Actor Extract LinkedIn profile data — name, headline, experience, education, skills, certifications. Works with or without cookies. Accepts URLs or usernames in bulk. Batch or real-time Standby/MCP API. Pay-per-result. - **URL**: https://apify.com/api\_massta/linkedin-profile-scraper.md - **Developed by:** [Sh0ck Labs](https://apify.com/api_massta) (community) - **Categories:** AI, MCP servers, Lead generation - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 profile scrapeds 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 Scraper & API 👤 **Extract LinkedIn personal profiles at scale — name, headline, location, about, experience, education, skills, certifications, and languages — for a single person or thousands.** Enrich your CRM, source candidates, build talent maps, or give your AI agents live people data. No login required for public profiles. Pass a profile URL or a plain username (`satyanadella`, `jeffweiner08`) and get back clean structured JSON. Run it as a one-off batch job, schedule it, or turn it into a **real-time API** your apps and AI agents can call. --- ### ✨ What you get - 👤 **Full profile data** — name, headline, location, about/summary, photo, connections, and followers - 💼 **Experience** — job titles, companies, dates, locations, and descriptions for each role - 🎓 **Education** — schools, degrees, fields of study, and dates - 🛠 **Skills, certifications & languages** — complete lists (with cookies) - 🔢 **Bulk lookups** — pass a whole list of profiles in one run - 🔗 **Flexible input** — full LinkedIn profile URLs *or* bare usernames - 🆓 **No login for public profiles** — start scraping immediately - 🔐 **Cookies for full data** — supply a LinkedIn session to unlock the Voyager API with rich, detailed results - 🤖 **Real-time API + MCP** — call it live from your code or from AI agents - 💸 **Pay only for results** — billed per profile returned --- ### 🎯 Use cases - **Sales & lead generation** — enrich prospect lists with role, company, seniority, and skills for better targeting and routing. - **Recruiting & talent sourcing** — build candidate profiles, track career moves, and map talent pools at scale. - **People analytics & org mapping** — analyze team compositions, seniority distributions, and tenure patterns across companies. - **AI agents & RAG pipelines** — give LLM recruiting or research agents live people data on demand via the Apify MCP server. - **Background research & due diligence** — pull consistent professional snapshots across a list of individuals. --- ### 📥 Input | Field | Description | |---|---| | `profiles` | LinkedIn profiles to look up — full URLs (`https://www.linkedin.com/in/satyanadella`) or usernames (`satyanadella`). **Required.** | | `cookies` *(optional)* | LinkedIn session cookies (JSON export) for full profile data via the Voyager API. Leave empty for the public view. | | `proxy` | Proxy configuration (recommended for larger or authenticated runs). | | `timeout` | Seconds before a page load gives up. | ```json { "profiles": ["satyanadella", "https://www.linkedin.com/in/jeffweiner08"] } ```` ### 📤 Output One record per profile. **With cookies** (Voyager API — richest data): ```json { "profile_url": "https://www.linkedin.com/in/satyanadella/", "first_name": "Satya", "last_name": "Nadella", "full_name": "Satya Nadella", "headline": "Chairman and CEO at Microsoft", "location": "Redmond, Washington, United States", "about": "I consider myself a learn-it-all...", "photo": "https://media.licdn.com/dms/image/...", "industry": "Technology, Information and Internet", "connections": 500, "followers": 10853794, "experiences": [ { "position": "Chairman and CEO", "company": "Microsoft", "location": "Redmond, Washington, United States", "start_date": "2014-02", "end_date": null, "description": "..." } ], "education": [ { "school": "University of Chicago Booth School of Business", "degree": "Master of Business Administration - MBA", "field_of_study": null, "start_date": "1996", "end_date": "1998" } ], "skills": ["Cloud Computing", "Leadership", "Strategy", "..."], "certifications": null, "languages": ["English", "Hindi"] } ``` **Without cookies** (public page — limited data): ```json { "profile_url": "https://www.linkedin.com/in/satyanadella/", "first_name": "Satya", "last_name": "Nadella", "full_name": "Satya Nadella", "headline": "Chairman and CEO at Microsoft", "location": "Redmond, Washington", "about": "I consider myself a learn-it-all...", "photo": "https://media.licdn.com/dms/image/...", "connections": null, "followers": null, "experiences": [{ "position": "Chairman and CEO", "company": "Microsoft" }], "education": [{ "school": "University of Chicago Booth School of Business" }] } ``` *** ### 🤖 Use it as a real-time API / AI agent tool Enable **Standby mode** and the Actor stays warm, answering HTTP requests instantly — perfect for AI agents, RAG pipelines, and apps that need live people data: ```bash curl "https:///?profile=satyanadella" ## or several at once: curl "https:///?profiles=satyanadella,jeffweiner08" ``` Returns `{ "count": N, "items": [ ... ] }`. AI agents can discover and call this Actor as a tool through the **[Apify MCP server](https://mcp.apify.com)** (Claude, Cursor, Windsurf, and any MCP client). *** ### 💸 Pricing This Actor uses **pay-per-event** pricing: you're billed **per profile that returns data** (`profile-result`). Profiles that come back empty aren't charged. You also pay Apify's standard platform usage for the run. *** ### 🍪 How to get LinkedIn cookies Cookies unlock the full dataset (experience with dates, skills, certifications, languages). Here's how to export them: 1. **Install a cookie-export extension** — [Cookie-Editor](https://cookie-editor.com/) (Chrome/Firefox/Edge) or [EditThisCookie](https://www.editthiscookie.com/) work well. 2. **Log into LinkedIn** at `https://www.linkedin.com` in your browser. 3. **Open the extension** and click **Export** (choose JSON format). This copies all LinkedIn cookies to your clipboard. 4. **Paste the JSON** into the `cookies` input field in this Actor. > **Tip:** The key cookie is `li_at`. If you prefer a minimal setup, you can pass just that one: > > ```json > [{"name": "li_at", "value": "YOUR_LI_AT_VALUE", "domain": ".linkedin.com", "path": "/"}] > ``` > **Note:** Session cookies expire periodically. If you get authentication errors, re-export fresh cookies. *** ### ❓ FAQ **Do I need a LinkedIn account or cookies?** No — public profiles work with no login. The public path uses a real browser and returns the limited public view (name, headline, location, about, recent experience/education). For the complete dataset — full experience history with dates, skills, certifications, languages — provide LinkedIn cookies. **Can I scrape many profiles at once?** Yes. Pass as many profiles as you like in the `profiles` list; each is returned as its own record. **What input formats are accepted?** Full profile URLs (`https://www.linkedin.com/in/`) or just the username (``). **What's the difference between public and cookie-authenticated scraping?** The public page shows a subset of the profile (name, headline, about, recent roles). With cookies, the scraper calls LinkedIn's Voyager API, which returns the full profile: complete experience with dates and descriptions, all skills, certifications, and languages. **Can my AI agent call this automatically?** Yes — run it in Standby mode and connect via the Apify MCP server. Agents get a typed, live people-lookup tool. **Is scraping LinkedIn legal?** You are responsible for how you use scraped data. Scrape only publicly available information and comply with LinkedIn's terms and applicable laws (e.g., GDPR) in your jurisdiction. *** ### 🔧 Tips - Use the **Apify Proxy** (especially residential) for larger runs to reduce blocking. - For the fullest data, run with **cookies**. - Combine with the **LinkedIn Jobs Scraper** to pair open roles with candidate profiles, or with the **LinkedIn Company Profile Scraper** for company context. # Actor input Schema ## `profiles` (type: `array`): LinkedIn profiles to look up. Each item can be a full profile URL (https://www.linkedin.com/in/satyanadella) or just the username ('satyanadella'). Add several to scrape them in one run. ## `cookies` (type: `array`): Optional. Paste your LinkedIn session cookies (JSON export) to access the full profile via the Voyager API — includes complete experience with dates, skills, certifications, and languages. Leave empty to scrape the limited public profile with no login. ## `proxy` (type: `object`): Proxy used for requests. Recommended for larger or authenticated runs. ## `timeout` (type: `integer`): Seconds before the run gives up loading a page, to avoid getting stuck. ## Actor input object example ```json { "profiles": [ "satyanadella", "https://www.linkedin.com/in/jeffweiner08" ], "cookies": [], "proxy": { "useApifyProxy": true }, "timeout": 300 } ``` # Actor output Schema ## `profiles` (type: `string`): One object per scraped LinkedIn profile with fields like full\_name, headline, location, about, experiences, education, skills, certifications, and languages. # 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 = { "profiles": [ "satyanadella" ], "cookies": [], "proxy": { "useApifyProxy": true }, "timeout": 300 }; // Run the Actor and wait for it to finish const run = await client.actor("api_massta/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 = { "profiles": ["satyanadella"], "cookies": [], "proxy": { "useApifyProxy": True }, "timeout": 300, } # Run the Actor and wait for it to finish run = client.actor("api_massta/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 '{ "profiles": [ "satyanadella" ], "cookies": [], "proxy": { "useApifyProxy": true }, "timeout": 300 }' | apify call api_massta/linkedin-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=api_massta/linkedin-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper & API", "description": "Extract LinkedIn profile data — name, headline, experience, education, skills, certifications. Works with or without cookies. Accepts URLs or usernames in bulk. Batch or real-time Standby/MCP API. Pay-per-result.", "version": "0.0", "x-build-id": "ZQfMehJ9yeLSrSTw8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/api_massta~linkedin-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-api_massta-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/api_massta~linkedin-profile-scraper/runs": { "post": { "operationId": "runs-sync-api_massta-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/api_massta~linkedin-profile-scraper/run-sync": { "post": { "operationId": "run-sync-api_massta-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "profiles" ], "properties": { "profiles": { "title": "Profiles", "type": "array", "description": "LinkedIn profiles to look up. Each item can be a full profile URL (https://www.linkedin.com/in/satyanadella) or just the username ('satyanadella'). Add several to scrape them in one run.", "items": { "type": "string" } }, "cookies": { "title": "LinkedIn cookies (optional)", "type": "array", "description": "Optional. Paste your LinkedIn session cookies (JSON export) to access the full profile via the Voyager API — includes complete experience with dates, skills, certifications, and languages. Leave empty to scrape the limited public profile with no login.", "default": [] }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Proxy used for requests. Recommended for larger or authenticated runs." }, "timeout": { "title": "Timeout", "minimum": 60, "maximum": 1000, "type": "integer", "description": "Seconds before the run gives up loading a page, to avoid getting stuck.", "default": 300 } } }, "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 } } } } } } } } } } ```