LinkedIn Posts Scraper — Posts, Search & Comments

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, LinkedIn Profile Scraper, LinkedIn Company, Reddit Scraper, or browse our full catalog of 118+ dedicated scrapers.

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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 (Make, Zapier, n8n, Google Sheets), REST API endpoints, or the Apify MCP Server.

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.

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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)

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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: Benchmark LinkedIn Posts offerings, pricing strategies, and market share across regions.
• Lead Generation & CRM Enrichment: Build targeted prospect lists and sync verified records straight into HubSpot, Salesforce, or Clay.
• AI Agents & RAG Pipelines via MCP: Connect live LinkedIn Posts data directly to Claude Desktop, Cursor, or LangChain agents.

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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 using your email (includes $5.00 in free monthly credits).
2. Open LinkedIn Posts Scraper and click on the Input tab — 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.

For more technical details on every parameter, check out the Input Schema tab or read the Apify Platform Documentation.

🔗 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.

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⬇️ 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.

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)

{
  "searchQueries": [
    "artificial intelligence"
  ],
  "maxPosts": 30
}

Example 2: Filtered & Batch Extraction

{
  "searchQueries": [
    "artificial intelligence"
  ],
  "postUrls": [
    "https://www.linkedin.com/posts/"
  ],
  "maxPosts": 60
}

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⬆️ 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

{
  "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

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🔗 Scrape any data you need with dedicated scrapers

Combine LinkedIn Posts Scraper with our other dedicated scrapers from @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	B2B Leads & Salaries
LinkedIn Profile Scraper	B2B Leads & Emails
LinkedIn Company	B2B Data & Tech Stack
Reddit Scraper	Posts, Comments & Subreddits
Google Autocomplete & SEO Scraper	Search Ideas
Hacker News Scraper	Stories, Comments & News

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⚠️ 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.

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❓ 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 and the Apify Pricing page.

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, including Make, Zapier, n8n, Slack, Airbyte, Google Sheets, Google Drive, and 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 for Python or the apify-client NPM package for Node.js, or check the Apify API Reference:

Python (apify-client)

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)

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, or go to the MCP tab:

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 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) 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.

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 in the Apify Console.