# LinkedIn Public Company Scraper (`cryptosignals/linkedin-company-scraper`) Actor Scrape public LinkedIn company pages. Extract name, tagline, description, employee count, follower count, industry, headquarters, founded year, website, specialties. No login required. - **URL**: https://apify.com/cryptosignals/linkedin-company-scraper.md - **Developed by:** [Web Data Labs](https://apify.com/cryptosignals) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Public Company Scraper — No Login Required Scrape public LinkedIn company pages and get clean, structured JSON. No LinkedIn login, no API keys, no credentials. Perfect for B2B sales intelligence, investor research, hiring signals, and market mapping. ### What It Does This actor fetches publicly available data from LinkedIn company pages. It works by reading meta tags, Open Graph data, and JSON-LD structured data — no LinkedIn login or cookies required. Supports batch scraping of multiple companies in a single run. ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `companies` | array | Yes | — | Company slugs (e.g. `microsoft`) or full URLs (e.g. `https://linkedin.com/company/microsoft`). | | `max_results` | integer | No | 50 | Maximum number of companies to scrape (max 50). | ### Output ```json { "company_id": "microsoft", "name": "Microsoft", "tagline": "Every company has a mission...", "description": "Microsoft is a technology company...", "industry": "Software Development", "employee_count": "10001+", "follower_count": "23000000", "headquarters": "Redmond, Washington, US", "founded_year": 1975, "website": "https://www.microsoft.com", "specialties": ["Cloud", "Productivity", "AI"], "logo_url": "https://media.licdn.com/...", "company_url": "https://www.linkedin.com/company/microsoft", "scraped_at": "2026-05-01T12:00:00+00:00" } ```` ### Pricing — Pay-Per-Event (PPE) Starting **May 17, 2026**, this actor uses Pay-Per-Event pricing: **$0.008 per company scraped**. The first 5 events are free for testing. No surprise compute bills — pay only for results you actually receive. ### Use Cases - **B2B sales intelligence** — Build qualified lead lists with company size, industry, location - **Investor research** — Track portfolio companies, founding year, headcount growth - **Hiring signals** — Spot fast-growing companies with rising follower counts - **Market mapping** — Build a complete view of competitors and adjacent players ### How to Run via API ```python import requests run = requests.post( "https://api.apify.com/v2/acts/cryptosignals~linkedin-company-scraper/runs", params={"token": "YOUR_API_TOKEN"}, json={ "companies": ["microsoft", "stripe", "shopify"], "max_results": 10, }, ).json() dataset_id = run["data"]["defaultDatasetId"] results = requests.get( f"https://api.apify.com/v2/datasets/{dataset_id}/items" ).json() for c in results: print(f"{c['name']} — {c.get('industry')} — {c.get('headquarters')}") ``` ### Proxy Recommendation LinkedIn restricts datacenter IPs. For reliable scraping at scale, use residential proxies. We recommend [ThorData](https://thordata.partnerstack.com/partner/0a0x4nzh). ### Related Actors - [cryptosignals/linkedin-profile-scraper](https://apify.com/cryptosignals/linkedin-profile-scraper) — Scrape public profiles - [cryptosignals/linkedin-jobs-scraper](https://apify.com/cryptosignals/linkedin-jobs-scraper) — Scrape job postings ### Disclaimer This actor scrapes only publicly accessible LinkedIn data. Users are responsible for complying with LinkedIn's Terms of Service and applicable data protection laws (GDPR, CCPA) in their jurisdiction. ### ⭐ Leave a Review If this actor saved you time, a quick [review on the Apify Store](https://apify.com/cryptosignals/linkedin-company-scraper) helps other developers find it. # Actor input Schema ## `companies` (type: `array`): List of company slugs (e.g. 'microsoft') or full LinkedIn URLs (https://linkedin.com/company/microsoft). ## `max_results` (type: `integer`): Maximum number of companies to scrape (max 50). Free tier returns first 3 results in full; the rest require a paid Apify plan. ## Actor input object example ```json { "companies": [ "microsoft", "stripe", "shopify" ], "max_results": 50 } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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": [ "microsoft", "stripe", "shopify" ], "max_results": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("cryptosignals/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": [ "microsoft", "stripe", "shopify", ], "max_results": 50, } # Run the Actor and wait for it to finish run = client.actor("cryptosignals/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": [ "microsoft", "stripe", "shopify" ], "max_results": 50 }' | apify call cryptosignals/linkedin-company-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cryptosignals/linkedin-company-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Public Company Scraper", "description": "Scrape public LinkedIn company pages. Extract name, tagline, description, employee count, follower count, industry, headquarters, founded year, website, specialties. No login required.", "version": "1.0", "x-build-id": "Hsz4U7gVA3ipLa8Li" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cryptosignals~linkedin-company-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cryptosignals-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cryptosignals~linkedin-company-scraper/runs": { "post": { "operationId": "runs-sync-cryptosignals-linkedin-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cryptosignals~linkedin-company-scraper/run-sync": { "post": { "operationId": "run-sync-cryptosignals-linkedin-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companies" ], "properties": { "companies": { "title": "Companies", "type": "array", "description": "List of company slugs (e.g. 'microsoft') or full LinkedIn URLs (https://linkedin.com/company/microsoft).", "items": { "type": "string" } }, "max_results": { "title": "Max Results", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of companies to scrape (max 50). Free tier returns first 3 results in full; the rest require a paid Apify plan.", "default": 50 } } }, "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 } } } } } } } } } } ```