# LinkedIn Company Scraper - No Cookies, No Login (`aolmo/linkedin-company`) Actor Public LinkedIn company pages without cookies or an account: industry, size, employees on LinkedIn, headquarters and address, website, founded, specialties, followers, locations, similar companies and recent posts. $0.002 per company. - **URL**: https://apify.com/aolmo/linkedin-company.md - **Developed by:** [Antonio del Olmo Tena](https://apify.com/aolmo) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 company scrapeds 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README Scrape LinkedIn company pages without cookies, without a LinkedIn account and without logging in. Paste company URLs and the Actor returns one clean row per company: industry, company size, employees on LinkedIn, headquarters and full address, website, year founded, company type, specialties, followers, logo, all office locations, similar companies, a few employees and the latest posts. Ideal for lead enrichment, account-based marketing, market maps and CRM hygiene. The Actor reads the public company page that LinkedIn shows to logged-out visitors. You pay $0.002 per company. ### What you get One Dataset row per company: - `name`, `tagline`, `description`, `website`, `logo`, `coverImage`. - `industry`, `companySize` (for example "1,001-5,000 employees"), `employeesOnLinkedin` (exact number of members who work there). - `headquarters` and `address` (street, city, region, postal code, country code). - `companyType`, `founded`, `specialties`, `followers`. - `locations` (every office, with the primary one flagged). - `similarPages` and `affiliatedPages` (name, URL, industry, location): great to discover more accounts. - `employeesPreview` (people LinkedIn shows on the public page) and `recentPosts` (URL, date, text, likes). - `changed`: `true` when name, tagline, website, industry, size or headquarters changed since the previous run. Pages that do not exist return a row with an `error` field and are not charged. ### How to use it 1. Open the **Input** tab. 2. Paste company URLs in **Company URLs**, one per line: `https://www.linkedin.com/company/stripe`, `https://es.linkedin.com/company/stripe/about/` or just `stripe`. Showcase and school pages work too. 3. Click **Start** and export the rows as JSON, CSV or Excel. 4. Schedule it to track company changes and headcount over time. ### Input ```json { "companyUrls": ["https://www.linkedin.com/company/stripe", "openai"] } ``` | Field | Description | |-------|-------------| | `companyUrls` | LinkedIn company, showcase or school URLs, or the name from the URL. Up to 1,000 per run. | ### Output example ```json { "name": "Stripe", "tagline": "Help increase the GDP of the internet.", "website": "https://stripe.com", "industry": "Technology, Information and Internet", "companySize": "5,001-10,000 employees", "employeesOnLinkedin": 16609, "headquarters": "South San Francisco, California", "address": { "street": "354 Oyster Point Blvd", "city": "South San Francisco", "region": "California", "postalCode": "94080", "countryCode": "US" }, "companyType": "Privately Held", "founded": 2010, "followers": 1759023, "locations": [{ "address": "354 Oyster Point Blvd, South San Francisco, California 94080, US", "primary": true }], "similarPages": [{ "name": "Atlassian", "url": "https://www.linkedin.com/company/atlassian", "industry": "Software Development", "location": "Sydney, NSW" }], "companyUrl": "https://www.linkedin.com/company/stripe" } ``` ### Pricing Pay per event, no subscription: - **Company scraped**: $0.002 per company. 1,000 companies cost $2. - **Company changed**: $0.002 per company whose name, tagline, website, industry, size or headquarters changed since the previous scheduled run. Pages that cannot be read are free. Other LinkedIn company scrapers charge $4 to $5 per 1,000 companies. ### Use it as an API ```bash curl -X POST "https://api.apify.com/v2/acts/aolmo~linkedin-company/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"companyUrls": ["https://www.linkedin.com/company/stripe"]}' ``` You can also call it from AI agents through the Apify MCP server. ### FAQ **Do I need a LinkedIn account or cookies?** No. The Actor reads the public company page. **Can I search companies by name?** Use the name from the company URL (`linkedin.com/company/`). For a list of company names, a web search for "site:linkedin.com/company name" gives you the URLs. **Why is the number of employees different from the company size?** `companySize` is the range the company declares; `employeesOnLinkedin` counts the members who list it as their employer. **Where is the data stored between runs?** In a Key-Value Store of your account named `micro-saas-state-linkedin-company`, one key per company. # Actor input Schema ## `companyUrls` (type: `array`): One per line: https://www.linkedin.com/company/ (also /showcase/ and /school/ pages) or just the name from the URL. Up to 1,000 per run. ## `product` (type: `string`): Internal. Leave as is. ## Actor input object example ```json { "companyUrls": [ "https://www.linkedin.com/company/stripe", "https://www.linkedin.com/company/openai" ], "product": "linkedin-company" } ``` # Actor output Schema ## `results` (type: `string`): Dataset items: url, changed, events, data, timestamp and error (when the target failed). # 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/stripe", "https://www.linkedin.com/company/openai" ] }; // Run the Actor and wait for it to finish const run = await client.actor("aolmo/linkedin-company").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/stripe", "https://www.linkedin.com/company/openai", ] } # Run the Actor and wait for it to finish run = client.actor("aolmo/linkedin-company").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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/stripe", "https://www.linkedin.com/company/openai" ] }' | apify call aolmo/linkedin-company --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,aolmo/linkedin-company" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/EkUkA00vsKkeGwQoX/builds/aFAJfc5FO2rtI5pRe/openapi.json