AppSumo Product Reviews

AppSumo buyers are among the most opinionated software users on the internet. When they purchase a lifetime deal, they have a direct financial stake in the product's quality and longevity - which means their reviews are unusually detailed, honest, and actionable. Each review on an AppSumo deal page includes the reviewer's name, their star rating (1-5), the review title, the full text of their review, the date it was posted, their avatar image, and a direct link to the review.

What it extracts

• Position — The review's position or ranking on the AppSumo deal page.
• User Name — Display name of the buyer who submitted the review.
• Date — When the review was posted on AppSumo.
• Title — The headline or summary title of the review.
• Review — Full text of the buyer's detailed review.
• Avatar — Profile avatar image of the reviewer.
• Review Link — Direct URL link to the individual review.
• Rating — Star rating from 1 to 5 stars.

What you can do with it

• Pre-purchase due diligence: Extract all reviews for a deal before buying. Read unfiltered feedback from verified purchasers about real-world performance, support quality, and feature completeness.
• Sentiment pattern analysis: Aggregate review ratings and text to identify recurring themes - what users consistently praise, what they criticize, and what features generate the most polarized reactions.
• Competitive product research: Extract reviews for competitor tools on AppSumo. Understand their weaknesses and customer pain points to differentiate your own product or purchasing decisions.
• Founder product feedback loop: If your product is listed on AppSumo, extract reviews regularly to prioritize bug fixes, feature requests, and support improvements based on actual buyer feedback.

How it works

Enter the requested input when prompted. The flow opens the target page, extracts the fields listed above, and saves them as a CSV in your home folder.

Frequently asked questions

How is this different from the AppSumo product listings scraper?

The product listings scraper (page 228) extracts deal-level data - name, price, discount, aggregate rating - across multiple products. This robot goes deeper: it extracts every individual review for a single deal page, including review titles, full review text, reviewer avatars, and direct review links.

Can I extract reviews sorted by most recent or most helpful?

AppSumo allows sorting reviews by different criteria. Sort the reviews as desired before copying the URL, and the robot will extract whatever order the page displays.

What can I do with the review links extracted?

The review links allow you to reference specific reviews directly, share them with your team, or track individual reviewer feedback over time for ongoing product evaluation.