# LinkedIn Company API | Firmographics & Sales Intelligence (`johnvc/linkedin-company-api`) Actor Collect public LinkedIn company pages as clean, structured JSON. Send one or many company URLs and get name, industry, size, headquarters, followers, specialties, locations, and Crunchbase link. Pay per company, MCP-ready for Claude and AI agents. - **URL**: https://apify.com/johnvc/linkedin-company-api.md - **Developed by:** [John](https://apify.com/johnvc) (community) - **Categories:** Lead generation, Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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 API | Firmographics & Sales Intelligence The **LinkedIn Company API** turns public [LinkedIn](https://www.linkedin.com) company pages into clean, structured JSON. Use this actor with Claude, Cursor, or any MCP-compatible AI agent to collect company name, industry, size, headquarters, followers, specialties, locations, and Crunchbase link, on reliable infrastructure and billed per company. Send one or many company URLs and get one row per company, collected in parallel. It works as a straightforward **LinkedIn company scraper** for account enrichment, sales intelligence, and CRM data, and it is built API-first and MCP-ready so AI agents can call it as a tool. --- ### 📋 What this API returns | Field | Description | |---|---| | `name` | The company's name. | | `description` | The company's About / overview text. | | `industries` | The company's primary industry. | | `companySize` | Employee size band (e.g. "10,001+ employees"). | | `employeesInLinkedin` | Number of employees with a LinkedIn profile. | | `followers` | Company page follower count. | | `headquarters` | Headquarters location. | | `specialties` | List of the company's specialties. | | `locations` | List of office locations. | | `countryCodes` | Two-letter country codes where the company has a presence. | | `organizationType` | Public, privately held, nonprofit, etc. | | `website` | The company's website URL. | | `crunchbaseUrl` | Link to the company's Crunchbase profile. | | `funding` | Funding summary (last round type, number of rounds), when available. | | `logo` | Company logo image URL. | | `companyId` | The company's LinkedIn numeric identifier. | | `publicUrl` | The public LinkedIn company page URL. | | `summary` | A plain-language one-line interpretation of the company. | --- ### 🎯 Use cases - **Account-based marketing.** Enrich a target-account list with industry, size, and headquarters to prioritize and segment. - **Sales intelligence.** Pull firmographics for prospect accounts so reps open calls with real context. - **CRM enrichment.** Append company size, industry, website, and Crunchbase link to CRM records from a company URL. - **Competitor mapping.** Profile a set of competitors by size, specialties, and locations in one batch. - **Lead scoring.** Score and route inbound leads by company size band and organization type. - **Cross-link people to companies.** Pair this with the LinkedIn Profile API to enrich a contact and their employer in one workflow. - **AI agent workflows.** Drive this API over MCP from Claude to look up and summarize companies in-conversation. --- ### 🔁 Use it as a LinkedIn company scraper at scale Paste a batch of company URLs and this LinkedIn company scraper collects them in budget-capped chunks, one row per company, so a large run never overshoots what you set. Every company comes back with the same flat, predictable fields, which is what makes the output easy to load into a sheet, a database, or a CRM. The result is ready-to-use **account enrichment** and firmographic data: size band, industry, headquarters, specialties, website, and a Crunchbase link. If a URL cannot be collected, you get a clear error row for that URL instead of a failed run, so one bad link never sinks the batch. Whether you need LinkedIn company data for one account or ten thousand, the shape of the output stays the same. --- ### ⚙️ Input examples #### One company ```json { "companyUrls": ["https://www.linkedin.com/company/microsoft"] } ```` #### Several companies at once (collected in parallel) ```json { "companyUrls": [ "https://www.linkedin.com/company/microsoft", "https://www.linkedin.com/company/google" ] } ``` URLs that are not LinkedIn `/company/` URLs are skipped with a warning. The API returns one row per company. *** ### 📤 Example output Each company is returned as one JSON row: ```json { "result_type": "company", "name": "Microsoft", "description": "Every company has a mission. What's ours? To empower every person and every organization to achieve more.", "industries": "Software Development", "companySize": "10,001+ employees", "employeesInLinkedin": 233717, "followers": 28561289, "headquarters": "Redmond, Washington", "specialties": ["Business Software", "Developer Tools", "Cloud Computing"], "countryCodes": ["US", "AU", "CA", "GB"], "organizationType": "Public Company", "website": "https://news.microsoft.com/", "crunchbaseUrl": "https://www.crunchbase.com/organization/microsoft", "companyId": "1035", "publicUrl": "https://www.linkedin.com/company/microsoft", "summary": "Microsoft, Software Development, 10,001+ employees, Redmond, Washington, 28,561,289 followers" } ``` *** ### 💰 Pricing (pay-per-event) You pay per company returned. There is no per-run setup fee. The current per-event price is shown on the Store card and in the Actor's Monetization details. Because billing is per company, you only pay for the companies actually delivered. *** ### 🔌 Use the LinkedIn Company API from Claude (MCP) This Actor is MCP-server-compatible, so [Claude Code](https://claude.ai/referral/uIlpa7nPLg) (free trial), Claude (desktop and web), Cursor, and other MCP clients can call it as a tool through Apify's hosted MCP server. Add it with this Actor-specific URL: `https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-company-api` Apify MCP integration docs: https://docs.apify.com/platform/integrations/mcp Setup walkthrough: https://www.youtube.com/watch?v=jREWahDGhJM **New to Claude Code or Claude Cowork?** Start a [free trial](https://claude.ai/referral/uIlpa7nPLg). Then ask Claude: > *"Use the LinkedIn Company API to look up Microsoft and summarize its size, industry, and headquarters."* *** ### 🔌 Integrations: run account enrichment on a schedule This API is most useful as a recurring step in a pipeline, not a one-off run: - **Tasks and Schedules.** Save a set of company URLs as a Task, then attach a Schedule to refresh that account dataset daily, weekly, or monthly with no code. - **n8n, Make, and Zapier.** Trigger a run when a new account lands in your CRM, then push the enriched firmographics back. Apify has native connectors for each. - **Supabase, Google Sheets, and databases.** Send the dataset straight to storage with a webhook or the Apify API so the rows land where your team already works. - **MCP.** Call the API as a tool from Claude and other AI agents (see the section above) to enrich companies inside an agent workflow. - **Webhooks.** Fire a webhook on run completion to kick off the next step in your own system, such as lead scoring or routing. *** ### 🔗 Related Tools Build a full picture of an account, the people who work there, and their activity by pairing this with the rest of the LinkedIn suite: - [LinkedIn Profile API](https://apify.com/johnvc/linkedin-profile-api?fpr=9n7kx3) - structured data on the people who work at your target accounts. - [LinkedIn Posts API](https://apify.com/johnvc/linkedin-posts-api?fpr=9n7kx3) - a company's public posts and engagement, for social selling and research. - [LinkedIn Jobs API](https://apify.com/johnvc/linkedin-jobs-api?fpr=9n7kx3) - open roles at a company by keyword and location, a strong hiring signal. Comparison point: some LinkedIn company scrapers on the Store are unmaintained or low-rated (for example [george.the.developer/linkedin-company-employees-scraper](https://apify.com/george.the.developer/linkedin-company-employees-scraper?fpr=9n7kx3), rated 1 star). This API is built for reliability, pay-per-company billing, and MCP access from AI agents. *** ### 📎 Applications Ready-made task pages for common jobs. Open one, run it, or duplicate it as a starting point: #### [Scrape LinkedIn Company Data to Structured JSON](https://apify.com/johnvc/linkedin-company-api/examples/scrape-linkedin-company-data-to-structured-json?fpr=9n7kx3) Turn a company URL into clean JSON: name, industry, size, headquarters, followers, website, and Crunchbase link. #### [Bulk Collect LinkedIn Companies from a URL List](https://apify.com/johnvc/linkedin-company-api/examples/bulk-collect-linkedin-companies-from-a-url-list?fpr=9n7kx3) Paste up to 1000 company URLs and get one clean row each, collected in parallel. #### [Extract Company Firmographics from LinkedIn](https://apify.com/johnvc/linkedin-company-api/examples/extract-company-firmographics-from-linkedin?fpr=9n7kx3) Pull industry, employee size band, headquarters, specialties, and organization type from a company URL. #### [LinkedIn Company Data API for Python](https://apify.com/johnvc/linkedin-company-api/examples/linkedin-company-data-api-for-python?fpr=9n7kx3) Call the API from Python: a company URL in, structured firmographics out. #### [Enrich Accounts with LinkedIn Company Data](https://apify.com/johnvc/linkedin-company-api/examples/enrich-accounts-with-linkedin-company-data?fpr=9n7kx3) Turn a company URL into CRM-ready fields for account enrichment and scoring. #### [Scrape LinkedIn Companies in an n8n Workflow](https://apify.com/johnvc/linkedin-company-api/examples/scrape-linkedin-companies-in-an-n8n-workflow?fpr=9n7kx3) Add company data to an n8n workflow: pass company URLs, get structured rows back. #### [Get LinkedIn Company Data in Claude via MCP](https://apify.com/johnvc/linkedin-company-api/examples/get-linkedin-company-data-in-claude-via-mcp?fpr=9n7kx3) Use company lookup as a tool in Claude and other AI agents over MCP. *** ### 🚀 How to get started 1. Open the Actor and paste one or more LinkedIn company URLs into `companyUrls`. 2. Run it and read the results from the dataset (JSON, CSV, Excel, or API). [View on Apify Store](https://apify.com/johnvc/linkedin-company-api?fpr=9n7kx3) **Example code:** [Python quick-start + MCP setup on GitHub](https://github.com/johnisanerd/Apify-LinkedIn-Company-API) - call the API from Python, or install it as a tool in Claude, Cursor, and ChatGPT. *** ### ❓ FAQ #### Is this a LinkedIn Company API or a LinkedIn company scraper? Both descriptions fit. You call it like an API (a company URL in, structured JSON out), and under the hood it is a LinkedIn company scraper that reads public company pages. You never touch scraping infrastructure; you get clean, one-row-per-company data back. #### What URL should I provide? A public LinkedIn company page URL, for example `https://www.linkedin.com/company/microsoft`. Pass one or many in `companyUrls`. #### What firmographics are included? Industry, employee size band, employee count on LinkedIn, headquarters, specialties, office locations, country presence, organization type, website, and a Crunchbase link when available. #### Is it legal to scrape public LinkedIn company pages? This actor collects only public company data. Public-data scraping has been addressed in court cases such as [hiQ Labs v. LinkedIn](https://en.wikipedia.org/wiki/HiQ_Labs_v._LinkedIn), but you are responsible for your own use, including [GDPR](https://en.wikipedia.org/wiki/General_Data_Protection_Regulation) and platform terms. Consult your own counsel for your use case. #### Can I run it from Claude or another AI agent over MCP? Yes. The Actor is MCP-server-compatible, so [Claude Code](https://claude.ai/referral/uIlpa7nPLg) (free trial) and other MCP clients call it as a tool. See the MCP section above for the setup URL. #### Can I schedule it or connect it to my other apps? Yes. Save your company URLs as a Task and attach a Schedule for recurring runs, and connect the output to n8n, Make, Zapier, Supabase, or your own system by webhook. See the Integrations section above. #### Do you also collect people? Yes, separately. Use the LinkedIn Profile API for person profiles (name, headline, experience, education), and pair it with this Company API to enrich a contact and their employer together. #### Can I collect many companies at once? Yes. Provide a list in `companyUrls`; they are collected in parallel and returned one row per company, up to 1000 per run. #### What if a company cannot be collected? The API returns a clear error row for that URL explaining why, so a single bad URL does not fail the whole run. *** Last Updated: 2026.07.10 # Actor input Schema ## `companyUrls` (type: `array`): One or more LinkedIn company page URLs, e.g. https://www.linkedin.com/company/microsoft. URLs that are not LinkedIn /company/ URLs are skipped. Up to 1000 per run. Need larger batches? Contact us and we can raise this limit for your account. ## Actor input object example ```json { "companyUrls": [ "https://www.linkedin.com/company/microsoft" ] } ``` # Actor output Schema ## `allResults` (type: `string`): Every dataset item from this run: collected companies and any error rows. ## `overview` (type: `string`): Tabular overview of every dataset item using the dataset schema's default view. Columns: type, name, industry, size, headquarters, followers, URL, summary. # 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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("johnvc/linkedin-company-api").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 = { "companyUrls": ["https://www.linkedin.com/company/microsoft"] } # Run the Actor and wait for it to finish run = client.actor("johnvc/linkedin-company-api").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 '{ "companyUrls": [ "https://www.linkedin.com/company/microsoft" ] }' | apify call johnvc/linkedin-company-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=johnvc/linkedin-company-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company API | Firmographics & Sales Intelligence", "description": "Collect public LinkedIn company pages as clean, structured JSON. Send one or many company URLs and get name, industry, size, headquarters, followers, specialties, locations, and Crunchbase link. Pay per company, MCP-ready for Claude and AI agents.", "version": "0.0", "x-build-id": "goJHSKBH1RwcDroU3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/johnvc~linkedin-company-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-johnvc-linkedin-company-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/johnvc~linkedin-company-api/runs": { "post": { "operationId": "runs-sync-johnvc-linkedin-company-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/johnvc~linkedin-company-api/run-sync": { "post": { "operationId": "run-sync-johnvc-linkedin-company-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "maxItems": 1000, "type": "array", "description": "One or more LinkedIn company page URLs, e.g. https://www.linkedin.com/company/microsoft. URLs that are not LinkedIn /company/ URLs are skipped. Up to 1000 per run. Need larger batches? Contact us and we can raise this limit for your account.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```