# LinkedIn Company Scraper (`keklik/linkedin-company-scraper`) Actor LinkedIn company scraper: export public company pages by URL, slug or ID with website, industry, size, headquarters, followers, employees, locations and similar pages. No login. - **URL**: https://apify.com/keklik/linkedin-company-scraper.md - **Developed by:** [Keklik Technologies](https://apify.com/keklik) (community) - **Categories:** Lead generation, Jobs - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.40 / 1,000 companies This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## LinkedIn Company Scraper **LinkedIn Company Scraper** lets you **scrape LinkedIn company pages** and export them to JSON, CSV or Excel: **website, industry, company size, employees on LinkedIn, followers, founding year, headquarters address, every office location, specialties, description, logo, products, showcase pages and similar companies**. Paste company URLs, page names or LinkedIn company IDs, press Start, and get **one row per company**. **No LinkedIn account, no login and no cookies** are needed. ### What data can you extract from LinkedIn company pages? Each company becomes one row with 30 fields: | Group | Fields | |---|---| | **Identity** | Name, LinkedIn page, page name, LinkedIn company ID, tagline, logo, cover image | | **About** | Description, website, industry, size band, type (public, private, nonprofit), founding year, specialties, phone | | **Counters** | Employees on LinkedIn, followers | | **Headquarters** | Headquarters as shown, plus street, city, region, postal code and country | | **Locations** | Every office address the company lists, with the primary one marked | | **Related pages** | Affiliated companies, showcase pages and similar companies, each with name, URL, industry, location and logo | | **Products** | Products listed on the page, with category and description | ### Use cases - **Lead enrichment**: turn a list of company names or LinkedIn URLs into websites, sizes, industries and headquarters. - **Account-based marketing**: segment target accounts by size, industry and country. - **Market mapping**: follow "Similar pages" to find a company's competitors. - **Investor research**: check employee counts and follower growth over time with a scheduled run. - **CRM cleanup**: fill missing company fields from their LinkedIn page. ### How to scrape LinkedIn company pages 1. Open **LinkedIn Company Scraper** on Apify and click **Try for free**. 2. In **Companies**, paste LinkedIn company URLs, page names or company IDs, one per line. 3. Click **Start**. 100 companies take about a minute. 4. Open the **Output** tab and download the results as JSON, CSV, Excel, XML or HTML, or fetch them with the Apify API. ### Input | Field | What it does | |---|---| | **Companies** | `https://www.linkedin.com/company/stripe/`, `stripe` and `2135371` (Stripe's LinkedIn ID) all work. Showcase pages (`/showcase/...`) work too; university pages (`/school/...`) don't. | | **Max companies** | Scrape only the first this-many companies of the list. | ```json { "companies": ["https://www.linkedin.com/company/stripe/", "apify", "https://www.linkedin.com/showcase/stripe-support"] } ``` ### Output A row from a real run, with lists shortened: ```json { "universal_name": "stripe", "name": "Stripe", "url": "https://www.linkedin.com/company/stripe", "company_id": "2135371", "tagline": "Help increase the GDP of the internet.", "description": "Stripe builds programmable financial services. …", "website": "https://stripe.com", "industry": "Technology, Information and Internet", "company_size": "5,001-10,000 employees", "employees_count": 16694, "followers_count": 1776112, "founded_year": 2010, "headquarters": "South San Francisco, California", "company_type": "Privately Held", "hq_street": "354 Oyster Point Blvd", "hq_locality": "South San Francisco", "hq_region": "California", "hq_postal_code": "94080", "hq_country": "US", "locations": [ { "address": "354 Oyster Point Blvd, South San Francisco, California 94080, US", "lines": ["354 Oyster Point Blvd", "South San Francisco, California 94080, US"], "description": "Primary", "is_primary": true, "maps_query": "354 Oyster Point Blvd South San Francisco 94080 California US" } ], "showcase_pages": [ { "name": "Stripe Partner Ecosystem", "url": "https://www.linkedin.com/showcase/stripe-partner-ecosystem", "industry": "Internet Publishing", "location": "South San Francisco, California" } ], "similar_pages": [ { "name": "Atlassian", "url": "https://www.linkedin.com/company/atlassian", "industry": "Software Development", "location": "Sydney, NSW" } ], "products": [ { "name": "Stripe", "category": "Payment Processing Software", "url": "https://www.linkedin.com/products/stripe" } ], "input": "https://www.linkedin.com/company/stripe/", "scraping_time": "2026-10-19T19:09:12+00:00" } ``` A few fields worth knowing: - **`employees_count`** is the number of people with a LinkedIn profile at the company, not the official headcount. **`company_size`** is the band the company chose itself. - **`universal_name`** is the company's name in its LinkedIn URL. Two inputs that lead to the same company (a URL and its ID, or a renamed company) give one row. - Fields the company left empty on LinkedIn come back empty, for example `founded_year` or `phone`. The **Output** tab has an **Overview** view. You can export the dataset to **JSON, CSV, Excel, XML and HTML**. ### How much does it cost to scrape LinkedIn company pages? LinkedIn Company Scraper uses **pay-per-event pricing**: you pay only for the companies you get. - **$2.50 per 1,000 companies** on the Apify Free plan. - Bronze, Silver and Gold Apify plans pay less: $2.20, $1.90 and $1.40 per 1,000 companies. - Companies that fail are not results, so you are not charged for them. The Apify Free plan's monthly credits let you try the scraper before you pay. ### Integrations and API You can run LinkedIn Company Scraper from your own code with the **Apify API**. **Python** ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("keklik/linkedin-company-scraper").call( run_input={"companies": ["stripe", "apify"]} ) for company in client.dataset(run["defaultDatasetId"]).iterate_items(): print(company["name"], company["website"], company["company_size"]) ``` **Node.js** ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: '' }); const run = await client.actor('keklik/linkedin-company-scraper').call({ companies: ['stripe', 'apify'], }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items.map((c) => [c.name, c.website])); ``` You can also: - **Schedule** runs to track employee and follower counts over time. - Use **webhooks** to get notified, or trigger your own pipeline, when a run finishes. - Connect the results to **Make, Zapier, Google Sheets**, Airbyte and other tools through Apify integrations. - Give AI agents access through the **Apify MCP server**, so Claude, ChatGPT or Cursor can look up companies for you. ### FAQ #### Is it legal to scrape LinkedIn company pages? This scraper collects only company pages that LinkedIn shows publicly to visitors who are not logged in. Company pages are business information, but check that your use follows the laws that apply to you. If you are unsure, ask a lawyer. #### Do I need a LinkedIn account? No. You don't need a LinkedIn account, a login or cookies, and the scraper never uses yours. #### Can I use a LinkedIn company ID? Yes, but only for companies with at least one open job on LinkedIn: the scraper finds the company's page through its jobs. For other companies, use the company URL or page name. #### Why did some companies fail? Companies that fail are listed, with the reason, in the **`FAILED`** record of the run's key-value store (open the run, then **Storage**, then **Key-value store**): - **`invalid_input`**: not a LinkedIn company URL, page name or ID. - **`not_found`**: no LinkedIn page has that name. - **`company_id_not_found`**: the company ID has no open jobs, so its page can't be found. Use the company URL. - **`school_page`**: university pages are not supported. - **`blocked`**: LinkedIn refused every attempt. Run it again later. #### Do I need to set up proxies? No. There is nothing to configure. ### Related scrapers - [LinkedIn Jobs Scraper](https://apify.com/keklik/linkedin-jobs-scraper): the jobs these companies are hiring for, with salaries and descriptions. - [Google Maps Leads Scraper](https://apify.com/keklik/google-maps-leads-scraper): phone numbers, websites and emails of local businesses. ### Support Found a bug or missing a field? Open an issue in the **Issues** tab and we'll look at it. Need a custom LinkedIn scraper or data in a different format? Contact us through Apify and we'll build it for you. # Changelog This Actor's version history is a separate document: https://apify.com/keklik/linkedin-company-scraper/changelog.md # Actor input Schema ## `companies` (type: `array`): LinkedIn company or showcase page URLs (linkedin.com/company/stripe), page names as in the URL (stripe), or numeric LinkedIn company IDs. A company ID only works when the company has open jobs on LinkedIn. University pages (/school/) are not supported. ## `maxResults` (type: `integer`): Scrape only the first this-many companies of the list. Leave empty for all. ## Actor input object example ```json { "companies": [ "https://www.linkedin.com/company/stripe/", "apify" ] } ``` # Actor output Schema ## `results` (type: `string`): One row per company: name, website, industry, size, headquarters, followers, locations and related pages. # 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/stripe/", "apify" ] }; // Run the Actor and wait for it to finish const run = await client.actor("keklik/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/stripe/", "apify", ] } # Run the Actor and wait for it to finish run = client.actor("keklik/linkedin-company-scraper").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 '{ "companies": [ "https://www.linkedin.com/company/stripe/", "apify" ] }' | apify call keklik/linkedin-company-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,keklik/linkedin-company-scraper" } } } ``` 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/xwlGHTEaV03nWujXj/builds/cxb1O66XqfXx2MofS/openapi.json