Medium Scraper - Articles by Tag, Author & Publication

Scrape Medium articles by tag, author (@handle) or publication, straight from Medium's public RSS feeds. Get the title, author, publish date, tags, subtitle, full article content and reading time - as clean JSON, CSV or Excel. No login, no API key, no browser.

Why this actor exists (demand): the "Medium scraper" niche draws ~256 monthly users on Apify Store across a fragmented field; the leader holds ~217 with zero reviews. This actor is a clean, reliable RSS-based reader that returns full content and metadata for content monitoring, research, newsletters and RAG / LLM ingestion.

What you can scrape

• By tag - the latest articles for any topic, e.g. artificial-intelligence, python, startup.
• By author - any Medium @handle, e.g. @dhh.
• By publication - any publication, e.g. better-programming.
• By URL - paste any medium.com tag / author / publication URL and it is auto-detected.

Medium serves the 10 most recent articles per feed. Author and publication feeds include the full article body (clean text + HTML, word count, reading time); tag feeds are metadata-only (title, author, tags, date, URL) - that's Medium's RSS design, and the actor documents which fields that affects.

Example input

Latest AI articles by topic:

{ "sourceType": "tag", "sources": ["artificial-intelligence", "machine-learning"], "maxResults": 20 }

Full articles from specific authors:

{ "sourceType": "user", "sources": ["@dhh", "@benthompson"], "includeContent": true }

From a publication, or by URL:

{ "sources": ["better-programming", "https://medium.com/tag/python"] }

You can also import a list of tags / authors / publications / URLs from a pasted block or a linked .txt/.csv/Google Sheet via Import sources from a file.

Output fields

title, url, author, publishedAt, tags, subtitle, content (clean text), contentHtml, wordCount, readingTimeMin, sourceType, source, guid, scrapedAt.

Every run finishes with a clear status message; empty runs never crash and never bill.

Use with AI assistants (MCP)

This actor is available through the Apify MCP server, so assistants like Claude can pull "the latest 20 articles tagged machine-learning" or "@dhh's recent posts" as structured, LLM-ready data.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready - AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 - an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server - no account, no API key.
• Skyfire - agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous content pipeline? This scraper is ready to plug in and pay as it goes.

Pricing

Pay-per-event, tiered by volume: $0.003 per article at the free tier, dropping to $0.00075 at the top tier. You pay only for articles actually returned.

FAQ

Where does the data come from? Medium's own public RSS feeds (medium.com/feed/...). No private API, no login.

Why only 10 articles per source? That is the number Medium publishes in each RSS feed. Add more tags / authors / publications to get more articles per run.

Do tag feeds include the article text? No - Medium omits the body from tag feeds. Use an author or publication source to get full content.

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This is an independent scraper for publicly available RSS data. It is not affiliated with, endorsed by, or sponsored by Medium. "Medium" is a trademark of A Medium Corporation, used here for descriptive purposes only. Use the data in compliance with Medium's terms and applicable law.