# Shopify App Reviews Scraper (`applora/shopify-app-reviews-scraper`) Actor Scrape reviews for any Shopify App Store app — reviewer, rating, date, location, and content. Supports pagination and sort order. - **URL**: https://apify.com/applora/shopify-app-reviews-scraper.md - **Developed by:** [Applora](https://apify.com/applora) (community) - **Categories:** AI, E-commerce, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 reviews 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 Scrape reviews for any app on the Shopify App Store. Input one or more app handles or URLs and the actor paginates through all review pages, returning each review as a flat dataset row. ### Features - **Flexible Input**: Accepts bare app handles (`tiktok`) or full App Store URLs (`https://apps.shopify.com/tiktok`) - **Pagination**: Automatically follows review pages up to `maxPages` per app - **Sort Order**: Choose between `relevance` (default) or `newest` reviews - **Rich Review Data**: Extracts reviewer name, rating, date, location, app usage duration, and full review text - **Run Stats**: Records per-app success/failure counts and total reviews in the key-value store ### Input | Field | Type | Required | Default | Description | | ------------ | ------- | -------- | ----------- | -------------------------------------------------------------- | | `appHandles` | array | Yes | — | App handles or App Store URLs, e.g. `["tiktok", "klaviyo"]` | | `maxPages` | integer | No | `5` | Max review pages per app. Each page contains up to 10 reviews. | | `sortBy` | string | No | `relevance` | Review sort order: `relevance` or `newest` | ### Output #### Dataset One row per review across all requested apps. ```json { "appUrl": "https://apps.shopify.com/tiktok", "appName": "TikTok", "reviewer": "Jane Smith", "rating": 5, "reviewCreatedDate": "2024-06-01T00:00:00+00:00", "reviewerLocation": "United States", "reviewerLatestUsedDate": "Using app for about 2 years", "reviewContent": "Excellent app, drives real traffic to our store.", "reviewId": "abc123" } ```` | Field | Type | Description | | ------------------------ | ------ | -------------------------------------------- | | `appUrl` | string | Full App Store URL of the reviewed app | | `appName` | string | Display name of the app | | `reviewer` | string | Reviewer's display name | | `rating` | number | Star rating (1–5) | | `reviewCreatedDate` | string | ISO 8601 date the review was posted | | `reviewerLocation` | string | Reviewer's country or region (if shown) | | `reviewerLatestUsedDate` | string | How long the reviewer has been using the app | | `reviewContent` | string | Full review text | | `reviewId` | string | Shopify's internal review identifier | #### Stats (Key-Value Store) ```json { "total": 3, "succeededApps": 3, "failedApps": 0, "totalReviews": 142 } ``` | Field | Description | | --------------- | ------------------------------------------------ | | `total` | Total number of apps requested | | `succeededApps` | Apps where at least one review page was scraped | | `failedApps` | Apps that failed to fetch (network errors, etc.) | | `totalReviews` | Total individual reviews pushed to the dataset | ### Usage Examples #### Scrape reviews for a single app ```json { "appHandles": ["tiktok"] } ``` #### Scrape newest reviews for multiple apps ```json { "appHandles": ["tiktok", "klaviyo", "judge-me-product-reviews"], "maxPages": 10, "sortBy": "newest" } ``` #### Use full App Store URLs ```json { "appHandles": ["https://apps.shopify.com/tiktok", "https://apps.shopify.com/klaviyo-email-marketing"], "maxPages": 3 } ``` # Actor input Schema ## `appHandles` (type: `array`): App handles or full Shopify App Store URLs to scrape reviews for, e.g. \["tiktok"] or \["https://apps.shopify.com/tiktok"]. ## `maxPages` (type: `integer`): Maximum number of review pages to scrape per app. Each page contains up to 10 reviews. ## `sortBy` (type: `string`): Review sort order. ## Actor input object example ```json { "appHandles": [ "tiktok" ], "maxPages": 5, "sortBy": "relevance" } ``` # Actor output Schema ## `results` (type: `string`): URL of the dataset with the scraped reviews ## `crawlStats` (type: `string`): Statistics about the scrape run # 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 = { "appHandles": [ "tiktok" ] }; // Run the Actor and wait for it to finish const run = await client.actor("applora/shopify-app-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 = { "appHandles": ["tiktok"] } # Run the Actor and wait for it to finish run = client.actor("applora/shopify-app-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 '{ "appHandles": [ "tiktok" ] }' | apify call applora/shopify-app-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=applora/shopify-app-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify App Reviews Scraper", "description": "Scrape reviews for any Shopify App Store app — reviewer, rating, date, location, and content. Supports pagination and sort order.", "version": "0.0", "x-build-id": "C7EhZFyzRu8g8m2Jf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/applora~shopify-app-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-applora-shopify-app-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/applora~shopify-app-reviews-scraper/runs": { "post": { "operationId": "runs-sync-applora-shopify-app-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/applora~shopify-app-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-applora-shopify-app-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": [ "appHandles" ], "properties": { "appHandles": { "title": "App Handles or URLs", "type": "array", "description": "App handles or full Shopify App Store URLs to scrape reviews for, e.g. [\"tiktok\"] or [\"https://apps.shopify.com/tiktok\"].", "items": { "type": "string" } }, "maxPages": { "title": "Max Pages per App", "minimum": 1, "type": "integer", "description": "Maximum number of review pages to scrape per app. Each page contains up to 10 reviews.", "default": 5 }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "newest" ], "type": "string", "description": "Review sort order.", "default": "relevance" } } }, "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 } } } } } } } } } } ```