LinkedIn Article Extractor

Overview

This app collects data on LinkedIn article activities for specified users, including the article link, title, subtitle, reading duration, author, cover image, publication time, and engagement metrics like comments, reposts, and reactions. The collected data is saved as an Excel file. Whether you're analyzing competitor content, tracking industry trends, or monitoring influencers, this app helps you stay updated on the latest reactions with ease.

Want a fuller view of user engagement?

Explore our complete suite of LinkedIn Activity Extractor tools — including posts, comments, events, newsletters, documents, and reactions — to track how your target users engage beyond just articles.

How to Use

🛠 First time using an Octoparse AI app?

Make sure you've installed the Octoparse AI client and completed the required setup (including browser extension installation) before running this app.

👉 Follow our beginner setup guide

1. Download the app from Octoparse AI app store.

2. (Optional) Customize the workflow.

   This app allows you to customize it to create your own LinkedIn workflow. Simply click the "Edit" button next to the app in your list to open the workflow editor.

   

3. Launch the app in your list.

   

   1. Parameter Description

      

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

      2. profileUrl: Select an Excel file containing up to 80 LinkedIn profile URLs from which you want to extract articles. The URLs should be formatted as https://www.linkedin.com/in/****/ and start from cell A2 in Sheet1 (with the first row as the header).

         

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

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

      5. ArticleCount: Specify the number of article data points to collect for each profile.

   2. Click "Run application"

4. Output

   This app collects the following data for each article activity record: profile URL, article URL, article title, article subtitle, article reading duration, article cover URL, author, post date, reaction count, comment count, and repost count. Each time the app runs, a new Excel file is generated containing the collected data.

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 follow LinkedIn's automation rate limits and be mindful of how many profiles you extract article data from each day.

  • For best results, limit each run to 10 profiles, and no more than 80 profiles per day.

  • If you're pulling 100 article results per profile, try cutting that number in half to stay within safe limits.

  • Start small and increase gradually to reduce the chance of being flagged.

  • Stick with the same IP when possible, and if you run into blocks or connection issues, scale down your extraction volume.

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!