An unofficial Python wrapper around Substack's API.

I developed this package as a lightweight tool to help researchers collect data about Substack newsletters, and to help writers archive their work off-platform. This is not a tool designed for bulk text extraction/web scraping. It supports the following functionality:

• Download full JSON metadata about newsletters by category
• Download full JSON metadata about posts by newsletter
• Download text of individual, publicly-available posts
• List newsletter categories

pip install substack-api

from substack_api import substack_api

List all categories on Substack:

substack_api.list_all_categories()

Get metadata for the first 2 pages of Technology newsletters:

substack_api.get_newsletters_in_category(4, start_page=0, end_page=2)

Get post metadata for the most recent 30 posts from a newsletter:

substack_api.get_newsletter_post_metadata("platformer", start_offset=0, end_offset=30)

Get post contents (HTML only) from one newsletter post:

substack_api.get_post_contents("platformer", "how-a-single-engineer-brought-down", html_only=True)