Disclosure: I built the Apify Actor linked at the end and charge per result. The feed below is Apple's public one and needs no key.
Apple's public reviews feed includes im:version on every review, which makes regression-spotting easy: count low-star reviews per app version.
const id = "389801252", cc = "us"; const counts = {}; for (let p = 1; p <= 10; p++) { const r = await fetch(`https://itunes.apple.com/${cc}/rss/customerreviews/page=${p}/id=${id}/sortby=mostrecent/json`); const entries = (await r.json()).feed.entry ?? []; if (!entries.length) break; for (const e of entries) { if (!e["im:rating"]) continue; // skip the app's own entry const v = e["im:version"].label; counts[v] ??= { n: 0, low: 0 }; counts[v].n++; if (+e["im:rating"].label <= 2) counts[v].low++; } await new Promise(r => setTimeout(r, 1000)); } console.table(counts); A version whose low-star share jumps versus the previous one is your suspect. Read its review texts next.
Caveats
- The feed only exposes the latest ~500 reviews per app per country, so old versions have thin samples.
- Run it per storefront; one country is not the whole picture.
Hosted version
Multi-country sweep, star filter, and incremental mode (only new reviews each scheduled run), pay per result: https://apify.com/northgrid-data/app-store-reviews-multi-country
Feedback welcome in the Actor's issues.
