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Substack Scraper

Pricing

$24.00/month + usage

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Substack Scraper

Substack Scraper

Developed by

Da Coder

Da Coder

Maintained by Community

A powerful Apify actor that extracts data from Substack newsletters. Collects author profiles, post content, engagement metrics, and publication details. Perfect for content analysis, archiving, and competitive research. Outputs clean, structured data with clickable links and formatted images.

0.0 (0)

Pricing

$24.00/month + usage

1

Total users

1

Monthly users

1

Runs succeeded

>99%

Last modified

4 days ago

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 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 = { "substacks": ["nickcohen"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("dacoder/substack-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("πŸ’Ύ 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# πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start

Substack Scraper API in Python

The 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-client

Other API clients include: