# Linkedin Companies Suggestions (`data_link_miner/linkedin-companies-suggestions`) Actor Discover similar and lookalike companies on LinkedIn. The LinkedIn Companies Suggestions scraper retrieves LinkedIn-recommended similar companies ("People also viewed") based on a given company profile. It helps you identify competitors, alternatives, and comparable brands at scale. - **URL**: https://apify.com/data\_link\_miner/linkedin-companies-suggestions.md - **Developed by:** [Data LinkMiner](https://apify.com/data_link_miner) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 4 total users, 0 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $25.00/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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 Companies Suggestions Discover similar and lookalike companies on LinkedIn The LinkedIn Companies Suggestions scraper retrieves LinkedIn-recommended similar companies ("People also viewed") based on a given company profile. It helps you identify competitors, alternatives, and comparable brands at scale. ### How to provide cookie session ? - install "Copy Cookies" chrome extension - login to your account and go to your linkedin home page - Use the extension (clicking will copy cookies) - Paste the cookies in the input "cookies" from the actor ### Included features 🔍 Extract LinkedIn company lookalikes from a company page 🏢 Input any LinkedIn company URL 📊 Retrieve for each suggested company: - Company name - Industry / category - LinkedIn profile URL - Followers count ⚡ Fast and lightweight extraction 📦 Structured and clean JSON output 🤖 Ideal for automation and enrichment workflows ### 🚀 Use Cases 🧭 Competitor discovery 🎯 Market and industry mapping 📈 Sales prospecting & account-based marketing 🧲 Lead generation by company similarity 🤝 Partnership and sponsorship research 📊 Competitive intelligence dashboards 🤖 AI-powered company clustering 🗂️ CRM enrichment (HubSpot, Salesforce, Pipedrive) ### OUTPUT ```json { "input_url": "https://www.linkedin.com/company/financial-times", "lookalikes": [ { "url": "https://www.linkedin.com/company/the-economist/", "subtitle": "Newspaper Publishing", "title": "The Economist", "followers": "13085864" }, { "url": "https://www.linkedin.com/company/the-wall-street-journal/", "subtitle": "Newspaper Publishing", "title": "The Wall Street Journal", "followers": "10012011" }, { "url": "https://www.linkedin.com/company/forbes-magazine/", "subtitle": "Book and Periodical Publishing", "title": "Forbes", "followers": "18097943" }, { "url": "https://www.linkedin.com/company/bloomberg/", "subtitle": "Financial Services", "title": "Bloomberg", "followers": "2130929" }, { "url": "https://www.linkedin.com/company/the-new-york-times/", "subtitle": "Newspaper Publishing", "title": "The New York Times", "followers": "6878072" }, { "url": "https://www.linkedin.com/company/bloomberg-news/", "subtitle": "Online Audio and Video Media", "title": "Bloomberg News", "followers": "4184353" }, { "url": "https://www.linkedin.com/company/harvard-business-review/", "subtitle": "Book and Periodical Publishing", "title": "Harvard Business Review", "followers": "14564656" }, { "url": "https://www.linkedin.com/company/bbc-news/", "subtitle": "Broadcast Media Production and Distribution", "title": "BBC News", "followers": "8035810" }, { "url": "https://www.linkedin.com/company/goldman-sachs/", "subtitle": "Financial Services", "title": "Goldman Sachs", "followers": "5510585" }, { "url": "https://www.linkedin.com/company/businessinsider/", "subtitle": "Online Audio and Video Media", "title": "Business Insider", "followers": "10934068" }, { "url": "https://www.linkedin.com/company/deloitte/", "subtitle": "Business Consulting and Services", "title": "Deloitte", "followers": "20683760" }, { "url": "https://www.linkedin.com/company/jpmorganchase/", "subtitle": "Financial Services", "title": "JPMorganChase", "followers": "6768697" }, { "url": "https://www.linkedin.com/company/mckinsey/", "subtitle": "Business Consulting and Services", "title": "McKinsey & Company", "followers": "6884754" }, { "url": "https://www.linkedin.com/company/blackrock/", "subtitle": "Financial Services", "title": "BlackRock", "followers": "2775830" }, { "url": "https://www.linkedin.com/company/jpmorgan/", "subtitle": "Financial Services", "title": "J.P. Morgan", "followers": "5464470" }, { "url": "https://www.linkedin.com/company/world-economic-forum/", "subtitle": "Non-profit Organizations", "title": "World Economic Forum", "followers": "5504084" }, { "url": "https://www.linkedin.com/company/theguardian/", "subtitle": "Book and Periodical Publishing", "title": "The Guardian", "followers": "659133" }, { "url": "https://www.linkedin.com/company/google/", "subtitle": "Software Development", "title": "Google", "followers": "40135075" }, { "url": "https://www.linkedin.com/company/ted-conferences/", "subtitle": "Non-profit Organizations", "title": "TED Conferences", "followers": "24489142" }, { "url": "https://www.linkedin.com/company/boston-consulting-group/", "subtitle": "Business Consulting and Services", "title": "Boston Consulting Group (BCG)", "followers": "5225769" } ] } ``` ### SUPPORT Create an issue and share the failed run. We will help resolve the problem. We also stay available for questions # Actor input Schema ## `cookies` (type: `array`): Provide your own exported cookie session ## `companies` (type: `array`): List of linkedin company url ## Actor input object example ```json { "companies": [ "https://www.linkedin.com/company/financial-times/", "https://www.linkedin.com/company/les-echos/" ] } ``` # 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 = { "companies": [ "https://www.linkedin.com/company/financial-times/", "https://www.linkedin.com/company/les-echos/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("data_link_miner/linkedin-companies-suggestions").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/financial-times/", "https://www.linkedin.com/company/les-echos/", ] } # Run the Actor and wait for it to finish run = client.actor("data_link_miner/linkedin-companies-suggestions").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 '{ "companies": [ "https://www.linkedin.com/company/financial-times/", "https://www.linkedin.com/company/les-echos/" ] }' | apify call data_link_miner/linkedin-companies-suggestions --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data_link_miner/linkedin-companies-suggestions", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/rdvmL4MSEOyeyybO7/builds/R8KNsTl6YsE7mTkhj/openapi.json