ProductReview.com.au Scraper — Australian Business Listings, Reviews & Contacts

Scrape ProductReview.com.au, Australia's largest consumer review platform (millions of consumer reviews across 100,000+ products and services), for business listings, verified-purchase reviews, ratings, review text and business contact data. The extracted data powers brand reputation monitoring, competitor review analysis, customer sentiment research and Australian B2B lead generation.

Main Use Cases

• Brand reputation monitoring for Australian businesses, brands and retailers
• Competitor review analysis and market benchmarking across AU categories
• Customer sentiment analysis and AI/NLP training datasets from Australian consumer reviews
• Australian B2B lead generation with business email, phone, ABN and address
• Category market research across home builders, cars, insurance, banks, appliances and more
• Verified-purchase review filtering for trustworthy, not incentivised, insight

How It Works

You give the Actor category slugs (e.g. home-builders, car-insurance, coffee-machines), direct listing URLs (e.g. /listings/great-southern-bank) or individual review URLs. The Actor calls the same clean JSON API that the productreview.com.au frontend itself uses (api.productreview.com.au) — no browser rendering, no DOM parsing — and writes the results into two structured datasets: one for business/product Listings, one for Reviews.

On Apify you get API access, scheduling, webhooks, proxy rotation and JSON/CSV/Excel export out of the box.

Scrape ProductReview.com.au Reviews Without the Official API

ProductReview.com.au does not provide a public data API for consumers. Scraping is the only practical way to get its review data in bulk, but the website is a React/Redux SPA served behind Cloudflare. Most generic scrapers render the full HTML in a browser — slow, fragile and expensive.

This Actor takes a different route: reconnaissance of the site's frontend JavaScript revealed that the website loads its data from a clean internal JSON API. The Actor calls those endpoints directly with a realistic browser User-Agent, which makes runs faster, cheaper and far more stable than browser-based scraping:

Purpose	Endpoint
Enumerate a whole category	POST https://api.productreview.com.au/api/search/au/listings with {"routeName":"www.public.category_search","categorySlug":"<slug>",...}
Listing details + business info	GET https://api.productreview.com.au/api/au/listings/<slug>/details
Listing reviews	GET https://api.productreview.com.au/api/au/listings/<slug>/reviews?page=<n>&limit=100
Individual review	GET https://www.productreview.com.au/reviews/<id> → parse embedded __ssr_data JSON

Because it uses JSON endpoints, the Actor can also paginate through every listing in a category — while the public category pages cap results at roughly 30 per URL, the search API returns each page of up to 30 listings for as many pages as you need.

Input: Target Categories, Listings or Individual Reviews

Field	Type	Required	Default	Notes
categorySlugs	array	No	["cars"]	Category slugs to enumerate, e.g. cars, home-builders, car-insurance, coffee-machines, financial-services. All listings in each category are discovered via the internal search API.
listingUrls	array	No	["https://www.productreview.com.au/listings/great-southern-bank"]	Direct listing URLs or bare slugs to scrape business info + reviews for.
reviewUrls	array	No	[]	Individual review URLs (https://www.productreview.com.au/reviews/{reviewId}) to scrape one review at a time.
includeReviews	boolean	No	true	Also scrape each listing's reviews (title, text, rating, date, author, verified-purchase flag). Set false for business/listing data only.
maxListingsPerCategory	integer	No	50	Max listings per category (1–1,000).
maxReviewsPerListing	integer	No	100	Max reviews per listing (1–5,000).
maxItems	integer	No	500	Hard cap on total records (listings + reviews) pushed to datasets (1–100,000).
proxyConfiguration	object	No	Apify proxy AUTO	Proxy setup; keep useApifyProxy on for large category runs.

Output: Structured Listings and Reviews Datasets

The Actor writes to two named datasets — Listings (default, one record per business/product) and Reviews (one record per individual review).

Listings dataset — business & product records

Field	Type	Description
url / slug	string	Canonical listing URL and URL-friendly ID
name / fullName / shortName	string	Display name, full legal name, short name
description / shortDescription	string	Business/product blurb from the listing
rating	number	Overall star rating (0–5)
reviewCount	number	Total review count
numberOfQuestions	number	Q&A section count
ratingDistribution	array	[1★, 2★, 3★, 4★, 5★] counts
category	string	Deepest category name
categorySlugs	array	Full category path slugs
sourceCategory	string	Category slug used to discover the listing
brandName / brandUrl	string	Brand name and official website
officialLink	string	Official website URL from the listing
abn	string	Australian Business Number
email	string	Business contact email
phone	string	Business phone number
address	string	Formatted business address
openingHours	array	Weekly opening hours (from/to per day, specialConditions)
isDiscontinued	boolean	Whether the product/business is discontinued
tags	array	Listing tags

Reviews dataset — individual review records

Field	Type	Description
reviewId / url	string	Review UUID and canonical review URL
listingSlug / listingName	string	Parent listing reference
title / body	string	Review title (often null) and full review text
rating	number	Star rating (0–5)
submittedAt	string	Submission date (ISO 8601)
firstPublishedAt / modifiedAt	string	Publication and last-edit timestamps
authorName / authorId	string	Reviewer display name and ID
authorRegisteredAt / authorNumberOfReviews	string / number	Reviewer account registration date and total review count
hasVerifiedPurchase	boolean	Verified-purchase flag — the review is tied to a proof of purchase
isVerified	boolean	Review verified by the platform's moderation team
wasSolicitedByBrand / wasSolicitedByCatalog	boolean	Review solicited via the brand/catalog review program
incentivisedReview	boolean	Reviewer was offered a reward/incentive
numberOfLikes / numberOfDislikes / numberOfComments	number	Reaction and comment counts
approvalStatus	string	Moderation status (approved / pending / rejected)
visibility	string	Visibility (public / private)

Example Input

{
  "categorySlugs": ["home-builders"],
  "includeReviews": true,
  "maxListingsPerCategory": 50,
  "maxReviewsPerListing": 100,
  "maxItems": 500,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Reviews-only run for specific listings:

{
  "listingUrls": [
    "https://www.productreview.com.au/listings/metricon",
    "https://www.productreview.com.au/listings/carlisle-homes"
  ],
  "includeReviews": true,
  "maxReviewsPerListing": 500,
  "maxItems": 1000,
  "proxyConfiguration": { "useApifyProxy": true }
}

Business-contact-only run (no reviews):

{
  "listingUrls": ["great-southern-bank", "booktopia", "metricon"],
  "includeReviews": false,
  "maxItems": 200,
  "proxyConfiguration": { "useApifyProxy": true }
}

Example Output

Listing record (Listings dataset)

{
  "url": "https://www.productreview.com.au/listings/great-southern-bank",
  "slug": "great-southern-bank",
  "name": "Great Southern Bank",
  "fullName": "Great Southern Bank",
  "shortName": "Great Southern Bank",
  "shortDescription": "Formerly known as CUA (Credit Union Australia).",
  "rating": 2.4,
  "reviewCount": 976,
  "numberOfQuestions": 28,
  "ratingDistribution": [499, 55, 26, 44, 352],
  "category": "Home Loans",
  "categorySlugs": ["services", "finance", "loans", "home-loans"],
  "brandName": "Great Southern Bank",
  "brandUrl": "https://www.greatsouthernbank.com.au/",
  "officialLink": "https://www.greatsouthernbank.com.au/",
  "abn": "44087650959",
  "email": "eaccess@gsb.com.au",
  "phone": "13 32 82",
  "address": "level 27/300 George St, Brisbane City QLD 4000, Australia",
  "openingHours": [
    { "from": { "time": "0800", "dayOfWeek": "monday" }, "to": { "time": "1900", "dayOfWeek": "monday" }, "specialConditions": null }
  ],
  "isDiscontinued": false
}

Review record (Reviews dataset)

{
  "reviewId": "aefe180e-4403-53ff-aef6-98fc5221ab1b",
  "url": "https://www.productreview.com.au/reviews/aefe180e-4403-53ff-aef6-98fc5221ab1b",
  "listingSlug": "great-southern-bank",
  "listingName": "Great Southern Bank",
  "title": null,
  "body": "15 Sep 2023 - We will never ever forget or forgive what a terrible thing you did to us on this day...all because a staff member was 'offended'",
  "rating": 1,
  "submittedAt": "2026-09-15T22:05:36Z",
  "firstPublishedAt": "2026-09-15T22:39:48Z",
  "modifiedAt": "2026-09-16T07:26:23Z",
  "authorName": "Brian",
  "authorId": "c5864d38-fb7e-49d4-9df1-90495724cd25",
  "authorRegisteredAt": "2020-08-12T23:37:26Z",
  "authorNumberOfReviews": 21,
  "hasVerifiedPurchase": true,
  "isVerified": true,
  "wasSolicitedByBrand": false,
  "wasSolicitedByCatalog": false,
  "incentivisedReview": false,
  "numberOfLikes": 0,
  "numberOfDislikes": 0,
  "numberOfComments": 1,
  "approvalStatus": "approved",
  "visibility": "public"
}

Build an Australian Consumer Reviews Dataset for Market Research

Every listing row carries the full 1–5 star rating distribution, total review count, category path and (where listed) business ABN, email, phone and address. Every review row carries full text, star rating, ISO date, author and verification flags — the fields market researchers need to build dashboards, compare brands within a category, and track rating trends over time. Runs are cheap because there is no browser: a typical listing (business info + 100 reviews) costs only a few cents of platform compute plus the per-result event.

To build a category-wide dataset, put the category slug in categorySlugs and raise maxListingsPerCategory (up to 1,000) and maxReviewsPerListing (up to 5,000). The Actor paginates the search API automatically, so you get the whole category — not just the first page of results — and maxItems (up to 100,000) caps total spend.

Extract Verified-Purchase Reviews for Customer Sentiment Analysis

Not all reviews are equal. This Actor exposes two critical flags on every review row:

• hasVerifiedPurchase — the review is linked to a proof of purchase, verified by the platform's moderation team before publication.
• incentivisedReview — the reviewer was offered a reward, useful for filtering out potentially biased feedback.

For sentiment analysis, NLP pipelines and AI training datasets, these flags let you train on verified-purchase, non-incentivised reviews only — a noise filter that generic scrapers don't provide.

Find Australian Business Contacts for B2B Lead Generation

ProductReview.com.au lists thousands of Australian businesses and brands — banks, home builders, insurers, appliance brands, online shops and more. Each listing record can include the business email, phone number, ABN, physical address and opening hours, so a single run yields both reputation data and outreach-ready contact data. Set includeReviews to false for a pure business-contact dataset, then export to CSV and load straight into your CRM or lead list.

Competitive Positioning

Capability	crawlergang/productreview-au-scraper	clootrack/productreview-au-scraper	This actor
Price per 1,000 records	$4.33	$7.00	~$2.97
Verified-purchase flag on reviews	✓	not listed	✓
Incentivised-review flag on reviews	not listed	not listed	✓
Business ABN / email / phone / address	website only	website only	✓
Max records per run	1,000	—	100,000
Two clean datasets (listings + reviews)	single flat dataset	single dataset	✓

Switching from an existing ProductReview scraper? The two most common pain points we verified in the current alternatives are solved here:

Pain point in other ProductReview scrapers	How this Actor handles it
Start only from a single listing or one category page, stuck at the site's ~30 results-per-page cap	Full category enumeration via the site's internal search API — every listing in the category, paginated automatically
Business data limited to name, rating and website	Full contact block: ABN, email, phone, address, opening hours
Everything dumped into one flat dataset	Two named datasets (Listings / Reviews) with clean per-row schemas

Integrations & Automation

• Apify API — run the Actor programmatically from any language and read the datasets (/v2/acts/ahmed_jasarevic~productreview-scraper/run-sync-get-dataset-items).
• Webhooks — trigger downstream pipelines when a run finishes.
• Export — JSON, CSV, Excel, XML or RSS straight from the Apify dataset.
• Schedules — for brand reputation monitoring, run a weekly task that scrapes your brand's listing and only the newest reviews; for price/rating trend tracking, run monthly category sweeps. Recurring runs also keep the datasets fresh for dashboards and alerts.

Related Actors

• memo23/trustpilot-scraper-ppe — the most-used Trustpilot review scraper; same consumer-review dataset use cases globally.
• ahmed_jasarevic/trustpilot-reviews-scraper — Trustpilot reviews and ratings, the global counterpart to ProductReview.
• ahmed_jasarevic/consumeraffairs-reviews-scraper — ConsumerAffairs reviews and complaints, the US counterpart.
• ahmed_jasarevic/booking-com-hotel-review-scraper — hotel review and sentiment data for the travel vertical.
• ahmed_jasarevic/google-maps-business-data-scraper-free — Australian local business listings and contact data beyond review platforms.

FAQ

Why use this Actor instead of scraping the site manually? ProductReview.com.au has no public data API, limits browser scraping behind Cloudflare, and caps public category pages at roughly 30 results per URL. Manual copy-pasting of reviews doesn't scale. This Actor calls the website's own internal JSON API directly: it enumerates whole categories, extracts full review text plus the verified-purchase and incentivised flags, and returns everything as clean structured JSON — with scheduling, proxies and exports handled by Apify.

What are the alternatives to ProductReview.com.au for Australian consumer reviews? For Australian market signals, the main review ecosystems are Google Reviews, Trustpilot (which operates in Australia and is often compared head-to-head with ProductReview), ConsumerAffairs, and category-specific communities. For bulk review data from ProductReview.com.au itself, the Apify Store lists 10+ ProductReview scrapers; this Actor prices below the two most-established ones (crawlergang at ~$4.33/1K and clootrack at ~$7.00/1K for ~$2.97/1K) while adding business contact data and two clean datasets.

How do I scrape reviews for a specific business or brand on ProductReview.com.au? Paste the listing URL (e.g. https://www.productreview.com.au/listings/metricon) into listingUrls and set maxReviewsPerListing up to 5,000 to pull the full review history including the verified-purchase and incentivised flags.

Does ProductReview.com.au have an API I can use to get review data? Not a public one for consumers. ProductReview offers paid tools to businesses for collecting and syndicating their own reviews (eShop/eCommerce integrations, XML feeds for Google Shopping) — not bulk access to everyone else's reviews. To build datasets across the platform, a scraper of this kind is the standard approach.

Is scraping ProductReview.com.au legal? Scraping publicly available data for research and analysis is generally acceptable, but you are responsible for complying with the site's Terms of Service and applicable law. This Actor only accesses public pages and the site's own public-facing JSON endpoints, respects the site's rate limits, and requires no login, no CAPTCHA solving and no private credentials.

Are ProductReview.com.au reviews verified? ProductReview verifies reviews tied to a proof of purchase (the hasVerifiedPurchase flag on each review row) and its moderation team reviews submissions before publication. This Actor extracts both the verified-purchase flag and the incentivised-review flag so you can separate genuine buyer feedback from incentivised opinions in your analysis.

What categories can I scrape on ProductReview.com.au? Any category the site exposes — verified examples include cars, home-builders, project-home-builders, car-insurance, insurance, business-insurance, financial-services, appliances (e.g. coffee-machines), electronics (e.g. mobile-phones), telecommunications, food-drink and shops.

SEO Keywords

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For AI Agents & LLM Apps

Purpose: Returns structured business/product listings and individual customer reviews from ProductReview.com.au (Australia's largest consumer review platform) as JSON, in two named datasets.

Minimal working input:

{
  "listingUrls": ["https://www.productreview.com.au/listings/great-southern-bank"],
  "maxItems": 100
}

Variant — whole-category scrape:

{
  "categorySlugs": ["car-insurance"],
  "includeReviews": true,
  "maxListingsPerCategory": 50,
  "maxReviewsPerListing": 100,
  "maxItems": 500
}

Variant — business contact data only:

{
  "listingUrls": ["metricon", "booktopia"],
  "includeReviews": false,
  "maxItems": 200
}

Output fields (Listings dataset): url, slug, name, fullName, shortName, description, shortDescription, rating, reviewCount, numberOfQuestions, ratingDistribution, category, categorySlugs, sourceCategory, brandName, brandUrl, officialLink, abn, email, phone, address, openingHours, isDiscontinued, tags Output fields (Reviews dataset): reviewId, url, listingSlug, listingName, title, body, rating, submittedAt, firstPublishedAt, modifiedAt, authorName, authorId, authorRegisteredAt, authorNumberOfReviews, hasVerifiedPurchase, isVerified, wasSolicitedByBrand, wasSolicitedByCatalog, incentivisedReview, numberOfLikes, numberOfDislikes, numberOfComments, approvalStatus, visibility

Behaviors an agent should know:

• All three input modes — categorySlugs, listingUrls, reviewUrls — are processed together in one run as a union; there is no mode-priority order.
• maxItems (default 500, max 100,000) caps the total number of records across both datasets — listings and reviews both count toward it. Set it explicitly to control run cost.
• includeReviews defaults to true; set to false to get listing/business data only (much cheaper).
• Proxy: keep useApifyProxy: true (works with no further configuration). If you set apifyProxyGroups, the group must be one your Apify account actually has access to (e.g. DATACENTER requires a proxy add-on).
• maxReviewsPerListing default 100, max 5,000; maxListingsPerCategory default 50, max 1,000.
• Free Apify accounts are capped at 10 records per run — for unlimited runs the caller needs a paid Apify plan.
• Bare listing slugs ("metricon") work exactly like full listing URLs.

Billing: Pay-per-result — each record pushed to either dataset is billed ~US$0.00297 (≈$2.97 per 1,000 records), plus a small per-GB actor-start event. No browser compute, so runs are cheap.

Legal & Compliance Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by ProductReview.com.au Pty Ltd or any business listed on productreview.com.au.

The Actor accesses only publicly available data through productreview.com.au's public-facing web pages and the public JSON endpoints the website itself uses — it does not bypass login walls, doesn't solve CAPTCHAs, and doesn't use private credentials. It respects the site's rate limits.

You are responsible for complying with the productreview.com.au Terms of Service and applicable law when using the extracted data. Review records contain public reviewer display names; treat any personal data in the output responsibly. The listings dataset may include business contact details (email, phone, ABN, address) — do not use these for unsolicited commercial outreach in violation of applicable law (e.g. the Australian Spam Act 2003, or CAN-SPAM/GDPR where they apply). This section is not legal advice.