# LinkedIn MCP Server (`seemuapps/linkedin-mcp`) Actor MCP server exposing LinkedIn scraping tools. Profiles, companies, posts, jobs, people search, job search, for any AI agent or LLM client. - **URL**: https://apify.com/seemuapps/linkedin-mcp.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** MCP servers, Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 MCP Server The all-in-one MCP server for LinkedIn. Plug any AI agent — Claude, Cursor, ChatGPT, VS Code, or your own — into a single endpoint and pull live data from LinkedIn: full people profiles, company pages, posts, job listings, and people / job search. ### What you get - **Full people profiles** — name, headline, location, about, avatar and banner, follower and connection counts, current company, full work experience, education history, languages, certifications, recent activity, and bio links - **Company pages** — name, logo, slogan, about, description, website, headquarters, locations, employee count on LinkedIn, follower count, company size, industries, specialties, founded year, employees showcase, and similar companies - **Posts and engagement** — post text, hashtags, embedded links, images, videos, like and comment counts, post type, repost data, tagged companies and people, and author info; collect specific post URLs or discover all posts from a person or company - **Job listings** — title, company, location, summary, seniority, employment type, industries, base pay range, applicant count, easy-apply flag, apply link, and job poster info - **People search** — find LinkedIn profiles by name and pipe the URLs straight into `get-profile` for full enrichment - **Job search** — keyword + location, filtered by country, time range, job type, experience level, remote/hybrid/onsite, and employer - **Bulk lookups** — query up to 20 URLs in a single call for profiles, companies, posts, and jobs - **Saved media** — profile pictures and company logos are saved to the run's Apify Key-Value Store and returned as permanent signed URLs (`profilePicStorageUrl`, `logoStorageUrl`) - **One endpoint, six tools** — no glue code, no per-tool integrations, no scraping infrastructure to maintain ### Use cases - **B2B sales prospecting** — enrich a list of LinkedIn URLs with full profile data, current role, and seniority for outbound outreach - **Recruiting and sourcing** — search by name or job keyword, then pull the full work history, education, and recent activity for every candidate - **Lead generation** — build target lists by scraping company employees, then enrich each profile in bulk - **Competitive intelligence** — track competitor headcount, hiring patterns, post engagement, and company updates - **Account research** — pull the full picture for a target company before a sales call: size, industries, locations, and key employees - **Market and talent mapping** — discover everyone with a given title in a region, then enrich with full profile data - **AI agents and assistants** — give any LLM live LinkedIn access without building a custom scraper ### Tools exposed | Tool | Returns | |------------------|--------------------------------------------------------------------------------------| | `get-profile` | Full people profile data for up to 20 LinkedIn /in/ URLs per call | | `get-company` | Full company page data for up to 20 LinkedIn /company/ URLs per call | | `get-post` | Post content + engagement; modes: by post URL, by profile URL, or by company URL | | `get-job` | Full job listing details for up to 20 LinkedIn /jobs/view/ URLs per call | | `search-people` | Search by name (max 50 names per call); returns matching profile URLs and snippets | | `search-jobs` | Job search by keyword, location, country, time range, type, seniority, remote, company | ### How to use Use Apify's hosted MCP gateway — it generates ready-to-paste config snippets for Claude Desktop, Cursor, VS Code, ChatGPT, and any other MCP-compatible client: **[mcp.apify.com/?tools=seemuapps/linkedin-mcp](https://mcp.apify.com/?tools=seemuapps/linkedin-mcp)** Open the link, sign in, and copy the snippet for your client. #### Where to get your Apify API token Go to **[console.apify.com/settings/integrations](https://console.apify.com/settings/integrations)** and copy your **Personal API token**. (Sign in or create a free account if you haven't already.) The token authorizes calls to the MCP server and is what Apify uses to bill you for tool calls. ### Pricing (pay-per-event) | Tool | Event | Charged | |------------------|-----------------|--------------------------------------------------------------| | `get-profile` | `profile` | Once per profile successfully returned | | `get-company` | `company` | Once per company page successfully returned | | `get-post` | `post` | Once per post successfully returned | | `get-job` | `job` | Once per job listing successfully returned | | `search-people` | `person-result` | Once per matched person returned | | `search-jobs` | `job` | Once per matching job returned | Failed calls are not charged. Partial failures (e.g. one bad URL in a batch) are reported per-item without aborting the whole call. ### Notes - LinkedIn data is fetched live; results reflect the public profile or page at the time of the call. - Some calls may take **30 seconds to 2 minutes** to return because the upstream provider runs an async snapshot — set generous timeouts in your MCP client. - `get-post` in **discoverByProfileUrl** or **discoverByCompanyUrl** mode can return many posts per URL — cap with `maxItems` if you only want the latest few. - `search-people` works best with reasonably distinctive names; common names will return a mix of matches that you'll want to disambiguate before calling `get-profile`. - `search-jobs` returns up-to-date listings; pipe `url` from each result back into `get-job` for the full job description and metadata. # Actor input Schema ## `tool` (type: `string`): Pick a tool to run and save results to the dataset, or leave empty to start the actor as an MCP Standby server. ## `urls` (type: `array`): LinkedIn URLs — required by get-profile (profile URLs), get-company (company URLs), get-post (post or profile/company URLs), and get-job (job listing URLs). Max 20 per call. ## `people` (type: `array`): Names to search for ('FirstName LastName' per entry) — used by search-people. Max 50. ## `keyword` (type: `string`): Job title, skill, or keyword — used by search-jobs. ## `location` (type: `string`): City, region, or country — used by search-jobs. ## `country` (type: `string`): Optional ISO country code (e.g. 'US', 'GB') — used by search-jobs. ## `timeRange` (type: `string`): Filter by how recently the job was posted — used by search-jobs. ## `jobType` (type: `string`): Employment type filter — used by search-jobs. ## `experienceLevel` (type: `string`): Seniority filter — used by search-jobs. ## `remote` (type: `string`): On-site / remote / hybrid — used by search-jobs. ## `company` (type: `string`): Restrict search to a specific employer — used by search-jobs. ## `postMode` (type: `string`): How to interpret the URLs passed to get-post. ## `startDate` (type: `string`): ISO 8601 lower-bound for get-post (discover modes only). ## `endDate` (type: `string`): ISO 8601 upper-bound for get-post (discover modes only). ## `onlyAuthoredPosts` (type: `boolean`): When using discoverByProfileUrl, return only posts authored by the person. ## `maxItems` (type: `integer`): Max items returned by search-jobs / get-post. 0 = no limit. ## `maxResults` (type: `integer`): Max results returned by search-people. 0 = no limit. ## Actor input object example ```json { "tool": "", "timeRange": "", "jobType": "", "experienceLevel": "", "remote": "", "postMode": "discoverByProfileUrl", "onlyAuthoredPosts": false, "maxItems": 0, "maxResults": 0 } ```` # Actor output Schema ## `results` (type: `string`): Records produced by the selected tool: profiles (get-profile), companies (get-company), posts (get-post), jobs (get-job, search-jobs), or people (search-people). One record per row. ## `keyValueStore` (type: `string`): Profile pictures (get-profile) and company logos (get-company) saved here, returned as profilePicStorageUrl / logoStorageUrl in each record. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/linkedin-mcp").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 = {} # Run the Actor and wait for it to finish run = client.actor("seemuapps/linkedin-mcp").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 '{}' | apify call seemuapps/linkedin-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/linkedin-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn MCP Server", "description": "MCP server exposing LinkedIn scraping tools. Profiles, companies, posts, jobs, people search, job search, for any AI agent or LLM client.", "version": "1.0", "x-build-id": "roJOW4nEReRYFQpZf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~linkedin-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-linkedin-mcp", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~linkedin-mcp/runs": { "post": { "operationId": "runs-sync-seemuapps-linkedin-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~linkedin-mcp/run-sync": { "post": { "operationId": "run-sync-seemuapps-linkedin-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "tool": { "title": "Tool", "enum": [ "", "get-profile", "get-company", "get-post", "get-job", "search-people", "search-jobs" ], "type": "string", "description": "Pick a tool to run and save results to the dataset, or leave empty to start the actor as an MCP Standby server.", "default": "" }, "urls": { "title": "URLs", "type": "array", "description": "LinkedIn URLs — required by get-profile (profile URLs), get-company (company URLs), get-post (post or profile/company URLs), and get-job (job listing URLs). Max 20 per call.", "items": { "type": "string" } }, "people": { "title": "People (names)", "type": "array", "description": "Names to search for ('FirstName LastName' per entry) — used by search-people. Max 50.", "items": { "type": "string" } }, "keyword": { "title": "Keyword", "type": "string", "description": "Job title, skill, or keyword — used by search-jobs." }, "location": { "title": "Location", "type": "string", "description": "City, region, or country — used by search-jobs." }, "country": { "title": "Country code", "type": "string", "description": "Optional ISO country code (e.g. 'US', 'GB') — used by search-jobs." }, "timeRange": { "title": "Time range", "enum": [ "", "Past 24 hours", "Past week", "Past month" ], "type": "string", "description": "Filter by how recently the job was posted — used by search-jobs.", "default": "" }, "jobType": { "title": "Job type", "enum": [ "", "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Volunteer", "Other" ], "type": "string", "description": "Employment type filter — used by search-jobs.", "default": "" }, "experienceLevel": { "title": "Experience level", "enum": [ "", "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive" ], "type": "string", "description": "Seniority filter — used by search-jobs.", "default": "" }, "remote": { "title": "Work arrangement", "enum": [ "", "On-site", "Remote", "Hybrid" ], "type": "string", "description": "On-site / remote / hybrid — used by search-jobs.", "default": "" }, "company": { "title": "Company", "type": "string", "description": "Restrict search to a specific employer — used by search-jobs." }, "postMode": { "title": "Post mode", "enum": [ "discoverByProfileUrl", "discoverByCompanyUrl", "collectByUrl" ], "type": "string", "description": "How to interpret the URLs passed to get-post.", "default": "discoverByProfileUrl" }, "startDate": { "title": "Start date (posts)", "type": "string", "description": "ISO 8601 lower-bound for get-post (discover modes only)." }, "endDate": { "title": "End date (posts)", "type": "string", "description": "ISO 8601 upper-bound for get-post (discover modes only)." }, "onlyAuthoredPosts": { "title": "Only authored posts", "type": "boolean", "description": "When using discoverByProfileUrl, return only posts authored by the person.", "default": false }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Max items returned by search-jobs / get-post. 0 = no limit.", "default": 0 }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Max results returned by search-people. 0 = no limit.", "default": 0 } } }, "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 } } } } } } } } } } ```