LinkedIn Post Commenters Export

Overview

This app scrapes commenter data from multiple LinkedIn posts at once, including profiles, names, occupations, connection degrees, comment content, likes, and comment dates.

It helps social media managers, content creators, and marketers gain valuable insights into audience engagement and identify key influencers and potential leads.

How to Use

1. Download the app from Octoparse AI app store.

2. Launch the app in your list.

   

   1. Parameter Description

      

      1. PostUrls: Select the Excel file containing the links to the posts you want to collect data from. The post URLs should start from the second row of the first column, with the first row being the header. The post URLs should follow this format: https://www.linkedin.com/posts/****

      2. CommentCountPerPost: Specifies the number of comments (including replies) to collect for each post.

      3. ExportPath: Select the folder where you’d like to save the scraped data.

      4. Browser: Select the browser where the app will run.

      5. AdsPowerProfileId: If you’re using AdsPower, open a profile first and enter its ID here.

   2. Click "Run application"

3. Output

   Each time the app runs, it generates an Excel file with detailed commenter data, including profile link, name, occupation, LinkedIn connection degree, comment text, like count, comment date, post URL, and whether the comment is from the post author. It also includes the timestamp of data collection, the source author (post creator), and any errors that occurred.

Notes

• Please log into your LinkedIn account in the specified browser beforehand and ensure the browser is in full-screen mode while the app is running.

• Do not use the mouse or keyboard while the app is running to avoid interruptions.

• Please adhere to LinkedIn’s automation rate limits and manage the number of posts you extract daily. It's recommended to start with a small number and gradually increase.

Troubleshooting

Encounter obstacles but don't know how to resolve them when executing the app?

Please contact our support team at [email protected] to find the way out!