Medium Articles Scraper

Extract Medium articles by tag, publication, author or URL with title, author, publication, date, claps, responses, reading time, tags and full text

25 fields per record

Global coverage

JSON / CSV / Excel output formats

Updated 2026-07-26

What you get

Each record is one Medium article with its metadata and engagement stats, ready to analyze, monitor or feed into a content pipeline. Point it at any mix of tags, publications, authors or article URLs.

• imageUrl: hero / preview image URL
• title: article title
• url: article URL
• id: Medium post id
• subtitle*: article subtitle
• previewText: snippet / preview text
• author: author display name
• authorUsername: author username / handle
• authorUrl: author profile URL
• publication: publication name, when the article ran in one
• publicationSlug: publication slug
• publicationUrl: publication URL
• publishedAt: first published date
• updatedAt*: last updated date
• readingTimeMinutes*: estimated reading time in minutes
• wordCount*: article word count
• clapCount*: number of claps / recommends
• responsesCount*: number of responses / comments
• tags: tags / topics on the article
• primaryTopic*: primary topic
• isMemberOnly*: whether the article is member-only
• language*: detected language
• canonicalUrl*: canonical URL
• fullText**: full plain-text article body
• sourceType: which input produced the record (tag, publication, author or url)
• sourceInput: the tag, publication, author or URL it came from
• observedAt: when this article was last seen by the scraper

*These fields appear when Fetch Article Stats is on (the default).

**fullText appears when Include Full Article Text is on.

Who is it for

Use case	Who benefits
Track the top stories for a topic every day	Content and SEO teams
Monitor a publication's or author's newest posts	Editors and community managers
Rank articles by claps and responses for a niche	Trend analysts and researchers
Build a reading list or newsletter from several sources	Newsletter and curation tools
Feed article text and metadata into an AI pipeline	Data and ML engineers

Frequently Asked Questions

What can I scrape from Medium with this? You can scrape articles from any Medium tag or topic, any publication, any author profile, or a list of direct article URLs. One run can mix all four, and every article comes back with its title, author, publication, date, claps, responses, reading time, tags and optional full text.

How many articles can I get per tag, author or publication? Each tag, author and publication returns its most recent articles, and the Max Articles setting caps the total across every source in the run. To pull more, add several tags, publications or authors in a single run, or a list of specific article URLs.

Can I get claps, responses and reading time? Yes. Leave Fetch Article Stats on (the default) and each article is opened to add claps, responses, reading time, word count, subtitle, member-only flag, language and the resolved author and publication. Turn it off for a faster listing-only run.

Can I get the full text of each article? Turn on Include Full Article Text and each record includes the full plain-text body of the article in the fullText field, alongside all the metadata and stats.

What happens with member-only or missing articles? Member-only articles are flagged with isMemberOnly and still return their public metadata and stats. If an article cannot be loaded it is reported as a row with an error and is never counted as a result.

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More scrapers at scrapers.lat

This actor is built and maintained by scrapers.lat, where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at scrapers.lat.

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This actor is an independent tool and has no affiliation with Medium. It only accesses data that is publicly available on the platform. Use it in accordance with Medium's terms of service.