Linkedin Posts Engagers (Likers and Commenters) β No cookies β
Pricing
from $1.10 / 1,000 results
Linkedin Posts Engagers (Likers and Commenters) β No cookies β
Extract Likers and Commenters from LinkedIn Posts β 100% Public Data, No Login or Cookies! Boost your LinkedIn engagement analysis with this powerful tool that scrapes likers and commenters from public LinkedIn posts without using cookies. Perfect for marketers, recruiters, analysts.
Pricing
from $1.10 / 1,000 results
Rating
5.0
(2)
Developer
Actor stats
34
Bookmarked
801
Total users
141
Monthly active users
20 hours
Issues response
18 days ago
Last modified
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LinkedIn Engagement Scraper
π Service Overview
This service extracts likers and commenters from a LinkedIn post, providing valuable insights into the users interacting with the content. It is useful for engagement analysis, audience research, and lead generation.
The service connects to a LinkedIn post and retrieves data from users who liked or commented on it, depending on the selected option.
βοΈ Input Parameters
The service requires the following four parameters:
1οΈβ£ url (string, required)
- The URL of the LinkedIn post to extract data from.
- Example:
"url":"https://www.linkedin.com/feed/update/urn:li:activity:123456789/"
2οΈβ£ start (number, optional, default: 0)
- The index from which the scraper will start extracting likers or commenters.
- Example:
"start":10// Starts from the 10th person in the list
3οΈβ£ iterations (number, optional, default: 5)
- The number of pages to fetch. Each iteration loads additional data.
- Example:
"iterations":3// Fetches 3 pages of interactions
4οΈβ£ type (string, required, values: "likers" or "commenters")
- Defines whether to extract users who liked the post (
"likers") or users who commented ("commenters"). - Example:
"type":"likers"
π How It Works
1οΈβ£ Connects to the LinkedIn post using the provided url. 2οΈβ£ Identifies the engagement section (likes or comments, based on the type parameter). 3οΈβ£ Extracts user information from the selected engagement type. 4οΈβ£ Filters data based on the start index and limits results with iterations. 5οΈβ£ Returns a JSON response, including relevant details like name, job title, and LinkedIn profile link.
π Example Usage
Input
{"url":"https://www.linkedin.com/feed/update/urn:li:activity:123456789/","start":0,"iterations":5,"type":"likers"}
Expected Output
{[{"type":"likers","url_profile":"https://www.linkedin.com/in/ACoAABhlDWUBbpS-HfKBXX3T-GUXeeFhyKf4hug","name":"Robert Kos","subtitle":"obecnie emerytowany oficer sΕuΕΌby mundurowej"},{"type":"likers","url_profile":"https://www.linkedin.com/in/ACoAADMlj0ABSPSUt0v4VJ9cDaY4Jc0xYzW49Qs","name":"Jakub DoΕΔga","subtitle":"Founder @ EduCon | Chairman of the Children and Youth Council to the Ombudsman for Childrenβs Rights in Poland"}]}
π Use Cases
β
Engagement Analysis: Identify the types of users interacting with a post.
β
Lead Generation: Gather potential customer or business contact information.
β
Campaign Monitoring: Measure the impact of LinkedIn posts.
