# PRO Posts LinkedIn Scraper (`dendelabs/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/dendelabs/linkedin-posts-scraper-pro.md - **Developed by:** [Dende Labs API](https://apify.com/dendelabs) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 4 total users, 3 monthly users, 91.3% runs succeeded, 2 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 ## ๐Ÿ“ LinkedIn Profile & Company Posts Scraper Pro Scrape all posts from LinkedIn profiles and company pages โ€” including full text, images, videos, articles, and engagement stats (likes, comments, shares, reaction breakdown). **No LinkedIn account or cookies required.** > ๐Ÿ’ก **For other LinkedIn tools by Dende Labs**, check: https://apify.com/dendelabs --- ### โœจ Key Features | Feature | Description | |---------|-------------| | ๐Ÿ”„ **Auto-pagination** | One run extracts ALL posts. No manual page management. | | ๐Ÿ‘ค **Profiles & Companies** | Scrape posts from personal profiles and company pages in one run. | | ๐Ÿ“ **Full content** | Complete post text, images, videos, shared articles, and links. | | ๐Ÿ“Š **Engagement stats** | Likes, comments, shares, plus reaction breakdown by type. | | ๐Ÿ” **Repost detection** | Identifies reposts and includes original author info. | | โฐ **Time filters** | Only get posts from the last 24h, week, or month. | | ๐ŸŽฌ **Content type filters** | Filter by videos, images, documents, or job posts. | | ๐Ÿ“ฆ **Batch processing** | Multiple profiles and companies in a single run. | | ๐Ÿ” **No cookies needed** | No risk of account restrictions or bans. | --- ### ๐Ÿ“ฅ Input #### Basic Usage โ€” Profile Posts ```json { "profiles": [ "https://www.linkedin.com/in/satyanadella/" ] } ```` #### Basic Usage โ€” Company Posts ```json { "companies": [ "https://www.linkedin.com/company/microsoft/" ] } ``` #### All Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `profiles` | string\[] | No\* | `[]` | LinkedIn profile URLs | | `companies` | string\[] | No\* | `[]` | LinkedIn company page URLs | | `maxPosts` | integer | No | `0` | Max posts per source. `0` = unlimited | | `postedLimit` | string | No | `none` | Time filter: `24h`, `week`, `month`, or `none` | | `contentType` | string | No | `all` | Content filter: `videos`, `images`, `documents`, `jobs`, or `all` | | `sortBy` | string | No | `date` | Sort by `date` (most recent) or `relevance` | | `latestPostOnly` | boolean | No | `false` | Only fetch the most recent post per source. Useful for checking if new posts exist before a full scrape. | > \*At least one profile or company URL is required. *** ### ๐Ÿ“ค Output #### Post Example ```json { "author_name": "Satya Nadella", "content": "Today at Microsoft Build, we showed you how AI agents are transforming every layer of the application stack...", "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7302346926123798528/", "posted_at": "2026-03-15T14:30:00.000Z", "posted_ago": "2 weeks ago", "is_repost": false, "images": [ "https://media.licdn.com/dms/image/v2/..." ], "video_url": null, "article": null, "engagement": { "total_reactions": 15234, "comments": 892, "shares": 1205, "reactions": [ { "type": "LIKE", "count": 10000 }, { "type": "PRAISE", "count": 3000 }, { "type": "EMPATHY", "count": 1500 }, { "type": "APPRECIATION", "count": 500 }, { "type": "INTEREST", "count": 234 } ] }, "author": { "name": "Satya Nadella", "username": "satyanadella", "headline": "Chairman and CEO at Microsoft", "linkedinUrl": "https://www.linkedin.com/in/satyanadella/", "avatar": "https://media.licdn.com/dms/image/v2/..." }, "reposted_by": null, "_metadata": { "post_id": "urn:li:activity:7302346926123798528", "extracted_at": "2026-03-30T12:00:00.000Z", "source_url": "https://www.linkedin.com/in/satyanadella/" } } ``` #### Post with Article When a post shares an external article: ```json { "author_name": "Bill Gates", "content": "This is a great read on the future of energy...", "article": { "title": "The Future of Clean Energy", "link": "https://example.com/article", "description": "How new technologies are making clean energy cheaper than ever." }, "images": [], "video_url": null } ``` #### Repost Example When someone reposts another person's content: ```json { "author_name": "Original Author", "content": "Original post content...", "is_repost": true, "reposted_by": { "name": "Person Who Reposted", "linkedinUrl": "https://www.linkedin.com/in/reposter/" } } ``` #### Output Fields Reference | Field | Type | Description | |-------|------|-------------| | `author_name` | string | Name of the post author | | `content` | string | Full text content of the post | | `post_url` | string | Direct link to the post on LinkedIn | | `posted_at` | string | ISO timestamp of when the post was published | | `posted_ago` | string | Human-readable time since posting (e.g., "2 weeks ago") | | `is_repost` | boolean | `true` if this is a repost/share of another post | | `images` | string\[] | Array of image URLs attached to the post | | `video_url` | string | null | Video URL if the post contains a video | | `article` | object | null | Shared article details (title, link, description) | | `engagement.total_reactions` | integer | Total number of reactions (all types combined) | | `engagement.comments` | integer | Total number of comments | | `engagement.shares` | integer | Total number of shares/reposts | | `engagement.reactions` | array | Breakdown by reaction type with counts | | `author.name` | string | Author's full name | | `author.username` | string | null | Author's LinkedIn username (e.g., "satyanadella") | | `author.headline` | string | Author's LinkedIn headline | | `author.linkedinUrl` | string | Author's LinkedIn profile URL (with friendly slug) | | `author.avatar` | string | null | Author's profile photo URL | | `reposted_by` | object | null | Who reposted (name + LinkedIn URL), if applicable | | `_metadata.post_id` | string | LinkedIn activity URN | | `_metadata.extracted_at` | string | ISO timestamp of extraction | | `_metadata.source_url` | string | The profile/company URL you provided as input | *** ### ๐Ÿ“Œ Examples #### Example 1: Get all posts from a profile ```json { "profiles": ["https://www.linkedin.com/in/satyanadella/"] } ``` #### Example 2: Get posts from multiple profiles and companies ```json { "profiles": [ "https://www.linkedin.com/in/satyanadella/", "https://www.linkedin.com/in/billgates/" ], "companies": [ "https://www.linkedin.com/company/microsoft/", "https://www.linkedin.com/company/google/" ] } ``` #### Example 3: Only posts from the last week ```json { "profiles": ["https://www.linkedin.com/in/satyanadella/"], "postedLimit": "week" } ``` #### Example 4: Only video posts ```json { "profiles": ["https://www.linkedin.com/in/satyanadella/"], "contentType": "videos" } ``` #### Example 5: Limit to 50 most recent posts ```json { "profiles": ["https://www.linkedin.com/in/satyanadella/"], "maxPosts": 50, "sortBy": "date" } ``` #### Example 6: Company posts from the last month ```json { "companies": ["https://www.linkedin.com/company/openai/"], "postedLimit": "month" } ``` #### Example 7: Check latest post before full scrape Use `latestPostOnly` to quickly check if a profile has posted recently โ€” without scraping all posts. Makes just one API call per source. ```json { "profiles": ["https://www.linkedin.com/in/satyanadella/"], "latestPostOnly": true } ``` Output: ```json { "source_url": "https://www.linkedin.com/in/satyanadella/", "latest_post_id": "7443616640333803520", "latest_post_url": "https://www.linkedin.com/posts/...", "latest_post_date": "2026-03-28T11:15:02.765Z", "latest_post_ago": "3 days ago", "latest_post_likes": 32, "latest_post_comments": 10, "extracted_at": "2026-03-31T12:00:00.000Z" } ``` > ๐Ÿ’ก Use this to monitor profiles for new activity. Compare `latest_post_date` with your last full scrape to decide if a new run is needed. *** ### ๐Ÿค– Integration with AI Agents This actor is optimized for use with AI agents and LLMs via the Apify MCP server. #### Output Schema Each item in the dataset represents one LinkedIn post. Key fields for agent consumption: - `author_name` โ€” Who wrote the post - `content` โ€” Full post text for analysis - `likes`, `comments`, `shares` โ€” Engagement metrics - `engagement.reactions` โ€” Detailed reaction breakdown - `posted_at` โ€” For temporal analysis - `post_url` โ€” Direct link back to LinkedIn #### Example Agent Prompts > "Get all posts from Satya Nadella's profile in the last month and summarize the main topics he discussed." > "Scrape posts from Microsoft and Google's company pages and compare their engagement rates." > "Find all video posts from this influencer's profile and rank them by total engagement." *** ### ๐ŸŽฏ Use Cases - **๐Ÿ“ˆ Content analysis** โ€” Understand what topics and formats drive the most engagement - **๐Ÿ”Ž Competitive intelligence** โ€” Monitor competitor posting activity, frequency, and engagement - **๐Ÿ‘ฅ Influencer research** โ€” Analyze posting patterns of thought leaders in your industry - **๐Ÿ’ผ Social selling** โ€” Track prospect activity to find timely conversation starters - **๐Ÿ“Š Benchmarking** โ€” Compare engagement metrics across profiles and companies - **๐Ÿ—‚๏ธ Content archival** โ€” Back up posts with full text, media, and engagement data *** ### โš ๏ธ Disclaimer This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedInยฎ is a registered trademark of LinkedIn Corporation. All trademarks are property of their respective owners. # 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. ## `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. ## Actor input object example ```json { "profiles": [], "companies": [], "maxPosts": 0, "postedLimit": "none", "contentType": "all", "sortBy": "date", "latestPostOnly": false } ``` # 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("dendelabs/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(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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("dendelabs/linkedin-posts-scraper-pro").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call dendelabs/linkedin-posts-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dendelabs/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": "Lxc2459tK6m7pbjKe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dendelabs~linkedin-posts-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dendelabs-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/dendelabs~linkedin-posts-scraper-pro/runs": { "post": { "operationId": "runs-sync-dendelabs-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/dendelabs~linkedin-posts-scraper-pro/run-sync": { "post": { "operationId": "run-sync-dendelabs-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" }, "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 } } }, "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 } } } } } } } } } } ```