# Linkedin Company Scraper (`api_massta/linkedin-company-scraper`) Actor **Extract LinkedIn company data at scale — overview, website, industry, company size, headquarters, and specialties — for a single company or thousands.** Feed your CRM, enrich leads, research competitors, or give your AI agents live company context. No login required for public profiles. - **URL**: https://apify.com/api\_massta/linkedin-company-scraper.md - **Developed by:** [Sh0ck Labs](https://apify.com/api_massta) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 company scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Profile Scraper & API 🏢 **Extract LinkedIn company data at scale — overview, website, industry, company size, headquarters, and specialties — for a single company or thousands.** Feed your CRM, enrich leads, research competitors, or give your AI agents live company context. No login required for public profiles. Pass a company URL or a plain slug (`stripe`, `microsoft`) and get back clean, structured JSON. Run it as a one-off batch job, schedule it, or turn it into a **real-time API** your apps and AI agents can call. --- ### ✨ What you get - 🏢 **Full company firmographics** — overview/description, website, industry, company size, headquarters, and specialties - 🔢 **Bulk lookups** — pass a whole list of companies in one run - 🔗 **Flexible input** — full LinkedIn company URLs *or* bare slugs/handles - 🆓 **No login for public profiles** — start scraping immediately - 🔐 **Cookies for full data** — supply a LinkedIn session for the complete logged-in view - 🤖 **Real-time API + MCP** — call it live from your code or from AI agents - 💸 **Pay only for results** — you're billed per company that actually returns data --- ### 🎯 Use cases - **Sales & lead generation** — enrich your CRM and prospect lists with company firmographics (size, industry, HQ, website) for better targeting and routing. - **Recruiting & sourcing** — research target employers and build company shortlists. - **Market & competitor research** — profile entire segments and track how companies describe themselves. - **AI agents & RAG pipelines** — give LLM apps fresh, structured company context on demand via the Apify MCP server. - **Investment & due diligence** — pull consistent company snapshots across a portfolio or watchlist. --- ### 📥 Input | Field | Description | |---|---| | `companies` | List of LinkedIn companies — full URLs (`https://www.linkedin.com/company/stripe`) or slugs (`stripe`). | | `cookies` *(optional)* | LinkedIn session cookies (JSON export) for the full logged-in profile. | | `proxy` | Proxy configuration (recommended for larger or authenticated runs). | | `timeout` | Seconds before a page load gives up. | ```json { "companies": ["stripe", "https://www.linkedin.com/company/microsoft"] } ```` ### 📤 Output One record per company: ```json { "company_url": "https://www.linkedin.com/company/stripe/", "overview": "Stripe is a financial infrastructure platform for businesses...", "website": "https://stripe.com", "industry": "Financial Services", "size": "5,001-10,000 employees", "headquarters": "South San Francisco, CA", "specialties": "online payments, APIs, fraud prevention, billing" } ``` *** ### 🤖 Use it as a real-time API / AI agent tool Enable **Standby mode** and the Actor stays warm, answering HTTP requests instantly — perfect for AI agents, RAG pipelines, and apps that need company data on demand: ```bash curl "https:///?company=stripe" ## or several at once: curl "https:///?companies=stripe,microsoft" ``` Returns `{ "count": N, "items": [ ... ] }`. AI agents can discover and call this Actor as a tool through the **[Apify MCP server](https://mcp.apify.com)** (Claude, Cursor, Windsurf, and any MCP client). *** ### 💸 Pricing This Actor uses **pay-per-event** pricing: you're billed **per company that returns data** (`company-result`). Companies that come back empty aren't charged. You also pay Apify's standard platform usage for the run. *** ### ❓ FAQ **Do I need a LinkedIn account or cookies?** No — public company profiles work with no login. LinkedIn renders company pages with JavaScript behind a sign-in prompt, so the public path uses a real browser and returns the limited public view. For the complete, reliable dataset, provide LinkedIn cookies. **Can I scrape many companies at once?** Yes. Pass as many companies as you like in the `companies` list; each is returned as its own record. **What input formats are accepted?** Full company URLs (`https://www.linkedin.com/company/`) or just the slug (``). **Can my AI agent call this automatically?** Yes — run it in Standby mode and connect via the Apify MCP server. Agents get a typed, live company-lookup tool. **Is scraping LinkedIn legal?** You are responsible for how you use scraped data. Scrape only publicly available information and comply with LinkedIn's terms and applicable laws (e.g., GDPR) in your jurisdiction. *** ### 🔧 Tips - Use the **Apify Proxy** (especially residential) for larger runs to reduce blocking. - For the fullest data, run with **cookies**. - Combine with the **LinkedIn Jobs Scraper** to pair open roles with company firmographics. # Actor input Schema ## `companies` (type: `array`): LinkedIn companies to look up. Each item can be a full company URL (https://www.linkedin.com/company/stripe) or just the slug ('stripe'). Add several to scrape them in one run. ## `cookies` (type: `array`): Optional. Paste your LinkedIn session cookies (JSON export) to access the full logged-in company page. Leave empty to scrape the limited public profile with no login. ## `proxy` (type: `object`): Proxy used for requests. Recommended for larger or authenticated runs. ## `timeout` (type: `integer`): Seconds before the run gives up loading a page, to avoid getting stuck. ## Actor input object example ```json { "companies": [ "stripe", "https://www.linkedin.com/company/microsoft" ], "cookies": [], "proxy": { "useApifyProxy": true }, "timeout": 300 } ``` # Actor output Schema ## `companies` (type: `string`): One object per scraped company with fields like overview, website, industry, size, headquarters, and specialties. # 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": [ "stripe" ], "cookies": [], "proxy": { "useApifyProxy": true }, "timeout": 300 }; // Run the Actor and wait for it to finish const run = await client.actor("api_massta/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": ["stripe"], "cookies": [], "proxy": { "useApifyProxy": True }, "timeout": 300, } # Run the Actor and wait for it to finish run = client.actor("api_massta/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": [ "stripe" ], "cookies": [], "proxy": { "useApifyProxy": true }, "timeout": 300 }' | apify call api_massta/linkedin-company-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=api_massta/linkedin-company-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Company Scraper", "description": "**Extract LinkedIn company data at scale — overview, website, industry, company size, headquarters, and specialties — for a single company or thousands.** Feed your CRM, enrich leads, research competitors, or give your AI agents live company context. No login required for public profiles.", "version": "0.0", "x-build-id": "gqhkekXt1wwlnaJF4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/api_massta~linkedin-company-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-api_massta-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/api_massta~linkedin-company-scraper/runs": { "post": { "operationId": "runs-sync-api_massta-linkedin-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/api_massta~linkedin-company-scraper/run-sync": { "post": { "operationId": "run-sync-api_massta-linkedin-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "LinkedIn companies to look up. Each item can be a full company URL (https://www.linkedin.com/company/stripe) or just the slug ('stripe'). Add several to scrape them in one run.", "items": { "type": "string" } }, "cookies": { "title": "LinkedIn cookies (optional)", "type": "array", "description": "Optional. Paste your LinkedIn session cookies (JSON export) to access the full logged-in company page. Leave empty to scrape the limited public profile with no login.", "default": [] }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Proxy used for requests. Recommended for larger or authenticated runs." }, "timeout": { "title": "Timeout", "minimum": 60, "maximum": 1000, "type": "integer", "description": "Seconds before the run gives up loading a page, to avoid getting stuck.", "default": 300 } } }, "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 } } } } } } } } } } ```