# Shopify App Reviews Scraper (`powerai/shopify-app-reviews-scraper`) Actor Scrape customer reviews from Shopify App Store by providing a review page URL, with automatic pagination and comprehensive review information extraction. - **URL**: https://apify.com/powerai/shopify-app-reviews-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Developer tools, E-commerce, Lead generation - **Stats:** 118 total users, 17 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## 🛍️ Shopify App Reviews Scraper This actor allows you to scrape customer reviews from Shopify App Store by providing a review page URL. It automatically handles pagination and extracts comprehensive review information including ratings, reviewer details, usage information, and review content. ### Features - **URL-based Scraping:** Extract reviews by providing a complete Shopify App Store review page URL - **Automatic Pagination:** Automatically navigates through review pages until reaching the end or max items limit - **Comprehensive Review Data:** Extract detailed information about each review including: - Star ratings (1-5 stars) - Review text content - Reviewer name and location - Review date - App usage duration - Review permalink - **Geographic Information:** Includes reviewer country location - **Usage Context:** Captures how long reviewers have been using the app ### Input Parameters | Field | Type | Required | Description | |----------------|---------|----------|------------------------------------------------| | `appReviewUrl` | string | Yes | Complete Shopify App Store review page URL to scrape | | `maxItems` | integer | No | Maximum number of reviews to fetch | ### Output The output is a main list of review objects, each containing: - `appReviewUrl`: The original review page URL used - `id`: Unique review identifier - `rating`: Star rating (1-5) - `date`: Review submission date - `reviewer`: Name of the reviewer - `country`: Reviewer's country location - `usage`: Duration of app usage by the reviewer - `review`: Full review text content - `permalink`: Direct link to the review - `scrapedAt`: Timestamp of when the review was scraped Example output: ```json [ { "appReviewUrl": "https://apps.shopify.com/judgeme/reviews", "id": "review-1925676", "rating": 5, "date": "October 21, 2025", "reviewer": "Pet ID Tags", "country": "Australia", "usage": "Almost 8 years using the app", "review": "I have been using the app for many years! Today Brain Helped me with setting up on my collection page to show only a product reviews. Very happy with this result! thanks again Brian !", "permalink": "https://apps.shopify.com//reviews/1925676", "scrapedAt": "2025-11-20T01:13:12.260Z" }, ... ] ``` ### Use Cases - App performance monitoring and analysis - Customer sentiment analysis - Competitive research for app developers - Review trend tracking over time - User feedback collection and analysis ### Notes - Results are automatically paginated until reaching the end or max items limit - All reviews include complete text content and metadata - Geographic and usage information helps understand user demographics - Review permalinks allow direct access to individual reviews *** **Start collecting valuable customer feedback from Shopify App Store today!** # Actor input Schema ## `appReviewUrl` (type: `string`): The complete Shopify App Store review page URL to scrape ## `maxItems` (type: `integer`): Maximum number of reviews to fetch ## `proxyConfiguration` (type: `object`): Proxy settings for the actor ## Actor input object example ```json { "appReviewUrl": "https://apps.shopify.com/judgeme/reviews", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("powerai/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 = {} # Run the Actor and wait for it to finish run = client.actor("powerai/shopify-app-reviews-scraper").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 '{}' | apify call powerai/shopify-app-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerai/shopify-app-reviews-scraper" } } } ``` 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/0PFewmVCG49Vuvg1k/builds/8YhqiRb3vrYXcCfaI/openapi.json