# Linkedin Company Details Scraper (`apt_marble/linkedin-company-details`) Actor Extract detailed data from LinkedIn company profiles at scale — including company name, LinkedIn URL, website, industry, headquarters, company size, employee count, founded year, specialties, follower count, description, phone numbers, addresses, and more. - **URL**: https://apify.com/apt\_marble/linkedin-company-details.md - **Developed by:** [Hamza](https://apify.com/apt_marble) (community) - **Categories:** Social media, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 results 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/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 Scraper Scrape detailed LinkedIn company profiles from URLs — name, industries, size, headquarters, locations, followers, employees on LinkedIn, logo, description, and more. Great for CRM enrichment, account research, competitive intelligence, and lead-list cleanup. ### What this Actor does Given one or more LinkedIn company URLs, the Actor returns one record per company with all the structured fields LinkedIn exposes on the public company page. ### Output Each item in the dataset has this shape (matches the upstream provider schema): ```json { "id": "figueroa-real-estate", "name": "Figueroa Real Estate", "country_code": "US", "locations": ["4018 Little Ln El Paso, Texas 79922-1914, US"], "followers": 3, "employees_in_linkedin": 0, "company_size": "2-10 employees", "industries": "Real Estate", "company_id": "8027353", "employees": [], "headquarters": "El Paso, Texas", "image": "https://static.licdn.com/aero-v1/sc/h/5q92mjc5c51bjlwaj3rs9aa82", "logo": "https://static.licdn.com/aero-v1/sc/h/cs8pjfgyw96g44ln9r7tct85f", "url": "https://www.linkedin.com/company/figueroa-real-estate", "formatted_locations": ["4018 Little Ln, El Paso, Texas 79922-1914, US"], "get_directions_url": [{ "directions_url": "https://www.bing.com/maps?where=..." }], "description": "Figueroa Real Estate | 3 followers on LinkedIn.", "additional_information": null, "country_codes_array": ["US"], "alumni": null, "alumni_information": null, "website_simplified": null, "unformatted_about": null, "timestamp": "2026-05-17T02:17:57.758Z", "input": { "url": "https://www.linkedin.com/company/figueroa-real-estate/" } } ```` Field reference: | Field | Type | Description | | ------------------------ | --------------- | ---------------------------------------------------------- | | `id` | string | Slug-style identifier of the company | | `name` | string | Display name | | `country_code` | string | ISO-3166 country code of the HQ | | `locations` | array of string | Raw location strings as listed on LinkedIn | | `followers` | integer | Follower count | | `employees_in_linkedin` | integer | Number of employees who have a LinkedIn profile | | `company_size` | string | Banded size, e.g. "2-10 employees" | | `industries` | string | Industry classification | | `company_id` | string | Numeric internal LinkedIn company id | | `employees` | array | Sample of public employee records (often empty) | | `headquarters` | string | HQ city/region | | `image` | string (URL) | Banner / cover image | | `logo` | string (URL) | Company logo | | `url` | string (URL) | Canonical LinkedIn company URL | | `formatted_locations` | array of string | Cleaned-up location strings | | `get_directions_url` | array of object | One `{ directions_url }` entry per office | | `description` | string | "About" text | | `additional_information` | object | null | Provider-supplied extras | | `country_codes_array` | array of string | All country codes the company operates in | | `alumni` | any | null | Alumni stats (when available) | | `alumni_information` | any | null | Extra alumni metadata | | `website_simplified` | string | null | Stripped-down homepage URL | | `unformatted_about` | string | null | Raw "About" text before formatting | | `timestamp` | string (ISO 8601) | When the record was collected | | `input` | object | The query that produced this row (`{ url }`) | ### Input | Field | Type | Required | Description | | -------------- | ---------------- | -------- | ------------------------------------------------- | | `company_urls` | array of strings | yes | One or more LinkedIn company profile URLs to scrape | Example input: ```json { "company_urls": [ "https://www.linkedin.com/company/figueroa-real-estate/", "https://www.linkedin.com/company/openai/" ] } ``` ### Limits & responsible use - The Actor only returns information that is publicly accessible on LinkedIn company pages. - Respect LinkedIn's Terms of Service and applicable privacy laws (GDPR, CCPA, etc.) when using the data. # Actor input Schema ## `company_urls` (type: `array`): One or more LinkedIn company / school / showcase profile URLs to scrape. Each URL must look like https://www.linkedin.com/company// — invalid URLs are skipped and reported in the dataset, the run still succeeds as long as at least one URL is valid. ## Actor input object example ```json { "company_urls": [ "https://www.linkedin.com/company/google/" ] } ``` # Actor output Schema ## `dataset` (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 = { "company_urls": [ "https://www.linkedin.com/company/google/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apt_marble/linkedin-company-details").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 = { "company_urls": ["https://www.linkedin.com/company/google/"] } # Run the Actor and wait for it to finish run = client.actor("apt_marble/linkedin-company-details").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 '{ "company_urls": [ "https://www.linkedin.com/company/google/" ] }' | apify call apt_marble/linkedin-company-details --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apt_marble/linkedin-company-details", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Company Details Scraper", "description": "Extract detailed data from LinkedIn company profiles at scale — including company name, LinkedIn URL, website, industry, headquarters, company size, employee count, founded year, specialties, follower count, description, phone numbers, addresses, and more.", "version": "0.0", "x-build-id": "ZLplPH3KKw9Uuilwm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apt_marble~linkedin-company-details/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apt_marble-linkedin-company-details", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apt_marble~linkedin-company-details/runs": { "post": { "operationId": "runs-sync-apt_marble-linkedin-company-details", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apt_marble~linkedin-company-details/run-sync": { "post": { "operationId": "run-sync-apt_marble-linkedin-company-details", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "company_urls" ], "properties": { "company_urls": { "title": "LinkedIn company URLs", "uniqueItems": true, "type": "array", "description": "One or more LinkedIn company / school / showcase profile URLs to scrape. Each URL must look like https://www.linkedin.com/company// — invalid URLs are skipped and reported in the dataset, the run still succeeds as long as at least one URL is valid.", "items": { "type": "string", "pattern": "^https?://([a-z]{2,3}\\.)?linkedin\\.com/(company|school|showcase)/[^/?#]+/?.*$" } } } }, "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 } } } } } } } } } } ```