# App Store Reviews API - Any App, Any Country - $0.8/1K (`om_kh/appstore-reviews-api`) Actor 50 reviews free on every run. Bulk-download Apple App Store reviews for any app and ANY storefront, not just the US. Reads Apple's own keyless feed - no API key, no cookies, no proxies. Returns rating, title, text, author, app version, date, helpful votes and a rating. Pricing: $0.8/1K per result. - **URL**: https://apify.com/om\_kh/appstore-reviews-api.md - **Developed by:** [omar khandji](https://apify.com/om_kh) (community) - **Categories:** E-commerce, MCP servers - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## App Store Reviews API — Any App, Any Country > Bulk-download customer reviews from the Apple App Store. No API key, no cookies, no proxies, nothing that expires. ### Free tier — 50 reviews on every run **The first 50 reviews of every run are free**, on every run you ever make. Point it at your own app and a couple of storefronts and see the real output before you are billed for anything. Beyond the free 50 you pay **$0.0008 per review**, and only for reviews actually delivered to your dataset. One guard: the free allowance never covers more than half of a run, so a run returning 20 reviews gets 10 free. That keeps the offer sustainable. ### Why this one **Apple keeps a separate review feed for every storefront.** A US-only scrape of your app tells you nothing about why your German churn is climbing or what Brazilian users are complaining about. Most App Store review actors read the US store and stop. This one reads **every country you list**, in one run, and merges the results into a single clean dataset with a `country` column. It also goes straight to **Apple's own public feed** — the same one the App Store app uses — so there is no HTML to parse, no anti-bot to fight, and no upstream scraper to pay for. That is why the price stays low. ### What you pass | Field | Example | |---|---| | **Apps** | `https://apps.apple.com/us/app/whatsapp-messenger/id310633997` or just `310633997` | | **Storefronts** | `us`, `gb`, `fr`, `de`, `jp`, `br`, … | | **Max reviews** | up to 500 per app per storefront | Both app forms work, and duplicates are removed before anything is fetched. ### Output One row per review: ```json { "review_id": "14351748239", "app_id": "310633997", "app_name": "WhatsApp Messenger", "developer": "WhatsApp Inc.", "average_rating": 4.6858, "rating_count": 18322718, "country": "fr", "rating": 1, "title": "Impossible de se connecter", "text": "Depuis la dernière mise à jour …", "author": "Pseudo déjà utilisé", "app_version": "26.28.75", "published_at": "2026-07-26T13:47:42-07:00", "helpful_votes": 3, "review_url": "https://itunes.apple.com/us/review?id=310633997", "source": "app_store" } ``` `RUN_SUMMARY.json` adds a `review_signal` block — review count, average rating, the 1–5 star distribution, the share of negative reviews, and which storefronts answered — so an LLM agent gets the picture without reading the dataset. ### Good to know - **Hard cost cap.** Set `maxTotalChargeUsd` and the run can never bill above it. - **App metadata is free.** Name, developer and lifetime rating are attached to every row and never billed. - **Apple's own limit is 500 recent reviews per storefront.** Listing more countries is how you get more data — which is exactly what this Actor is built for. - **A failed app is never billed.** It is reported in `source_errors` and costs you nothing. ### Typical uses - Track how a release lands market by market - Mine complaints for the top churn reasons, per country - Watch a competitor's reviews for feature gaps and outages - Feed reviews into an LLM for themes, sentiment and support-ticket triage ### Related scrapers Same data, other sources — all with the same free tier, the same clean schema and the same pay-only-for-what-you-get billing: | Actor | |---| | [Google Maps Reviews Scraper - Ratings & Text](https://apify.com/om_kh/vigia-google-review-monitor) | | [Yelp Reviews Scraper - Ratings, Text & Reviewers](https://apify.com/om_kh/vigia-yelp-review-monitor) | | [Trustpilot Reviews Scraper - Ratings, Text & Dates](https://apify.com/om_kh/vigia-trustpilot-review-monitor) | | [TripAdvisor Reviews Scraper - Hotels & Restaurants](https://apify.com/om_kh/vigia-tripadvisor-review-monitor) | | [Booking.com Reviews Scraper - Hotels & Stays](https://apify.com/om_kh/vigia-booking-review-monitor) | | [Glassdoor Reviews Scraper - Employer Ratings](https://apify.com/om_kh/vigia-glassdoor-review-monitor) | ### All input fields Every field the Start form accepts, so nothing in the schema is undocumented. Most runs only need the fields already covered above — these are the rest, including advanced/bring-your-own-data options. - **`includeAppMetadata`** (Include app name and lifetime rating) — Attach the app name, developer and lifetime average rating to every row. Never billed. - **`maxReviewsPerApp`** (Max reviews per app and storefront) — Apple serves at most 500 recent reviews per storefront (10 pages of 50). # Actor input Schema ## `apps` (type: `array`): App Store URLs or numeric app IDs. Both forms work: https://apps.apple.com/us/app/whatsapp-messenger/id310633997 or 310633997. ## `countries` (type: `array`): Two-letter country codes. Apple keeps a SEPARATE review feed per storefront, so add every market you care about (us, gb, fr, de, br, jp...). ## `maxReviewsPerApp` (type: `integer`): Apple serves at most 500 recent reviews per storefront (10 pages of 50). ## `includeAppMetadata` (type: `boolean`): Attach the app name, developer and lifetime average rating to every row. Never billed. ## `maxTotalChargeUsd` (type: `number`): Hard maximum amount that this run may charge. The run stops before exceeding it. ## Actor input object example ```json { "apps": [ "https://apps.apple.com/us/app/whatsapp-messenger/id310633997" ], "countries": [ "us", "gb", "fr" ], "maxReviewsPerApp": 200, "includeAppMetadata": true, "maxTotalChargeUsd": 1 } ``` # Actor output Schema ## `report` (type: `string`): A visual summary of delivery, charges, changes, and source issues. ## `results` (type: `string`): Business-ready results in a sortable table. No JSON knowledge required. ## `csv` (type: `string`): Results ready for spreadsheets, CRMs, and analytics tools. ## `excel` (type: `string`): Results as an Excel workbook for non-technical teams. ## `runSummary` (type: `string`): Machine-readable delivery, billing, and source diagnostics. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "apps": [ "https://apps.apple.com/us/app/whatsapp-messenger/id310633997" ], "countries": [ "us", "gb", "fr" ] }; // Run the Actor and wait for it to finish const run = await client.actor("om_kh/appstore-reviews-api").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "apps": ["https://apps.apple.com/us/app/whatsapp-messenger/id310633997"], "countries": [ "us", "gb", "fr", ], } # Run the Actor and wait for it to finish run = client.actor("om_kh/appstore-reviews-api").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "apps": [ "https://apps.apple.com/us/app/whatsapp-messenger/id310633997" ], "countries": [ "us", "gb", "fr" ] }' | apify call om_kh/appstore-reviews-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,om_kh/appstore-reviews-api" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/gwMPUXTIj9dULml3s/builds/twURgIuyYnVjLKsUf/openapi.json