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Build a RAG knowledge base from AI Substack newsletters

Turns two popular AI and ideas newsletters (One Useful Thing and Astral Codex Ten) into clean Markdown posts with metadata, ready to chunk into a vector database for a RAG chatbot.

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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+1
Max posts per publication:20

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 "Build a RAG knowledge base from AI Substack newsletters". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a RAG knowledge base from AI Substack newsletters" 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 and max posts per publication, to match your specific use case.

Receive the "Build a RAG knowledge base from AI Substack newsletters" 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 "Build a RAG knowledge base from AI Substack newsletters" task via API.

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