# LinkedIn Post Scraper - Text, Reactions, Comments (`gio21/linkedin-post-scraper`) Actor Scrape public LinkedIn posts by URL or profile: full text, reactions, comment count, top comments, author and follower count. No login or cookie required. - **URL**: https://apify.com/gio21/linkedin-post-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** Social media, Lead generation - **Stats:** 6 total users, 5 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 1,000 linkedin post scrapeds 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 Post Scraper - Text, Reactions, Comments Scrape public LinkedIn posts and get clean, structured data: the full post text, reaction count, comment count, top comments, the author's name, profile URL, and follower count. No LinkedIn login or cookie required. Works two ways: paste specific **post URLs**, or give a **profile URL** and the actor discovers and scrapes that person's recent public posts. ### Why this actor Many LinkedIn post scrapers break whenever LinkedIn rewrites its page layout, because they read the visible timeline HTML. This actor reads LinkedIn's structured `SocialMediaPosting` data, which is served for SEO and stays stable across layout changes. That makes it far more resilient. ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | String (required) | `posts` to scrape specific post URLs, or `profile` to scrape a profile's recent posts. | | `postUrls` | Array | Post URLs (mode = `posts`). Example: `https://www.linkedin.com/posts/USERNAME_slug-activity-1234567890-abcd` | | `profileUrls` | Array | Profile URLs (mode = `profile`). Example: `https://www.linkedin.com/in/username/` | | `maxPosts` | Integer | In profile mode, recent posts to scrape per profile. Default 20. | | `maxComments` | Integer | Top comments to include per post. Default 10. Set 0 to skip. | | `maxRetries` | Integer | Retries per request. Default 3. | #### Example input (post URLs) ```json { "mode": "posts", "postUrls": [ "https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61" ], "maxComments": 10 } ```` #### Example input (profile) ```json { "mode": "profile", "profileUrls": ["https://www.linkedin.com/in/williamhgates/"], "maxPosts": 20 } ``` ### Output Each post is one dataset record: ```json { "url": "https://www.linkedin.com/posts/williamhgates_...-activity-7142740845631365120-Mx61", "postId": "7142740845631365120", "headline": "The road ahead reaches a turning point in 2024", "text": "As 2023 comes to a close, I find myself thinking more than ever about...", "datePublished": "2023-12-19T05:02:03.268Z", "authorName": "Bill Gates", "authorUrl": "https://www.linkedin.com/in/williamhgates", "authorFollowers": 40385125, "reactions": 4447, "commentCount": 368, "shares": null, "postImage": "https://media.licdn.com/dms/image/...", "comments": [ { "text": "Great read.", "authorName": "Jane Doe", "datePublished": "2023-12-19T05:31:28.875Z", "likes": 9 } ], "scrapedAt": "2026-06-04T12:00:00.000Z" } ``` ### How to get a post URL Open any LinkedIn post, click the three dots in the top-right of the post, and choose **Copy link to post**. Paste that into `postUrls`. ### Pricing Pay per result. You are charged for each post record returned. ### Free Apify users Free users receive one mock sample record so they can preview the output shape. Real scraping requires a paid Apify plan, because the actor uses a paid unblocking proxy upstream. ### Notes and limits - Only **public** posts are accessible. Private posts, or posts from accounts that hide activity, cannot be scraped. - Comment extraction returns the top comments LinkedIn renders publicly (typically up to 10), not the entire comment thread. - This actor does not require, ask for, or store your LinkedIn credentials. If this actor helped you, please leave a review on the Apify Store. # Actor input Schema ## `mode` (type: `string`): posts = scrape specific post URLs. profile = discover and scrape recent public posts from a profile. ## `postUrls` (type: `array`): LinkedIn post URLs (mode = posts). Format: https://www.linkedin.com/posts/USERNAME\_slug-activity-1234567890-abcd ## `profileUrls` (type: `array`): LinkedIn profile URLs (mode = profile). Format: https://www.linkedin.com/in/username/ ## `maxPosts` (type: `integer`): In profile mode, how many recent posts to scrape per profile. ## `maxComments` (type: `integer`): Top comments to include per post (0 to skip comments). ## `maxRetries` (type: `integer`): Retries per request on transient failures. ## Actor input object example ```json { "mode": "posts", "postUrls": [ "https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61" ], "profileUrls": [ "https://www.linkedin.com/in/williamhgates/" ], "maxPosts": 20, "maxComments": 10, "maxRetries": 3 } ``` # Actor output Schema ## `results` (type: `string`): Scraped LinkedIn post records. # 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 = { "postUrls": [ "https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61" ], "profileUrls": [ "https://www.linkedin.com/in/williamhgates/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/linkedin-post-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 = { "postUrls": ["https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61"], "profileUrls": ["https://www.linkedin.com/in/williamhgates/"], } # Run the Actor and wait for it to finish run = client.actor("gio21/linkedin-post-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 '{ "postUrls": [ "https://www.linkedin.com/posts/williamhgates_the-road-ahead-reaches-a-turning-point-in-activity-7142740845631365120-Mx61" ], "profileUrls": [ "https://www.linkedin.com/in/williamhgates/" ] }' | apify call gio21/linkedin-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/linkedin-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Post Scraper - Text, Reactions, Comments", "description": "Scrape public LinkedIn posts by URL or profile: full text, reactions, comment count, top comments, author and follower count. No login or cookie required.", "version": "0.0", "x-build-id": "pgjBHTZNytOFGlYLB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~linkedin-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-linkedin-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~linkedin-post-scraper/runs": { "post": { "operationId": "runs-sync-gio21-linkedin-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~linkedin-post-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-linkedin-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "posts", "profile" ], "type": "string", "description": "posts = scrape specific post URLs. profile = discover and scrape recent public posts from a profile.", "default": "posts" }, "postUrls": { "title": "Post URLs", "uniqueItems": true, "type": "array", "description": "LinkedIn post URLs (mode = posts). Format: https://www.linkedin.com/posts/USERNAME_slug-activity-1234567890-abcd", "items": { "type": "string" } }, "profileUrls": { "title": "Profile URLs", "uniqueItems": true, "type": "array", "description": "LinkedIn profile URLs (mode = profile). Format: https://www.linkedin.com/in/username/", "items": { "type": "string" } }, "maxPosts": { "title": "Max posts per profile", "minimum": 1, "maximum": 100, "type": "integer", "description": "In profile mode, how many recent posts to scrape per profile.", "default": 20 }, "maxComments": { "title": "Max comments per post", "minimum": 0, "maximum": 50, "type": "integer", "description": "Top comments to include per post (0 to skip comments).", "default": 10 }, "maxRetries": { "title": "Max retries", "minimum": 1, "maximum": 6, "type": "integer", "description": "Retries per request on transient failures.", "default": 3 } } }, "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 } } } } } } } } } } ```