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Compare engagement across competing Substack publications

Pull the most read posts from several publications side by side with their like and comment counts, to see which topics travel in a niche. Sorting by top returns the publication's best performing posts rather than its newest ones.

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Substack Newsletter Scraper: Posts, Archive, Publication Data
Substack Newsletter Scraper: Posts, Archive, Publication Datatitian_fluorite/substack-scraper
Publication name
Title
Post URL
Published at
+3 fields
Text
Number
Boolean
List
Object

Input

Substack publications(required):https://www.lennysnewsletter.com+2
Maximum posts per publication:30
Order:top
Include the post body:false

Output fields

Publication name
Title
Post URL
Published at
Likes
Restacks
Comments

How it works

Sign up on Apify or log in

The Substack Newsletter Scraper: Posts, Archive, Publication Data Actor is ready to run with the inputs already set for "Compare engagement across competing Substack publications". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare engagement across competing Substack publications" task

The Substack Newsletter Scraper: Posts, Archive, Publication Data Actor will start running based on the input automatically. You can also change all the input fields, like substack publications, maximum posts per publication, and more, to match your specific use case.

Receive the "Compare engagement across competing Substack publications" 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 publication name, title, post url, 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 "Compare engagement across competing Substack publications" task via API.

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