Pricing

from $1.00 / 1,000 post scrapeds

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Substack Scraper – Newsletter Posts, Full Text & Comments

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Substack scraper without login: newsletter posts with full text of free posts (paywalled posts flagged, free preview only), likes, comment counts, tags and cover images, full comment threads, publication info (subscribers, author) and category leaderboards. Works with custom domains.

Pricing

from $1.00 / 1,000 post scrapeds

Rating

0.0

(0)

Developer

Enes Bulanık

Actor stats

Bookmarked

Total users

Monthly active users

10 hours ago

Last modified

Categories

Social media

News

You can access the Substack Scraper – Newsletter Posts, Full Text & Comments 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 = {
9    "mode": "posts",
10    "publications": [
11        "astralcodexten",
12        "https://www.lennysnewsletter.com",
13    ],
14    "maxPostsPerPublication": 5,
15    "maxItems": 20,
16    "proxyConfiguration": { "useApifyProxy": False },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("openharvest/substack-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
24for item in client.dataset(run.default_dataset_id).iterate_items():
25    print(item)
26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Substack Scraper – Posts, Full Text & Comments API in Python

The Apify API client for Python is the official library that allows you to use Substack Scraper – Newsletter Posts, Full Text & Comments API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Substack Scraper – Newsletter Posts, Full Text & Comments API in JavaScript

Substack Scraper – Newsletter Posts, Full Text & Comments API through CLI

Substack Scraper – Newsletter Posts, Full Text & Comments OpenAPI definition

Substack Scraper – Newsletter Posts, Full Text & Comments API

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