# LinkedIn Profile Scraper ( no cookies ) (`mina_safwat/linkedin-profile-scraper-no-cookies`) Actor Scrapes public LinkedIn profile data very fast without cookies - **URL**: https://apify.com/mina\_safwat/linkedin-profile-scraper-no-cookies.md - **Developed by:** [Mina](https://apify.com/mina_safwat) (community) - **Categories:** Lead generation, AI, Automation - **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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 Profile Scraper Scrapes public LinkedIn profiles. Provide a list of URLs and get one structured record per profile — name, headline, location, experience, education, recent posts, and more. ### Input | field | type | required | notes | |---|---|---|---| | `profile_urls` | array of strings | yes | LinkedIn profile URLs | | `li_at_cookie` | string (secret) | no | Optional session cookie used as a fallback for profiles that aren't publicly visible | | `proxy_country` | string | no, default `US` | two-letter country code | | `max_concurrency` | int 1–20 | no, default `1` | higher = faster but more likely to be rate-limited | | `include_raw` | boolean | no, default `false` | include raw `og:*` meta and JSON-LD in output | ### Output One dataset record per input URL: ```json { "url": "https://www.linkedin.com/in/williamhgates/", "status": 200, "name": "Bill Gates", "headline": "Chair, Gates Foundation and Founder, Breakthrough Energy", "tagline": "Creator, Top Voice", "description": "Chair of the Gates Foundation. Founder of Breakthrough Energy...", "image": "https://media.licdn.com/...", "location": "Seattle, Washington, United States", "country": "US", "follower_count": 40304014, "experience": [ { "name": "Gates Foundation", "url": "...", "start_year": 2000, "end_year": null } ], "education": [ { "name": "Harvard University", "url": "...", "start_year": 1973, "end_year": 1975 } ], "recent_articles": [ { "title": "...", "url": "...", "published_at": "...", "likes": 2994 } ], "recent_posts": [ { "text": "...", "url": "...", "published_at": "...", "likes": 1203 } ] } ```` When a fetch fails entirely you get `{ "url": "...", "error": "..." }`. # Actor input Schema ## `profile_urls` (type: `array`): List of LinkedIn profile URLs to scrape, e.g. https://www.linkedin.com/in/williamhgates/ ## `li_at_cookie` (type: `string`): Optional session cookie used as a fallback for profiles that aren't publicly visible. Leave blank to use the built-in default. Treat as a secret. ## `proxy_country` (type: `string`): Two-letter country code(s) for Apify residential proxy. Comma-separate to rotate across countries per retry (e.g. "US,GB,DE,CA,FR") — spreads IP-pool load and reduces 999/404 rates. A single value (e.g. "US") pins all retries to one country. ## `max_concurrency` (type: `integer`): Higher concurrency = faster but more likely to be flagged. 1 is safest; consider 2-3 for small batches. ## `include_raw` (type: `boolean`): Off by default. Turn on for debugging or to access fields not yet surfaced as structured properties. ## Actor input object example ```json { "profile_urls": [ "https://www.linkedin.com/in/mina-safwat-9a1a3b1bb" ], "proxy_country": "US,GB,DE,CA,FR", "max_concurrency": 1, "include_raw": false } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "profile_urls": [ "https://www.linkedin.com/in/mina-safwat-9a1a3b1bb" ], "proxy_country": "US,GB,DE,CA,FR" }; // Run the Actor and wait for it to finish const run = await client.actor("mina_safwat/linkedin-profile-scraper-no-cookies").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 = { "profile_urls": ["https://www.linkedin.com/in/mina-safwat-9a1a3b1bb"], "proxy_country": "US,GB,DE,CA,FR", } # Run the Actor and wait for it to finish run = client.actor("mina_safwat/linkedin-profile-scraper-no-cookies").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 '{ "profile_urls": [ "https://www.linkedin.com/in/mina-safwat-9a1a3b1bb" ], "proxy_country": "US,GB,DE,CA,FR" }' | apify call mina_safwat/linkedin-profile-scraper-no-cookies --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mina_safwat/linkedin-profile-scraper-no-cookies", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper ( no cookies )", "description": "Scrapes public LinkedIn profile data very fast without cookies", "version": "0.0", "x-build-id": "7ZxUizLqF3Otjx6GI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mina_safwat~linkedin-profile-scraper-no-cookies/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mina_safwat-linkedin-profile-scraper-no-cookies", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mina_safwat~linkedin-profile-scraper-no-cookies/runs": { "post": { "operationId": "runs-sync-mina_safwat-linkedin-profile-scraper-no-cookies", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mina_safwat~linkedin-profile-scraper-no-cookies/run-sync": { "post": { "operationId": "run-sync-mina_safwat-linkedin-profile-scraper-no-cookies", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "profile_urls": { "title": "LinkedIn profile URLs", "type": "array", "description": "List of LinkedIn profile URLs to scrape, e.g. https://www.linkedin.com/in/williamhgates/", "items": { "type": "string" } }, "li_at_cookie": { "title": "LinkedIn session cookie (optional)", "type": "string", "description": "Optional session cookie used as a fallback for profiles that aren't publicly visible. Leave blank to use the built-in default. Treat as a secret." }, "proxy_country": { "title": "Proxy countries (comma-separated)", "type": "string", "description": "Two-letter country code(s) for Apify residential proxy. Comma-separate to rotate across countries per retry (e.g. \"US,GB,DE,CA,FR\") — spreads IP-pool load and reduces 999/404 rates. A single value (e.g. \"US\") pins all retries to one country.", "default": "US,GB,DE,CA,FR" }, "max_concurrency": { "title": "Max concurrent requests", "minimum": 1, "maximum": 20, "type": "integer", "description": "Higher concurrency = faster but more likely to be flagged. 1 is safest; consider 2-3 for small batches.", "default": 1 }, "include_raw": { "title": "Include raw og:* meta and JSON-LD in output", "type": "boolean", "description": "Off by default. Turn on for debugging or to access fields not yet surfaced as structured properties.", "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 } } } } } } } } } } ```