Medium Scraper: the newest Medium articles by tag, author or publication

Give it Medium tags, authors or publications and get back their newest articles as clean rows: title, author, publication, tags, publish and update dates, reading time, a member-only flag and, if you ask for it, the full text of free stories.

Schedule it daily with Published after set to yesterday and you have a new-article feed for a topic, a competitor's blog or a creator, without opening Medium.

$1.50 per 1,000 articles, platform usage included. No API key, no login.

What you get

One row per article:

Field	Description
articleId, url	The article (tracking parameters removed)
title	Title
summary	The story's snippet, or its first 300 characters when the full text is available
author, authorHandle	Who wrote it (@handle when Medium shows one)
publication, publicationSlug	The publication's name (when you scrape a publication) and its slug or domain
publishedAt, updatedAt	ISO dates
tags	The tags the author gave the story
imageUrl	Lead image
isMemberOnly	true for stories behind Medium's paywall, false for free ones. null for tag results (see limits)
wordCount, readingTimeMinutesApprox	Length and reading time at 238 words per minute, for free stories
fullText	Plain-text article body, only with Include full article text and only for free stories (null otherwise)
source	Which input produced the row, e.g. tag:python or @netflixtechblog
capturedAt	When the row was collected

Example row (real, from a run on 2026-10-16)

{
  "articleId": "d62b03a96d7a",
  "url": "https://netflixtechblog.com/reliable-gpu-compute-for-large-training-inference-jobs-d62b03a96d7a",
  "title": "Reliable GPU compute for large training & inference jobs",
  "summary": "How we detect failing GPUs and network fabric, remediate machines automatically, and let long-running jobs survive hardware loss. Authors: Nick Rutigliano, Argha C, Samartha Chandrashekar Open Netflix",
  "author": "Netflix Technology Blog",
  "authorHandle": "@netflixtechblog",
  "publication": null,
  "publicationSlug": "netflixtechblog.com",
  "publishedAt": "2026-10-14T16:01:04.000Z",
  "updatedAt": "2026-10-15T05:56:37.458Z",
  "tags": ["site-reliability", "gpu", "machine-learning", "cost-efficiency", "artificial-intelligence"],
  "imageUrl": "https://cdn-images-1.medium.com/max/1024/1*d15z8m06XjWnYeauK7iXfQ.png",
  "isMemberOnly": false,
  "wordCount": 3111,
  "readingTimeMinutesApprox": 13,
  "source": "@netflixtechblog",
  "capturedAt": "2026-10-16T00:43:43.550Z"
}

Who uses this

• Content and SEO teams. Watch what competitors and category leaders publish, which tags they use and how long their posts are.
• Newsletter and curation builders. Pull the newest stories under a tag or from a publication on a schedule.
• AI and research teams. Collect free article text by topic for summaries, trend reports or datasets.
• Agencies and recruiters. Track the authors and engineering blogs of the companies you follow.

Input

Field	What it does
Tags / topics	artificial-intelligence, startup, #Data Science, or a medium.com/tag/... link
Authors	@ev or a medium.com/@... profile link
Publications	towards-data-science, https://medium.com/better-programming or a publication's own domain such as https://netflixtechblog.com
Include full article text	Adds fullText for free stories
Published after	Keep only articles from this date on, e.g. 2026-10-01
Max articles per source	1 to 10 (10 is the most Medium lists per source)

Example:

{
  "tags": ["artificial-intelligence", "startup"],
  "authors": ["@netflixtechblog"],
  "publications": ["towards-data-science"],
  "includeFullText": true,
  "publishedAfter": "2026-10-01"
}

The same story found through several sources is delivered once.

Pricing

Pay per article delivered, platform usage included, plus a flat start fee per run.

Plan	Per 1,000 articles	Run start
Free	$1.50	$0.001
Bronze	$1.35	$0.001
Silver	$1.20	$0.001
Gold	$1.05	$0.001

Sources Medium has nothing for cost nothing beyond the start fee. Set a maximum charge per run and the actor stops when it is reached.

Limits and honest caveats

• About the newest 10 stories per source. Medium lists only the latest 9-10 stories per tag, author or publication and offers no way to page back. This is a "what is new" scraper, not an archive downloader. Run it on a schedule to build history.
• No claps, comments or responses count, no subtitle, no keyword search. Those are not available without logging in to Medium; this actor does not use a login.
• Member-only flag. For authors and publications, a story that comes with no body is flagged isMemberOnly: true; free stories are false. Tag results carry only a snippet for every story, so the flag is null there. Scrape the author or publication to get it.
• Full text comes only for free stories of authors and publications, not for tag results and never for member-only stories.
• Large source lists. Medium limits how many feeds one network address may read in a row, so a list of more than ~20 sources moves across several routes and takes a few minutes. Anything the run could not read is named in its status.

FAQ

Do I need a Medium account or API key? No.

Can I scrape a whole tag or all articles of a publication? No: Medium only exposes the newest stories per source. Schedule daily runs with Published after to collect everything going forward.

Why is isMemberOnly null? The row came from a tag. Add the author or publication as a source to learn whether the story is free.

Why did a source return nothing? The run status says why: the tag has no stories, no such author or publication exists, nothing was published after your date, or Medium refused the request.

Related actors

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