Google Play Store Reviews Scraper - App Reviews Data Export
Pricing
from $0.11 / 1,000 results
Extract Google Play app reviews with rating, review text, author, date, developer reply and app metadata. An app reviews scraper for product research, competitor monitoring and sentiment analysis, returning flat rows ready for JSON, CSV or Excel.
keywords (substring match on review text), recent_days / start_date (date window), app_versions (allow-list on the reviewed app version), and scores (multi-value star-rating filter alongside the existing single-value score).max_items caps and bills only the rows that pass the filters, never the ones dropped by them.scores is set, the single-value upstream rating filter is skipped in favor of post-fetch filtering across the requested ratings; a lone score keeps its exact existing server-side-filtered behavior.newest with a date filter set, paging now stops as soon as a review falls outside the window instead of scanning the app's full review history.Added 40 dataset fields, taking each record from 14 to 54 columns. No existing field was renamed, retyped, or removed.
Added per-review columns recovered from the upstream payload: review headline, Google's quality and feature topic tags, reviewer account ID, direct review URL, and a developer-reply flag.
Added 34 app-context columns: name, summary, icon, store URL, developer identity and contact details, category, overall rating, one-to-five star rating breakdown, installs, price, in-app purchase range, content rating, release date, and last update.
Added the include_app_details input (default on). App details cost one request per app, not per review.
Added strict, source-specific input metadata.
Added machine-readable titles, descriptions, types, and examples for every dataset field.
Added bounded default input for Apify Store and agent testing.
Added canonical Store SEO metadata and example input.