Extract articles from Medium search results - titles, authors, clap counts, reading times, descriptions, response counts, and publication dates - to analyze content performance and discover high-engagement writing in any topic area.
Medium hosts millions of articles from individual writers, company blogs, and curated publications, and its search function surfaces content ranked by a combination of relevance, recency, and reader engagement. For content strategists studying what performs well on Medium, marketers researching audience interests, and writers benchmarking their own work against the competition, Medium search results are a window into what the platform's educated, tech-savvy readership actually engages with. This robot extracts articles from Medium search results into structured data: position, titles, descriptions, author names, clap counts, response counts, reading times, and dates.
Instead of scrolling through Medium's search interface and noting individual articles, you get a complete picture of what content exists for any topic - who wrote it, what it's about, how well it performed, and how readers engaged with it. Use this data to spot content gaps, identify successful writers, and study which angles drive the most reader engagement.
What Medium search extraction enables:
| Position | Title | Author | Claps | Responses |
|---|---|---|---|---|
| #1 | The Future of AI in Content Creation | Sarah Chen | 2,543 | 127 |
| #2 | Understanding Medium's Algorithm in 2024 | James Mitchell | 1,890 | 95 |
| #3 | How to Grow Your Medium Following | Emma Rodriguez | 3,127 | 203 |
| #4 | Data-Driven Writing: What Actually Works | Michael Park | 1,654 | 78 |
| #5 | Building Authority on Medium: A Complete Guide | Lisa Thompson | 2,891 | 156 |
No Medium API and no partner program membership needed. The robot reads search results and delivers structured article data.
Ready to get started?
Try this robot free →Structured Medium data supports content strategy and audience research:
Each article from Medium search results includes:
| Field | What it contains |
|---|---|
| Position | Ranking number of the article in search results. |
| Title | Headline of the Medium post. |
| Description | Preview text or summary excerpt from the article. |
| Author Name | Writer who published the article. |
| Reading Time | Estimated minutes to read the article. |
| Publish Date | When the article was published. |
| Claps Count | Number of reader claps (engagement metric). |
| Responses Count | Number of comments and responses on the article. |
| Image URL | Direct link to the article's featured image or thumbnail. |
| Link | Direct URL link to the full article. |
Search results show article summaries. For full article text and detailed engagement metrics, pair this with individual Medium article or profile scraping.
Can I extract articles behind Medium's paywall?
The robot extracts data visible on the search results page - titles, authors, descriptions, claps, responses, and reading times. Full paywalled article text requires a Medium membership.
How are Medium search results ranked?
Medium's search uses a combination of relevance, recency, and engagement signals. The exact algorithm is proprietary to Medium.
Does it capture member-only articles?
Member-only articles appear in search results with their metadata. The robot extracts this metadata even if the full article requires membership.
Can I filter by date range?
Medium search does not offer date range filtering in the URL. Extract results and filter by date in your spreadsheet after extraction.
Is this Medium scraper free?
Browse AI's free plan includes credits to run this robot. No credit card required.
Search results are the starting point - drill into specific authors and topics for complete Medium intelligence:
Articles, claps, authors - structured content data from Medium search results.
