Extract top-performing Substack posts from topic leaderboards - article titles, descriptions, authors, publication names, read times, and links - to discover the most engaging content and creators in any Substack category.
Substack has grown into the dominant platform for independent writers, with millions of subscribers reading newsletters on topics from technology and politics to culture and finance. Substack's topic leaderboards rank the highest-performing posts within each category - technology, business, culture, politics, food, science, and dozens more. These leaderboards reveal which writers and topics resonate most with paying subscribers, making them a powerful signal for content strategy and media intelligence.
This robot extracts top posts from Substack topic leaderboards: article titles, descriptions, author info, publication names, publication dates, read times, and direct article links. Instead of manually scanning leaderboards for competitive insights, you get a structured dataset of the best-performing content in any Substack category. Analyze what headlines work, which writers dominate, and what topics generate the deepest reader engagement.
What Substack leaderboard extraction reveals:
| Position | Publication Name | Article Title | Author Info | Time of Read |
|---|---|---|---|---|
| 1 | ALAP SHAH | The Global Intelligence Crisis | ALAP SHAH | 13 MIN |
| 2 | ONE USEFUL THING | A Guide to Which AI to Use in the Agentic Era | ETHAN MOLLICK | 13 MIN |
| 3 | DEAN BLUNDELL | BREAKING: Europe Is Coming for Elon Musk… | DEAN BLUNDELL | 6 MIN |
| 4 | BYTEBYTEGO NEWSLETTER | How Large Language Models Learn | BYTEBYTEGO | 10 MIN |
| 5 | ARTIFICIAL CORNER | You’re Using Claude Wrong! | THE PYCOACH | 7 MIN |
No Substack API and no subscription needed. The robot reads the topic leaderboard and delivers structured content data.
Ready to get started?
Try this robot free →Leaderboard data from Substack powers content strategy and media intelligence:
Each post from Substack topic leaderboards includes:
| Field | What it contains |
|---|---|
| Position | The post's rank on the leaderboard. |
| Publication Name | The Substack newsletter the post belongs to (e.g., ONE USEFUL THING). |
| Publication Date | When the post was published (e.g., FEB 22). |
| Article Title | Headline of the Substack article. |
| Article Description | Subtitle or summary line under the headline. |
| Author Info | The writer who published the post. |
| Time of Read | Estimated reading time (e.g., 13 MIN). |
| Article Link | Direct URL to the full post on Substack. |
| Publication Logo | Logo image URL for the newsletter (when available). |
| Article Image | Featured image URL for the post (when available). |
The robot captures all visible metadata from the leaderboard page. For full article content, subscriber counts, and deeper publication details, pair this with individual Substack publication scraping.
What is a Substack scraper?
A Substack scraper extracts structured data from Substack topic leaderboards - article titles, descriptions, authors, publication names, read times, and links - and organizes them into a spreadsheet for analysis and comparison.
Can I extract from multiple topics?
Run separate extractions for each topic leaderboard URL. Combine the datasets to compare top content across categories.
Does it include paid-only posts?
Leaderboards list both free and paid posts. The robot extracts whatever is visible on the leaderboard page, though full paid content requires a subscription.
What fields does the robot extract?
Each row includes Position, Publication Name, Publication Date, Article Title, Article Description, Author Info, Time of Read, Article Link, and image URLs when available.
Is this Substack scraper free?
Browse AI's free plan includes credits to run this robot. No credit card required.
Leaderboard rankings show what is working now - combine with search and archive data for complete Substack intelligence:
Posts, authors, likes - structured data from Substack topic leaderboards.
