# LinkedIn All-in-One Scraper ✅ No cookies (`scrapeforge/linkedin-all-in-one`) Actor Search LinkedIn posts by keywords, scrape profile posts, company posts, and get post details — all in one actor. Powered by real-time data, no cookies required. - **URL**: https://apify.com/scrapeforge/linkedin-all-in-one.md - **Developed by:** [ScrapeForge](https://apify.com/scrapeforge) (community) - **Categories:** Social media, Lead generation, Jobs - **Stats:** 6 total users, 3 monthly users, 65.7% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 All-in-One Scraper Search LinkedIn posts by keyword, scrape profile posts, company posts, or fetch individual post details — all in a single actor. ### Features - **Post Search** — Search any LinkedIn post by keywords, with filters by company, author, date range, and content type - **Profile Posts** — Extract all posts from one or more LinkedIn profiles - **Company Posts** — Extract all posts from one or more LinkedIn company pages - **Post Detail** — Get full details for specific posts by URL - No cookies or LinkedIn account required - Real-time data - Automatic pagination ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | string | `post-search`, `profile-posts`, `company-posts`, or `post-detail` | | `search` | string | Keywords (post-search only) | | `profileUrls` | array | LinkedIn profile URLs | | `companyUrls` | array | LinkedIn company page URLs | | `postUrls` | array | LinkedIn post URLs (post-detail only) | | `postedLimit` | string | Filter by recency: `24h`, `week`, `month` (post-search only) | | `sortBy` | string | `relevance` or `date` (post-search only) | | `contentType` | string | `videos`, `images`, `documents`, etc. (post-search only) | | `maxPosts` | integer | Max posts to extract (0 = unlimited, default: 100) | ### Output Each item in the dataset contains: ```json { "id": "urn:li:activity:1234567890", "url": "https://www.linkedin.com/posts/...", "content": "Post text content...", "postedAt": "2024-01-15", "postedTimestamp": 1705276800, "author": { "id": "...", "name": "John Doe", "url": "https://www.linkedin.com/in/johndoe/", "avatar": "https://..." }, "engagement": { "likes": 142, "comments": 23, "shares": 8, "reactions": 156 }, "media": { "images": ["https://..."], "video": null }, "article": { "title": "Article title", "description": "...", "url": "https://..." }, "isRepost": false, "repostedBy": null, "source": "post-search" } ```` ### Example Inputs #### Search posts by keyword ```json { "mode": "post-search", "search": "artificial intelligence startup", "postedLimit": "week", "sortBy": "date", "maxPosts": 50 } ``` #### Get posts from a company ```json { "mode": "company-posts", "companyUrls": ["https://www.linkedin.com/company/openai/"], "maxPosts": 100 } ``` #### Get posts from a profile ```json { "mode": "profile-posts", "profileUrls": ["https://www.linkedin.com/in/satyanadella/"], "maxPosts": 50 } ``` #### Get post details ```json { "mode": "post-detail", "postUrls": [ "https://www.linkedin.com/posts/username_activity-1234567890-abcd" ] } ``` # Actor input Schema ## `mode` (type: `string`): Choose what to scrape. ## `search` (type: `string`): Keywords to search for in LinkedIn posts. Supports boolean operators (e.g. "AI AND startup"). Only used in post-search mode. ## `profileUrls` (type: `array`): LinkedIn profile URLs to scrape posts from. Used in profile-posts and post-search (author filter) modes. ## `companyUrls` (type: `array`): LinkedIn company page URLs to scrape posts from. Used in company-posts and post-search (company filter) modes. ## `postUrls` (type: `array`): LinkedIn post URLs to retrieve details for. Only used in post-detail mode. ## `postedLimit` (type: `string`): Filter posts by how recently they were posted. Only used in post-search mode. ## `sortBy` (type: `string`): Sort posts by relevance or most recent. Only used in post-search mode. ## `contentType` (type: `string`): Filter by content type. Only used in post-search mode. ## `maxPosts` (type: `integer`): Maximum number of posts to extract. Use 0 for unlimited. ## Actor input object example ```json { "mode": "post-search", "search": "artificial intelligence startup", "profileUrls": [ "https://www.linkedin.com/in/username/" ], "companyUrls": [ "https://www.linkedin.com/company/openai/" ], "postUrls": [ "https://www.linkedin.com/posts/username_activity-1234567890-abcd" ], "postedLimit": "", "sortBy": "relevance", "contentType": "", "maxPosts": 100 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("scrapeforge/linkedin-all-in-one").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("scrapeforge/linkedin-all-in-one").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 scrapeforge/linkedin-all-in-one --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeforge/linkedin-all-in-one", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn All-in-One Scraper ✅ No cookies", "description": "Search LinkedIn posts by keywords, scrape profile posts, company posts, and get post details — all in one actor. Powered by real-time data, no cookies required.", "version": "1.0", "x-build-id": "hQ0HzD6hLIEO8bG59" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeforge~linkedin-all-in-one/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeforge-linkedin-all-in-one", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeforge~linkedin-all-in-one/runs": { "post": { "operationId": "runs-sync-scrapeforge-linkedin-all-in-one", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeforge~linkedin-all-in-one/run-sync": { "post": { "operationId": "run-sync-scrapeforge-linkedin-all-in-one", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "post-search", "profile-posts", "company-posts", "post-detail" ], "type": "string", "description": "Choose what to scrape.", "default": "post-search" }, "search": { "title": "Search keywords", "type": "string", "description": "Keywords to search for in LinkedIn posts. Supports boolean operators (e.g. \"AI AND startup\"). Only used in post-search mode." }, "profileUrls": { "title": "Profile URLs", "type": "array", "description": "LinkedIn profile URLs to scrape posts from. Used in profile-posts and post-search (author filter) modes.", "items": { "type": "string" } }, "companyUrls": { "title": "Company URLs", "type": "array", "description": "LinkedIn company page URLs to scrape posts from. Used in company-posts and post-search (company filter) modes.", "items": { "type": "string" } }, "postUrls": { "title": "Post URLs", "type": "array", "description": "LinkedIn post URLs to retrieve details for. Only used in post-detail mode.", "items": { "type": "string" } }, "postedLimit": { "title": "Posted within", "enum": [ "", "24h", "week", "month" ], "type": "string", "description": "Filter posts by how recently they were posted. Only used in post-search mode.", "default": "" }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "date" ], "type": "string", "description": "Sort posts by relevance or most recent. Only used in post-search mode.", "default": "relevance" }, "contentType": { "title": "Content type", "enum": [ "", "videos", "images", "documents", "live_videos", "collaborative_articles", "jobs" ], "type": "string", "description": "Filter by content type. Only used in post-search mode.", "default": "" }, "maxPosts": { "title": "Max posts", "minimum": 0, "type": "integer", "description": "Maximum number of posts to extract. Use 0 for unlimited.", "default": 100 } } }, "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 } } } } } } } } } } ```