# LinkedIn Company Scraper (`sourabhbgp/linkedin-company-scraper`) Actor Extract company data from LinkedIn — name, industry, employees, address, followers, posts, similar companies, and more. No login required. HTTP-only, fast, $2/1K results. - **URL**: https://apify.com/sourabhbgp/linkedin-company-scraper.md - **Developed by:** [Sourabh Kumar](https://apify.com/sourabhbgp) (community) - **Categories:** Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 61.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 results 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 Company Scraper — Posts, Similar Companies, Full Address Extract rich structured data from LinkedIn company pages without login or cookies. Get company details, exact employee counts, recent posts, similar companies, and full structured addresses — all via fast HTTP requests. **$2 per 1,000 companies** — the cheapest LinkedIn company scraper on Apify. ### What data can you extract? | Field | Description | |-------|-------------| | Company name | Official company name | | Description | Full about/description text | | Website | Company website URL | | Industry | Industry classification (e.g. Software Development) | | Organization type | Public Company, Nonprofit, etc. | | Employee count | Both exact count (339,815) and range (10,001+) | | Headquarters | HQ location | | Full address | Street, city, state, zip, country — structured | | Follower count | LinkedIn follower count | | Specialties | List of company specialties/tags | | Funding rounds | Number of funding rounds | | Logo URL | Company logo image | | Similar companies | LinkedIn's suggested similar companies with URLs | | Affiliated pages | Showcase/affiliated pages with URLs | | Recent posts | Up to 9 recent posts with text, date, and URL | ### Use cases - **Sales prospecting** — Enrich B2B lead lists with firmographic data, employee counts, and company details - **CRM enrichment** — Add LinkedIn company data to your CRM records at scale - **Competitive intelligence** — Track competitor company profiles, follower growth, and recent posts - **Market research** — Analyze industry distribution, company sizes, and geographic spread - **Recruiting** — Monitor employee counts and company growth signals - **Lead discovery** — Use "similar companies" data to find new prospects from a seed list - **Investment research** — Check funding rounds, employee counts, and company descriptions ### How much does it cost? | Volume | Cost | Per Company | |--------|------|-------------| | 1,000 | $2.00 | $0.002 | | 10,000 | $20.00 | $0.002 | | 100,000 | $200.00 | $0.002 | Plus Apify platform usage (~$0.50 per 1,000 companies for compute). ### Input Provide company URLs or slugs: ```json { "companies": [ "google", "https://www.linkedin.com/company/stripe/", "openai" ], "maxResults": 0 } ```` - **companies** — LinkedIn company URLs or slugs. Accepts full URLs, partial URLs, or bare slugs. - **maxResults** — Maximum companies to scrape. 0 = all provided (default). ### Output example ```json { "companyName": "Google", "companySlug": "google", "companyUrl": "https://www.linkedin.com/company/google", "description": "A problem isn't truly solved until it's solved for all...", "slogan": null, "website": "https://goo.gle/3DLEokh", "industry": "Software Development", "organizationType": "Public Company", "companySizeRange": "10,001+ employees", "exactEmployeeCount": 339815, "headquarters": "Mountain View, CA", "address": { "street": "1600 Amphitheatre Parkway", "city": "Mountain View", "state": "CA", "postalCode": "94043", "country": "US" }, "followerCount": 41346535, "openJobCount": null, "specialties": ["search", "ads", "mobile", "android", "machine learning"], "fundingRounds": 3, "logoUrl": "https://media.licdn.com/dms/image/...", "similarCompanies": [ { "name": "Microsoft", "url": "https://www.linkedin.com/company/microsoft" } ], "affiliatedPages": [ { "name": "Google Developers", "url": "https://www.linkedin.com/showcase/googledevelopers" } ], "recentPosts": [ { "text": "Prerit's path to Security Engineer on the Mandiant...", "datePublished": "2026-04-09T14:44:21.058Z", "url": "https://www.linkedin.com/posts/google_prerits-path-..." } ], "scrapedAt": "2026-04-10T15:00:00.000Z" } ``` ### 🔗 Other LinkedIn scrapers - [LinkedIn Jobs Scraper](https://apify.com/sourabhbgp/linkedin-jobs-scraper) — scrape job listings with salary, description, and filters - [LinkedIn Profile Scraper](https://apify.com/sourabhbgp/linkedin-profile-scraper) — extract name, headline, experience, education, and articles from public profiles - [LinkedIn Ad Library Scraper](https://apify.com/sourabhbgp/linkedin-ad-library-scraper) — search LinkedIn's Ad Library by keyword, company, or payer ### Tips - **URL normalization**: Paste full LinkedIn URLs or just the company slug — both work. - **Unique data**: This is the only LinkedIn company scraper that includes recent posts, similar companies, and affiliated pages. - **Rate limiting**: The actor uses polite 2-second delays between requests to avoid rate limiting. - **Non-existent companies**: Invalid slugs are skipped with a warning, they don't crash the run. # Actor input Schema ## `companies` (type: `array`): LinkedIn company page URLs (e.g. https://www.linkedin.com/company/google/) or just the company slug (e.g. google). ## `maxResults` (type: `integer`): Maximum number of companies to scrape. Set to 0 for all provided. ## Actor input object example ```json { "companies": [ "https://www.linkedin.com/company/google/" ], "maxResults": 0 } ``` # Actor output Schema ## `results` (type: `string`): Scraped company records. # 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 = { "companies": [ "https://www.linkedin.com/company/google/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sourabhbgp/linkedin-company-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 = { "companies": ["https://www.linkedin.com/company/google/"] } # Run the Actor and wait for it to finish run = client.actor("sourabhbgp/linkedin-company-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 '{ "companies": [ "https://www.linkedin.com/company/google/" ] }' | apify call sourabhbgp/linkedin-company-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sourabhbgp/linkedin-company-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Scraper", "description": "Extract company data from LinkedIn — name, industry, employees, address, followers, posts, similar companies, and more. No login required. HTTP-only, fast, $2/1K results.", "version": "0.0", "x-build-id": "Hc1JANkdk8cFZ39Wl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sourabhbgp~linkedin-company-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sourabhbgp-linkedin-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/sourabhbgp~linkedin-company-scraper/runs": { "post": { "operationId": "runs-sync-sourabhbgp-linkedin-company-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/sourabhbgp~linkedin-company-scraper/run-sync": { "post": { "operationId": "run-sync-sourabhbgp-linkedin-company-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", "properties": { "companies": { "title": "Company URLs or Slugs", "type": "array", "description": "LinkedIn company page URLs (e.g. https://www.linkedin.com/company/google/) or just the company slug (e.g. google).", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of companies to scrape. Set to 0 for all provided.", "default": 0 } } }, "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 } } } } } } } } } } ```