# ProductReview.com.au Scraper — Australian Reviews (`hipersoft/productreview-scraper`) Actor

Scrape reviews and ratings from ProductReview.com.au, Australia's biggest review site. Star rating, title, text, date, likes, verified purchase, incentivised flag, purchase price, store and date, sub-ratings, photos; plus listing rating, review count and star breakdown. Export CSV/JSON.

- **URL**: https://apify.com/hipersoft/productreview-scraper.md
- **Developed by:** [Hipersoft](https://apify.com/hipersoft) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0005 / result

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## ProductReview.com.au Scraper: Australian Product & Business Reviews

**ProductReview.com.au Scraper** extracts **customer reviews and ratings** from **ProductReview.com.au**, **Australia's largest consumer review platform**, covering **products, brands, retailers, insurers, banks, telcos, energy providers, airlines, mattresses, appliances, cars, phones and local businesses**. For every review you get the **star rating, title, full review text, publish date, likes and dislikes, verified purchase flag, incentivised review flag, purchase price (AUD), store where it was bought, purchase date, sub-ratings (value for money, ease of use, customer service, battery life…), photos and company reply count**. In **listings mode** you get a summary per product or business: **average rating, total reviews, questions, 1–5 star breakdown, brand, categories, release date and image**. Search by **keyword** or paste **listing links**, filter by **star rating**, and export to **CSV, Excel or JSON**. Ideal for **brand monitoring, competitor analysis, sentiment analysis, product research, customer-experience teams and AI training data in Australia**.

### What does ProductReview.com.au Scraper do?

- ⭐ **Full reviews** with star rating, title, text and date.
- 🛒 **Purchase details**: price paid, store and purchase date.
- ✅ **Verified purchase** and **incentivised review** flags.
- 📊 **Sub-ratings** such as value for money, ease of use, customer service.
- 🖼️ **Review photos** and company reply counts.
- 🔎 **Search by keyword** or paste **listing links**.
- 📈 **Listings mode**: rating, review count and star distribution for many products or businesses at once.
- 🎯 **Star filter**: collect only 1-star or 5-star reviews.

### What data can you scrape from ProductReview.com.au?

| Field | Description |
|---|---|
| Review | ID, link, stars, title, text, published and modified dates |
| Engagement | Likes, dislikes, company replies |
| Trust | Verified purchase, incentivised review |
| Purchase | Price paid (AUD), store, purchase date |
| Sub-ratings | Value for money, ease of use, service and other criteria |
| Media | Photo count and photo links |
| Listing | Name, link, overall rating |

### Use cases for Australian review data

- **Brand monitoring**: track new reviews about your products or company.
- **Competitor analysis**: compare ratings and complaints across competitors.
- **Sentiment analysis and NLP**: build datasets of Australian consumer opinions.
- **Product research**: find what buyers love or hate before launching or stocking a product.
- **Pricing insights**: see what customers actually paid and where they bought.
- **Customer experience**: surface recurring issues from 1- and 2-star reviews.

### How to scrape ProductReview.com.au

1. Click **Try for free** to open the actor in Apify Console.
2. Paste **listing links** or enter **search terms**.
3. Choose **Reviews** or **Listings** mode and optional **star filter**.
4. Click **Start** and download the data as **CSV, Excel or JSON**.

### Input

#### Example input

```json
{
  "mode": "reviews",
  "listingUrls": ["https://www.productreview.com.au/listings/koala-mattress"],
  "searchQueries": ["robot vacuum"],
  "maxListingsPerSearch": 5,
  "maxReviewsPerListing": 300,
  "starFilter": ["1", "2"]
}
```

| Field | Description |
|---|---|
| **What to scrape** | Reviews or Listings (summary). |
| **Listing links** | ProductReview.com.au listing URLs or slugs. |
| **Search terms** | Keywords to find listings. |
| **Listings per search** | Listings taken from each search. |
| **Max reviews per listing** | 0 = as many as available. |
| **Only these star ratings** | Optional star filter. |
| **Max results** | 0 = no limit. |

### Output

#### Review example

```json
{
  "reviewId": "dc87d9a6-955c-5276-bffc-e5454712e991",
  "reviewUrl": "https://www.productreview.com.au/reviews/dc87d9a6-955c-5276-bffc-e5454712e991",
  "listingName": "Apple iPhone 15",
  "listingRating": 4.4,
  "rating": 5,
  "body": "5th iPhone purchase from Reebelo and the products have all been first class...",
  "publishedAt": "2026-08-05T04:47:54Z",
  "likes": 0,
  "verifiedPurchase": false,
  "incentivised": false,
  "purchasePrice": 700,
  "purchaseLocation": "Reebelo Australia",
  "purchaseDate": "2026-06-01",
  "detailRatings": { "Value for Money": 5, "Ease of Use": 5 },
  "photoCount": 0
}
```

#### Listing example (listings mode)

```json
{
  "name": "Dyson V8",
  "brand": "Dyson",
  "categories": ["Products", "Appliances", "Vacuum Cleaners", "Stick & Cordless Vacuum Cleaners"],
  "rating": 4.1,
  "reviewCount": 1722,
  "questionCount": 523,
  "ratingDistribution": { "1": 143, "2": 99, "3": 111, "4": 324, "5": 1045 },
  "releaseDate": "2016-08-30",
  "url": "https://www.productreview.com.au/listings/dyson-v8"
}
```

#### Output schema

| Field | Type | Description |
|---|---|---|
| `reviewId`, `reviewUrl`, `rating`, `title`, `body` | mixed | Review. |
| `publishedAt`, `modifiedAt` | string | Dates (ISO). |
| `likes`, `dislikes`, `companyReplyCount` | number | Engagement. |
| `verifiedPurchase`, `incentivised` | boolean | Trust flags. |
| `purchasePrice`, `purchaseLocation`, `purchaseDate` | mixed | Purchase details. |
| `detailRatings`, `tags` | object | Sub-ratings and tags. |
| `photoCount`, `photos` | mixed | Review photos. |
| `listingName`, `listingUrl`, `listingRating` | mixed | Listing. |

Reviewer names are not collected.

### How much does it cost?

The scraper uses **pay-per-result** pricing: a small fixed price per review or listing, with automatic discounts on higher Apify plans. See the **Pricing** tab for the exact price.

### More review data

- [Trusted Shops Scraper](https://apify.com/hipersoft/trustedshops-scraper): European shop reviews.
- [Judge.me Reviews Scraper](https://apify.com/hipersoft/judgeme-reviews-scraper): Shopify product reviews.

### FAQ

**How many reviews can I get per listing?**
Up to several thousand for large listings. For the biggest listings, use the star filter to target specific ratings.

**Can I monitor new reviews?**
Yes. Schedule the actor daily with a small "Max reviews per listing"; reviews come newest first.

**What formats can I export?**
CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

**Can I integrate it with other apps?**
Yes. The actor can be connected with almost any cloud service or web app thanks to [integrations on the Apify platform](https://apify.com/integrations). It works with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier), [Slack](https://docs.apify.com/platform/integrations/slack), [Airbyte](https://docs.apify.com/platform/integrations/airbyte), [GitHub](https://docs.apify.com/platform/integrations/github), [Google Drive](https://docs.apify.com/platform/integrations/drive) and [many more](https://apify.com/integrations), plus the [Apify API](https://docs.apify.com/api/v2), JS/Python clients and MCP. Or use [webhooks](https://docs.apify.com/platform/integrations/webhooks) to trigger an action whenever a run finishes.

**Is it legal to scrape ProductReview.com.au?**
The scraper only collects publicly visible review content and no reviewer names or contact details. You are responsible for using the data in line with the site's terms and privacy law.

### Related Actors

- [Trusted Shops Scraper](https://apify.com/hipersoft/trustedshops-scraper)
- [Judge.me Reviews Scraper](https://apify.com/hipersoft/judgeme-reviews-scraper)
- [Marktplaats & 2dehands Scraper](https://apify.com/hipersoft/marktplaats-scraper)

### Notes

Original clean-room implementation. Returns only public data. Not affiliated with ProductReview.com.au.

# Actor input Schema

## `mode` (type: `string`):

Reviews: every review of the listings. Listings: one summary row per product or business (rating, review count, star breakdown).

## `listingUrls` (type: `array`):

ProductReview.com.au listing links or slugs, e.g. https://www.productreview.com.au/listings/koala-mattress or dyson-v8.

## `searchQueries` (type: `array`):

Find listings by keyword (product, brand, business or service), e.g. robot vacuum, health insurance, Telstra.

## `maxListingsPerSearch` (type: `integer`):

How many listings to take from each search.

## `maxReviewsPerListing` (type: `integer`):

Stop after this many reviews for each listing (0 = as many as available).

## `starFilter` (type: `array`):

Optional: collect only reviews with these star ratings.

## `maxItems` (type: `integer`):

Stop after this many results in total (0 = no limit).

## `proxyConfiguration` (type: `object`):

Not needed in most cases.

## Actor input object example

```json
{
  "mode": "reviews",
  "listingUrls": [
    "https://www.productreview.com.au/listings/apple-iphone-15"
  ],
  "maxListingsPerSearch": 10,
  "maxReviewsPerListing": 200,
  "maxItems": 1000,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "listingUrls": [
        "https://www.productreview.com.au/listings/apple-iphone-15"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/productreview-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "listingUrls": ["https://www.productreview.com.au/listings/apple-iphone-15"] }

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/productreview-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 '{
  "listingUrls": [
    "https://www.productreview.com.au/listings/apple-iphone-15"
  ]
}' |
apify call hipersoft/productreview-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/productreview-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 <APIFY_API_TOKEN>` 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/g17AuNEU7TjVEbk2d/builds/JRsgvkSfl0Iq5fumH/openapi.json