# ProductReview.com.au Scraper ⭐ (`shahidirfan/productreview-com-au-scraper`) Actor Scrape verified product reviews from Australia's trusted review platform. Extract ratings, reviewer feedback, product details & pricing. Ideal for competitor intelligence, e-commerce research, market sentiment analysis & review aggregation. Clean, structured data ready for analytics. - **URL**: https://apify.com/shahidirfan/productreview-com-au-scraper.md - **Developed by:** [Shahid Irfan](https://apify.com/shahidirfan) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## ProductReview.com.au Scraper Extract review data from ProductReview.com.au listing pages for products, services, brands, and retailers. Collect ratings, review text, reviewer details, product variants, brand information, timestamps, attachments, and listing statistics for research, monitoring, and customer feedback analysis. ### Features - **Listing review collection** - Gather reviews from one or more ProductReview.com.au listing URLs. - **Pagination support** - Continue through review pages until your result or page limit is reached. - **Reviewer context** - Capture author name, location, profile statistics, and avatar URL when available. - **Product context** - Include listing name, brand, rating totals, product variant, and image URL. - **Clean dataset** - Empty and always-null values are removed before records are saved. --- ### Use Cases #### Product Research Compare real customer feedback before launching or sourcing a product. Review ratings, complaints, praise, and product variant details in one structured dataset. #### Brand Monitoring Track public reviews for your brand or competitors. Use timestamps, reviewer locations, rating trends, and review text to understand customer sentiment. #### Market Analysis Build datasets across multiple listings. Compare brands by review volume, average rating, common issues, and product variants. #### Customer Support Intelligence Identify recurring problems and high-impact reviews. Use review dates, likes, and attachments to prioritize response workflows. --- ### Input Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `urls` | Array | Yes | Breville Barista Express URL | ProductReview.com.au listing or review URLs to scrape | | `results_wanted` | Integer | No | `20` | Maximum number of reviews to collect across all URLs | | `max_pages` | Integer | No | `3` | Maximum review pages to request per listing | | `proxyConfiguration` | Object | No | Apify Proxy off | Optional proxy settings | --- ### Output Data Each dataset item can contain: | Field | Type | Description | |-------|------|-------------| | `review_id` | String | Unique review identifier | | `review_url` | String | Direct ProductReview.com.au review URL | | `title` | String | Review title when available | | `rating` | Number | Review rating from 1 to 5 | | `body` | String | Review text | | `first_published_at` | String | First publication timestamp | | `submitted_at` | String | Submission timestamp | | `modified_at` | String | Last modified timestamp | | `is_verified` | Boolean | Whether the review is marked verified | | `has_verified_purchase` | Boolean | Whether a verified purchase flag is present | | `number_of_likes` | Number | Review like count | | `attachments` | Array | Review media metadata and image URLs | | `author_name` | String | Reviewer display name | | `author_location` | String | Reviewer location | | `listing_name` | String | Product or service listing name | | `brand_name` | String | Brand name | | `subject_name` | String | Reviewed variant or sub-listing | | `listing_rating` | Number | Overall listing rating | | `listing_reviews_count` | Number | Total review count for the listing | --- ### Usage Examples #### Single Listing Collect the first 20 reviews from one listing: ```json { "urls": [{ "url": "https://www.productreview.com.au/listings/breville-barista-express" }], "results_wanted": 20, "max_pages": 3 } ```` #### Multiple Listings Collect reviews from more than one ProductReview listing: ```json { "urls": [ { "url": "https://www.productreview.com.au/listings/breville-barista-express" }, { "url": "https://www.productreview.com.au/listings/delonghi-dedica-ec680m" } ], "results_wanted": 50, "max_pages": 5 } ``` #### Start From a Later Page Continue from a specific review page: ```json { "urls": [{ "url": "https://www.productreview.com.au/listings/breville-barista-express?page=2" }], "results_wanted": 20, "max_pages": 2 } ``` *** ### Sample Output ```json { "review_id": "2c0135a5-bd03-5374-908b-da20133b7873", "review_url": "https://www.productreview.com.au/reviews/2c0135a5-bd03-5374-908b-da20133b7873", "rating": 1, "body": "The worst thing is, the first thing I think every morning is how poor my coffee maker is.", "first_published_at": "2026-07-03T10:54:48Z", "author_name": "Neil", "author_location": "Australia", "listing_name": "Breville Barista Express", "brand_name": "Breville", "subject_name": "Breville Barista Express BES870BSS (Brushed Stainless Steel)", "listing_rating": 4.1, "listing_reviews_count": 1052 } ``` *** ### Tips for Best Results #### Use Listing URLs - ProductReview listing URLs such as `/listings/breville-barista-express` provide the richest review dataset. - Review URLs are accepted when the public review record is still available. #### Keep Test Runs Small - Start with `20` results while testing. - Increase `results_wanted` and `max_pages` for larger production runs. #### Use Multiple URLs Carefully - The result limit applies across all URLs. - Put the highest-priority listings first. *** ### Integrations Connect your data with: - **Google Sheets** - Review and share extracted feedback. - **Airtable** - Build searchable customer research tables. - **Slack** - Send alerts for new low-rating reviews. - **Webhooks** - Push records into internal tools. - **Make** - Create review monitoring workflows. - **Zapier** - Trigger business actions from new data. #### Export Formats - **JSON** - For apps and data pipelines. - **CSV** - For spreadsheets and BI tools. - **Excel** - For business reporting. - **XML** - For system integrations. *** ### Frequently Asked Questions #### Can I collect reviews from multiple listings? Yes. Add multiple ProductReview listing URLs to `urls`, and the actor will process them in order until it reaches `results_wanted`. #### Does the actor support pagination? Yes. The actor requests additional review pages until it reaches your result limit, page limit, or the listing has no more reviews. #### Why are some fields missing? Some ProductReview records don't include every field. Empty values are removed so the dataset stays clean. #### Can I scrape category pages? This actor is optimized for listing and review URLs. Use listing URLs for reliable review extraction. #### How many reviews should I request? Start with 20 to test a URL. For larger jobs, raise `results_wanted` and `max_pages` based on the listing's review count. *** ### Support For issues or feature requests, contact support through the Apify Console. #### Resources - [Apify Documentation](https://docs.apify.com/) - [API Reference](https://docs.apify.com/api/v2) - [Scheduling Runs](https://docs.apify.com/schedules) *** ### Legal Notice This actor is designed for legitimate data collection purposes. Users are responsible for compliance with website terms of service and applicable laws. # Actor input Schema ## `urls` (type: `array`): ProductReview.com.au listing or review URLs to scrape. ## `results_wanted` (type: `integer`): Maximum number of reviews to collect across all URLs. ## `max_pages` (type: `integer`): Maximum number of review pages to request for each listing URL. ## `proxyConfiguration` (type: `object`): Optional proxy settings. ProductReview.com.au usually works without a proxy, but Apify Proxy can improve reliability. ## Actor input object example ```json { "urls": [ { "url": "https://www.productreview.com.au/listings/breville-barista-express" } ], "results_wanted": 20, "max_pages": 3, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 = { "urls": [ { "url": "https://www.productreview.com.au/listings/breville-barista-express" } ], "results_wanted": 20, "max_pages": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("shahidirfan/productreview-com-au-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 = { "urls": [{ "url": "https://www.productreview.com.au/listings/breville-barista-express" }], "results_wanted": 20, "max_pages": 3, } # Run the Actor and wait for it to finish run = client.actor("shahidirfan/productreview-com-au-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 '{ "urls": [ { "url": "https://www.productreview.com.au/listings/breville-barista-express" } ], "results_wanted": 20, "max_pages": 3 }' | apify call shahidirfan/productreview-com-au-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=shahidirfan/productreview-com-au-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ProductReview.com.au Scraper ⭐", "description": "Scrape verified product reviews from Australia's trusted review platform. Extract ratings, reviewer feedback, product details & pricing. Ideal for competitor intelligence, e-commerce research, market sentiment analysis & review aggregation. Clean, structured data ready for analytics.", "version": "0.0", "x-build-id": "3zH3qap3p253mifWc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/shahidirfan~productreview-com-au-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-shahidirfan-productreview-com-au-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/shahidirfan~productreview-com-au-scraper/runs": { "post": { "operationId": "runs-sync-shahidirfan-productreview-com-au-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/shahidirfan~productreview-com-au-scraper/run-sync": { "post": { "operationId": "run-sync-shahidirfan-productreview-com-au-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": [ "urls" ], "properties": { "urls": { "title": "ProductReview URLs", "type": "array", "description": "ProductReview.com.au listing or review URLs to scrape.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "results_wanted": { "title": "Results wanted", "minimum": 1, "type": "integer", "description": "Maximum number of reviews to collect across all URLs.", "default": 20 }, "max_pages": { "title": "Maximum pages per listing", "minimum": 1, "type": "integer", "description": "Maximum number of review pages to request for each listing URL.", "default": 3 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy settings. ProductReview.com.au usually works without a proxy, but Apify Proxy can improve reliability.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```