Substack Newsletter Scraping: Extract Posts and Subscriber Counts with Python

Substack has become the go-to platform for independent writers, with thousands of newsletters covering tech, politics, culture, and more. Scraping Substack data lets you analyze newsletter trends, track content strategies, and build competitive intelligence dashboards. Here's how to extract Substack posts and subscriber data with Python. Why Scrape Substack? Newsletter intelligence : Track what topics are trending Competitive analysis : Monitor competing newsletters in your niche Content research : Find high-performing post formats and topics Market sizing : Estimate subscriber counts across categories Trend detection : Spot emerging topics before they go mainstream Substack's API Structure Substack provides a semi-public API that makes scraping relatively straightforward: import requests import json import time def get_newsletter_posts ( subdomain , limit = 50 ): """ Fetch posts from a Substack newsletter via their API. """ posts = [] offset = 0 while len ( posts ) < limit : url = f "