LinkedIn article and newsletter issue extractor
Created by
Stas Persiianenko
Extract a concrete public LinkedIn issue into structured article text, author, date, images, canonical URL, reactions, and comments.
LinkedIn Newsletter Scraperautomation-lab/linkedin-newsletter-scraper
Type
Title
Author
Published
+7 fieldsTextNumberBooleanListObject
Input
🔗 Newsletter or issue URLs(required)
url:https://www.linkedin.com/pulse/issue-180-comms-careers-community-becomes-official-andrea-donatucci-kxyuc
Extract linked issues:false
Maximum records:1
Output fields
Type
Title
Author
Published
Cadence
Followers
Reactions
Comments
URL
Body
Scraped at
Sign up on Apify01
Create your Apify account to access the LinkedIn Newsletter Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
