Substack Scraper - Whole Archives, Comments & Notes
Pricing
from $1.39 / 1,000 results
Export every post of any Substack, not just the newest 480: full text as Markdown, HTML and plain text, reactions, comments with replies, Notes, profiles and publication data with subscriber counts, paid plans and analytics. Custom domains, deep keyword search for posts and Notes. No login.
You can access the Substack Scraper - Whole Archives, Comments & Notes 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 "startUrls": ["https://www.lennysnewsletter.com"],10 "maxItemsPerSource": 50,11 "maxCommentsPerPost": 100,12}13
14# Run the Actor and wait for it to finish15run = client.actor("clearpath/substack-scraper").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")19for item in client.dataset(run.default_dataset_id).iterate_items():20 print(item)21
22# 📚 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 - Whole Archives, Comments & Notes API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: