Substack Scraper
Pricing
Pay per event
Scrape Substack newsletters — posts, comments, publication metadata. Full archive depth with no caps. Export to JSON, CSV, Excel, or connect via API.
Pricing
Pay per event
Rating
0.0
(0)
Developer
Stas Persiianenko
Maintained by CommunityActor stats
7
Bookmarked
167
Total users
62
Monthly active users
5 days ago
Last modified
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You can access the Substack Scraper 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 Integrations settings 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 = {9 "urls": ["https://www.lennysnewsletter.com"],10 "maxPostsPerNewsletter": 10,11 "maxCommentsPerPost": 20,12 "startDate": "2024-01-01",13 "endDate": "2026-12-31",14}15
16# Run the Actor and wait for it to finish17run = client.actor("automation-lab/substack-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])21for item in client.dataset(run["defaultDatasetId"]).iterate_items():22 print(item)23
24# 📚 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 API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: