# LinkedIn Profile Scraper Pro (`crawlerbros/linkedin-profile-scraper-pro`) Actor Extract LinkedIn profile data including name, headline, experience, education, skills, followers, and recent articles. Works with public profiles and authenticated sessions. - **URL**: https://apify.com/crawlerbros/linkedin-profile-scraper-pro.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Lead generation, Social media, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 15 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $5.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Pro Extract LinkedIn profile data including name, headline, work experience, education, skills, followers, and recent articles. Supports cookie-based authentication for scraping any profile. Without a cookie, only public/influencer profiles are accessible. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `profileUrls` | string[] | Yes | LinkedIn profile URLs or usernames | | `cookie` | string | No | Your LinkedIn `li_at` session cookie. Required for regular profiles. | #### Supported profile formats - `https://www.linkedin.com/in/williamhgates` - `linkedin.com/in/williamhgates` - `in/williamhgates` - `williamhgates` (username only) #### How to get your LinkedIn cookie 1. Log in to LinkedIn in your browser 2. Open DevTools (F12) 3. Go to **Application** > **Cookies** > `https://www.linkedin.com` 4. Find the cookie named `li_at` and copy its **Value** 5. Paste it into the `cookie` input field The cookie typically lasts several months before expiring. #### Example input ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates", "satyanadella" ], "cookie": "AQEDAT..." } ```` > **Note:** Without a cookie, only public/influencer profiles (e.g. Bill Gates, Satya Nadella) will return data. Regular profiles require a valid `li_at` cookie. ### Output Each row in the dataset represents one LinkedIn profile. #### Profile fields | Field | Type | Example | |-------|------|---------| | `name` | string | `"Bill Gates"` | | `headline` | string | `"Co-chair at Bill & Melinda Gates Foundation"` | | `location` | string | `"Seattle, Washington, United States"` | | `summary` | string | Profile description text | | `profileUrl` | string | `"https://www.linkedin.com/in/williamhgates"` | | `profilePicture` | string | Profile photo URL | | `currentTitle` | string | `"Co-chair"` | | `allTitles` | string\[] | All job titles | | `currentPositions` | object\[] | Current work positions | | `pastPositions` | object\[] | Past work positions | | `education` | object\[] | Education history | | `followersCount` | integer | `36000000` | | `recentArticles` | object\[] | Recent posts/articles | | `inputUrl` | string | Original input URL | | `order` | integer | `0` | | `scrapedAt` | string | ISO timestamp | #### Position fields | Field | Type | |-------|------| | `company` | string | | `companyUrl` | string | | `startDate` | string | | `endDate` | string | | `location` | string | #### Education fields | Field | Type | |-------|------| | `school` | string | | `schoolUrl` | string | | `startDate` | string | | `endDate` | string | # Actor input Schema ## `profileUrls` (type: `array`): LinkedIn profile URLs (https://linkedin.com/in/username) or usernames. ## `cookie` (type: `string`): Your LinkedIn session cookie. Accepts either: (1) Just the li\_at value from browser DevTools, or (2) Full cookies JSON array exported from a browser extension like EditThisCookie. Full cookies give better results for authenticated profiles. ## Actor input object example ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates" ] } ``` # Actor output Schema ## `results` (type: `string`): Dataset with scraped LinkedIn profile data # 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("crawlerbros/linkedin-profile-scraper-pro").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("crawlerbros/linkedin-profile-scraper-pro").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 crawlerbros/linkedin-profile-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/linkedin-profile-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper Pro", "description": "Extract LinkedIn profile data including name, headline, experience, education, skills, followers, and recent articles. Works with public profiles and authenticated sessions.", "version": "1.0", "x-build-id": "VOZUzK1X0BAIefcXJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~linkedin-profile-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-linkedin-profile-scraper-pro", "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/crawlerbros~linkedin-profile-scraper-pro/runs": { "post": { "operationId": "runs-sync-crawlerbros-linkedin-profile-scraper-pro", "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/crawlerbros~linkedin-profile-scraper-pro/run-sync": { "post": { "operationId": "run-sync-crawlerbros-linkedin-profile-scraper-pro", "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": "Profile URLs", "minItems": 1, "type": "array", "description": "LinkedIn profile URLs (https://linkedin.com/in/username) or usernames.", "items": { "type": "string" } }, "cookie": { "title": "LinkedIn Cookie", "type": "string", "description": "Your LinkedIn session cookie. Accepts either: (1) Just the li_at value from browser DevTools, or (2) Full cookies JSON array exported from a browser extension like EditThisCookie. Full cookies give better results for authenticated profiles." } } }, "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 } } } } } } } } } } ```