# LinkedIn Company Scraper (`ramman/linkedin-company-scraper`) Actor Scrapes public LinkedIn company profile data, including name, website, industry, size, headquarters, Job Urls, founded year, specialties, followers, and about text. - **URL**: https://apify.com/ramman/linkedin-company-scraper.md - **Developed by:** [ramman](https://apify.com/ramman) (community) - **Categories:** Automation, Developer tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results 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 ### What does LinkedIn Company Scraper do? **LinkedIn Company Scraper** extracts company profile details from **LinkedIn company pages** (for example `https://www.linkedin.com/company/microsoft/`). You provide one or more company URLs and the Actor saves structured records into an **Apify dataset**. Typical extracted fields include company name, website, industry, company size, headquarters, founded year, specialties, followers, about text โ€” and (optionally) job posting URLs linked from the company jobs page. This Actor is designed to run on the Apify platform, so you can use **API access, scheduling, integrations, proxy rotation, and run monitoring**. ### Why use LinkedIn Company Scraper? - **Lead generation / enrichment**: build firmographic datasets for outbound and CRM enrichment - **Market research**: compare companies by industry, size, location, and description text - **Automation**: replace manual copy/paste with repeatable, exportable runs - **Easy exports**: download results as JSON, CSV, Excel, or HTML from the Dataset tab ### How to use LinkedIn Company Scraper (step-by-step) 1. Open the Actor in Apify Console and go to the **Input** tab. 2. Paste your LinkedIn company page URLs into **Company URLs**. 3. Keep **Use Apify Proxy** enabled (recommended for LinkedIn). 4. If LinkedIn shows a login wall, add your **`li_at` session cookie** (optional but helps a lot). 5. Click **Start** and wait for the run to finish. 6. Open the **Dataset** tab to view, export, or download your results. ### Input You configure the run from the **Input** tab in Apify Console. #### Main input fields - **`companyUrls` (required)**: LinkedIn company profile URLs to scrape. - **`useApifyProxy` (recommended)**: turns on Apify Proxy to reduce blocks. - **`apifyProxyGroups`**: which proxy group(s) to use (default: `RESIDENTIAL`). - **`linkedInSessionCookie` (`li_at`, optional)**: paste your `li_at` cookie value from a logged-in browser session to improve access when LinkedIn blocks unauthenticated users. - **`linkedInCookies` (advanced, optional)**: pass full cookie objects if you know what youโ€™re doing. - **`maxRequestRetries`**: how many times to retry a failed company page. - **`requestDelaySecs`**: delay between requests to reduce blocking risk. - **`maxJobUrls`**: maximum number of job posting URLs to extract per company. #### Input example ```json { "companyUrls": [ "https://www.linkedin.com/company/microsoft/", "https://www.linkedin.com/company/google/" ], "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "linkedInSessionCookie": "", "maxRequestRetries": 3, "requestDelaySecs": 3, "maxJobUrls": 50 } ```` ### Output The Actor stores results in the **default dataset**. Each dataset item is one company. Example output (simplified): ```json { "companyName": "Microsoft", "linkedinUrl": "https://www.linkedin.com/company/microsoft/", "website": "https://news.microsoft.com/", "industry": "Software Development", "companySize": "10,001+ employees", "headquarters": "Redmond, Washington", "founded": "1975", "specialties": "Business Software, Developer Tools, ...", "followers": "25,000,000 followers", "about": "Every company has a mission...", "jobUrls": [ "https://www.linkedin.com/jobs/view/123...", "https://www.linkedin.com/jobs/view/456..." ] } ``` You can download the dataset in various formats such as **JSON, HTML, CSV, or Excel**. ### Data table (main fields) | Field | Description | | --- | --- | | `companyName` | Official company name | | `linkedinUrl` | LinkedIn company profile URL | | `website` | Company website (if available) | | `industry` | LinkedIn industry label | | `companySize` | Employee count range | | `headquarters` | HQ location | | `founded` | Year founded | | `specialties` | Listed specialties | | `followers` | Follower count text (as shown) | | `about` | Company description / overview | | `jobUrls` | Job posting URLs (up to `maxJobUrls`) | ### Pricing / Cost estimation How much does it cost to scrape LinkedIn company pages? - The main cost driver is **how many company URLs** you scrape and whether LinkedIn requires additional retries / slower browsing. - If you enable **Residential proxies**, success rates are usually better, but proxy usage can increase cost. - To estimate cost quickly, run a small test (e.g. 10 URLs) and extrapolate based on your average time per company. ### Tips & advanced options - If you get blocked or see missing fields, **increase `requestDelaySecs`** and keep concurrency low. - For the best success rate, use **Apify Proxy + `li_at` cookie** (optional). - If you only need company profiles (not job URLs), consider lowering `maxJobUrls` to reduce extra requests. ### FAQ, disclaimers, and support #### Is scraping LinkedIn allowed? Scraping LinkedIn is subject to LinkedInโ€™s Terms of Service and applicable laws. Use this Actor responsibly, respect rate limits, and only collect data you are allowed to process. #### Why do I see partial results? LinkedIn sometimes shows a login wall or rate-limits requests. Using Apify Proxy and (optionally) a valid `li_at` cookie usually improves access, but LinkedIn page structure can change over time. #### Support For issues or feature requests, please use the Actor **Issues** tab in Apify Console. ### For developers (optional) Local development: ```bash npm install apify run ``` # Actor input Schema ## `companyUrls` (type: `array`): LinkedIn company profile URLs to scrape (e.g. https://www.linkedin.com/company/microsoft/). ## `useApifyProxy` (type: `boolean`): Recommended for LinkedIn. Uses Apify residential proxies to reduce login blocks. ## `apifyProxyGroups` (type: `array`): Proxy groups to use. RESIDENTIAL is recommended for LinkedIn. ## `linkedInSessionCookie` (type: `string`): Optional li\_at cookie value from a logged-in LinkedIn browser session. Improves success rate when LinkedIn shows a login wall. ## `linkedInCookies` (type: `array`): Optional full cookie objects to pass to the browser context. ## `maxRequestRetries` (type: `integer`): How many times to retry a failed company page request. ## `requestDelaySecs` (type: `integer`): Minimum delay between requests to linkedin.com to reduce blocking risk. ## `maxJobUrls` (type: `integer`): Maximum number of job posting URLs to extract per company from the jobs page. ## Actor input object example ```json { "companyUrls": [ "https://www.linkedin.com/company/microsoft/", "https://www.linkedin.com/company/google/" ], "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "linkedInCookies": [], "maxRequestRetries": 3, "requestDelaySecs": 3, "maxJobUrls": 50 } ``` # Actor output Schema ## `results` (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 = { "companyUrls": [ "https://www.linkedin.com/company/microsoft/", "https://www.linkedin.com/company/google/" ], "apifyProxyGroups": [ "RESIDENTIAL" ], "linkedInCookies": [] }; // Run the Actor and wait for it to finish const run = await client.actor("ramman/linkedin-company-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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/microsoft/", "https://www.linkedin.com/company/google/", ], "apifyProxyGroups": ["RESIDENTIAL"], "linkedInCookies": [], } # Run the Actor and wait for it to finish run = client.actor("ramman/linkedin-company-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "companyUrls": [ "https://www.linkedin.com/company/microsoft/", "https://www.linkedin.com/company/google/" ], "apifyProxyGroups": [ "RESIDENTIAL" ], "linkedInCookies": [] }' | apify call ramman/linkedin-company-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ramman/linkedin-company-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Scraper", "description": "Scrapes public LinkedIn company profile data, including name, website, industry, size, headquarters, Job Urls, founded year, specialties, followers, and about text.", "version": "0.1", "x-build-id": "y3ETdoEb6weDcrR3C" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ramman~linkedin-company-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ramman-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ramman~linkedin-company-scraper/runs": { "post": { "operationId": "runs-sync-ramman-linkedin-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ramman~linkedin-company-scraper/run-sync": { "post": { "operationId": "run-sync-ramman-linkedin-company-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Company URLs", "type": "array", "description": "LinkedIn company profile URLs to scrape (e.g. https://www.linkedin.com/company/microsoft/).", "items": { "type": "string" } }, "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Recommended for LinkedIn. Uses Apify residential proxies to reduce login blocks.", "default": true }, "apifyProxyGroups": { "title": "Apify Proxy groups", "type": "array", "description": "Proxy groups to use. RESIDENTIAL is recommended for LinkedIn.", "default": [ "RESIDENTIAL" ], "items": { "type": "string" } }, "linkedInSessionCookie": { "title": "LinkedIn session cookie (li_at)", "type": "string", "description": "Optional li_at cookie value from a logged-in LinkedIn browser session. Improves success rate when LinkedIn shows a login wall." }, "linkedInCookies": { "title": "LinkedIn cookies (advanced)", "type": "array", "description": "Optional full cookie objects to pass to the browser context." }, "maxRequestRetries": { "title": "Max request retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "How many times to retry a failed company page request.", "default": 3 }, "requestDelaySecs": { "title": "Delay between requests (seconds)", "minimum": 0, "maximum": 60, "type": "integer", "description": "Minimum delay between requests to linkedin.com to reduce blocking risk.", "default": 3 }, "maxJobUrls": { "title": "Max job URLs", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of job posting URLs to extract per company from the jobs page.", "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 } } } } } } } } } } ```