LinkedIn Profile Posts Scraper [No Cookies]

Scrape LinkedIn posts data for any profile — including post content, full engagement metrics, media attachments, mentioned entities, and computed enrichment fields not available in other actors.

💰 Pricing

$3.00 / 1,000 results

This Actor uses Pay-Per-Event pricing. You only pay for what you get:

Event	Price
Post scraped	$0.003
Profile processed	$0.01

Scraping 100 posts from 1 profile costs $0.31. The maxDatasetItems parameter provides a hard cost ceiling.

✨ Key Features

• No account needed — No cookies, no login, no risk to your LinkedIn account
• Automatic pagination — Set how many posts you want, the actor handles the rest
• 55 enriched fields per post — More data than any other LinkedIn posts actor:
  • Total engagement pre-calculated (reactions + comments + reposts)
  • Content category classified automatically (text, image, video, article, document, carousel, poll)
  • Hashtags extracted and counted
  • Mentioned companies and profiles as structured objects
  • Individual reaction breakdowns (like, love, celebrate, support, insight, funny, curious)
  • ISO-8601 dates derived from timestamps for clean sorting
  • Word and character counts for content analysis
• Multiple profiles per run — Scrape one or hundreds of profiles in a single run
• Cost control — Hard cap on dataset items to prevent runaway costs

📖 Simple Usage

Simply provide one or more LinkedIn profile usernames or URLs. The username is the last part of a LinkedIn profile URL (e.g., satyanadella from linkedin.com/in/satyanadella).

Set maxPostsPerProfile to control how many posts you want per profile. The actor automatically paginates — no manual token handling needed.

📊 Output Structure

Each post in the dataset contains 55 fields:

{
  "activity_urn": "7470793400858984449",
  "share_urn": "7470793399273537536",
  "full_urn": "urn:li:activity:7470793400858984449",
  "post_url": "https://www.linkedin.com/posts/adamselipsky_achieving-success-with-ai-the-official",
  "post_type": "repost",
  "is_repost": true,

  "text": "My conversations with customers today are less about whether to adopt AI...",
  "content_category": "article",
  "word_count": 157,
  "char_count": 990,
  "hashtags": ["AI", "CloudComputing"],
  "hashtag_count": 2,

  "media_type": "image",
  "media_url": "https://media.licdn.com/dms/image/...",
  "media_thumbnail": "https://media.licdn.com/dms/image/...",

  "has_article": true,
  "article_url": "https://blogs.microsoft.com/blog/2026/06/16/achieving-success-with-ai/",
  "article_title": "Achieving success with AI - The Official Microsoft Blog",
  "article_subtitle": "blogs.microsoft.com",

  "has_document": false,
  "document_title": "",
  "document_page_count": null,

  "author_name": "Adam Selipsky",
  "author_headline": "CEO of Helix Digital Infrastructure. Former CEO at Amazon Web Services.",
  "author_username": "adamselipsky",
  "author_profile_url": "https://www.linkedin.com/in/adamselipsky",
  "author_profile_picture": "https://media.licdn.com/dms/image/...",

  "total_reactions": 2173,
  "reaction_like": 1882,
  "reaction_love": 44,
  "reaction_celebrate": 204,
  "reaction_support": 12,
  "reaction_insight": 30,
  "reaction_funny": 1,
  "reaction_curious": 0,
  "num_comments": 187,
  "num_reposts": 55,
  "total_engagement": 2415,

  "mentioned_companies": [
    {
      "name": "Amazon Web Services (AWS)",
      "urn": "https://www.linkedin.com/company/amazon-web-services/"
    }
  ],
  "mentioned_profiles": [],

  "posted_date": "2026-06-11 11:05:47",
  "posted_relative": "1w",
  "posted_timestamp": 1781175947394,
  "posted_date_iso": "2026-06-11T11:05:47.394000+00:00",

  "profile_username": "adamselipsky",
  "scraped_at": "2026-06-17T15:30:00.000000+00:00"
}

Dataset Views

Three pre-built views for quick analysis in the Apify Console:

• Overview — Profile, author, date, text, category, URL
• Engagement Metrics — All reaction types, comments, reposts, totals
• Content Analysis — Category, word count, hashtags, mentions, media type

🔧 Input

Field	Type	Required	Default	Description
usernames	Array	Yes	—	LinkedIn usernames, member IDs, or profile URLs (e.g., ["satyanadella", "williamhgates"])
maxPostsPerProfile	Integer	No	100	Max posts to scrape per profile (1–2,000)
maxDatasetItems	Integer	No	10,000	Hard cap on total dataset items across all profiles
maxRetries	Integer	No	3	Retry attempts for failed requests

Input example

{
  "usernames": ["satyanadella", "williamhgates"],
  "maxPostsPerProfile": 100,
  "maxDatasetItems": 10000
}

🔌 API

You can run this Actor programmatically using the Apify API.

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_API_TOKEN>" });

const run = await client.actor("YOUR_ACTOR_ID").call({
  usernames: ["satyanadella"],
  maxPostsPerProfile: 100,
});

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

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("YOUR_ACTOR_ID").call(run_input={
    "usernames": ["satyanadella"],
    "maxPostsPerProfile": 100
})

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

CLI

$echo '{"usernames": ["satyanadella"], "maxPostsPerProfile": 100}' | apify call YOUR_ACTOR_ID --silent --output-dataset

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Note: This Actor is an independent tool for extracting publicly available social media post data. It is not affiliated with or endorsed by any social media platform.