# LinkedIn Company by Domain (`bestscrapers/linkedin-company-by-domain`) Actor Find a company on LinkedIn using its web domain. - **URL**: https://apify.com/bestscrapers/linkedin-company-by-domain.md - **Developed by:** [Linkedin Scrapers](https://apify.com/bestscrapers) (community) - **Categories:** AI, Lead generation, Social media - **Stats:** 150 total users, 148 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $8.00 / 1,000 processing data 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 ## πŸš€ LinkedIn Company Scraper The **LinkedIn Company by Domain** is a powerful tool designed to extract detailed company information using its web domain β€” without the need for cookies or login. It provides most valuable data from any company. ### ✨ Features - πŸ‘€ **Full Personal Profile Extraction** Retrieve name, employee count, follower count, industries, specialties and more. - πŸͺ **No Cookies Required** The scraper works without any LinkedIn login or cookies β€” simplifying setup and execution. ### ✨ You may also want to check out my other powerful actors: #### For people: - https://apify.com/bestscrapers/fresh-linkedin-profile-data - https://apify.com/bestscrapers/linkedin-open-profile-status - https://apify.com/bestscrapers/linkedin-open-to-work-status - https://apify.com/bestscrapers/linkedin-detect-activity-time #### For Sales Navigator searches: - https://apify.com/bestscrapers/linkedin-sales-navigator-scraper - https://apify.com/bestscrapers/linkedin-sales-account-scraper #### For companies: - https://apify.com/bestscrapers/linkedin-company-scraper - https://apify.com/bestscrapers/linkedin-company-insights-scraper - https://apify.com/bestscrapers/linkedin-company-by-domain - https://apify.com/bestscrapers/linkedin-company-custom-headcount #### For jobs: - https://apify.com/bestscrapers/linkedin-job-details-scraper - https://apify.com/bestscrapers/linkedin-job-scraper #### For posts: - https://apify.com/bestscrapers/linkedin-post-scraper - https://apify.com/bestscrapers/get-post-details - https://apify.com/bestscrapers/linkedin-company-post-scraper - https://apify.com/bestscrapers/linkedin-post-comments-scraper - https://apify.com/bestscrapers/reaction-scraper ### πŸ’° Pricing 1. Paid users: $0.008/1 request = 1 "processing" events / 1 request ($8/1000 requests). 2. Free users: $0.8/1 request = 100 "processing" events/ 1 request ($800/1000 requests). ### πŸ› οΈ How It Works 1. πŸ”— **Input** Provide a valid LinkedIn company URL. 2. ▢️ **Run the Scraper** Start the actor to extract rich company data in real time β€” results will be available in Apify's Dataset tab. ### ✨ Go to my profile for more powerful actors: https://apify.com/bestscrapers ### πŸ“₯ Input Example ```json { "domain": "apple.com" } ```` ### πŸ“€ Output Example ```json { "confident_score": "80%", "data": { "affiliated_companies": [], "company_id": "162479", "company_name": "Apple", "description": "We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices β€” strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.\n\nApple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.", "domain": "apple.com", "email": "", "employee_count": 182114, "employee_range": "10001+", "follower_count": 18213384, "funding_info": { "crunchbase_url": "", "last_funding_round_amount": null, "last_funding_round_currency": null, "last_funding_round_month": null, "last_funding_round_type": null, "last_funding_round_year": null, "num_funding_rounds": null }, "hq_address_line1": "1 Apple Park Way", "hq_address_line2": "", "hq_city": "Cupertino", "hq_country": "US", "hq_full_address": "1 Apple Park Way, Cupertino, California 95014, US", "hq_postalcode": "95014", "hq_region": "California", "industries": [ "Computers and Electronics Manufacturing" ], "linkedin_url": "https://www.linkedin.com/company/apple/", "locations": [ { "city": "Cupertino", "country": "US", "full_address": "1 Apple Park Way, Cupertino, California 95014, US", "is_headquarter": true, "line1": "1 Apple Park Way", "line2": "", "region": "California", "zipcode": "95014" } ], "logo_url": "https://media.licdn.com/dms/image/v2/C560BAQHdAaarsO-eyA/company-logo_400_400/company-logo_400_400/0/1630637844948/apple_logo?e=1779926400&v=beta&t=o4SHsNVzxUhKlC6CXUimx0cKvB2xxoJFziqq11GM-tA", "phone": "", "specialties": "Innovative Product Development, World-Class Operations, Retail, Telephone Support", "tagline": "", "website": "http://www.apple.com/careers", "year_founded": 1976 }, "message": "ok" } ``` # Actor input Schema ## `domain` (type: `string`): The web domain to scrape (e.g. apple.com) ## Actor input object example ```json { "domain": "apple.com" } ``` # 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 = { "domain": "apple.com" }; // Run the Actor and wait for it to finish const run = await client.actor("bestscrapers/linkedin-company-by-domain").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "domain": "apple.com" } # Run the Actor and wait for it to finish run = client.actor("bestscrapers/linkedin-company-by-domain").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "domain": "apple.com" }' | apify call bestscrapers/linkedin-company-by-domain --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bestscrapers/linkedin-company-by-domain", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company by Domain", "description": "Find a company on LinkedIn using its web domain.", "version": "0.0", "x-build-id": "u9GWgN7SWbTTgcajx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bestscrapers~linkedin-company-by-domain/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bestscrapers-linkedin-company-by-domain", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bestscrapers~linkedin-company-by-domain/runs": { "post": { "operationId": "runs-sync-bestscrapers-linkedin-company-by-domain", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bestscrapers~linkedin-company-by-domain/run-sync": { "post": { "operationId": "run-sync-bestscrapers-linkedin-company-by-domain", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "domain" ], "properties": { "domain": { "title": "Domain", "pattern": "", "type": "string", "description": "The web domain to scrape (e.g. apple.com)" } } }, "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 } } } } } } } } } } ```