# App Store Reviews Scraper (Apple) (`geodetic_marigold/app-store-reviews-scraper`) Actor Coleta reviews de qualquer app da Apple App Store via o feed RSS público oficial: nota, título, texto, versão, votos úteis e data. Multi-país, dedup, HTTP puro (sem proxy, sem anti-bot). Para monitorar sentimento por release, ASO e suporte. Pague só pelo resultado. - **URL**: https://apify.com/geodetic\_marigold/app-store-reviews-scraper.md - **Developed by:** [Antonio Fernando Rincon de Mendonça](https://apify.com/geodetic_marigold) (community) - **Categories:** Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.10 / 1,000 review 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 ## App Store Reviews Scraper (Apple) > Coleta reviews de clientes de qualquer app da **Apple App Store** via o **feed > RSS/JSON público oficial** da Apple. HTTP puro — sem proxy, sem anti-bot, sem > API key. Multi-país, dedup por review. ### Por que usar Times de **produto, ASO, marketing e suporte** monitoram reviews a cada release para pegar bugs, medir sentimento e responder rápido. Este Actor puxa os reviews direto da fonte oficial da Apple (`itunes.apple.com/.../rss/customerreviews`), então é **estável e rápido** — nada de HTML que quebra. Exporte em **JSON, CSV ou Excel** (ou via **API** e **MCP**) para BI, planilha ou um agente de IA. ### Casos de uso - Monitorar sentimento e bugs por **versão do app** (campo `appVersion`) - Comparar reviews entre **países** (localização de problemas) - Alimentar dashboards de suporte / voz do cliente - Análise competitiva: puxar reviews do app de um concorrente ### Como rodar 1. Informe o `appId` (id numérico **ou** a URL da App Store) e clique em **Start**. 2. Escolha os países e o máximo de reviews. 3. Exporte em **JSON / CSV / Excel** ou consuma via **API** e **MCP**. 4. (Opcional) Agende execuções recorrentes no **Scheduler** da Apify para monitorar. ### Input | Campo | Tipo | Obrigatório | Descrição | |---|---|---|---| | `appId` | string | sim | Id numérico do app (`310633997`) ou a URL da App Store. | | `countries` | array | — | Códigos ISO de 2 letras (`us`, `br`, `gb`…). Padrão `["us"]`. | | `maxReviews` | integer | — | Máximo total de reviews (1–5000). Padrão 200. | | `sortBy` | string | — | `mostRecent` (padrão) ou `mostHelpful`. | #### Exemplo de input ```json { "appId": "310633997", "countries": ["us", "br"], "maxReviews": 50 } ```` ### Output Cada review no Dataset: ```json { "appId": "310633997", "appName": "WhatsApp Messenger", "country": "us", "reviewId": "14244106519", "author": "oivaar", "rating": 5, "title": "Ótimo", "text": "Funciona muito bem...", "appVersion": "26.25.73", "helpfulVotes": 3, "totalVotes": 4, "updatedAt": "2026-06-30T00:50:13-07:00", "url": "https://apps.apple.com/us/app/id310633997", "scrapedAt": "2026-07-01T00:00:00.000Z" } ``` ### Cobertura — leia com transparência O feed RSS oficial da Apple expõe os **~500 reviews mais recentes por país** (10 páginas × 50). Não é histórico infinito — o valor está em \*\*cobertura multi-país - frescor\*\* (monitorar cada release). Para cobrir mais, rode com vários países e agende execuções recorrentes. ### Use com agentes de IA (MCP) Compatível com o [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp) — um agente de IA descobre o Actor pelo nome `app-store-reviews-scraper`, lê o `input_schema` e chama direto. O `dataset_schema` garante output tipado e estável. ### Preço — Pay Per Event | Evento | Preço | |---|---| | `review-scraped` | por review retornado | Você paga **apenas pelo resultado**: runs que não acham nada custam **zero**. ### FAQ - **Preciso de API key ou login?** Não — o feed RSS da Apple é público. - **Funciona com qualquer app?** Sim, qualquer app da Apple App Store, por id ou URL. - **E o Google Play?** Esta versão cobre a Apple App Store; suporte a Google Play é o próximo passo. - **O formato do output muda entre execuções?** Não — o `dataset_schema` mantém os campos estáveis. ### Changelog - **0.1** — primeira versão: reviews da Apple App Store via RSS oficial, multi-país. # Actor input Schema ## `appId` (type: `string`): O id numérico do app (ex.: "310633997") OU a URL da App Store (ex.: https://apps.apple.com/us/app/whatsapp-messenger/id310633997). ## `countries` (type: `array`): Lista de países da App Store para coletar (cada um traz até ~500 reviews recentes). Ex.: us, br, gb, de, fr, jp. ## `maxReviews` (type: `integer`): Limite total de reviews a coletar (somando os países). A fonte entrega até ~500 por país. ## `sortBy` (type: `string`): Ordem dos reviews. Mais recentes (padrão) para monitorar por release; mais úteis para os de maior peso. ## Actor input object example ```json { "appId": "310633997", "countries": [ "us" ], "maxReviews": 200, "sortBy": "mostRecent" } ``` # 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 = { "appId": "310633997", "countries": [ "us" ] }; // Run the Actor and wait for it to finish const run = await client.actor("geodetic_marigold/app-store-reviews-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 = { "appId": "310633997", "countries": ["us"], } # Run the Actor and wait for it to finish run = client.actor("geodetic_marigold/app-store-reviews-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 '{ "appId": "310633997", "countries": [ "us" ] }' | apify call geodetic_marigold/app-store-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=geodetic_marigold/app-store-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "App Store Reviews Scraper (Apple)", "description": "Coleta reviews de qualquer app da Apple App Store via o feed RSS público oficial: nota, título, texto, versão, votos úteis e data. Multi-país, dedup, HTTP puro (sem proxy, sem anti-bot). Para monitorar sentimento por release, ASO e suporte. Pague só pelo resultado.", "version": "0.1", "x-build-id": "OHzqLcl8jiJ3cLygU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/geodetic_marigold~app-store-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-geodetic_marigold-app-store-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/geodetic_marigold~app-store-reviews-scraper/runs": { "post": { "operationId": "runs-sync-geodetic_marigold-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/geodetic_marigold~app-store-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-geodetic_marigold-app-store-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "appId" ], "properties": { "appId": { "title": "App (id ou URL da App Store)", "minLength": 1, "maxLength": 300, "type": "string", "description": "O id numérico do app (ex.: \"310633997\") OU a URL da App Store (ex.: https://apps.apple.com/us/app/whatsapp-messenger/id310633997)." }, "countries": { "title": "Países (códigos ISO de 2 letras)", "type": "array", "description": "Lista de países da App Store para coletar (cada um traz até ~500 reviews recentes). Ex.: us, br, gb, de, fr, jp.", "default": [ "us" ], "items": { "type": "string" } }, "maxReviews": { "title": "Máximo de reviews", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Limite total de reviews a coletar (somando os países). A fonte entrega até ~500 por país.", "default": 200 }, "sortBy": { "title": "Ordenação", "enum": [ "mostRecent", "mostHelpful" ], "type": "string", "description": "Ordem dos reviews. Mais recentes (padrão) para monitorar por release; mais úteis para os de maior peso.", "default": "mostRecent" } } }, "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 } } } } } } } } } } ```