Pricing

from $1.70 / 1,000 actor starteds

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Substack Data & API Alternative | Posts, Comments | $0.25 / 1K

Try for free

Substack data without a login or key: full post text, word count, reactions, restacks and comment threads from any Substack-hosted newsletter. Incremental mode returns only new posts. $0.25 per 1,000 posts, $0.12 per 1,000 comments, $0.0017 per run. Paid posts return the free preview only.

Pricing

from $1.70 / 1,000 actor starteds

Rating

0.0

(0)

Developer

Hriday Rungta

Actor stats

Bookmarked

Total users

Monthly active users

2 hours ago

Last modified

Categories

Social media

Lead generation

News

You can access the Substack Data & API Alternative | Posts, Comments | $0.25 / 1K 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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 = { "publications": ["platformer.substack.com"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("hridayrungta/substack-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Substack Data Export: Posts & Comments From Any Newsletter API in Python

The Apify API client for Python is the official library that allows you to use Substack Data & API Alternative | Posts, Comments | $0.25 / 1K API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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