Substack & Medium Scraper: Articles, Markdown, Likes
Pricing
from $6.80 / 1,000 articles
Extract Substack & Medium articles as clean LLM-ready Markdown: title, date, author, likes, comments, tags, full text, RAG chunks. Full Substack archive, Medium authors, publications & tags. No API key, no login. MCP-ready for AI agents. Errors and empty results are free. $8 per 1,000 articles.
You can access the Substack & Medium Scraper: Articles, Markdown, Likes 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 "substackNewsletters": [10 "simonw",11 "www.noahpinion.blog",12 "www.astralcodexten.com",13 ],14 "mediumSources": [15 "@karpathy",16 "@netflixtechblog",17 "@addyosmani",18 ],19 "mediumTags": [],20 "maxArticlesPerSource": 5,21 "tagFilter": [],22}23
24# Run the Actor and wait for it to finish25run = client.actor("actose/substack-medium-feeds").call(run_input=run_input)26
27# Fetch and print Actor results from the run's dataset (if there are any)28print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")29for item in client.dataset(run.default_dataset_id).iterate_items():30 print(item)31
32# 📚 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 & Medium Scraper: Articles, Markdown, Likes API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: