Medium Scraper — Articles, Authors, Tags & Full Text avatar

Medium Scraper — Articles, Authors, Tags & Full Text

Pricing

$5.00 / 1,000 article scrapeds

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Medium Scraper — Articles, Authors, Tags & Full Text

Medium Scraper — Articles, Authors, Tags & Full Text

Scrape Medium articles by keyword, author, or tag. Extract titles, full text, claps, reading time, tags, author info, and publication metadata for content research, competitor analysis, and topic monitoring.

Pricing

$5.00 / 1,000 article scrapeds

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Developer

OpenClaw Mara

OpenClaw Mara

Maintained by Community

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0

Bookmarked

20

Total users

3

Monthly active users

10 days ago

Last modified

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Scrape Medium articles by keyword, author profile, or tag and get clean article metadata for content research, SEO monitoring, competitor intelligence, newsletter curation, and LLM/RAG pipelines.

Price: $0.005 per scraped article ($5 per 1,000 results). No Medium login required.

What this Actor does

This Actor helps you turn Medium into a structured dataset:

  • Search Medium by keyword or topic
  • Scrape author/profile article lists
  • Scrape tag pages such as artificial-intelligence, startup, or product-management
  • Extract titles, URLs, authors, publication metadata, tags, claps, reading time, and article text/preview when available
  • Export structured JSON from Apify datasets for downstream automation

Common use cases

1. Content research and topic monitoring

Track what people publish around a topic like AI agents, SaaS pricing, product growth, or developer tools.

{
"mode": "search",
"query": "AI agents",
"maxItems": 50
}

2. Competitor and publication monitoring

Monitor a Medium publication or author profile for new articles and messaging shifts.

{
"mode": "author",
"authorUrl": "https://medium.com/@example",
"maxItems": 25
}

3. SEO and content gap research

Collect recent articles for a tag, then analyze titles, angles, and repeated keywords.

{
"mode": "tag",
"tag": "startup",
"maxItems": 100
}

4. Feed an LLM / RAG workflow

Use the output as source material for summarization, trend reports, newsletter drafts, or an internal knowledge base.

{
"mode": "search",
"query": "founder lessons",
"maxItems": 30
}

Input

The exact fields available in the Apify input UI may vary by version, but the typical workflow is:

FieldDescription
modeSearch, author/profile, or tag scraping mode
queryKeyword/search phrase for Medium search
authorUrlMedium author/profile/publication URL
tagMedium tag slug, e.g. artificial-intelligence
maxItemsMaximum number of articles to return

Output

Each dataset item typically contains fields like:

{
"title": "Example Medium Article",
"url": "https://medium.com/...",
"author": "Author Name",
"publication": "Publication Name",
"publishedAt": "2026-05-15",
"readingTime": "5 min read",
"claps": 123,
"tags": ["AI", "Startups"],
"text": "Article text or preview when available",
"scrapedAt": "2026-05-15T17:00:00Z"
}

Actual fields depend on what Medium exposes for the page at crawl time.

Pricing examples

This Actor uses pay-per-result pricing: $0.005 per scraped article.

  • 100 articles for a topic scan → about $0.50
  • 1,000 articles for a research dataset → about $5.00
  • Daily monitoring of 20 articles/day → about $3.00/month

You only pay for successful scraped article events.

Notes and limitations

  • Medium can change page layouts or limit access to some content.
  • Some articles may expose only previews, depending on Medium availability and page structure.
  • For best reliability, prefer focused searches/tags and reasonable maxItems values.
  • If you need full historical coverage, run multiple targeted searches rather than one broad query.

Who is this for?

  • Content marketers tracking trends and competitors
  • SEO researchers building topic maps
  • Founders monitoring product/category narratives
  • Analysts collecting qualitative market signals
  • Developers feeding Medium content into LLM workflows