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LinkedIn newsletter scraper and edition monitor

Scrape a public LinkedIn newsletter, discover editions, and extract article text, authors, dates, images, reactions, and comments.

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LinkedIn Newsletter Scraper
LinkedIn Newsletter Scraperautomation-lab/linkedin-newsletter-scraper
Type
Title
Author
Published
+7 fields
Text
Number
Boolean
List
Object

Input

🔗 Newsletter or issue URLs(required)
url:https://www.linkedin.com/newsletters/artificial-intelligence-7059424690619957248
Extract linked issues:true
Maximum records:10
Issues per newsletter:9

Output fields

Type
Title
Author
Published
Cadence
Reactions
Comments
Words
Content SHA-256
URL
Scraped at

How it works

Sign up on Apify or log in

The LinkedIn Newsletter Scraper Actor is ready to run with the inputs already set for "LinkedIn newsletter scraper and edition monitor". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "LinkedIn newsletter scraper and edition monitor" task

The LinkedIn Newsletter Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 newsletter or issue urls, extract linked issues, and more, to match your specific use case.

Receive the "LinkedIn newsletter scraper and edition monitor" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, title, author, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "LinkedIn newsletter scraper and edition monitor" task via API.

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