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Substack Notes Scraper 🔍

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Substack Notes Scraper 🔍

Substack Notes Scraper 🔍

easyapi/substack-notes-scraper
Try for free

2 hours trial then $19.99/month - No credit card required now

Extract notes and comments from Substack's search results with images, user info, and engagement metrics. Perfect for content analysis, user research, and tracking discussions around specific topics on Substack.

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Maintained by Community

Actor Metrics

  • 1 monthly user

  • No reviews yet

  • No bookmarks yet

  • >99% runs succeeded

  • Created in Feb 2025

  • Modified 8 days ago

You can access the Substack Notes 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("easyapi/substack-notes-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Substack Notes Scraper 🔍 API in Python

The Apify API client for Python is the official library that allows you to use Substack Notes Scraper 🔍 API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include: