# LinkedIn Company Scraper (`seemuapps/linkedin-company-scraper`) Actor Scrape public LinkedIn company pages by URL extract followers, employees, industries, funding, locations, and similar companies for any organization. - **URL**: https://apify.com/seemuapps/linkedin-company-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Lead generation, Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 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 Extract public LinkedIn company page data by URL — followers, employee count, industries, funding, locations, similar companies, and featured employees. No login required. ### What you get - **Company identity** — name, slug, logo, banner image, and slogan - **About and description** — full company bio and LinkedIn description text - **Website and contact** — official website URL - **Location data** — headquarters city, all office locations, and country codes - **Size and structure** — follower count, LinkedIn employee count, company size range, and organization type - **Industry and specialties** — primary industry classification and specialty tags - **Founded year** — when the company was established - **Funding and investors** — funding rounds and investor information (when available) - **Stock info** — ticker and exchange data for public companies (when available) - **Featured employees** — sample of employee profiles shown on the company page - **Similar companies** — related organizations LinkedIn surfaces on the page - **Affiliated companies** — parent or subsidiary companies (when available) - **Recent updates** — company posts and announcements (when available) - **Crunchbase link** — cross-reference URL to the company's Crunchbase profile (when available) ### Use cases - **Market research** — benchmark company size, follower growth, and industry positioning against competitors - **Lead generation** — build a prospect list of companies by industry, size, and location - **Investor research** — track funding rounds, investors, and company growth signals - **Competitive intelligence** — monitor similar companies surfaced by LinkedIn for a target organization - **Sales prospecting** — enrich a target account list with headcount, HQ location, and website - **Recruiting** — find companies in a niche by industry and employee count before outreach - **CRM enrichment** — append LinkedIn company data to existing records using company page URLs ### How to use 1. Paste one or more LinkedIn company page URLs into the **LinkedIn Company URLs** field (e.g. `https://www.linkedin.com/company/apple`) — up to 20 per run 2. Run the actor — results appear in the **Dataset** tab 3. Export to JSON, CSV, or push directly to Google Sheets or your storage ### Input | Field | Type | Required | Description | |---|---|---|---| | `companyURLs` | `string[]` | ✅ | LinkedIn company page URLs to scrape — maximum 20 per run | #### Example input ```json { "companyURLs": [ "https://www.linkedin.com/company/apple", "https://www.linkedin.com/company/google" ] } ```` ### Output One dataset record per LinkedIn company URL: ```json { "companyId": "1441", "slug": "apple", "url": "https://www.linkedin.com/company/apple", "name": "Apple", "logo": "https://media.licdn.com/dms/image/...", "image": "https://media.licdn.com/dms/image/...", "slogan": "Think different.", "about": "We're a diverse collective of thinkers and doers...", "description": "Apple | 18M followers on LinkedIn.", "website": "https://www.apple.com/careers", "headquarters": "Cupertino, California", "locations": ["Cupertino, California, US"], "countryCode": "US", "countryCodes": ["US"], "followers": 18000000, "employeesOnLinkedIn": 168000, "companySize": "10,001+ employees", "organizationType": "Public Company", "industries": "Consumer Electronics", "specialties": "Innovative Product Development, World-Class Operations...", "founded": "1976", "crunchbaseUrl": "https://www.crunchbase.com/organization/apple", "stockInfo": { "ticker": "AAPL", "exchange": "NASDAQ" }, "funding": null, "investors": null, "affiliated": null, "updates": null, "additionalInformation": null, "alumni": null, "alumniInformation": null, "directionsUrls": ["https://www.bing.com/maps?where=Cupertino+California+US"], "employees": [ { "title": "Tim Cook", "subtitle": "CEO at Apple • 5M followers", "profileUrl": "https://www.linkedin.com/in/timcook", "imageUrl": "https://media.licdn.com/dms/image/..." } ], "similar": [ { "title": "Microsoft", "subtitle": "Software Development", "location": "Redmond, Washington", "url": "https://www.linkedin.com/company/microsoft" } ] } ``` #### Output fields | Field | Type | Description | |---|---|---| | `companyId` | `string` | LinkedIn internal numeric company ID | | `slug` | `string` | LinkedIn company slug (from the URL) | | `url` | `string` | Canonical LinkedIn company page URL | | `name` | `string` | Company display name | | `logo` | `string` | Company logo image URL | | `image` | `string` | Company banner image URL | | `slogan` | `string` | Company tagline or slogan | | `about` | `string` | Full company about / bio text | | `description` | `string` | Short LinkedIn description (e.g. "Apple | 18M followers on LinkedIn.") | | `website` | `string` | Company website URL | | `headquarters` | `string` | Primary headquarters city and region | | `locations` | `string[]` | All office locations | | `countryCode` | `string` | Primary country ISO 3166-1 alpha-2 code | | `countryCodes` | `string[]` | All country codes for office locations | | `followers` | `number` | LinkedIn follower count | | `employeesOnLinkedIn` | `number` | Number of employees with LinkedIn profiles linked to this company | | `companySize` | `string` | Employee size range (e.g. `"10,001+ employees"`) | | `organizationType` | `string` | Organization type (e.g. `"Public Company"`, `"Privately Held"`, `"Nonprofit"`) | | `industries` | `string` | Primary industry classification | | `specialties` | `string` | Comma-separated specialty tags | | `founded` | `string` | Year the company was founded | | `crunchbaseUrl` | `string` | Link to the company's Crunchbase profile | | `stockInfo` | `object\|null` | Stock ticker and exchange for public companies | | `funding` | `object\|null` | Funding round data (when available) | | `investors` | `object\|null` | Investor list (when available) | | `affiliated` | `object\|null` | Parent or subsidiary company links (when available) | | `updates` | `object\|null` | Recent company posts and announcements (when available) | | `additionalInformation` | `object\|null` | Extra structured data LinkedIn surfaces on the page (when available) | | `alumni` | `object\|null` | Notable alumni information (when available) | | `alumniInformation` | `object\|null` | Extended alumni data (when available) | | `directionsUrls` | `string[]` | Bing Maps links for each office location | | `employees` | `array` | Sample of employee profiles shown on the company page | | `employees[].title` | `string` | Employee name | | `employees[].subtitle` | `string` | Employee headline and follower count | | `employees[].profileUrl` | `string` | LinkedIn profile URL | | `employees[].imageUrl` | `string` | Profile photo URL | | `similar` | `array` | Related companies surfaced by LinkedIn | | `similar[].title` | `string` | Company name | | `similar[].subtitle` | `string` | Industry or category label | | `similar[].location` | `string` | Company location | | `similar[].url` | `string` | LinkedIn company page URL | ### Notes - Only **public** LinkedIn company pages are supported — private or restricted pages will be skipped with an error logged - `employeesOnLinkedIn` reflects the count of LinkedIn members who list this company as their employer — it differs from the company's actual headcount - `funding`, `investors`, `stockInfo`, and `affiliated` fields are `null` when LinkedIn does not surface that information on the public page - `employees` shows a small sample of featured employees, not the full employee list — use a people search actor to enumerate employees - URLs with `/organization-guest/company/` path format are supported in addition to the standard `/company/` format # Actor input Schema ## `companyURLs` (type: `array`): One or more LinkedIn company page URLs to scrape (e.g. https://www.linkedin.com/company/apple). Maximum 20 per run. ## Actor input object example ```json { "companyURLs": [ "https://www.linkedin.com/company/apple", "https://www.linkedin.com/company/google" ] } ``` # Actor output Schema ## `results` (type: `string`): Each record contains: companyId, slug, url, name, logo, image, slogan, about, description, website, headquarters, locations, countryCode, countryCodes, followers, employeesOnLinkedIn, companySize, organizationType, industries, specialties, founded, crunchbaseUrl, stockInfo, funding, investors, affiliated, updates, employees, similar. # 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/apple", "https://www.linkedin.com/company/google" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/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 = { "companyURLs": [ "https://www.linkedin.com/company/apple", "https://www.linkedin.com/company/google", ] } # Run the Actor and wait for it to finish run = client.actor("seemuapps/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 '{ "companyURLs": [ "https://www.linkedin.com/company/apple", "https://www.linkedin.com/company/google" ] }' | apify call seemuapps/linkedin-company-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/linkedin-company-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Scraper", "description": "Scrape public LinkedIn company pages by URL extract followers, employees, industries, funding, locations, and similar companies for any organization.", "version": "1.0", "x-build-id": "3n1o01ME51JQDSKfX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~linkedin-company-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~linkedin-company-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-linkedin-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~linkedin-company-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-linkedin-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "companyURLs" ], "properties": { "companyURLs": { "title": "LinkedIn Company URLs", "type": "array", "description": "One or more LinkedIn company page URLs to scrape (e.g. https://www.linkedin.com/company/apple). Maximum 20 per run.", "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 } } } } } } } } } } ```