Medium Scraper: Articles, Claps & Full Text

Articles from Medium as clean rows: title, subtitle, author and their follower count, publication and its follower count, published and updated dates, claps, responses, reading time and word count, tags, cover image and, if you want it, the article text with headings, lists and code blocks.

Read from any mix of sources:

• Tags (topics) with the feed you choose: recommended, newest, or top this week, month, year or all time
• Keyword search
• Authors by username or profile URL
• Publications by slug, URL or custom domain
• Article URLs

No Medium account, no API key, no proxy. $0.002 per article, no start fee.

What you get per article

• articleId, url, title, subtitle
• authorName, authorUsername, authorUrl, authorFollowers, authorBio
• publicationName, publicationSlug, publicationUrl, publicationFollowers
• publishedAt, updatedAt
• claps, responses, readingTimeMinutes, wordCount, isMembersOnly, tags, imageUrl

With Article text on: text and contentIsPreview.

Example input

The newest Python articles and a keyword search, with text:

{
  "tags": ["python"],
  "tagSort": "new",
  "searchQueries": ["vector database"],
  "includeContent": true
}

Top articles of the month in three topics:

{
  "tags": ["artificial-intelligence", "startup", "productivity"],
  "tagSort": "top_month",
  "maxItemsPerSource": 200
}

Everything an author or publication has published:

{
  "authors": ["https://karpathy.medium.com/"],
  "publications": ["data-science-collective"]
}

Example output

{
  "articleId": "6ed2048c7167",
  "url": "https://diogo-ribeiro-1975.medium.com/game-and-auction-theory-for-data-scientists-6ed2048c7167",
  "title": "Game and Auction Theory for Data Scientists",
  "subtitle": "Part 1 of 6: Payoffs, Best Responses and Nash Equilibrium ...",
  "authorName": "Diogo Ribeiro",
  "authorUsername": "diogo-ribeiro-1975",
  "authorFollowers": 331,
  "publishedAt": "2026-10-11T15:51:01.503Z",
  "claps": 0,
  "responses": 0,
  "readingTimeMinutes": 17.1,
  "wordCount": 4348,
  "isMembersOnly": true,
  "tags": ["game-theory", "data-science", "pricing", "python", "economics"],
  "imageUrl": "https://miro.medium.com/v2/resize:fit:1200/1*AlyaWl7bXsg2jzUHBPH2uw.png",
  "source": "tag python (new)",
  "text": "## Game and Auction Theory for Data Scientists\n\n### Part 1 of 6 ...",
  "contentIsPreview": true
}

Uses

• Content and SEO teams: what performs in your topic, by claps, responses and reading time
• Influencer and author research: writers in a niche with their follower counts and bios
• Trend tracking: the newest articles in a tag on a schedule
• AI and NLP datasets: article text with structure kept (headings, lists, code)
• Brand monitoring: keyword search for your product or company

Pricing

• $0.002 per article
• $0.004 per article with Article text on (charged instead of the $0.002, not on top)
• No start fee. A source with no articles is free.

Notes

• Members-only articles: Medium shows a logged-out reader only their opening paragraphs, so text is a preview and contentIsPreview is true. wordCount and readingTimeMinutes are for the whole article.
• An article that appears in two of your sources is kept once.
• Publications that moved off Medium (for example Towards Data Science in 2025) are no longer on Medium's API.