# LinkedIn Posts Scraper — Posts, Search & Comments (`rbbscrap/linkedin-posts-scraper`) Actor Scrape LinkedIn posts, articles, company feeds, author updates, and comments without cookies or login on 256MB RAM. - **URL**: https://apify.com/rbbscrap/linkedin-posts-scraper.md - **Developed by:** [Hector](https://apify.com/rbbscrap) (community) - **Categories:** Developer tools - **Features:** Limited permissions - **Stats:** 1 total users, 1 monthly users, 90.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $0.25 / 1,000 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/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

LinkedIn Posts Scraper — Posts, Search & Comments Official Logo

## LinkedIn Posts Scraper — Posts, Search & Comments **LinkedIn Posts Scraper** extracts structured LinkedIn Posts records, metadata, metrics, and direct links in real time. Built on a zero-browser HTTP/2 engine running in **256 MB RAM**, it delivers normalized datasets with **zero `null` fields** ready for **CSV, Excel, JSON**, or API pipelines. > **Looking for related scrapers?** Check out [LinkedIn Jobs Scraper](https://apify.com/rbbscrap/linkedin-jobs-scraper), [LinkedIn Profile Scraper](https://apify.com/rbbscrap/linkedin-profile-scraper), [LinkedIn Company](https://apify.com/rbbscrap/linkedin-company-scraper), [Reddit Scraper](https://apify.com/rbbscrap/reddit-scraper), or browse our [full catalog of 118+ dedicated scrapers](https://apify.com/rbbscrap). *** ### What does LinkedIn Posts Scraper do? Scrape LinkedIn posts, articles, company feeds, author updates, and comments without cookies or login on 256MB RAM. Whether you need to monitor LinkedIn Posts at scale, enrich B2B/B2C databases, or feed structured records into analytics and AI workflows, **LinkedIn Posts Scraper** handles pagination, field normalization, and schema validation automatically: - **Bulk Data Extraction:** Collect LinkedIn Posts listings, items, and detailed attributes in batches using keywords, filters, or direct URLs. - **Complete Public Metadata:** Capture identifiers, pricing/engagement metrics, author/vendor details, timestamps, and canonical URLs. - **Multi-Format Export:** Download results in **JSON, CSV, Excel (XLSX), XML, or HTML Table** directly from the Apify Console. - **Ready for Automation & AI:** Connect seamlessly to [Apify Integrations](https://apify.com/integrations) (Make, Zapier, n8n, Google Sheets), [REST API endpoints](https://apify.com/rbbscrap/linkedin-posts-scraper/api), or the [Apify MCP Server](https://apify.com/rbbscrap/linkedin-posts-scraper/api/mcp). #### Beyond the Official LinkedIn Posts API - **No API Keys or Approval Delays:** Start extracting public LinkedIn Posts data immediately without registering developer apps or waiting for quota approvals. - **No Restrictive Rate Quotas:** Bypass strict per-minute API limits and expensive enterprise tiers while capturing the complete public data points displayed on LinkedIn Posts. - **256 MB Zero-Browser Architecture:** Uses native HTTP/2 and TLS session emulation instead of heavy Chromium instances, executing in seconds at a fraction of standard compute costs. *** ### What data can you scrape from LinkedIn Posts? **LinkedIn Posts Scraper** extracts the following data points from LinkedIn Posts:
📝 Search Queries (searchQueries) 🔗 Post URLs (postUrls) 📝 Max Posts (maxPosts)
🔗 Post URL (postUrl) 👤 Author Name (authorName) 👤 Author Headline (authorHeadline)
📝 Post Text (postText) 📅 Published At (publishedAt) 🔗 Media URL (mediaUrl)
📝 Search Query (searchQuery) 📅 Scraped At (scrapedAt)
| Data Category | Extracted Fields & Data Points | | :--- | :--- | | **Identity & Core Identifiers** | `authorName` (Author Name) | | **Metrics, Pricing & Engagement** | `maxPosts` (Max Posts) | | **Details, Attributes & Context** | `searchQueries` (Search Queries), `authorHeadline` (Author Headline), `postText` (Post Text), `searchQuery` (Search Query) | | **Direct Links, Media & Timestamps** | `postUrls` (Post URLs), `postUrl` (Post URL), `publishedAt` (Published At), `mediaUrl` (Media URL), `scrapedAt` (Scraped At) | *** ### Why scrape LinkedIn Posts? (Typical Use Cases & Guides) You can use **LinkedIn Posts Scraper** for a wide range of data and business workflows: - **Competitive & Market Intelligence:** Track real-time listings, rankings, pricing shifts, and activity across LinkedIn Posts without manual copy-pasting. - **B2B Lead Generation & CRM Enrichment:** Extract structured LinkedIn Posts records to enrich pipelines in HubSpot, Salesforce, Clay, Pipedrive, or Airtable. - **Trend Detection & Sentiment Monitoring:** Analyze volume velocity, user ratings, and community feedback on LinkedIn Posts to spot market opportunities early. - **AI Agents, RAG & LLM Knowledge Pipelines:** Feed normalized, zero-null LinkedIn Posts datasets directly into vector databases, autonomous AI agents, and LLM workflows. - **Automated Reporting & Scheduled Monitoring:** Connect LinkedIn Posts Scraper to Make.com, n8n, Zapier, or Google Sheets for hands-free daily data refreshes. - **[Market Research & Competitor Analysis](https://apify.com/use-cases/market-research):** Benchmark LinkedIn Posts offerings, pricing strategies, and market share across regions. - **[Lead Generation & CRM Enrichment](https://blog.apify.com/marketing-leads-scraping-with-apify/):** Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay. - **[AI Agents & RAG Pipelines via MCP](https://blog.apify.com/how-to-use-mcp/):** Connect live LinkedIn Posts data directly to Claude Desktop, Cursor, or LangChain agents. *** ### How to scrape LinkedIn Posts data **LinkedIn Posts Scraper** is designed for a zero-configuration start, even if you have never scraped data before: 1. [Create a free Apify account](https://console.apify.com/sign-up) using your email (includes **$5.00 in free monthly credits**). 2. Open **[LinkedIn Posts Scraper](https://apify.com/rbbscrap/linkedin-posts-scraper)** and click on the **[Input tab](https://apify.com/rbbscrap/linkedin-posts-scraper/input)** — all required fields are already pre-filled with a working example. 3. Enter your search terms, target URLs, or filter criteria (or keep the default pre-filled configuration for an instant 1-Click test). 4. Click the green **"Start"** button and wait a few seconds for the data to be extracted. 5. Download your dataset in **JSON, CSV, Excel (XLSX), or HTML**, or fetch it via the [API tab](https://apify.com/rbbscrap/linkedin-posts-scraper/api). > For more technical details on every parameter, check out the [Input Schema tab](https://apify.com/rbbscrap/linkedin-posts-scraper/input-schema) or read the [Apify Platform Documentation](https://docs.apify.com/platform/actors/running). #### 🔗 How to scrape LinkedIn Posts by Search Term or Direct URL
Scraping by Search Term / Filter 🔑 Enter keywords, categories, or filter parameters just as you would search on LinkedIn Posts. Set the maximum number of items you want to extract and click Start.
Scraping by Direct URL 🔗 Paste one or more direct LinkedIn Posts links (or import a list of URLs from a Google Sheet / CSV) to extract targeted item or profile details in bulk.
*** ### ⬇️ Input Configuration & Examples To start scraping LinkedIn Posts, fill in the visual input form in the Apify Console or pass a JSON payload via the API. Full technical specifications are available on the [Input Schema tab](https://apify.com/rbbscrap/linkedin-posts-scraper/input-schema). #### Input Parameters Reference | Parameter | Type | Default / Prefill | Description | | :--- | :---: | :---: | :--- | | `searchQueries` | `array` | `["artificial intelligence"]` | List of topics, hashtags, or keywords to search LinkedIn posts for (e.g. 'artificial intelligence', 'hiring engineers', 'startup funding'). | | `postUrls` | `array` | — | Direct URLs to LinkedIn posts or updates (e.g. 'https://www.linkedin.com/posts/...'). | | `maxPosts` | `integer` | `30` | Maximum number of posts to extract. | | `proxyConfiguration` | `object` | — | Select Apify Proxy for high-volume automated harvesting. | #### Example 1: Standard Extraction (1-Click Default) ```json { "searchQueries": [ "artificial intelligence" ], "maxPosts": 30 } ``` #### Example 2: Filtered & Batch Extraction ```json { "searchQueries": [ "artificial intelligence" ], "postUrls": [ "https://www.linkedin.com/posts/" ], "maxPosts": 60 } ``` *** ### ⬆️ Output Example (Table View, JSON & Fields Reference) The scraped results are stored in a structured Apify Dataset available in the **Storage** tab. Below is a preview of the dataset in both **Table View** (CSV/Excel format) and **JSON format**. #### Table View (CSV / Excel Dataset Preview) | Search Queries | Post URLs | Max Posts | | :--- | :--- | :--- | | `artificial intelligence` | `https://www.linkedin.com/posts/` | `60` | | `artificial intelligence` | `https://www.linkedin.com/posts/` | `75` | | `artificial intelligence` | `https://www.linkedin.com/posts/` | `49` | #### JSON Output Example ```json { "searchQueries": [ "artificial intelligence" ], "postUrls": [ "https://www.linkedin.com/posts/" ], "maxPosts": 60 } ``` #### Output Fields Reference | Field Name | Type | Description | | :--- | :---: | :--- | | `searchQueries` | `array` | Extracted search queries value. | | `postUrls` | `array` | Extracted post urls value. | | `maxPosts` | `number` | Extracted max posts value. | | `postUrl` | `string` | Canonical URL of the LinkedIn post | | `authorName` | `string` | Name of the post author or company | | `authorHeadline` | `string` | Headline or title of the author | | `postText` | `string` | Full text or summary of the post | | `publishedAt` | `string` | Publication timestamp or relative age | | `mediaUrl` | `string` | Attached image, infographic, or video link | | `searchQuery` | `string` | Search query that located this post | | `scrapedAt` | `string` | ISO timestamp of extraction | *** ### 🔗 Scrape any data you need with dedicated scrapers Combine **LinkedIn Posts Scraper** with our other dedicated scrapers from [@RBBscrap](https://apify.com/rbbscrap) if you want to extract specialized data across platforms:
🔹 LinkedIn Jobs Scraper 🔹 LinkedIn Profile Scraper 🔹 LinkedIn Company
🔹 Reddit Scraper 🔹 Google Autocomplete & SEO Scraper 🔹 Hacker News Scraper
| Scraper | Extracted Data & Primary Use Case | | :--- | :--- | | **[LinkedIn Jobs Scraper](https://apify.com/rbbscrap/linkedin-jobs-scraper)** | B2B Leads & Salaries | | **[LinkedIn Profile Scraper](https://apify.com/rbbscrap/linkedin-profile-scraper)** | B2B Leads & Emails | | **[LinkedIn Company](https://apify.com/rbbscrap/linkedin-company-scraper)** | B2B Data & Tech Stack | | **[Reddit Scraper](https://apify.com/rbbscrap/reddit-scraper)** | Posts, Comments & Subreddits | | **[Google Autocomplete & SEO Scraper](https://apify.com/rbbscrap/google-autocomplete-keyword-scraper)** | Search Ideas | | **[Hacker News Scraper](https://apify.com/rbbscrap/hacker-news-scraper)** | Stories, Comments & News | *** ### ⚠️ Error Items & Resilience Reference **LinkedIn Posts Scraper** is engineered to process multi-query and batch runs resiliently without crashing if a single query or URL fails: | Status / Code | Meaning & Automatic Handling | | :--- | :--- | | `OK` | Record successfully extracted, validated, and normalized with zero `null` fields. | | `DEFAULT_PREFILL_APPLIED` | When an empty input payload `{}` is submitted, the Actor automatically applies its built-in default query so 1-Click runs always succeed. | | `RATE_LIMIT_RETRY` | Transient HTTP `429` / `503` responses trigger automatic retry with exponential backoff and session rotation. | | `INVALID_TARGET_SKIPPED` | Unreachable or malformed target items in a batch are logged with `[WARN]` and skipped without interrupting the run. | *** ### ❓ Frequently Asked Questions (FAQ) #### How much does scraping LinkedIn Posts cost? **LinkedIn Posts Scraper** uses transparent **Pay-Per-Event (`PAY_PER_EVENT`)** pricing set **10x cheaper than the market leader** ($\div 10$): - **Event Rate:** **$0.00025** per *Scraped LinkedIn Posts Scraper Record* (**$0.25 per 1,000 items**). - **🎁 1st Run 100% FREE:** Your very first execution is **100% free** (`$0.00` event charges are applied on your initial run). - **Apify Free Plan ($5.00/month included):** Every Apify account receives **$5.00 in free monthly credits**, which is enough to extract up to **~20,000 items per month for free**. - View full details on the [Pricing tab](https://apify.com/rbbscrap/linkedin-posts-scraper/pricing) and the [Apify Pricing page](https://apify.com/pricing). #### Can I integrate LinkedIn Posts Scraper with Make, Zapier, n8n, or Google Sheets? Yes. **LinkedIn Posts Scraper** can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations), including [Make](https://docs.apify.com/platform/integrations/make), [Zapier](https://docs.apify.com/platform/integrations/zapier), [n8n](https://docs.apify.com/platform/integrations/n8n), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [Google Sheets](https://docs.apify.com/platform/integrations/google-sheets), [Google Drive](https://docs.apify.com/platform/integrations/drive), and [webhooks](https://docs.apify.com/platform/integrations/webhooks). #### Can I use LinkedIn Posts Scraper with the Apify API (Python & Node.js)? Yes. The Apify API gives you programmatic access to run **LinkedIn Posts Scraper**, schedule jobs, and fetch datasets. Use the `apify-client` [PyPI package](https://apify.com/rbbscrap/linkedin-posts-scraper/api/python) for Python or the `apify-client` [NPM package](https://apify.com/rbbscrap/linkedin-posts-scraper/api/javascript) for Node.js, or check the [Apify API Reference](https://docs.apify.com/api/v2): **Python (`apify-client`)** ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_API_TOKEN") run = client.actor("rbbscrap/linkedin-posts-scraper").call(run_input={ "searchQueries": ["artificial intelligence"], "maxPosts": 30 }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` **Node.js (`apify-client`)** ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_APIFY_API_TOKEN' }); const run = await client.actor('rbbscrap/linkedin-posts-scraper').call({ searchQueries: ["artificial intelligence"], maxPosts: 30 }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` #### Can I use LinkedIn Posts Scraper through an MCP Server (Claude Desktop, Cursor, AI Agents)? Yes. With the Apify API, you can use **LinkedIn Posts Scraper** in conjunction with an MCP server to connect directly to **Claude Desktop, Cursor, Windsurf, or LibreChat**. Read the official guide on [how to set up Apify Actors with MCP](https://blog.apify.com/how-to-use-mcp/), or go to the [MCP tab](https://apify.com/rbbscrap/linkedin-posts-scraper/api/mcp): 1. Start a Server-Sent Events (SSE) session to receive a `sessionId`. 2. Send API messages using that `sessionId` to trigger **LinkedIn Posts Scraper** with your input parameters. 3. Receive structured LinkedIn Posts dataset records directly inside your AI agent conversation. #### Do I need residential proxies or login cookies to scrape LinkedIn Posts? No. **LinkedIn Posts Scraper** operates on a zero-browser HTTP/2 protocol engine (256 MB RAM) and works out-of-the-box without requiring login cookies or external proxies for standard workloads. For high-volume enterprise runs, you can optionally use [Apify Proxy](https://docs.apify.com/proxy) in the input configuration. #### Is it legal to scrape data from LinkedIn Posts? Our scrapers are ethical and **do not extract any private user data behind login walls**. They only extract what is shared publicly on the web. However, please keep in mind that personal data is protected by **GDPR ([EU Regulation 2016/679](https://eur-lex.europa.eu/eli/reg/2016/679/oj))** and other regulations worldwide. You should not scrape personal data unless you have a legitimate legal basis. Read more in Apify's guide on the [legality of web scraping](https://blog.apify.com/is-web-scraping-legal/). #### Your feedback & support We are continuously improving the performance of our Actors. If you have any technical feedback for **LinkedIn Posts Scraper**, need a custom feature, or found a bug, please create an issue on the Actor's [Issues tab](https://apify.com/rbbscrap/linkedin-posts-scraper/issues/open) in the Apify Console. # Actor input Schema ## `searchQueries` (type: `array`): List of topics, hashtags, or keywords to search LinkedIn posts for (e.g. 'artificial intelligence', 'hiring engineers', 'startup funding'). ## `postUrls` (type: `array`): Direct URLs to LinkedIn posts or updates (e.g. 'https://www.linkedin.com/posts/...'). ## `maxPosts` (type: `integer`): Maximum number of posts to extract. ## `proxyConfiguration` (type: `object`): Select Apify Proxy for high-volume automated harvesting. ## `maxExecutionTimeSecs` (type: `integer`): Fail-Fast safety ceiling timeout in seconds (15 to 90s). Prevents long-running runs from wasting compute units. ## Actor input object example ```json { "searchQueries": [ "artificial intelligence" ], "maxPosts": 30, "maxExecutionTimeSecs": 75 } ``` # Actor output Schema ## `results` (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 = { "searchQueries": [ "artificial intelligence" ], "maxPosts": 30, "maxExecutionTimeSecs": 75 }; // Run the Actor and wait for it to finish const run = await client.actor("rbbscrap/linkedin-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 = { "searchQueries": ["artificial intelligence"], "maxPosts": 30, "maxExecutionTimeSecs": 75, } # Run the Actor and wait for it to finish run = client.actor("rbbscrap/linkedin-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 '{ "searchQueries": [ "artificial intelligence" ], "maxPosts": 30, "maxExecutionTimeSecs": 75 }' | apify call rbbscrap/linkedin-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,rbbscrap/linkedin-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/FddP91FhmF4UY6KJc/builds/GHlQCfekUeVERet1b/openapi.json