# LinkedIn Company Posts Scraper (No Cookies) ✅ Bulk (`crustapi/linkedin-company-posts-scraper`) Actor Scrape the latest posts from any LinkedIn company page. Get post text, links, dates, likes, comment counts and reaction types as JSON or CSV. No cookies, no LinkedIn account, $1.35 per 1,000 posts. - **URL**: https://apify.com/crustapi/linkedin-company-posts-scraper.md - **Developed by:** [CrustAPI](https://apify.com/crustapi) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.35 / 1,000 posts 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? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 ## What is LinkedIn Company Posts Scraper? Pull the latest posts from any LinkedIn company page. Paste company URLs or plain names, click Start, and download the posts as a clean table. - 📰 Most recent posts from any public company page - 🏢 Track a whole list of companies in one run - 📝 Full post text, links, publish dates, and post type - 👍 Engagement on recent posts: like count, comment count, and reaction-type breakdown - 🔑 No LinkedIn account, no cookies, nothing to get restricted - ⚡ Powered by a live API, a few seconds per company page - 📦 Export as JSON, CSV, Excel, HTML, or XML ### What data do I get? | Field | Example | |---|---| | Post text | "Kraken is launching Krak Cards in the US, powered by Stripe Issuing..." | | Date published | 2026-08-20T22:30:53.384Z (ISO 8601) | | Post URL | Direct link to the post | | Post type | post, image, video, article | | Likes | 93 | | Comment count | 6, the count only, never the comment text | | Reaction types | LIKE, EMPATHY, PRAISE | | Image | Image URL when the post carries a picture, blank on text-only posts | | Hashtags | Every hashtag in the post, as a list | | Company, Company URL | Which company page the post came from, on every row, so multi-company runs stay sortable | ### Pricing **$1.35 per 1,000 posts** ($0.00135 per post), plus a small Apify compute fee. You pay per post returned, so inaccessible pages and failed fetches cost nothing. | Run | Actor cost | |---|---| | 100 companies x 10 posts | $1.35 | | 1,000 companies x 10 posts | $13.50 | ### How it works 1. Paste company URLs or names, one per line. Both `https://www.linkedin.com/company/stripe` and `stripe` work. 2. Set **Max posts per company**. **Include comments** double-checks each post's comment count, so it is slower. It returns counts only, never comment text. 3. Click **Start**, then download JSON, CSV, or Excel. Schedule it weekly and webhook new posts into Slack, Sheets, or your CRM. ### Output sample ```json { "company": "stripe", "companyUrl": "https://www.linkedin.com/company/stripe", "text": "Kraken is launching Krak Cards in the US, powered by Stripe Issuing. Spend crypto anywhere Visa is accepted.", "datePublished": "2026-08-20T22:30:53.384Z", "url": "https://www.linkedin.com/posts/stripe_kraken-is-launching-krak-cards-in-the-us-activity-7496332962540589056-vQLE", "postType": "post", "authorName": null, "authorUrl": null, "likes": 93, "comments": 6, "reactionTypes": ["LIKE", "EMPATHY", "PRAISE"], "image": null, "hashtags": [] } ``` Every row carries all 13 fields, and some of them are legitimately empty: - The author fields come back null on company pages, where the page itself is the author. Use `company` and `companyUrl` instead. - `image` is null unless the post carries a picture, and `hashtags` is an empty list when the post uses none. - `likes`, `comments` and `reactionTypes` are filled in for the newest posts on a page. Pull far enough back and the older ones can arrive without them. Sales teams use it to open with what a prospect announced this week. Competitive intel teams track every rival's announcements on a schedule. Investors watch portfolio companies at scale. ### FAQ **Is this legal?** The actor only reads publicly visible posts, the same pages you can open in a logged-out browser. No login, no private data. **Do I need a LinkedIn account?** No. Nothing runs through an account, so there is nothing to restrict. **Do I get the comment text?** No. Public pages show the comment count, which comes back as `comments`, but the comment bodies sit behind LinkedIn's login and we never invent data. **Can I use the API?** Yes, runs and results are fully accessible through the Apify API and all Apify integrations (Zapier, Make, Google Sheets, webhooks). ### More from CrustAPI | Actor | What it does | |---|---| | LinkedIn Profile Posts Scraper | Posts from any person's profile | | LinkedIn Company Scraper | Size, industry, HQ, employee count, numeric IDs | | LinkedIn Jobs Scraper | Every job listing for any title and city | | LinkedIn Profile Scraper + Email Finder | Public profiles plus verified work emails | | Google Maps Scraper | Every business in any area | Need volume beyond Apify, like monitoring millions of pages? See [crustapi.com/wholesale](https://crustapi.com/wholesale). ### Support and feedback We ship improvements weekly, and user reports drive the roadmap. Something broken or missing? - Open an issue on this actor's **Issues** tab in Apify Console - Or email us at *** *This actor is an independent tool built by CrustAPI. It is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn is a registered trademark of LinkedIn Corporation, and all other trademarks belong to their owners.* # Actor input Schema ## `companies` (type: `array`): LinkedIn company URLs or plain company names. Both work: `https://www.linkedin.com/company/stripe` or just `stripe`. ## `maxPostsPerCompany` (type: `integer`): Cap how many recent posts to pull from each company page. ## `includeComments` (type: `boolean`): Double-check the comment count on each post. Slower, same price per post, and it returns counts only, never comment text. ## Actor input object example ```json { "companies": [ "https://www.linkedin.com/company/stripe", "https://www.linkedin.com/company/openai" ], "maxPostsPerCompany": 10, "includeComments": false } ``` # Actor output Schema ## `results` (type: `string`): One row per post: text, link, date published, likes, comment count and reaction types. # 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 = { "companies": [ "https://www.linkedin.com/company/stripe", "https://www.linkedin.com/company/openai" ] }; // Run the Actor and wait for it to finish const run = await client.actor("crustapi/linkedin-company-posts-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 = { "companies": [ "https://www.linkedin.com/company/stripe", "https://www.linkedin.com/company/openai", ] } # Run the Actor and wait for it to finish run = client.actor("crustapi/linkedin-company-posts-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 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) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "companies": [ "https://www.linkedin.com/company/stripe", "https://www.linkedin.com/company/openai" ] }' | apify call crustapi/linkedin-company-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,crustapi/linkedin-company-posts-scraper" } } } ``` 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/bmAv4nsgxabSapUfS/builds/LbN2cUvk2o4WPknzl/openapi.json