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Find a Substack newsletter's most-liked posts

Lists every Astral Codex Ten post published this year with likes, comments, restacks and word count, without downloading the post bodies. Sort by likes to find a newsletter's best-performing posts.

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Substack Scraper: Posts to Markdown + Podcast Transcripts
Substack Scraper: Posts to Markdown + Podcast Transcriptschimey_forearm/substack-to-markdown
Publication
Title
Author
Published
+7 fields
Text
Number
Boolean
List
Object

Input

Substack publications:astralcodexten
Published after:2026-01-01
Include Markdown body:false
Max posts per publication:200

Output fields

Publication
Title
Author
Published
Audience
Body
Words
Likes
Comments
URL
Error

How it works

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The Substack Scraper: Posts to Markdown + Podcast Transcripts Actor is ready to run with the inputs already set for "Find a Substack newsletter's most-liked posts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Find a Substack newsletter's most-liked posts" task

The Substack Scraper: Posts to Markdown + Podcast Transcripts Actor will start running based on the input automatically. You can also change all the input fields, like substack publications, published after, and more, to match your specific use case.

Receive the "Find a Substack newsletter's most-liked posts" 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, 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 "Find a Substack newsletter's most-liked posts" task via API.

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