# Apple App Store Scraper — Apps, Reviews & Charts (`scrapesage/app-store-scraper`) Actor Scrape the Apple App Store: search apps, full app details, top free/paid/grossing charts, whole developer portfolios and user reviews. Rich metadata (ratings, versions, sizes, screenshots) plus a monitoring mode for new apps and reviews. No login, no key, no browser. - **URL**: https://apify.com/scrapesage/app-store-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** Developer tools, SEO tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 app scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Apple App Store Scraper — Apps, Reviews & Charts Extract **everything public on the [Apple App Store](https://www.apple.com/app-store/)** — full **app details** (ratings, pricing, versions, sizes, release notes, screenshots), **user reviews**, **top free/paid/grossing charts** by category, and an entire **developer's app portfolio**. Built straight on Apple's own iTunes/App Store endpoints for clean, fast, structured data. No login, no API key, no browser — and an optional **monitoring mode** that returns only new apps and new reviews on each run. ### Why this App Store scraper? Most App Store scrapers do one narrow thing. This actor rolls **five jobs into one tool** and ships the **richest dataset in the category** — the complete app record, not just a handful of visible fields. | Data | Typical App Store scrapers | This actor | |---|---|---| | App search by keyword | partial | ✅ | | Full app details (rating, # ratings, version, size, min iOS, release notes…) | basic fields | ✅ 40+ fields | | Developer name, website & developer page | ❌ | ✅ | | Top charts (free / paid / grossing) by category | sometimes | ✅ | | Whole developer portfolio | ❌ | ✅ | | User reviews (rating, title, text, version, helpful votes) | ✅ | ✅ | | Bundle ID ⇄ App ID ⇄ URL — all accepted | ❌ | ✅ | | **Monitoring mode** — only new apps / reviews | ❌ | ✅ | | One run, five jobs (search · details · charts · developer · reviews) | ❌ | ✅ | ### Use cases - **ASO & market research** — see who ranks for a keyword or tops a category, with ratings, rating counts, pricing, version cadence and release notes; compare your app to its rivals. - **Review intelligence & monitoring** — track ratings and user feedback for your app and competitors; run on a schedule with monitoring mode to capture only the newest reviews for sentiment, bug signals and support alerts. - **Competitive & portfolio tracking** — scrape a rival developer's entire catalogue, or watch a category chart to catch new entrants the moment they appear. - **App discovery & aggregation** — power dashboards, newsletters and datasets with structured app metadata across countries and categories. - **Due diligence** — capture each app's price, content rating, advisories, supported devices, languages, size and update history. ### How to use 1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor. 2. Open the **Apple App Store Scraper**, pick a **mode** (Search, App details, Top charts, Developer apps, or Reviews), fill in the matching field, and click **Start**. 3. Watch results stream into the dataset table as each record is parsed. 4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2). ### Input Search a keyword across the US storefront: ```json { "mode": "search", "searchTerms": ["habit tracker", "crypto wallet"], "maxAppsPerQuery": 50, "country": "us" } ```` Pull the newest reviews for specific apps, on a schedule, getting only new ones each run: ```json { "mode": "reviews", "appIds": ["324684580", "com.spotify.client", "https://apps.apple.com/us/app/id389801252"], "maxReviewsPerApp": 200, "reviewsSort": "mostrecent", "monitorMode": true } ``` - **mode** — `search`, `appDetails`, `topCharts`, `developerApps`, or `reviews`. Each mode uses the field that matches it (`searchTerms`, `appIds`, `collection`+`genre`, `developerIds`, or `appIds`). - **appIds** — numeric App Store IDs (`324684580`), bundle IDs (`com.spotify.client`) or full App Store URLs; all three are accepted. - **collection / genre** — for `topCharts`: `TOP_FREE` / `TOP_PAID` / `TOP_GROSSING`, in a category or `All apps`. - **developerIds** — numeric developer (artist) IDs or App Store developer URLs (e.g. `…/developer/spotify/id324684583`). - **fullDetails** *(default true)* — for charts, enrich each ranked app with its full record. Search and Developer modes already return full records. - **country / language** — storefront (`us`, `gb`, `de`, `jp`…) and an optional Apple language tag (`en_us`). - **monitorMode / monitorStoreName** — emit only records not seen in previous runs (see **Monitoring** below). - **proxyConfiguration** — proxy settings (Apify proxy by default). ### Output One dataset; every row is tagged with a `type` (`app` or `review`). Use the **Apps**, **Developers**, and **Reviews** views to switch the columns. An app record (`type: "app"`, abridged — 40+ fields in total): ```json { "type": "app", "appId": 324684580, "bundleId": "com.spotify.client", "title": "Spotify: Music and Podcasts", "artistName": "Spotify", "developer": { "name": "Spotify", "website": "https://www.spotify.com/", "artistId": 324684583, "artistViewUrl": "https://apps.apple.com/us/developer/spotify/id324684583" }, "averageUserRating": 4.78, "userRatingCount": 40406484, "formattedPrice": "Free", "primaryGenreName": "Music", "genreList": ["Music", "Entertainment"], "version": "9.1.50", "releaseNotes": "We're always making changes…", "fileSizeBytes": "287000000", "minimumOsVersion": "16.1", "contentAdvisoryRating": "12+", "releaseDate": "2011-07-14T…", "currentVersionReleaseDate": "2026-06-11T…", "screenshotUrls": ["https://…"], "trackViewUrl": "https://apps.apple.com/us/app/id324684580", "isFree": true, "priceValue": 0, "fileSizeMB": 274.3, "daysSinceUpdated": 3, "ageYears": 14.9, "recentlyUpdated": true, "screenshotCount": 8, "languageCount": 61, "isUniversal": true, "scrapedAt": "2026-06-14T12:00:00.000Z" } ``` A review record (`type: "review"`): ```json { "type": "review", "appId": "324684580", "reviewId": "12387654321", "userName": "Omar M.", "score": 5, "title": "Best music app", "text": "Spotify is my go-to for music and podcasts…", "appVersion": "9.1.50", "voteSum": 3, "voteCount": 3, "updated": "2026-06-13T10:49:06.000Z", "scrapedAt": "2026-06-14T12:00:00.000Z" } ``` **Coverage notes.** App data comes from Apple's own iTunes endpoints, so the core fields (title, developer, rating, price, version, category) are near-universal; optional fields (release notes, screenshots, advisories) appear when Apple publishes them. Apple's public review feed exposes roughly the **latest ~500 reviews per app** (50 per page, up to 10 pages) — use monitoring mode on a schedule to accumulate more over time. Apple does **not** publish developer email addresses, so the developer block carries name, website and developer-page URL only. Empty results (e.g. an app with no reviews) are reported as a successful run. ### Monitoring — get only new apps & reviews Turn on **`monitorMode`** to make repeat runs incremental. The actor remembers what it has already returned (app IDs for search/charts/developer modes; review IDs for reviews mode) in a named key-value store (**`monitorStoreName`**) and emits **only records that are new since the last run**. - Track a **category chart** or a **keyword** and get only *new apps* as they appear. - Track an **app's reviews** and capture only the *newest reviews* each run — perfect for sentiment dashboards and support alerts. - It works **alongside [Apify Schedules](https://docs.apify.com/platform/schedules)**, not against them: the schedule triggers the run on your cron; monitoring mode dedupes against earlier runs so each run yields only fresh data. Use a distinct `monitorStoreName` per tracked target so their histories stay separate. ### Automate & schedule Run this actor on autopilot and pull results into your own stack: - **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST. - **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs. - **[Schedules](https://docs.apify.com/platform/schedules)** — run it on a cron to keep your data fresh. - **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions the moment a run finishes. ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' }); const run = await client.actor('scrapesage/app-store-scraper').call({ mode: 'topCharts', collection: 'TOP_FREE', genre: '6015', maxAppsPerQuery: 50, country: 'us', }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} records`); ``` ### Integrate with any app Connect the dataset to 5,000+ apps — no code required: - **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios. - **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new records straight into your CRM or sheet. - **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a run finds something new. - **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet. - **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse. - **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases. ### Use with AI assistants (MCP) The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find the top 25 free finance apps on the App Store and summarise their ratings" and let it run this scraper for you. ### Agent-ready: autonomous payments (x402 & Skyfire) This actor is **agent-ready** — AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards: - **[x402](https://docs.apify.com/platform/integrations/x402)** — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp) — no account, no API key. - **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)** — agent-to-service payments for fully autonomous AI-agent workflows. Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes. ### More scrapers from scrapesage Build a complete **app-market & competitive-intel stack** — pair App Store data with the Play Store, ads, hiring and outreach signals: - **[Google Play Scraper](https://apify.com/scrapesage/google-play-scraper)** — the Android side of the same app: search, app details, top charts, developer portfolios, reviews **and developer-contact leads**. Run both for full cross-platform coverage. - **[Product Hunt Scraper](https://apify.com/scrapesage/product-hunt-scraper)** — new product launches, makers & maker leads. - **[Google Ads Transparency Scraper](https://apify.com/scrapesage/google-ads-transparency-scraper)** — see exactly which ads any advertiser is running. - **[Facebook Ad Library Scraper](https://apify.com/scrapesage/facebook-ad-library-scraper)** — competitor ad creatives on Meta & Instagram. - **[LinkedIn Jobs Scraper](https://apify.com/scrapesage/linkedin-jobs-scraper)** — job postings as hiring-intent signals. - **[Multi-ATS Job Scraper](https://apify.com/scrapesage/multi-ats-job-scraper)** — jobs from Greenhouse, Lever, Ashby, Workday & more. - **[SAM.gov Scraper](https://apify.com/scrapesage/sam-gov-scraper)** — US federal contract opportunities & contacts. - **[Eventbrite Scraper](https://apify.com/scrapesage/eventbrite-scraper)** — events plus organizer leads with contacts. - **[Telegram Scraper](https://apify.com/scrapesage/telegram-scraper)** — channels, messages, media & search. - **[Airbnb Scraper](https://apify.com/scrapesage/airbnb-scraper)** — listings, prices, availability & market monitor. ### Tips - **Charts:** pick a `collection` (free/paid/grossing) and a `genre`, set `country`, and keep `fullDetails` on for the complete per-app record; turn it off for a faster, lighter ranked list. - **Reviews at scale:** Apple caps the public feed at ~500 newest reviews per app — schedule the run with monitoring mode to keep accumulating new reviews over days and weeks. - **Monitoring:** give each tracked target its own `monitorStoreName`, then schedule the run — you'll only ever process new records. - **Localize:** set `country` (and optionally `language`) to match the storefront you care about; rankings, pricing and the review pool all change by country. - **Flexible IDs:** mix numeric App Store IDs, bundle IDs and App Store URLs freely in `appIds` — the actor resolves them all. ### FAQ **Do I need an Apple account or API key?** No. This actor reads Apple's public iTunes/App Store endpoints — no login, key, or cookies. **How many reviews can I get per app?** Apple's public review feed exposes roughly the latest 500 per app (50 per page, up to 10 pages). Use monitoring mode on a schedule to keep capturing new reviews over time. **Does it include developer email addresses?** No — Apple doesn't publish developer emails on the App Store. The developer block carries the developer's name, website and developer-page URL. **Can I scrape a specific country's store?** Yes — set `country` (and optionally `language`). Charts, prices, availability and reviews are all storefront-specific. **Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive). **Is scraping the App Store legal?** This actor collects publicly available data only. You're responsible for using the data in compliance with applicable laws (e.g. GDPR/CCPA for personal data) and Apple's terms. ### Need help? Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained. # Actor input Schema ## `mode` (type: `string`): Pick a job. Search finds apps by keyword. App details pulls the full record for specific apps. Top charts lists the top free/paid/grossing apps in a category. Developer apps returns a developer's whole portfolio. Reviews pulls user reviews for specific apps. ## `searchTerms` (type: `array`): Keywords to search the App Store for, e.g. `habit tracker`, `crypto wallet`. One row per term. (Mode: Search.) ## `appIds` (type: `array`): Numeric App Store IDs (e.g. `324684580`), bundle IDs (e.g. `com.spotify.client`), or full App Store URLs. Used by the App details and Reviews modes. ## `collection` (type: `string`): Which ranking to pull. (Mode: Top charts.) ## `genre` (type: `string`): Category for the top chart, or `All apps` for the overall chart. (Mode: Top charts.) ## `developerIds` (type: `array`): Numeric developer (artist) IDs, e.g. `324684583`, or App Store developer URLs like `https://apps.apple.com/us/developer/spotify/id324684583`. Returns every app in their portfolio. (Mode: Developer apps.) ## `maxAppsPerQuery` (type: `integer`): Cap the number of apps returned per search term, chart, or developer (Apple returns up to 200). ## `fullDetails` (type: `boolean`): For Top charts, open each ranked app for the complete record (full description, ratings, version, size, release notes, screenshots…). Search and Developer modes already return full records. Turn off for a faster, lighter chart listing. ## `maxReviewsPerApp` (type: `integer`): How many reviews to fetch per app, newest first by default. Apple's public review feed exposes roughly the latest 500 per app (50 per page, 10 pages). (Mode: Reviews.) ## `reviewsSort` (type: `string`): Order in which reviews are pulled. (Mode: Reviews.) ## `country` (type: `string`): Two-letter App Store storefront code (e.g. `us`, `gb`, `de`, `jp`). Affects rankings, pricing, availability and the review pool. ## `language` (type: `string`): Optional Apple language tag for app metadata, e.g. `en_us`, `de_de`, `fr_fr`. Leave blank to use the storefront default. ## `monitorMode` (type: `boolean`): Remember what was already returned and emit ONLY records not seen in previous runs (new apps for a search/chart, or new reviews for an app). Pairs with Apify Schedules to track changes over time. ## `monitorStoreName` (type: `string`): Named key-value store that holds the 'already seen' ids for monitoring mode. Use a different name per tracked target/query to keep their histories separate. ## `maxConcurrency` (type: `integer`): Maximum parallel requests. Lower it if you hit rate limits on very large runs. ## `proxyConfiguration` (type: `object`): Proxy settings. Apple's public endpoints have no hard anti-bot, so the default Apify proxy is plenty; switch to residential for very large or high-frequency runs. ## Actor input object example ```json { "mode": "search", "searchTerms": [ "habit tracker" ], "appIds": [ "324684580" ], "collection": "TOP_FREE", "genre": "ALL", "maxAppsPerQuery": 50, "fullDetails": true, "maxReviewsPerApp": 100, "reviewsSort": "mostrecent", "country": "us", "language": "", "monitorMode": false, "monitorStoreName": "app-store-monitor", "maxConcurrency": 6, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): All scraped records in the default dataset. App rows carry full metadata and developer info; review rows carry the user feedback. # 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 = { "searchTerms": [ "habit tracker" ], "appIds": [ "324684580" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/app-store-scraper").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 = { "searchTerms": ["habit tracker"], "appIds": ["324684580"], } # Run the Actor and wait for it to finish run = client.actor("scrapesage/app-store-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchTerms": [ "habit tracker" ], "appIds": [ "324684580" ] }' | apify call scrapesage/app-store-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/app-store-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Apple App Store Scraper — Apps, Reviews & Charts", "description": "Scrape the Apple App Store: search apps, full app details, top free/paid/grossing charts, whole developer portfolios and user reviews. Rich metadata (ratings, versions, sizes, screenshots) plus a monitoring mode for new apps and reviews. No login, no key, no browser.", "version": "0.1", "x-build-id": "WhMEg2fzj1v38SqEe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~app-store-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-app-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesage~app-store-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-app-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesage~app-store-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-app-store-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "What to scrape", "enum": [ "search", "appDetails", "topCharts", "developerApps", "reviews" ], "type": "string", "description": "Pick a job. Search finds apps by keyword. App details pulls the full record for specific apps. Top charts lists the top free/paid/grossing apps in a category. Developer apps returns a developer's whole portfolio. Reviews pulls user reviews for specific apps.", "default": "search" }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords to search the App Store for, e.g. `habit tracker`, `crypto wallet`. One row per term. (Mode: Search.)", "items": { "type": "string" } }, "appIds": { "title": "App IDs / bundle IDs / URLs", "type": "array", "description": "Numeric App Store IDs (e.g. `324684580`), bundle IDs (e.g. `com.spotify.client`), or full App Store URLs. Used by the App details and Reviews modes.", "items": { "type": "string" } }, "collection": { "title": "Chart", "enum": [ "TOP_FREE", "TOP_PAID", "TOP_GROSSING" ], "type": "string", "description": "Which ranking to pull. (Mode: Top charts.)", "default": "TOP_FREE" }, "genre": { "title": "Category", "enum": [ "ALL", "6014", "6000", "6015", "6007", "6005", "6008", "6002", "6012", "6013", "6017", "6016", "6003", "6011", "6018", "6023", "6024", "6020", "6010", "6009", "6004", "6006", "6001" ], "type": "string", "description": "Category for the top chart, or `All apps` for the overall chart. (Mode: Top charts.)", "default": "ALL" }, "developerIds": { "title": "Developer (artist) IDs / URLs", "type": "array", "description": "Numeric developer (artist) IDs, e.g. `324684583`, or App Store developer URLs like `https://apps.apple.com/us/developer/spotify/id324684583`. Returns every app in their portfolio. (Mode: Developer apps.)", "items": { "type": "string" } }, "maxAppsPerQuery": { "title": "Max apps per query", "minimum": 1, "maximum": 200, "type": "integer", "description": "Cap the number of apps returned per search term, chart, or developer (Apple returns up to 200).", "default": 50 }, "fullDetails": { "title": "Enrich chart apps with full details", "type": "boolean", "description": "For Top charts, open each ranked app for the complete record (full description, ratings, version, size, release notes, screenshots…). Search and Developer modes already return full records. Turn off for a faster, lighter chart listing.", "default": true }, "maxReviewsPerApp": { "title": "Max reviews per app", "minimum": 1, "maximum": 500, "type": "integer", "description": "How many reviews to fetch per app, newest first by default. Apple's public review feed exposes roughly the latest 500 per app (50 per page, 10 pages). (Mode: Reviews.)", "default": 100 }, "reviewsSort": { "title": "Sort reviews by", "enum": [ "mostrecent", "mosthelpful" ], "type": "string", "description": "Order in which reviews are pulled. (Mode: Reviews.)", "default": "mostrecent" }, "country": { "title": "Country", "type": "string", "description": "Two-letter App Store storefront code (e.g. `us`, `gb`, `de`, `jp`). Affects rankings, pricing, availability and the review pool.", "default": "us" }, "language": { "title": "Language (optional)", "type": "string", "description": "Optional Apple language tag for app metadata, e.g. `en_us`, `de_de`, `fr_fr`. Leave blank to use the storefront default.", "default": "" }, "monitorMode": { "title": "Monitoring mode — only new records", "type": "boolean", "description": "Remember what was already returned and emit ONLY records not seen in previous runs (new apps for a search/chart, or new reviews for an app). Pairs with Apify Schedules to track changes over time.", "default": false }, "monitorStoreName": { "title": "Monitor store name", "type": "string", "description": "Named key-value store that holds the 'already seen' ids for monitoring mode. Use a different name per tracked target/query to keep their histories separate.", "default": "app-store-monitor" }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 30, "type": "integer", "description": "Maximum parallel requests. Lower it if you hit rate limits on very large runs.", "default": 6 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Apple's public endpoints have no hard anti-bot, so the default Apify proxy is plenty; switch to residential for very large or high-frequency runs.", "default": { "useApifyProxy": true } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```