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Substack Podcast Episodes — Build a Show Archive

Substack publications ship podcasts as posts, so this run returns 20 recent items each from Ground Truths (Eric Topol) and The Pragmatic Engineer — 40 rows, of which roughly half carry the type 'podcast'. Filter rows on the type field to isolate the episode list, then use title, subtitle, author, canonical URL, publish date, cover image, audience and engagement counts as episode metadata. It is a

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Substack Scraper — Newsletter Posts, Engagement & Authors
Substack Scraper — Newsletter Posts, Engagement & Authorspepeschuster/substack-scraper
Publication
Title
Author
Post date
+6 fields
Text
Number
Boolean
List
Object

Input

Publications (up to 20):erictopol+1
Sort order:new
Max posts per publication:20

Output fields

Publication
Title
Author
Post date
Audience
Likes
Comment count
Restacks
Wordcount
Url

How it works

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The Substack Scraper — Newsletter Posts, Engagement & Authors Actor is ready to run with the inputs already set for "Substack Podcast Episodes — Build a Show Archive". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Substack Podcast Episodes — Build a Show Archive" task

The Substack Scraper — Newsletter Posts, Engagement & Authors Actor will start running based on the input automatically. You can also change all the input fields, like publications (up to 20), sort order, and more, to match your specific use case.

Receive the "Substack Podcast Episodes — Build a Show Archive" 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 "Substack Podcast Episodes — Build a Show Archive" task via API.

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