# Changelog of App Store & Google Play Reviews Scraper + Sentiment Analysis (`integrative_tangent/app-reviews-intelligence`) Actor

- **URL**: https://apify.com/integrative\_tangent/app-reviews-intelligence/changelog.md
- **Full Actor documentation**: https://apify.com/integrative\_tangent/app-reviews-intelligence.md

## Changelog

### 1.1.0

Fixes found by analyzing 1,000 reviews from a live run rather than from fixtures.

- **Billing correctness.** Google Play returns the same reviews for every storefront when the language matches. A four-storefront Android run produced 400 rows that were 100 unique reviews repeated four times — and billed all 400. Reviews are now deduplicated by ID across the whole app before charging, and Android storefronts that map to an already-covered language are skipped entirely. A measured 38% overbilling on that run drops to zero.
- **Google Play storefronts now map to languages** (`br` → `pt`, `de` → `de`, …), which is the parameter that actually changes Google's review set.
- **A 1- or 2-star review can no longer be labelled positive.** "Respect the Goat 🇦🇷" is a protest review; AFINN scores "respect" at +2 and it came back positive. Low stars now cap the label at `mixed`.
- **Language detection fixed for short text.** Short foreign reviews like "Ist Nice. Duo ist geil" were being scored with the English lexicon. 53 of 1,000 live reviews were rerouted to the correct language.
- **Four new topics** for the biggest uncovered clusters: `gamification_rewards`, `brand_controversy`, `content_moderation`, `effectiveness_results`. Untagged reviews dropped from 55.2% to 45.6% on the same live sample.

### 1.0.0

First release.

- Reviews from the iOS App Store (public RSS feed) and Google Play, across up to 8 storefronts per run.
- Sentiment scoring in 6 languages (en, es, pt, fr, de, it) with per-review language detection.
- Negation handling — "never crashes" and "no bugs" score as praise, and a clause breaker stops the negation leaking ("never crashes **but** the ads are awful" stays a complaint).
- 14-topic taxonomy for app reviews, with multilingual keywords.
- Complaints ranked by pain (frequency × negativity), each with verbatim quotes.
- Per-version and per-month breakdowns, plus automatic detection of a release that regressed against the app's own baseline.
- Head-to-head comparison across 2+ apps, topic by topic, with explicit weaknesses and strengths versus the best competitor.
- Pay-per-event pricing: cheap raw reviews, separate charge for the intelligence reports.