Substack newsletter to RAG-ready Markdown chunks

Created by

ABM

Actor

Substack & Medium Scraper: Articles, Markdown, Likes

Reads the latest public posts of a Substack newsletter and returns clean Markdown with full text for free posts. Each article also gets a chunks array split on paragraph boundaries, ready for embeddings and vector databases. Paywalled posts are skipped so only complete text is delivered and billed.

Try for free

Substack & Medium Scraper: Articles, Markdown, Likesactose/substack-medium-feeds

Platform

Published

Title

Author

+7 fields

Input

Substack newsletters or authors:simonw

Max articles per source:10

Max articles in total (optional):10

Fetch full text (Substack):true

Skip paywalled / preview-only articles:true

Keep images in Markdown:false

Add RAG chunks:true

Chunk size (characters):2000

Output fields

Platform

Published

Title

Author

Publication

Likes

Comments

Words

Content

URL

Markdown

How it works

Sign up on Apify or log in

The Substack & Medium Scraper: Articles, Markdown, Likes Actor is ready to run with the inputs already set for "Substack newsletter to RAG-ready Markdown chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Substack newsletter to RAG-ready Markdown chunks" task

The Substack & Medium Scraper: Articles, Markdown, Likes Actor will start running based on the input automatically. You can also change all the input fields, like substack newsletters or authors, max articles per source, and more, to match your specific use case.

Receive the "Substack newsletter to RAG-ready Markdown chunks" 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 platform, published, title, 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 newsletter to RAG-ready Markdown chunks" task via API.