# LinkedIn Company Data Scraper API (`moving_beacon-owner1/my-actor-7`) Actor Scrape company profiles, industries, employees, and more with scalable concurrency and anti-blocking proxy support. - **URL**: https://apify.com/moving\_beacon-owner1/my-actor-7.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Developer tools, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $10.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 Page Scraper Extracts structured company data from public company pages. ### Features - **JSON-LD extraction** — parses structured data when available for maximum accuracy - **HTML fallback** — scrapes page elements when JSON-LD is absent - **Configurable sections** — toggle extraction of updates, locations, and similar companies - **Proxy support** — built-in Apify proxy integration to avoid blocking - **Concurrent requests** — configurable concurrency with polite delays ### Input | Field | Type | Default | Description | |---|---|---|---| | `companySlugs` | `string[]` | `["google"]` | Company URL slugs to scrape | | `startUrls` | `RequestList` | `[]` | Full company page URLs (alternative to slugs) | | `extractUpdates` | `boolean` | `false` | Extract recent posts/updates | | `extractLocations` | `boolean` | `false` | Extract office locations | | `extractSimilarCompanies` | `boolean` | `true` | Extract similar companies | | `maxConcurrency` | `integer` | `3` | Max parallel requests | | `delayBetweenRequests` | `integer` | `2000` | Delay between requests (ms) | | `proxyConfiguration` | `object` | — | Apify proxy settings | ### Example Input ```json { "companySlugs": ["google", "microsoft", "openai"], "extractUpdates": true, "extractLocations": true, "maxConcurrency": 2, "delayBetweenRequests": 3000, "proxyConfiguration": { "useApifyProxy": true } } ```` ### Output Each company record is pushed to the default dataset with fields like: ```json { "name": "Google", "industry": "Technology, Information and Internet", "location": "Mountain View, CA", "followers": "38000000", "company_size": "10,001+ employees", "website": "https://goo.gle/3m1IN61", "employees": "10,001+", "description": "...", "specialties": ["search", "ads", "cloud", "..."], "similar_companies": ["meta", "apple", "amazon"], "slug": "google", "url": "https://www.linkedin.com/company/google/" } ``` # Actor input Schema ## `companySlugs` (type: `array`): List of company URL slugs to scrape (e.g., 'google', 'microsoft', 'openai'). ## `startUrls` (type: `array`): Full company page URLs to scrape. Use this OR companySlugs. ## `extractUpdates` (type: `boolean`): Whether to extract recent company posts/updates (may be limited without login). ## `extractLocations` (type: `boolean`): Whether to extract company office locations. ## `extractSimilarCompanies` (type: `boolean`): Whether to extract similar/recommended companies. ## `maxConcurrency` (type: `integer`): Maximum number of concurrent page requests. ## `delayBetweenRequests` (type: `integer`): Delay in milliseconds between requests to avoid rate limiting. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. ## Actor input object example ```json { "companySlugs": [ "google" ], "extractUpdates": false, "extractLocations": false, "extractSimilarCompanies": true, "maxConcurrency": 3, "delayBetweenRequests": 2000 } ``` # 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 = { "companySlugs": [ "google" ] }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/my-actor-7").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 = { "companySlugs": ["google"] } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/my-actor-7").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 '{ "companySlugs": [ "google" ] }' | apify call moving_beacon-owner1/my-actor-7 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/my-actor-7", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Data Scraper API", "description": "Scrape company profiles, industries, employees, and more with scalable concurrency and anti-blocking proxy support.", "version": "0.0", "x-build-id": "OdAXPvvxgA7AHeafb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~my-actor-7/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-my-actor-7", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~my-actor-7/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-my-actor-7", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~my-actor-7/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-my-actor-7", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companySlugs" ], "properties": { "companySlugs": { "title": "Company Slugs", "type": "array", "description": "List of company URL slugs to scrape (e.g., 'google', 'microsoft', 'openai').", "items": { "type": "string" } }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Full company page URLs to scrape. Use this OR companySlugs.", "items": { "type": "object", "properties": { "url": { "type": "string", "title": "URL", "description": "Url of page" } } } }, "extractUpdates": { "title": "Extract Recent Updates", "type": "boolean", "description": "Whether to extract recent company posts/updates (may be limited without login).", "default": false }, "extractLocations": { "title": "Extract Locations", "type": "boolean", "description": "Whether to extract company office locations.", "default": false }, "extractSimilarCompanies": { "title": "Extract Similar Companies", "type": "boolean", "description": "Whether to extract similar/recommended companies.", "default": true }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of concurrent page requests.", "default": 3 }, "delayBetweenRequests": { "title": "Delay Between Requests (ms)", "minimum": 0, "maximum": 30000, "type": "integer", "description": "Delay in milliseconds between requests to avoid rate limiting.", "default": 2000 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy configuration." } } }, "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 } } } } } } } } } } ```