# LinkedIn Company Employees Scraper (`crawlerbros/linkedin-company-employees-scraper`) Actor Scrape employee profiles from any LinkedIn company page. Find engineers, executives, or sales teams at target companies for recruitment, lead generation, and market research. - **URL**: https://apify.com/crawlerbros/linkedin-company-employees-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Jobs, Lead generation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 Company Employees Scraper Scrape employee profiles from any LinkedIn company page. Ideal for recruitment, sales prospecting, competitive intelligence, and organizational research. ### Features - Scrape employees from one or multiple company pages - Filter by job keywords (e.g., "Senior Engineer", "VP Sales") - Filter by location, connection degree, and seniority level - Returns name, headline, location, profile URL, and profile picture - Works without Playwright — pure HTTP via LinkedIn's Voyager API - Handles rate limits with automatic retry and exponential backoff ### Input | Field | Type | Required | Description | |---|---|---|---| | `companyUrls` | array | ✅ | LinkedIn company URLs or slugs | | `cookie` | string | ✅ | LinkedIn session cookie (li_at or full JSON) | | `maxEmployees` | integer | | Max employees per company (default: 50, max: 1000) | | `keywords` | string | | Filter by role/keyword (e.g., "Software Engineer") | | `location` | string | | Filter by location (e.g., "New York", "Remote") | | `connectionDegree` | string | | F = 1st degree, S = 2nd, O = 3rd+ | | `seniorityLevel` | string | | Entry level, Associate, Mid-Senior level, Director, Executive | | `proxyConfiguration` | object | | Apify proxy settings (residential recommended) | #### Cookie Format You can provide your LinkedIn cookie in two ways: 1. **Plain li_at value**: Copy the `li_at` cookie value from browser DevTools (Application → Cookies). 2. **Full cookie JSON**: Export all cookies as a JSON array using an extension like EditThisCookie or Cookie-Editor. ### Output Each employee profile contains: | Field | Description | |---|---| | `name` | Full name | | `headline` | LinkedIn headline (title + company) | | `location` | Location as shown on LinkedIn | | `profileUrl` | Direct link to LinkedIn profile | | `profilePicture` | CDN URL of profile photo | | `currentCompany` | Company name (from input) | | `companySlug` | Normalized company slug | | `connectionDegree` | 1st, 2nd, 3rd+, or OUT_OF_NETWORK | | `openToWork` | True if profile has Open to Work badge | | `premium` | True if LinkedIn Premium member | | `scrapedAt` | UTC timestamp | ### Use Cases - **Recruitment**: Find engineers, designers, or executives at target companies - **Sales prospecting**: Build contact lists at potential clients - **Market research**: Analyze team composition and growth - **Competitive intelligence**: Track hiring patterns at competitors ### Limitations - LinkedIn limits people search results to ~1,000 profiles per company - Very large companies may return a representative sample rather than all employees - A valid LinkedIn session cookie is required - Cookies expire periodically — refresh if you see auth errors ### FAQs **Q: How many employees can I scrape per company?** LinkedIn typically surfaces 200–1,000 visible employee profiles. Set `maxEmployees` accordingly. **Q: Will my account get banned?** This actor uses official Voyager API endpoints with human-like delays. Use residential proxies and reasonable rate limits for best results. **Q: What's the difference between the keyword filter and the seniority filter?** Keywords search within profile text (headline, job title). Seniority filter is a structured LinkedIn filter applied at the API level. **Q: Can I scrape employees without a cookie?** No — LinkedIn's people search requires an authenticated session. ### Explore the rest of the LinkedIn suite Need a different LinkedIn surface? Pair this actor with any of the others in the LinkedIn Suite — all published under the same publisher and built to share the same cookie format and output conventions. | Actor | What it scrapes | |---|---| | [LinkedIn Comments Scraper](https://apify.com/crawlerbros/linkedin-comments-scraper) | All comments + reply threads on a post | | [LinkedIn Company Info Scraper](https://apify.com/crawlerbros/linkedin-company-info-scraper) | Company About page (size, HQ, industry, specialties) | | [LinkedIn Company Posts Scraper](https://apify.com/crawlerbros/linkedin-company-posts-scraper) | Posts published from a company page | | [LinkedIn Events Scraper](https://apify.com/crawlerbros/linkedin-events-scraper) | Events by keyword/URL with full event detail | | [LinkedIn Hashtag Posts Scraper](https://apify.com/crawlerbros/linkedin-hashtag-posts-scraper) | Posts ranked under a `#hashtag` | | [LinkedIn Jobs Scraper](https://apify.com/crawlerbros/linkedin-jobs-scraper) | Job listings via the public jobs-guest API | | [LinkedIn Jobs Scraper Ultra](https://apify.com/crawlerbros/linkedin-jobs-scraper-ultra) | Same as jobs-scraper + full detail enrichment | | [LinkedIn Learning Courses Scraper](https://apify.com/crawlerbros/linkedin-learning-courses-scraper) | LinkedIn Learning course catalog by keyword | | [LinkedIn People Search Scraper](https://apify.com/crawlerbros/linkedin-people-search-scraper) | People search with every LinkedIn facet (role, company, school, location, etc.) | | [LinkedIn Post Reactions Scraper](https://apify.com/crawlerbros/linkedin-post-reactions-scraper) | Reactors on a post (name, headline, reaction type) | | [LinkedIn Post Scraper](https://apify.com/crawlerbros/linkedin-post-scraper) | Full post (text, media, engagement counts, author) | | [LinkedIn Post Search Scraper](https://apify.com/crawlerbros/linkedin-post-search-scraper) | Posts matching a keyword (with date/author/network filters) | | [LinkedIn Profile Posts Scraper](https://apify.com/crawlerbros/linkedin-profile-posts-scraper) | All posts/reposts/articles for one profile | | [LinkedIn Profile Scraper](https://apify.com/crawlerbros/linkedin-profile-scraper) | Public profile fields (name, headline, positions, education, skills) | | [LinkedIn Profile Scraper Pro](https://apify.com/crawlerbros/linkedin-profile-scraper-pro) | Profile fields + extras (recommendations, organizations, languages) | | [LinkedIn Profile Scraper Pro Ultra](https://apify.com/crawlerbros/linkedin-profile-scraper-pro-ultra) | Pro + premium fields (contact info, followers list when allowed) | | [LinkedIn Profile Scraper Ultra](https://apify.com/crawlerbros/linkedin-profile-scraper-ultra) | Profile + the full upstream dash-120 surface | | [LinkedIn Profile Search by Name](https://apify.com/crawlerbros/linkedin-profile-search-by-name) | Search profiles by person name (great for matching CSVs of names) | | [LinkedIn Schools Alumni Scraper](https://apify.com/crawlerbros/linkedin-schools-alumni-scraper) | Alumni list for any LinkedIn school page | | [LinkedIn Top Content Scraper](https://apify.com/crawlerbros/linkedin-top-content-scraper) | Trending / top-engagement posts by topic | | [LinkedIn User Activity Scraper](https://apify.com/crawlerbros/linkedin-user-activity-scraper) | Reactions + comments + posts feed for one profile | All actors share the same `cookie` input format (plain `li_at` OR full cookies JSON array) and the same omit-empty output convention. # Actor input Schema ## `companyUrls` (type: `array`): LinkedIn company page URLs or slugs. Accepts: https://www.linkedin.com/company/microsoft/, https://www.linkedin.com/company/microsoft/about/, or just the slug: microsoft ## `cookie` (type: `string`): Your LinkedIn session cookie. Accepts: (1) the li_at value from browser DevTools, or (2) full cookies JSON array from an extension like EditThisCookie. ## `maxEmployees` (type: `integer`): Maximum number of employee profiles to scrape per company. LinkedIn typically surfaces 200-1000 employees for large companies. ## `keywords` (type: `string`): Optional keyword to narrow results (e.g., 'Software Engineer', 'VP Sales'). Leave blank to return all visible employees. ## `location` (type: `string`): Filter employees by location (e.g., 'New York', 'London', 'Remote'). ## `connectionDegree` (type: `string`): Filter by LinkedIn connection degree: F = 1st, S = 2nd, O = 3rd+ ## `seniorityLevel` (type: `string`): Filter by seniority level. ## `function` (type: `string`): Filter employees by job function (e.g., Engineering, Sales). ## `currentCompany` (type: `boolean`): When true, restrict results to people currently working at the company. When false, include past employees as well. ## `language` (type: `string`): Filter by primary profile language. ## `proxyConfiguration` (type: `object`): Optional Apify proxy configuration. Residential proxy recommended for best results. ## Actor input object example ```json { "companyUrls": [ "https://www.linkedin.com/company/hubspot/" ], "maxEmployees": 50, "connectionDegree": "", "seniorityLevel": "", "function": "", "currentCompany": true, "language": "" } ```` # 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 = { "companyUrls": [ "https://www.linkedin.com/company/hubspot/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/linkedin-company-employees-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 = { "companyUrls": ["https://www.linkedin.com/company/hubspot/"] } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/linkedin-company-employees-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 '{ "companyUrls": [ "https://www.linkedin.com/company/hubspot/" ] }' | apify call crawlerbros/linkedin-company-employees-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/linkedin-company-employees-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Employees Scraper", "description": "Scrape employee profiles from any LinkedIn company page. Find engineers, executives, or sales teams at target companies for recruitment, lead generation, and market research.", "version": "0.28", "x-build-id": "GOB3JR4RlwYmXoTYC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~linkedin-company-employees-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-linkedin-company-employees-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~linkedin-company-employees-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-linkedin-company-employees-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~linkedin-company-employees-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-linkedin-company-employees-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companyUrls", "cookie" ], "properties": { "companyUrls": { "title": "Company URLs", "type": "array", "description": "LinkedIn company page URLs or slugs. Accepts: https://www.linkedin.com/company/microsoft/, https://www.linkedin.com/company/microsoft/about/, or just the slug: microsoft", "items": { "type": "string" } }, "cookie": { "title": "LinkedIn Cookie", "type": "string", "description": "Your LinkedIn session cookie. Accepts: (1) the li_at value from browser DevTools, or (2) full cookies JSON array from an extension like EditThisCookie." }, "maxEmployees": { "title": "Max Employees Per Company", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of employee profiles to scrape per company. LinkedIn typically surfaces 200-1000 employees for large companies.", "default": 50 }, "keywords": { "title": "Keyword Filter", "type": "string", "description": "Optional keyword to narrow results (e.g., 'Software Engineer', 'VP Sales'). Leave blank to return all visible employees." }, "location": { "title": "Location Filter", "type": "string", "description": "Filter employees by location (e.g., 'New York', 'London', 'Remote')." }, "connectionDegree": { "title": "Connection Degree", "enum": [ "", "F", "S", "O" ], "type": "string", "description": "Filter by LinkedIn connection degree: F = 1st, S = 2nd, O = 3rd+", "default": "" }, "seniorityLevel": { "title": "Seniority Level", "enum": [ "", "Entry", "Associate", "Mid-Senior", "Director", "Executive" ], "type": "string", "description": "Filter by seniority level.", "default": "" }, "function": { "title": "Job Function", "enum": [ "", "Engineering", "Sales", "Marketing", "Operations", "Finance", "Human Resources", "Design", "Product", "Customer Service", "Information Technology", "Legal", "Other" ], "type": "string", "description": "Filter employees by job function (e.g., Engineering, Sales).", "default": "" }, "currentCompany": { "title": "Restrict to Current Employees", "type": "boolean", "description": "When true, restrict results to people currently working at the company. When false, include past employees as well.", "default": true }, "language": { "title": "Profile Language", "enum": [ "", "en", "es", "fr", "de", "pt", "it", "nl", "zh", "ja" ], "type": "string", "description": "Filter by primary profile language.", "default": "" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional Apify proxy configuration. Residential proxy recommended for best results." } } }, "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 } } } } } } } } } } ```