# Mass Linkedin Profile Scraper (No Cookies) (`mpg_agents/linkedin-profile-scraper`) Actor Mass-scrape public LinkedIn profiles without login. Extracts name, headline, experience, education, skills, certifications, languages, recommendations, and recent posts. - **URL**: https://apify.com/mpg\_agents/linkedin-profile-scraper.md - **Developed by:** [MPG Agents](https://apify.com/mpg_agents) (community) - **Categories:** Social media - **Stats:** 4 total users, 2 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. 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 Profile Scraper An Apify actor that scrapes public LinkedIn profiles without login. Extracts all publicly visible data including name, headline, experience, education, skills, certifications, languages, recommendations, and recent posts. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `profileUrls` | array | required | LinkedIn profile URLs to scrape | | `maxConcurrency` | integer | 3 | Max parallel browser pages | | `minDelayMs` | integer | 3000 | Min random delay between requests (ms) | | `maxDelayMs` | integer | 7000 | Max random delay between requests (ms) | | `proxyConfiguration` | object | — | Apify proxy config (residential recommended) | ### Example Input ```json { "profileUrls": [ { "url": "https://www.linkedin.com/in/williamhgates" }, { "url": "https://www.linkedin.com/in/satyanadella" } ], "maxConcurrency": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Output Each profile produces one dataset row with fields: - `profileUrl`, `name`, `headline`, `location`, `profilePicUrl` - `connectionsCount`, `followerCount`, `about` - `experience` (array), `education` (array), `skills` (array) - `certifications` (array), `languages` (array) - `recommendations` (array), `recentPosts` (array) - `scrapedAt` (ISO timestamp) ### Running Locally ```bash npm install echo '{ "profileUrls": [{ "url": "https://www.linkedin.com/in/williamhgates" }] }' > storage/key_value_stores/default/INPUT.json npm start ``` ### Notes - Only scrapes publicly visible data — no login required - Profiles with strict privacy settings may yield partial data - Use residential proxies for best results on Apify platform - Keep concurrency low (2-5) to avoid LinkedIn rate limiting # Actor input Schema ## `profileUrls` (type: `array`): List of LinkedIn profile URLs to scrape (e.g., https://www.linkedin.com/in/username) ## `maxConcurrency` (type: `integer`): Maximum number of browser pages running in parallel. ## `maxRequestsPerMinute` (type: `integer`): Global rate limit — maximum number of profile requests per minute across all concurrent pages. LinkedIn typically tolerates ~20/min without login. ## `minDelayMs` (type: `integer`): Minimum random delay between requests in milliseconds. Increases exponentially on retries. ## `maxDelayMs` (type: `integer`): Maximum random delay between requests in milliseconds. Increases exponentially on retries. ## `batchSize` (type: `integer`): Number of profiles per batch. After each batch, a cooldown period is applied. Only relevant for large runs (50+ profiles). ## `batchCooldownSecs` (type: `integer`): Seconds to wait between batches. Gives LinkedIn rate limits time to reset. ## `proxyConfiguration` (type: `object`): Apify proxy settings. Residential proxies recommended for LinkedIn. ## Actor input object example ```json { "profileUrls": [ { "url": "https://www.linkedin.com/in/williamhgates" } ], "maxConcurrency": 5, "maxRequestsPerMinute": 20, "minDelayMs": 1000, "maxDelayMs": 3000, "batchSize": 50, "batchCooldownSecs": 30, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `profileUrl` (type: `string`): LinkedIn profile URL ## `name` (type: `string`): Full name ## `headline` (type: `string`): Professional headline ## `location` (type: `string`): Location ## `profilePicUrl` (type: `string`): Profile picture URL ## `about` (type: `string`): About / summary section ## `connectionsCount` (type: `string`): Number of connections ## `followerCount` (type: `string`): Number of followers ## `scrapedAt` (type: `string`): ISO timestamp of when the profile was scraped # 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 = { "profileUrls": [ { "url": "https://www.linkedin.com/in/williamhgates" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("mpg_agents/linkedin-profile-scraper").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 = { "profileUrls": [{ "url": "https://www.linkedin.com/in/williamhgates" }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("mpg_agents/linkedin-profile-scraper").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 '{ "profileUrls": [ { "url": "https://www.linkedin.com/in/williamhgates" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call mpg_agents/linkedin-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mpg_agents/linkedin-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mass Linkedin Profile Scraper (No Cookies)", "description": "Mass-scrape public LinkedIn profiles without login. Extracts name, headline, experience, education, skills, certifications, languages, recommendations, and recent posts.", "version": "1.0", "x-build-id": "ip1FpM03ponfcK8ej" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mpg_agents~linkedin-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mpg_agents-linkedin-profile-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mpg_agents~linkedin-profile-scraper/runs": { "post": { "operationId": "runs-sync-mpg_agents-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mpg_agents~linkedin-profile-scraper/run-sync": { "post": { "operationId": "run-sync-mpg_agents-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "profileUrls" ], "properties": { "profileUrls": { "title": "Profile URLs", "type": "array", "description": "List of LinkedIn profile URLs to scrape (e.g., https://www.linkedin.com/in/username)", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of browser pages running in parallel.", "default": 5 }, "maxRequestsPerMinute": { "title": "Max Requests Per Minute", "minimum": 1, "maximum": 60, "type": "integer", "description": "Global rate limit — maximum number of profile requests per minute across all concurrent pages. LinkedIn typically tolerates ~20/min without login.", "default": 20 }, "minDelayMs": { "title": "Min Delay (ms)", "minimum": 0, "type": "integer", "description": "Minimum random delay between requests in milliseconds. Increases exponentially on retries.", "default": 1000 }, "maxDelayMs": { "title": "Max Delay (ms)", "minimum": 0, "type": "integer", "description": "Maximum random delay between requests in milliseconds. Increases exponentially on retries.", "default": 3000 }, "batchSize": { "title": "Batch Size", "minimum": 10, "maximum": 200, "type": "integer", "description": "Number of profiles per batch. After each batch, a cooldown period is applied. Only relevant for large runs (50+ profiles).", "default": 50 }, "batchCooldownSecs": { "title": "Batch Cooldown (seconds)", "minimum": 5, "maximum": 300, "type": "integer", "description": "Seconds to wait between batches. Gives LinkedIn rate limits time to reset.", "default": 30 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy settings. Residential proxies recommended for LinkedIn." } } }, "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 } } } } } } } } } } ```