Substack Scraper (Posts, Full Text, Comments)
Pricing
Pay per usage
Scrape any Substack newsletter: posts with full text as Markdown, likes, comments, restacks, authors and dates, plus comments. Works with custom domains. Great for research, monitoring and AI datasets.
You can access the Substack Scraper (Posts, Full Text, Comments) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "publications": ["https://www.lennysnewsletter.com"] }9
10# Run the Actor and wait for it to finish11run = client.actor("scraper-forge/substack-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Substack Scraper (Posts, Full Text, Comments) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: