Substack Scraper – Posts, Comments, Publications & Authors
Pricing
from $3.50 / 1,000 results
Scrape Substack newsletters without logging in: posts with full HTML and plain text, likes and restacks, flattened comment threads, paywall flags, category leaderboards and author profiles as clean typed rows.
You can access the Substack Scraper – Posts, Comments, Publications & Authors 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 = {9 "publicationUrls": ["https://www.astralcodexten.com"],10 "categories": ["technology"],11 "maxPostsPerPublication": 20,12 "maxPublicationsPerCategory": 25,13}14
15# Run the Actor and wait for it to finish16run = client.actor("teodor_banea/substack-scraper").call(run_input=run_input)17
18# Fetch and print Actor results from the run's dataset (if there are any)19print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")20for item in client.dataset(run.default_dataset_id).iterate_items():21 print(item)22
23# 📚 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, Comments, Publications & Authors API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: