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Turn Substack posts into Markdown for LLMs

Fetches the latest posts from one or more Substack newsletters as clean Markdown, ready to feed into an LLM, a RAG pipeline or a note app. Each item keeps the title, URL, date and author alongside the text.

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Substack Scraper
Substack Scraperdacoder/substack-scraper
Title
URL
Published
Author
+2 fields
Text
Number
Boolean
List
Object

Input

Substack publications, posts or authors:https://www.lennysnewsletter.com
Max posts per publication:20

Output fields

Title
URL
Published
Author
Cut at paywall
Markdown

How it works

Sign up on Apify or log in

The Substack Scraper Actor is ready to run with the inputs already set for "Turn Substack posts into Markdown for LLMs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Turn Substack posts into Markdown for LLMs" task

The Substack Scraper Actor will start running based on the input automatically. You can also change all the input fields, like substack publications, posts or authors and max posts per publication, to match your specific use case.

Receive the "Turn Substack posts into Markdown for LLMs" 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 title, URL, published, 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 "Turn Substack posts into Markdown for LLMs" task via API.

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