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Substack top posts scraper for highest-performing newsletter content

Extract the top-performing posts from a Substack publication - positions, titles, descriptions, dates, author information, comment counts, and like counts - sorted by engagement to reveal a newsletter's most successful content and audience preferences.

Substack

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What this robot does

Every Substack publication has a "Top" section that displays posts ranked by audience engagement rather than chronological order. This performance-ranked view surfaces the newsletter's greatest hits - the posts that generated the most likes (hearts), comments, and shares over the publication's lifetime. Each top post listing shows the post position, title, description, publication date, author name, comment count, and like count.

This engagement-ranked data is distinct from the chronological archive because it reveals what actually resonated most with subscribers, regardless of when it was published. An older post with massive engagement can outrank a recent one, revealing evergreen content themes.

For newsletter strategists studying what drives subscriber engagement, content marketers evaluating Substack as a channel, and competitive analysts benchmarking newsletter performance, a publication's top posts reveal its proven content formula. This robot extracts the top-performing posts from any Substack publication.

What Substack top posts extraction delivers:

  • ✓ Proven content formula: Top posts represent a newsletter's best content. Extract these to reverse-engineer which topics, formats, and angles drive the highest engagement.
  • ✓ Evergreen content identification: Posts that continue generating engagement long after publication are evergreen. Extract top posts to identify timeless themes in any newsletter's catalog.
  • ✓ Engagement benchmarks: Extract like and comment counts from top posts to understand what "high performance" looks like for a specific publication. Set realistic engagement targets.
  • ✓ Free vs. paid content performance: Compare engagement between free and paid top posts. Extract labels to see whether a newsletter's best-performing content is locked behind the paywall or open.
PositionTitleDescriptionDateAuthorLikesComments CountPost URLAuthor Profile URLPost Image URL
#1The Future of Newsletter MonetizationExploring new revenue models beyond paywalls and sponsorships2024-01-15Sarah Chen2847156https://substack.com/post/abc123https://substack.com/@sarahchenthumbnail
#2Why Readers Actually UnsubscribeData-driven analysis of churn patterns in newsletter audiences2023-11-22Sarah Chen2341203https://substack.com/post/def456https://substack.com/@sarahchenthumbnail
#3Building an Engaged CommunityStrategies for fostering meaningful subscriber interactions2023-09-10Sarah Chen1956128https://substack.com/post/ghi789https://substack.com/@sarahchenthumbnail
#4Content Calendar Templates for SuccessFree templates to organize your editorial planning2023-08-05Sarah Chen182394https://substack.com/post/jkl012https://substack.com/@sarahchenthumbnail
#5Analytics Every Newsletter Creator Should TrackKey metrics that predict subscriber growth and retention2023-07-18Sarah Chen1647112https://substack.com/post/mno345https://substack.com/@sarahchenthumbnail

How to extract Substack top posts in 4 steps

No Substack account needed. The robot reads public top posts pages and delivers engagement-ranked content data.

  • A free Browse AI account (no credit card required).
  • A Substack publication's top posts page URL.
1
Sign up for free
Create your Browse AI account in under a minute. No credit card required. You will find this prebuilt robot in the robot library ready to use.
2
Navigate to the publication's top posts and copy the URL
Go to any Substack publication and find the "Top" section, which ranks posts by engagement instead of date. Copy the top posts page URL.
3
Run the robot
Click run. The robot reads the Substack top posts page and extracts post positions, titles, descriptions, dates, author names, comment counts, and like counts sorted by engagement performance.
4
Connect integrations or export your data
Your engagement-ranked content data is structured and ready. Export to Google Sheets for content strategy analysis, sync to Airtable for newsletter benchmarking, or study the patterns behind a publication's most successful posts.

Ready to get started?

Try this robot free →

What can you do with Substack top posts data?

Engagement-ranked content data reveals proven audience preferences:

  • Content strategy reverse-engineering: Extract a successful newsletter's top posts. Analyze titles, topics, and timing to understand their proven formula for high engagement.
  • Newsletter benchmarking: Compare top post engagement across newsletters in your niche. Understand what engagement levels are achievable and which publications set the standard.
  • Evergreen content discovery: Top posts surface content with lasting appeal. Extract these to identify topics and angles that sustain engagement long after publication.
  • Paywall strategy analysis: Compare engagement between free and paid top posts. See whether a newsletter's hits are mostly free (growth content) or paid (retention content).
  • Headline and title research: Top-performing post titles are proven engagement drivers. Extract these as inspiration for your own newsletter subject lines and titles.
  • Competitive intelligence for newsletters: Extract competitors' top posts. Understand their most successful content themes and engagement levels to inform your own strategy.
📧
Newsletter creators
Study what works. Extract top posts from successful newsletters to reverse-engineer high-engagement content strategies for your own publication.
📊
Content strategists
Benchmark newsletter performance. Extract and compare top post metrics across publications to set realistic engagement targets.
📰
Media analysts
Track the Substack ecosystem through performance data. Extract top posts to analyze which content themes dominate the newsletter economy.
💼
Marketing teams
Evaluate Substack for content distribution. Extract top posts from relevant newsletters to assess audience engagement potential.

What data does this Substack top posts scraper extract?

Each top post listing provides:

FieldWhat it contains
PositionRanking number of the post by engagement performance.
TitleNewsletter post headline.
DescriptionBrief excerpt or summary of the post content.
DateWhen the post was originally published.
AuthorName of the post author or publication account.
LikesHearts/likes from readers.
Comments CountNumber of subscriber comments.
Post URLDirect link to the full post.
Author Profile URLLink to the author's Substack profile.
Post Image URLURL of the post's featured image or thumbnail.

Top posts show engagement-ranked content. For the complete chronological archive including all posts, use the Substack publication archive scraper.

Frequently asked questions

How does Substack determine top posts?
Substack ranks posts by total engagement - a combination of likes, comments, and shares. The most-engaged posts rise to the top regardless of publication date.

Is the top posts list different from the archive?
Yes. The archive shows posts chronologically. Top posts ranks them by engagement performance, surfacing the publication's highest-performing content.

Can I compare top posts across newsletters?
Yes. Extract top posts from multiple publications and compare engagement numbers. This shows which newsletters generate the strongest audience response.

What metadata does the robot extract with each post?
The robot extracts position ranking, title, description, publication date, author name, like count, comment count, post URL, author profile URL, and post image URL for complete content analysis.

Is this Substack top posts scraper free?
Browse AI's free plan includes credits to run this robot. No credit card required.

Top posts show proven content - combine with archive and topic data for complete newsletter intelligence:

  • Substack archive scraper - Complement engagement-ranked data with the full chronological archive. See publishing patterns alongside performance data.
  • Substack topic leaderboard scraper - Compare a publication's top posts with the broader Substack topic leaderboard to benchmark against all newsletters.
  • Medium publication scraper - Cross-reference Substack top posts with Medium publication data for cross-platform content performance analysis.

Discover a newsletter's best content

Top posts, engagement, patterns - performance-ranked data from Substack publications.

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