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Scrape Substack posts with reader comments

Exports the 5 newest One Useful Thing posts as clean Markdown together with up to 20 reader comments each, with author, date and likes. Good for audience research and sentiment analysis.

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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:oneusefulthing
Include comments:true
Max comments per post:20
Max posts per publication:5

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 "Scrape Substack posts with reader comments". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Scrape Substack posts with reader comments" 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, include comments, and more, to match your specific use case.

Receive the "Scrape Substack posts with reader comments" 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 "Scrape Substack posts with reader comments" task via API.

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