# Linkedln Employee Scraper - Cheap and Fast (`fabri-lab/linkedln-employee-scraper-cheap-and-fast`) Actor Find public LinkedIn employee candidates for a company using company name, aliases, country, and target result count. The Actor returns clean, deduplicated profile leads with name, title, matched company, LinkedIn URL, confidence score, and run status. - **URL**: https://apify.com/fabri-lab/linkedln-employee-scraper-cheap-and-fast.md - **Developed by:** [Yusuf Barış](https://apify.com/fabri-lab) (community) - **Categories:** Jobs, Automation, Lead generation - **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 Employee Finder by Full Company Name Find public LinkedIn employee candidates by full official company name and aliases. The Actor returns clean, deduplicated profile leads with confidence scores. For best accuracy, enter the complete company name, not only a short brand word. Use the legal name, full brand name, or LinkedIn company name. Examples: - Use `Marti Technologies Inc` or `Marti Teknoloji A.S.` instead of only `Marti`. - Use `ILKO Ilac San. ve Tic. A.S.` and `ILKO Pharmaceuticals` instead of only `ILKO`. ### What you get - Candidate name - Current title or headline when available - Matched company name or alias - Public LinkedIn profile URL - Confidence score - Location when available ### Input ```json { "companyName": "ILKO Ilac San. ve Tic. A.S.", "companyAliases": [ "ILKO Pharmaceuticals", "Ilko Pharmaceuticals", "ILKO Ilac San. ve Tic. A.S." ], "country": "Turkey", "countryCode": "TR", "languageCode": "tr", "maxResults": 50, "findAllEmployees": false, "searchDepth": 50 } ```` ### Output ```json { "name": "Jane Doe", "title": "Sales Manager", "companyMatched": "ILKO Pharmaceuticals", "linkedinUrl": "https://www.linkedin.com/in/example/", "confidence": 0.97, "location": "Istanbul", "runStatus": "target_reached", "requested": 50, "found": 50 } ``` ### Status values - `target_reached`: requested candidate count was found. - `run_limit_reached`: the run stopped at the protected search limit. - `partial_results`: some candidates were found, but no more public candidates were available in the current run. - `no_results`: no matching candidates were found. - `search_error`: candidate search could not complete. ### Notes - Results are public employee candidates, not guaranteed complete employee lists. - Always use the full official company name when possible. - Use aliases for local names, English names, full brand names, LinkedIn company names, and legal names to improve match quality. - Avoid vague one-word company names unless they are unique. - Use the `confidence` field to prioritize stronger matches. - The Actor does not return emails, phone numbers, private contact data, messages, or non-public data. # Actor input Schema ## `companyName` (type: `string`): Enter the full official company name, not only a short brand word. Use the legal name, full brand name, or LinkedIn company name for best accuracy. Example: use "Marti Technologies Inc" or "Marti Teknoloji A.S." instead of only "Marti". ## `companyAliases` (type: `array`): Add full alternative names, legal names, English names, local-language spellings, and common LinkedIn company names. Avoid vague one-word aliases unless they are unique. ## `country` (type: `string`): Country hint for improving candidate quality, especially when the company name is used by multiple businesses. ## `countryCode` (type: `string`): Two-letter country code. ## `languageCode` (type: `string`): Preferred result language. ## `maxResults` (type: `integer`): Target number of employee candidates to return when enough public matches are available. ## `findAllEmployees` (type: `boolean`): Keep searching until available public candidates are exhausted or the protected run limit is reached. ## `searchDepth` (type: `integer`): Higher values can find more candidates but may take longer. ## Actor input object example ```json { "companyName": "ILKO Ilac San. ve Tic. A.S.", "companyAliases": [ "ILKO Pharmaceuticals", "Ilko Pharmaceuticals", "ILKO Ilac San. ve Tic. A.S." ], "country": "Turkey", "countryCode": "TR", "languageCode": "tr", "maxResults": 50, "findAllEmployees": false, "searchDepth": 50 } ``` # Actor output Schema ## `employeeCandidates` (type: `string`): Dataset containing normalized LinkedIn employee candidates. ## `runSummary` (type: `string`): Run-level status and result 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 = { "companyName": "ILKO Ilac San. ve Tic. A.S.", "companyAliases": [ "ILKO Pharmaceuticals", "Ilko Pharmaceuticals", "ILKO Ilac San. ve Tic. A.S." ], "country": "Turkey", "countryCode": "TR", "languageCode": "tr" }; // Run the Actor and wait for it to finish const run = await client.actor("fabri-lab/linkedln-employee-scraper-cheap-and-fast").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 = { "companyName": "ILKO Ilac San. ve Tic. A.S.", "companyAliases": [ "ILKO Pharmaceuticals", "Ilko Pharmaceuticals", "ILKO Ilac San. ve Tic. A.S.", ], "country": "Turkey", "countryCode": "TR", "languageCode": "tr", } # Run the Actor and wait for it to finish run = client.actor("fabri-lab/linkedln-employee-scraper-cheap-and-fast").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 '{ "companyName": "ILKO Ilac San. ve Tic. A.S.", "companyAliases": [ "ILKO Pharmaceuticals", "Ilko Pharmaceuticals", "ILKO Ilac San. ve Tic. A.S." ], "country": "Turkey", "countryCode": "TR", "languageCode": "tr" }' | apify call fabri-lab/linkedln-employee-scraper-cheap-and-fast --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fabri-lab/linkedln-employee-scraper-cheap-and-fast", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedln Employee Scraper - Cheap and Fast", "description": "Find public LinkedIn employee candidates for a company using company name, aliases, country, and target result count. The Actor returns clean, deduplicated profile leads with name, title, matched company, LinkedIn URL, confidence score, and run status.", "version": "0.0", "x-build-id": "0bZ4ZIWmEdtssHp6I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fabri-lab~linkedln-employee-scraper-cheap-and-fast/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fabri-lab-linkedln-employee-scraper-cheap-and-fast", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fabri-lab~linkedln-employee-scraper-cheap-and-fast/runs": { "post": { "operationId": "runs-sync-fabri-lab-linkedln-employee-scraper-cheap-and-fast", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fabri-lab~linkedln-employee-scraper-cheap-and-fast/run-sync": { "post": { "operationId": "run-sync-fabri-lab-linkedln-employee-scraper-cheap-and-fast", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companyName" ], "properties": { "companyName": { "title": "Full company name", "type": "string", "description": "Enter the full official company name, not only a short brand word. Use the legal name, full brand name, or LinkedIn company name for best accuracy. Example: use \"Marti Technologies Inc\" or \"Marti Teknoloji A.S.\" instead of only \"Marti\"." }, "companyAliases": { "title": "Company aliases", "type": "array", "description": "Add full alternative names, legal names, English names, local-language spellings, and common LinkedIn company names. Avoid vague one-word aliases unless they are unique.", "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Country hint for improving candidate quality, especially when the company name is used by multiple businesses." }, "countryCode": { "title": "Country code", "type": "string", "description": "Two-letter country code." }, "languageCode": { "title": "Language code", "type": "string", "description": "Preferred result language." }, "maxResults": { "title": "Employees to find", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Target number of employee candidates to return when enough public matches are available.", "default": 50 }, "findAllEmployees": { "title": "Find all available", "type": "boolean", "description": "Keep searching until available public candidates are exhausted or the protected run limit is reached.", "default": false }, "searchDepth": { "title": "Search depth", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Higher values can find more candidates but may take longer.", "default": 50 } } }, "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 } } } } } } } } } } ```