App Review Deep Report — Sentiment, Themes & Complaints
Pricing
from $6,700.00 / 1,000 deep reports
App Review Deep Report — Sentiment, Themes & Complaints
Pricing
from $6,700.00 / 1,000 deep reports
Rating
0.0
(0)
Developer
NexGen Watch
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
Share
App Review Deep Report — Sentiment, Themes, Complaints & Trend
Stop paying $50–100+/month for a review-intelligence subscription you use a few times. This actor delivers the same deep review analysis per report, on demand, with no subscription — one app in, one complete intelligence report out.
| Typical review-intelligence SaaS | App Review Deep Report | |
|---|---|---|
| Pricing | $50–100+/month, every month | $10.00 / report (FREE tier), pay only when you run |
| Commitment | Annual/monthly lock-in | None — per report |
| Break-even | — | Run 5+ reports/month and you're still under one month of most subscriptions |
If you pull a competitive or portfolio review read once a week, that's ~$40/month at the FREE tier (less on volume tiers) — versus $50–100+/month for an always-on seat you rarely max out.
What you get in one report
Feed it one app (app_id + store) and it fetches up to 1,000 public reviews (logged-out, public data only) and returns one deep report:
- Full sentiment breakdown — positive / neutral / negative split, average sentiment score, average star rating
- Theme clustering — the terms and phrases reviewers actually use, ranked by mentions
- Complaint ranking — negative-review clusters ranked by frequency, each with its share of negatives and a real example quote
- Feature-request extraction — reviews that ask for something, clustered into the most-requested asks
- Trend vs prior period — current window compared against a prior window (explicit dates, or an automatic median split), with sentiment and rating deltas and a worsening/improving/flat call
- Developer-response coverage — how much of the feedback the developer is answering
- Rendered markdown summary — the whole report as a readable brief (a dataset field and a key-value-store record), ready to paste into a deck or ticket
Input
| Field | Required | Description |
|---|---|---|
app_id | yes | Apple numeric track id (e.g. 284882215) or Google Play package name (e.g. com.spotify.music) |
store | yes | apple or google_play |
country | no | Storefront country code (default us) |
language | no | Language code for Google Play (default en) |
max_reviews | no | Cap on public reviews fetched (default/max 1000) |
trend_current_from / trend_current_to / trend_prior_from / trend_prior_to | no | Explicit ISO date windows for the trend comparison. Leave all empty to auto-split by median date. |
Method — deterministic, transparent, model-included
Analysis runs the ngd-lexicon-v1 engine: a transparent lexicon plus a rating prior. It is fully deterministic — the same reviews always produce the same report. No external LLM, no API key to bring, no "AI" black box. The model is included in the price.
Pricing
- Actor start: $0.05 (one-time, platform-reserved).
deep_report: $10.00 per report at the FREE tier (BRONZE $9.00 · SILVER $8.00 · GOLD $6.70). Charged exactly once, only after the report is successfully built and delivered. If reviews can't be fetched or analysis can't run, the run fails and you are charged nothing for the report.
Notes
- Public, logged-out data only. No login, no private endpoints.
- Cost-bounded: memory/time caps, a bounded per-page request-attempt budget, and a hard review/output cap.
![G2 Reviews + AI Intelligence [$1.5💰] w/ EMAILS avatar](https://images.apifyusercontent.com/3E11OGrx-dkiYD646b4TYDUB6y2-n1dseQQ13nQiq0M/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItaGJpUWdCeEt4aG00dGZCUXotMW90SGpxUFRjdS10b1pOTFhWcEZqOUE1RmN5My1hY3Rvci1kUDZUcENmTDVSaGZoek9FaC1XSW9DRktEYjFjLUNoYXRHUFRfSW1h.webp){kind=avatar}
![Capterra Reviews + AI Pain-Point Intelligence [0.9$💰] EMAILS avatar](https://images.apifyusercontent.com/Bo0LQP9dbVxaz3AYVkpHgpg9ve3opbuZvlOv9c-x8Tc/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vbmduOHZSRVNUa3NleVdFNnAtYWN0b3ItMzhmZWNycW5uTFZFZFY5bjctTnNkZXZIZmVqWC1jYXRlcnJhLmpwZWc.webp){kind=avatar}
