# LinkedIn Company & Employee Find | X-Ray | No Login & 🍪 | Bulk (`aeonkosmos/linkedin-people-search`) Actor Find LinkedIn company pages by keyword and discover employees at any company. No login, no cookies, zero ban risk. X-ray powered. Bulk search 100 companies per run. Returns company URLs, employee profiles with name and headline. - **URL**: https://apify.com/aeonkosmos/linkedin-people-search.md - **Developed by:** [Eugene Volper](https://apify.com/aeonkosmos) (community) - **Categories:** Lead generation, Social media - **Stats:** 163 total users, 110 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.70 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ../README.md # Actor input Schema ## `service` (type: `string`): Which search service to use ## `keyword` (type: `string`): Company name or keyword to search for on LinkedIn ## `companyPattern` (type: `string`): How to construct the search query ## `companyCountries` (type: `string`): Comma-separated country codes (e.g. uk, us, de). Leave empty for global search. ## `companyMaxResults` (type: `integer`): Max company profiles to return. Default 100. You pay per result. ## `companyName` (type: `string`): Exact company name as it appears on LinkedIn (e.g., 'National Bank of Canada'). ## `title` (type: `string`): Single keyword to include in search (e.g., 'Engineer', 'Manager', 'Sales'). Only one keyword supported. ## `employeePattern` (type: `string`): How to construct the search query. Start with Pattern 1 (strictest). ## `employeeCountries` (type: `string`): Comma-separated country codes (e.g. uk, us, de). Leave empty for global search. ## `employeeMaxResults` (type: `integer`): Max employee profiles to return. Default 100. You pay per profile. ## `bulkKeywords` (type: `string`): One keyword per line. Each keyword = separate company search. Example: OpenAI Anthropic Google DeepMind Meta AI ## `bulkCompanyCountries` (type: `string`): Comma-separated country codes. Applied to every keyword. Leave empty for global. Example: uk, us, de ## `bulkCompanyPattern` (type: `string`): How to construct the search query ## `bulkCompanyMaxResults` (type: `integer`): Max company profiles per keyword. Default 100. You pay per result. ## `bulkCompanies` (type: `string`): One company per line. Format: CompanyName, Keyword, Country (keyword and country optional). Example: Marriott International, CFO Hilton Worldwide, Director of Sales, uk Google Amazon ## `bulkEmployeePattern` (type: `string`): How to construct the search query. Start with Pattern 1 (strictest). ## `bulkEmployeeKeyword` (type: `string`): Single keyword to include in every search (e.g., 'Engineer'). Only one keyword. Optional. ## `bulkMaxResultsPerCompany` (type: `integer`): Max employee profiles per company. Default 100. You pay per profile. ## `bulkDelayMs` (type: `integer`): Milliseconds to wait between searches. Lower = faster but may hit rate limits. ## `loadAll` (type: `boolean`): Automatically paginate to load all results up to your max limit. If OFF, returns only the first page (up to 10). ## Actor input object example ```json { "service": "companies", "keyword": "OpenAI", "companyPattern": "4", "companyMaxResults": 100, "employeePattern": "1", "employeeMaxResults": 100, "bulkCompanyPattern": "4", "bulkCompanyMaxResults": 100, "bulkEmployeePattern": "1", "bulkMaxResultsPerCompany": 100, "bulkDelayMs": 1500, "loadAll": false } ```` # 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 = { "keyword": "OpenAI" }; // Run the Actor and wait for it to finish const run = await client.actor("aeonkosmos/linkedin-people-search").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 = { "keyword": "OpenAI" } # Run the Actor and wait for it to finish run = client.actor("aeonkosmos/linkedin-people-search").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 '{ "keyword": "OpenAI" }' | apify call aeonkosmos/linkedin-people-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aeonkosmos/linkedin-people-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company & Employee Find | X-Ray | No Login & 🍪 | Bulk", "description": "Find LinkedIn company pages by keyword and discover employees at any company. No login, no cookies, zero ban risk. X-ray powered.\nBulk search 100 companies per run. Returns company URLs, employee profiles with name and headline.", "version": "1.7", "x-build-id": "C5Qw9M6tdV77zqAVi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aeonkosmos~linkedin-people-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aeonkosmos-linkedin-people-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aeonkosmos~linkedin-people-search/runs": { "post": { "operationId": "runs-sync-aeonkosmos-linkedin-people-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aeonkosmos~linkedin-people-search/run-sync": { "post": { "operationId": "run-sync-aeonkosmos-linkedin-people-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "service" ], "properties": { "service": { "title": "Service", "enum": [ "companies", "employees", "bulk_companies", "bulk_employees" ], "type": "string", "description": "Which search service to use", "default": "companies" }, "keyword": { "title": "Company Keyword", "type": "string", "description": "Company name or keyword to search for on LinkedIn" }, "companyPattern": { "title": "Search Pattern", "enum": [ "1", "2", "3", "4" ], "type": "string", "description": "How to construct the search query", "default": "4" }, "companyCountries": { "title": "Countries", "type": "string", "description": "Comma-separated country codes (e.g. uk, us, de). Leave empty for global search." }, "companyMaxResults": { "title": "Max Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Max company profiles to return. Default 100. You pay per result.", "default": 100 }, "companyName": { "title": "Company Name", "type": "string", "description": "Exact company name as it appears on LinkedIn (e.g., 'National Bank of Canada')." }, "title": { "title": "Include Keyword", "type": "string", "description": "Single keyword to include in search (e.g., 'Engineer', 'Manager', 'Sales'). Only one keyword supported." }, "employeePattern": { "title": "Search Pattern", "enum": [ "1", "2", "3", "4" ], "type": "string", "description": "How to construct the search query. Start with Pattern 1 (strictest).", "default": "1" }, "employeeCountries": { "title": "Countries", "type": "string", "description": "Comma-separated country codes (e.g. uk, us, de). Leave empty for global search." }, "employeeMaxResults": { "title": "Max Results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Max employee profiles to return. Default 100. You pay per profile.", "default": 100 }, "bulkKeywords": { "title": "Keywords (one per line)", "type": "string", "description": "One keyword per line. Each keyword = separate company search.\n\nExample:\nOpenAI\nAnthropic\nGoogle DeepMind\nMeta AI" }, "bulkCompanyCountries": { "title": "Countries", "type": "string", "description": "Comma-separated country codes. Applied to every keyword. Leave empty for global.\n\nExample: uk, us, de" }, "bulkCompanyPattern": { "title": "Search Pattern", "enum": [ "1", "2", "3", "4" ], "type": "string", "description": "How to construct the search query", "default": "4" }, "bulkCompanyMaxResults": { "title": "Max Results Per Keyword", "minimum": 1, "maximum": 100, "type": "integer", "description": "Max company profiles per keyword. Default 100. You pay per result.", "default": 100 }, "bulkCompanies": { "title": "Companies (one per line)", "type": "string", "description": "One company per line. Format: CompanyName, Keyword, Country (keyword and country optional).\n\nExample:\nMarriott International, CFO\nHilton Worldwide, Director of Sales, uk\nGoogle\nAmazon" }, "bulkEmployeePattern": { "title": "Search Pattern", "enum": [ "1", "2", "3", "4" ], "type": "string", "description": "How to construct the search query. Start with Pattern 1 (strictest).", "default": "1" }, "bulkEmployeeKeyword": { "title": "Include Keyword", "type": "string", "description": "Single keyword to include in every search (e.g., 'Engineer'). Only one keyword. Optional." }, "bulkMaxResultsPerCompany": { "title": "Max Results Per Company", "minimum": 1, "maximum": 100, "type": "integer", "description": "Max employee profiles per company. Default 100. You pay per profile.", "default": 100 }, "bulkDelayMs": { "title": "Delay Between Searches (ms)", "minimum": 500, "maximum": 10000, "type": "integer", "description": "Milliseconds to wait between searches. Lower = faster but may hit rate limits.", "default": 1500 }, "loadAll": { "title": "Load All Results", "type": "boolean", "description": "Automatically paginate to load all results up to your max limit. If OFF, returns only the first page (up to 10).", "default": false } } }, "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 } } } } } } } } } } ```