# PRO Posts LinkedIn Scraper (`atomus/linkedin-posts-scraper-pro`) Actor Scrape all posts from LinkedIn profiles and company pages with engagement stats. Auto-pagination, no cookies needed. - **URL**: https://apify.com/atomus/linkedin-posts-scraper-pro.md - **Developed by:** [Atomus APIs](https://apify.com/atomus) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 18 total users, 12 monthly users, 97.8% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## 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 ## PRO Posts LinkedIn Scraper Scrape all posts from LinkedIn profiles and company pages with engagement stats. Auto-pagination, no cookies needed. > For other LinkedIn tools by Dende Labs: https://apify.com/dendelabs --- ### What You Get - Full post content, images, videos, articles, and carousel/document slides - Engagement breakdown: likes, comments, shares, reactions by type - Author details: name, headline, avatar, website, LinkedIn ID - Mentions and links within post content - Repost detection with original author info - Time and content type filters - Batch processing: multiple profiles and companies in one run No LinkedIn account or cookies required. --- ### Input #### Quick Start ```json { "profiles": ["https://www.linkedin.com/in/satyanadella/"] } ```` #### All Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `profiles` | string\[] | `[]` | LinkedIn profile URLs or usernames | | `companies` | string\[] | `[]` | LinkedIn company page URLs or usernames | | `maxPosts` | integer | `0` | Max posts per source (`0` = unlimited) | | `postedLimit` | string | `none` | Time filter: `24h`, `week`, `month` | | `postedAfterDate` | string | - | Only posts after this date (ISO format, e.g. `2025-01-01`) | | `contentType` | string | `all` | Filter: `videos`, `images`, `documents`, `jobs` | | `sortBy` | string | `date` | Sort by `date` or `relevance` | | `latestPostOnly` | boolean | `false` | Only fetch the most recent post per source | | `includeSharedPosts` | boolean | `true` | Include quote posts (someone reposted and added their own text) | | `includeReposts` | boolean | `true` | Include simple reposts (shared as-is, no added text) | At least one profile or company URL is required. *** ### Output Every dataset item has a `type` field: `post`. #### Post ```json { "type": "post", "author_name": "Satya Nadella", "content": "Today at Microsoft Build...", "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:123/", "posted_at": "2026-03-15T14:30:00.000Z", "posted_ago": "2 weeks ago", "is_repost": false, "images": ["https://media.licdn.com/..."], "video_url": null, "article": null, "doc": null, "mentions": [ { "start": 0, "length": 9, "type": "COMPANY_NAME", "url": "https://www.linkedin.com/company/microsoft/", "name": "Microsoft" } ], "share_url": "https://www.linkedin.com/posts/...", "engagement": { "total_reactions": 15234, "comments": 892, "shares": 1205, "reactions": [ { "type": "LIKE", "count": 10000 }, { "type": "PRAISE", "count": 3000 } ] }, "author": { "name": "Satya Nadella", "username": "satyanadella", "headline": "Chairman and CEO at Microsoft", "linkedinUrl": "https://www.linkedin.com/in/satyanadella/", "avatar": "https://media.licdn.com/...", "linkedin_id": "ACoAAA8BYqEBCGLg...", "website_url": "https://example.com", "website_label": "My website" }, "reposted_by": null, "_metadata": { "post_id": "7302346926123798528", "extracted_at": "2026-03-30T12:00:00.000Z", "source_url": "https://www.linkedin.com/in/satyanadella/" } } ``` #### Carousel / Document Post When a post contains a document or carousel slides, the `doc` field is populated: ```json { "doc": { "title": "How we grew 10x in 6 months", "pdf_url": "https://media.licdn.com/dms/document/...", "slide_images": [ "https://media.licdn.com/.../0/...", "https://media.licdn.com/.../1/...", "https://media.licdn.com/.../2/..." ], "total_slides": 7 } } ``` Note: `slide_images` contains cover previews (up to 3). Use `pdf_url` to access the full document. *** ### Billing Posts are billed as dataset items via Apify's pay-per-event model. *** ### Examples #### Multiple profiles and companies ```json { "profiles": ["satyanadella", "jeffweiner08"], "companies": ["microsoft", "google"], "maxPosts": 50 } ``` #### Only original posts (no reposts) ```json { "profiles": ["satyanadella"], "includeReposts": false } ``` #### Posts after a specific date ```json { "profiles": ["satyanadella"], "postedAfterDate": "2026-01-01" } ``` #### Quick activity check Use `latestPostOnly` to check if a profile posted recently without scraping everything: ```json { "profiles": ["satyanadella"], "latestPostOnly": true } ``` *** ### Disclaimer This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn is a registered trademark of LinkedIn Corporation. # Actor input Schema ## `profiles` (type: `array`): LinkedIn profile URLs or usernames. Examples: https://www.linkedin.com/in/satyanadella/ or just satyanadella ## `companies` (type: `array`): LinkedIn company URLs or usernames. Examples: https://www.linkedin.com/company/microsoft/ or just microsoft ## `maxPosts` (type: `integer`): Maximum number of posts to extract per profile or company. 0 = unlimited. ## `postedLimit` (type: `string`): Only scrape posts published within this time period. ## `postedAfterDate` (type: `string`): Only scrape posts published after this date. Supports ISO format (e.g. 2025-01-01) or timestamps. ## `contentType` (type: `string`): Only scrape posts with specific content types. ## `sortBy` (type: `string`): How to sort results. ## `latestPostOnly` (type: `boolean`): If enabled, only fetches the most recent post for each profile/company. Useful for checking if there are new posts before running a full scrape. ## `includeSharedPosts` (type: `boolean`): Include posts that someone shared and added their own text on top. For example, when a user reposts an article and writes their opinion about it. Disable this to only get original posts. ## `includeReposts` (type: `boolean`): Include posts that someone simply reposted as-is, without adding any text of their own. These are the 'repost' button shares with no original commentary. Disable this to only get original posts and quote posts. ## Actor input object example ```json { "profiles": [], "companies": [], "maxPosts": 0, "postedLimit": "none", "contentType": "all", "sortBy": "date", "latestPostOnly": false, "includeSharedPosts": true, "includeReposts": true } ``` # Actor output Schema ## `posts` (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("atomus/linkedin-posts-scraper-pro").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("atomus/linkedin-posts-scraper-pro").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 atomus/linkedin-posts-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=atomus/linkedin-posts-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PRO Posts LinkedIn Scraper", "description": "Scrape all posts from LinkedIn profiles and company pages with engagement stats. Auto-pagination, no cookies needed.", "version": "1.0", "x-build-id": "g863yGFw4uOai1KEv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/atomus~linkedin-posts-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-atomus-linkedin-posts-scraper-pro", "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/atomus~linkedin-posts-scraper-pro/runs": { "post": { "operationId": "runs-sync-atomus-linkedin-posts-scraper-pro", "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/atomus~linkedin-posts-scraper-pro/run-sync": { "post": { "operationId": "run-sync-atomus-linkedin-posts-scraper-pro", "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": { "profiles": { "title": "LinkedIn Usernames or Profile URLs", "type": "array", "description": "LinkedIn profile URLs or usernames. Examples: https://www.linkedin.com/in/satyanadella/ or just satyanadella", "items": { "type": "string" }, "default": [] }, "companies": { "title": "LinkedIn Company Usernames or Company URLs", "type": "array", "description": "LinkedIn company URLs or usernames. Examples: https://www.linkedin.com/company/microsoft/ or just microsoft", "items": { "type": "string" }, "default": [] }, "maxPosts": { "title": "Max Posts per Profile/Company", "minimum": 0, "type": "integer", "description": "Maximum number of posts to extract per profile or company. 0 = unlimited.", "default": 0 }, "postedLimit": { "title": "Posted Within", "enum": [ "none", "24h", "week", "month" ], "type": "string", "description": "Only scrape posts published within this time period.", "default": "none" }, "postedAfterDate": { "title": "Posted After Date", "type": "string", "description": "Only scrape posts published after this date. Supports ISO format (e.g. 2025-01-01) or timestamps." }, "contentType": { "title": "Content Type Filter", "enum": [ "all", "videos", "images", "documents", "jobs" ], "type": "string", "description": "Only scrape posts with specific content types.", "default": "all" }, "sortBy": { "title": "Sort By", "enum": [ "date", "relevance" ], "type": "string", "description": "How to sort results.", "default": "date" }, "latestPostOnly": { "title": "Latest Post Only", "type": "boolean", "description": "If enabled, only fetches the most recent post for each profile/company. Useful for checking if there are new posts before running a full scrape.", "default": false }, "includeSharedPosts": { "title": "Include Quote Posts", "type": "boolean", "description": "Include posts that someone shared and added their own text on top. For example, when a user reposts an article and writes their opinion about it. Disable this to only get original posts.", "default": true }, "includeReposts": { "title": "Include Simple Reposts", "type": "boolean", "description": "Include posts that someone simply reposted as-is, without adding any text of their own. These are the 'repost' button shares with no original commentary. Disable this to only get original posts and quote posts.", "default": true } } }, "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 } } } } } } } } } } ```