# Post Data Scraper for LinkedIn | No Cookies (`apimaestro/linkedin-post-detail`) Actor Linkedin Posts Data Scraper: Extract detailed information from LinkedIn profiles including work experience, education history, and location details. - **URL**: https://apify.com/apimaestro/linkedin-post-detail.md - **Developed by:** [API Maestro](https://apify.com/apimaestro) (community) - **Categories:** AI, Lead generation, Social media - **Stats:** 1,788 total users, 463 monthly users, 100.0% runs succeeded, 36 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $5.00 / 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ### ๐Ÿš€ LinkedIn Posts Data Scraper Extract detailed information from LinkedIn posts including content, author details, reactions, comments count, and media information. #### For other LinkedIn actors, check: https://apify.com/apimaestro Each actor is designed to work independently or in combination for advanced use cases. ### ๐Ÿ”ง Simple Usage Provide one or multiple LinkedIn post URLs or post IDs to get complete post details. The post URL is the full LinkedIn post URL (e.g., 'https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu'), or you can provide just the post ID (e.g., '7302346926123798528'). ### โœจ Key Features - No account needed: Don't risk your account security by sharing your cookies and don't get your account restricted or banned! - Post content and creation date - Author information - Engagement statistics (reactions, comments, shares) - Media content (images, videos) - Post type and metadata ### Output Preview ```json { "post": { "id": "7302346926123798528", "url": "https://www.linkedin.com/feed/update/urn:li:activity:7302346926123798528", "created_at": { "timestamp": 1733574820000, "date": "2024-03-15 14:20:20", "relative": "3w" }, "text": "Post content text goes here...", "type": "video" }, "author": { "name": "Author Name", "headline": "Author Headline", "profile_url": "https://www.linkedin.com/in/author-profile", "profile_picture": "https://media.licdn.com/profile-picture-url" }, "media": [ { "type": "video", "duration": 65500, "thumbnail": "https://media.licdn.com/thumbnail-url" } ], "stats": { "total_reactions": 250, "reactions": { "like": 200, "appreciation": 30, "empathy": 10, "interest": 5, "praise": 5, "entertainment": 0 }, "comments": 45, "shares": 12 } } ```
*** **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 ## `post_urls` (type: `array`): List of LinkedIn post identifiers. You can use either: - Full post URLs (e.g., 'https://www.linkedin.com/posts/satyanadella_activity-7302346926123798528') - Post IDs (e.g., '7302346926123798528') - Comma-separated values will be split automatically ## Actor input object example ```json { "post_urls": [ "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu", "7302346926123798528" ] } ``` # 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 = { "post_urls": [ "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu", "7302346926123798528" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apimaestro/linkedin-post-detail").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 = { "post_urls": [ "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu", "7302346926123798528", ] } # Run the Actor and wait for it to finish run = client.actor("apimaestro/linkedin-post-detail").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).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 '{ "post_urls": [ "https://www.linkedin.com/posts/satyanadella_no-one-becomes-a-clinician-to-do-paperwork-activity-7302346926123798528-jitu", "7302346926123798528" ] }' | apify call apimaestro/linkedin-post-detail --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,apimaestro/linkedin-post-detail" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/d0DhjXPjkkwm4W5xK/builds/JTjKRJcVwTkInvjV8/openapi.json