# Changelog of App Store & Google Play Reviews Scraper (`logiover/app-reviews-scraper`) Actor

- **URL**: https://apify.com/logiover/app-reviews-scraper/changelog.md
- **Full Actor documentation**: https://apify.com/logiover/app-reviews-scraper.md

## Changelog

### 2026-09-23

- Fleet-wide quality audit. Verified end to end against live data and re-checked the input schema, the output columns and the run configuration.
- Output verified on a live run: 18 columns returned, 83.0% of cells populated.
- Run reliability reviewed: 100.0% of public runs succeeded in the last 30 days.
- Input schema, output schema and pricing configuration reviewed.
- Noted that 1 column(s) came back empty in this sample (`title`); these are under review.

### 2026-09-01

- Fleet-wide health check. Verified against this Actor's real run history: 30-day success rate, output row counts, per-field fill rates, and peak memory against the configured memory limit.
- Reviewed for the failure patterns that have cost this fleet runs — unguarded proxy setup, retry loops that can outlast the run's own time budget, and full-page HTML parsing that can exhaust a small container.
- No change to input, output fields or scraping logic.

### 2026-08-11

- Maintenance release: refreshed the build and dependencies.
- Re-verified live execution, non-empty structured output and dataset field/type integrity.
- Reviewed reliability (retries, pagination) and output quality as part of a full-fleet QA pass.

### 2026-08-01

- Completed the August 2026 full health check: verified empty/programmatic default, Console UI default, and two source-informed alternative inputs on Apify.
- Confirmed successful live execution, non-empty structured output, dataset-field/type integrity, and logical sample quality within the 5-minute quality window.

### 2026-07-18

- Maintenance & reliability pass — re-verified end-to-end against live data via the Apify API; confirmed the Actor completes successfully and returns non-empty, well-formed results within the 5-minute quality window on its default input.
- Refreshed build so the latest version is current; no change to inputs, output fields or scraping logic.

### 2026-07-12

- **Initial release.** App Store & Google Play Reviews Scraper — mine thousands of user reviews from both major app stores in one run.
- **Two keyless data sources:** Google Play via the `google-play-scraper` package (deep pagination, thousands of reviews per popular app) and the Apple App Store via the public customer-reviews RSS feed (swept across multiple storefronts for volume).
- **Flexible targeting:** accepts Google Play package names, numeric Apple track IDs, or a plain app-name search (`appQuery`) that is resolved on each store automatically.
- **Rich, analysis-ready output:** appId, appName, store, country, reviewId, userName, rating (real number 1–5), title, text, thumbsUp/helpfulCount (numbers), reviewCreatedVersion, appVersion, reviewDate (ISO 8601), developerReplyText, developerReplyDate, derived `sentiment` (positive/neutral/negative), and url.
- **Runs with empty input.** A bare `{}` run returns 1,000+ reviews across a set of hugely-popular apps (WhatsApp, Instagram, Spotify, TikTok, Netflix). Nothing is required.
- **User-friendly dropdowns** for store, country/storefront, language, and sort order.
- **Robust & bounded:** greedy self-correcting review budget (a reliable source backfills a sparse one), ~4-minute time budget, per-review de-duplication, AUTO Apify Proxy with a direct-connection fallback, and graceful error handling that never hard-fails the run.
- Numeric fields stored as real numbers; dataset schema uses nullable union types so no row is rejected. `output_schema.json` and `dataset_schema.json` linked in `actor.json`.