# Shopify Reviews Spider (`getdataforme/shopify-reviews-spider`) Actor Effortlessly scrape detailed customer reviews from Shopify app pages, providing insights into performance, feedback, and trends. Features reliable extraction of ratings, dates, and more, with scalable batch processing, fast JSON output, and no coding required for developers, marketers, and analysts. - **URL**: https://apify.com/getdataforme/shopify-reviews-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce, Other - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results 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 ### Description Effortlessly scrape detailed customer reviews from Shopify app pages, providing insights into performance, feedback, and trends. Features reliable extraction of ratings, dates, and more, with scalable batch processing, fast JSON output, and no coding required for developers, marketers, and analysts. --- ## Shopify Reviews Spider ### Introduction The Shopify Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Shopify app pages efficiently and reliably. It enables users to gather valuable insights into app performance, user feedback, and market trends by automating the collection of review data from specified URLs. This tool is ideal for developers, marketers, and analysts seeking to analyze app reviews without manual effort. ### Features - **Comprehensive Review Extraction**: Scrapes detailed review data including ratings, dates, bodies, merchants, and usage times from Shopify app review pages. - **High Reliability**: Built with robust error handling to ensure consistent data extraction even from dynamic web pages. - **Customizable Inputs**: Accepts multiple URLs for batch processing, allowing flexible targeting of specific apps or categories. - **Structured Output**: Delivers clean, JSON-formatted data ready for analysis, export, or integration with other tools. - **Fast Performance**: Optimized for speed with efficient scraping techniques to handle large volumes of reviews quickly. - **No Coding Required**: User-friendly interface on Apify Store for easy setup and execution without technical expertise. - **Scalable**: Supports processing multiple URLs in a single run, making it suitable for large-scale data collection. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | Yes | A list of URLs pointing to Shopify app review pages to scrape. Each URL must be a valid HTTP/HTTPS link. At least one URL is required. | ["https://apps.shopify.com/quoli-product-reviews-ugc"] | ### Example Usage To run the Shopify Reviews Spider, provide the input in JSON format as shown below: ```json { "Urls": [ "https://apps.shopify.com/quoli-product-reviews-ugc" ] } ```` This will scrape reviews from the specified URL. The output will be a JSON array of review objects, such as: ```json [ { "review_id": "2115726", "rating": 5, "date": "March 11, 2026", "body": "Great work, genuinely impressed with the service! The team was professional, efficient, and delivered exactly what was promised. A special thanks to Mr. Usman – he was extremely helpful, polite, and made the whole process smooth and easy. His support and guidance were truly appreciated. Highly recommended!", "merchant": "VISMRUT", "country": "About 1 month using the app", "usage_time": "About 1 month using the app", "reply": null, "source_url": "https://apps.shopify.com/quoli-product-reviews-ugc/reviews", "actor_id": "JAmVcsCWRep0l6TPn", "run_id": "oFp5DEhUnWEPBOvBg" }, { "review_id": "2124510", "rating": 5, "date": "March 17, 2026", "body": "A good app to collect verified customer reviews on my website. Builds customer trust and generates sales. Highly recommended.", "merchant": "MAHNOSH", "country": "About 2 months using the app", "usage_time": "About 2 months using the app", "reply": null, "source_url": "https://apps.shopify.com/quoli-product-reviews-ugc/reviews", "actor_id": "JAmVcsCWRep0l6TPn", "run_id": "oFp5DEhUnWEPBOvBg" }, { "review_id": "2102888", "rating": 5, "date": "March 2, 2026", "body": "Best, Easy and Professional App for widgets and reviews, definitely recommended 10000%", "merchant": "Stickit Nails", "country": "4 days using the app", "usage_time": "4 days using the app", "reply": null, "source_url": "https://apps.shopify.com/quoli-product-reviews-ugc/reviews", "actor_id": "JAmVcsCWRep0l6TPn", "run_id": "oFp5DEhUnWEPBOvBg" } ] ``` ### Use Cases - **Market Research**: Analyze trends in app reviews to understand user preferences and identify popular features. - **Competitive Intelligence**: Compare reviews across similar Shopify apps to benchmark performance and user satisfaction. - **Content Aggregation**: Collect and compile review data for blogs, reports, or dashboards. - **Business Automation**: Automate monitoring of app feedback to trigger alerts on negative reviews or trends. - **Academic Research**: Gather large datasets of user-generated content for studies on e-commerce and consumer behavior. - **Developer Insights**: Use review data to improve app development based on real user feedback. ### Installation and Usage 1. Search for "Shopify Reviews Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The output is a JSON array of objects, each representing a single review. Key fields include: - `review_id`: Unique identifier for the review. - `rating`: Numerical rating (e.g., 1-5). - `date`: Date of the review. - `body`: Full text of the review. - `merchant`: Name of the reviewing merchant. - `usage_time`: Duration the merchant has used the app. - `reply`: Any reply from the app developer (null if none). - `source_url`: URL where the review was scraped. - `actor_id` and `run_id`: Metadata from the Apify run. Data is structured for easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** ### Latest PR information | Field | Value | |-------|-------| | **PR number** | [#89](https://github.com/getdataforme/sujal_webscraping_team/pull/89) | | **PR title** | Shopify appreviews | | **Author** | 1Sujal | | **Merged at** | 2026-04-21T07:43:54Z | | **Trello ticket** | | # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://apps.shopify.com/quoli-product-reviews-ugc" ] } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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("getdataforme/shopify-reviews-spider").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("getdataforme/shopify-reviews-spider").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 '{}' | apify call getdataforme/shopify-reviews-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/shopify-reviews-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Reviews Spider", "description": "Effortlessly scrape detailed customer reviews from Shopify app pages, providing insights into performance, feedback, and trends. Features reliable extraction of ratings, dates, and more, with scalable batch processing, fast JSON output, and no coding required for developers, marketers, and analysts.", "version": "0.0", "x-build-id": "kOKG3IxhwiB93OB4c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~shopify-reviews-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-shopify-reviews-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~shopify-reviews-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-shopify-reviews-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~shopify-reviews-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-shopify-reviews-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://apps.shopify.com/quoli-product-reviews-ugc" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```