Review intelligence, in seconds

Turn any app's reviews into clean data.

Try:
Sentiment split
Trend & version tracking
Activity heatmap
CSV / JSON export
Live preview · sample data

Every scrape ends in this.

Sentiment split, review-volume trends, activity heatmaps, version-by-version ratings — computed from every scraped review. Go ahead, the charts below are interactive.
Average rating
4.1
-0.27 vs store average
Reviews scraped
180
Complete full pull
Response rate
11%
Low developer replies
Positive sentiment
80%
17% negative
Review volume
Last 12 months
24181260AugSepOctNovDecJanFebMarAprMayJunJul
Sentiment split
Across all reviews
180
reviews analyzed
144
Positive
5
Neutral
31
Negative
from star ratings + review-text analysis
Activity by time
When reviews land
≥1
≥2
≥3
≥5
9pm
6pm
4pm
2pm
12pm
9am
8am
Sun
Mon
Tue
Wed
Thu
Fri
Sat
Rating breakdown
60% love it
5
60.0%
4
16.7%
3
6.1%
2
10.6%
1
6.7%
store-wide distribution marker — your scrape vs all ratings
Sentiment intelligence
Every review is scored and split into positive, neutral and negative — see exactly what's dragging your rating and what users love.
Trends & activity
Monthly volume, the hours reviews actually land, and ratings tracked release-by-release so regressions surface immediately.
Own your data
Clean RFC-4180 CSV and pretty JSON exports with every field — ratings, dates, versions, helpful votes and developer responses.
Paste a link. Get this for your app.