Linkedin Posts Engagers (Likers and Commenters)
by scraping_solutions
Extract likers and commenters from public LinkedIn posts for lead gen and market research. Uses 100% public data, no login required.
Opens on Apify.com
About Linkedin Posts Engagers (Likers and Commenters)
Need to see who's actually interacting with content in your niche? This actor pulls the list of people who've liked or commented on any public LinkedIn post. It's straightforward: you give it a post URL, and it gives you the engagement data. No cookies or authentication required, since it only works with publicly visible information. I use this when I'm researching a market or looking for potential leads. If there's a popular post in my industry, I can quickly get a list of everyone who engaged with it. These are warm leads—they've already shown interest in a relevant topic. For recruiters, it's a goldmine for finding candidates who are active and knowledgeable in specific fields. Analysts can track engagement trends or identify key influencers around certain discussions. The data comes back clean and structured, ready to export. It saves you the impossible manual task of scrolling and clicking through hundreds of profiles yourself. Just run it, get your list, and focus on connecting with the right people or analyzing the data.
What does this actor do?
Linkedin Posts Engagers (Likers and Commenters) is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
LinkedIn Engagement Scraper
Overview
This actor extracts users who liked or commented on a specific LinkedIn post. It requires your own LinkedIn session cookies for authentication, operating within your account's context. Use it for engagement analysis, audience research, or lead generation.
Key Features
- Cookie-Based Authentication: Uses your provided LinkedIn cookies (
li_at,JSESSIONID, etc.) to access data. - Targeted Scraping: Fetches either likers or commenters from a single post URL.
- Pagination Control: Uses
startanditerationsparameters to manage data retrieval. - Rate-Limit Management: Includes configurable delays (
delayMs) and concurrency limits (maxConcurrency) to help avoid blocks. - Structured Output: Returns a clean JSON array with profile URLs, names, and headlines.
How to Use
The actor authenticates with your cookies, navigates to the post's engagement section, and extracts the requested user profiles. It handles pagination automatically based on your input settings.
Important: LinkedIn has strict anti-scraping measures. To maintain account safety:
* Use low concurrency (keep maxConcurrency at 1-2).
* Add sufficient delays between requests (e.g., delayMs: 1500-3000).
* Limit run duration and volume (e.g., ~20-40 profiles per hour as a guideline).
* Use a proxy location consistent with your account's normal login region.
* Do not run the actor from multiple locations simultaneously.
Common HTTP errors:
* 401/403/999: Usually indicates expired or invalid cookies.
* 429: Rate limit hit. Increase your delays and reduce iterations.
Input
Configure the actor with the following input parameters.
Required:
* cookie (string): Your LinkedIn session cookies in header format.
* Format: li_at=...; JSESSIONID="..."; bcookie=...; bscookie=...
* How to get them: Use a browser extension like Cookie-Editor to export cookies after logging into LinkedIn.
* url (string): The full URL of the LinkedIn post to scrape.
* type (string): The engagement type to extract. Must be "likes" or "comments".
Optional:
* start (integer): Zero-based index to start reading results from. Default: 0.
* iterations (integer): Number of pagination steps to load (each fetches more results). Typical range 1-15. Default: 5.
* delayMs (integer): Delay in milliseconds between key actions. Default: 2000.
* maxConcurrency (integer): Maximum parallel tasks. Default: 1.
* proxyCountry (string): Country code for proxy (e.g., "US", "ES"). Default: "auto".
Example Input
{
"cookie": "li_at=YOUR_TOKEN; JSESSIONID=\"ajax:123...\"; bcookie=...; bscookie=...",
"url": "https://www.linkedin.com/feed/update/urn:li:activity:123456789/",
"type": "likes",
"start": 0,
"iterations": 5,
"delayMs": 2000,
"maxConcurrency": 1,
"proxyCountry": "auto"
}
Output
The actor outputs an array of objects in JSON format. Each object represents a user profile.
Example Output
[
{
"type": "likes",
"url_profile": "https://www.linkedin.com/in/ACoAAExample",
"name": "Jane Doe",
"subtitle": "Data Analyst @ Company"
},
{
"type": "likes",
"url_profile": "https://www.linkedin.com/in/ACoBBExample",
"name": "John Smith",
"subtitle": "Founder | SaaS | B2B"
}
]
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try Linkedin Posts Engagers (Likers and Commenters) now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- scraping_solutions
- Pricing
- Paid
- Total Runs
- 176
- Active Users
- 17
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