LinkedIn Post Scraper

hipersoft/linkedin-post-scraper

Scrape public LinkedIn posts by URL: author, post text, date, likes, comment count, top comments and image. Just pass post URLs. Great for social listening, engagement tracking and content research. One row per post as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

129

Per post scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Extract public LinkedIn post data with the LinkedIn Post Scraper. Pass a list of post URLs and export each one's author, full text, publish date, likes, comment count, top comments and image — one clean row per post as JSON, CSV or Excel.

Built for social listening, engagement tracking, content research, competitor monitoring and marketing analytics, it turns LinkedIn post links into structured data.

What it does

📝 Full post content — the complete post text and any headline.
👤 Author — who posted it, with their LinkedIn URL.
❤️ Engagement — like count, comment count and shares where available.
💬 Top comments — the leading comments with their authors.
🖼️ Media — the post's image where present.
📅 Date — when the post was published.
📤 Export anywhere — JSON, CSV or Excel, or straight into a sheet or dashboard.

Example output

{
  "author": "Stripe",
  "publishedAt": "2026-09-15T17:14:19.208Z",
  "text": "New Stripe data shows fraudulent actors disproportionately targeting AI companies...",
  "likes": 121,
  "comments": 21,
  "topComments": [
    { "author": "LespriCore", "text": "This is such a good example of fraud just moving somewhere else..." }
  ],
  "url": "https://www.linkedin.com/posts/stripe_...-activity-..."
}

How to use it

Add a list of post URLs.
Set Max posts if you want a cap.
Run, and download the results as JSON, CSV or Excel.

Input fields

Field	Description
Post URLs	LinkedIn post URLs to scrape.
Max posts	Maximum posts to process (0 = no limit).

Output fields

url, found, author, authorUrl, publishedAt, text, headline, likes, comments, shares, imageUrl, topComments.

Popular use cases

Social listening — track how posts on a topic or brand perform.
Engagement tracking — monitor likes and comments over a set of posts.
Content research — study high-performing posts and their comments.
Competitor monitoring — watch what competitors post and how it lands.
Marketing analytics — build a dataset of posts and engagement.

FAQ

Do I need an account or key? No. Add post URLs and run — only public post data is collected.

What data is returned? Public post fields: author, full text, date, likes, comment count, top comments and image.

Where do I get post URLs? Copy the post's share link from LinkedIn — it looks like https://www.linkedin.com/posts/...-activity-....

Can I export to Excel or Google Sheets? Yes — results download as JSON, CSV or Excel and integrate with Sheets and dashboards.

Structured public LinkedIn post data — author, text, likes, comments and top replies — clean and export-ready for social listening and analytics.

Input

Field	Type	Description
`postUrls` Post URLs	array	LinkedIn post URLs to scrape — e.g. 'https://www.linkedin.com/posts/...-activity-...'. Each is looked up individually.
`maxItems` Max posts	integer	Maximum number of posts to process (0 = no limit). Default: `0`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~linkedin-post-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "postUrls": []
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/linkedin-post-scraper").call(run_input={
    "postUrls": []
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/linkedin-post-scraper').call({
  "postUrls": []
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Post scraped Charged for each LinkedIn post returned.	$0.003	$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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