ProductReview.com.au Scraper

What ProductReview.com.au Scraper can do

• Two ways to find listings. Filter mode picks a category plus location, sort and discontinued filters (type a plain name like 'Air Fryers'/'Victoria', or a raw site slug, either works). URL mode pastes explicit search, category or listing links, every shape the site has. No need to build URLs by hand.
• Two output shapes. Listings output emits one row per listing with up to 10 preview reviews embedded. Reviews output emits one row per review with a pointer back to its listing. For listings and reviews from a single pass, keep Listings output and open the Listing reviews view in the Output tab (or ?view=listing-reviews on the dataset items API): it unwinds each listing's embedded reviews[] into one table row per review.
• Full company profile. Contact details, address, opening hours, description, FAQs and specifications come alongside the rating and review count.
• Full review detail. Rating, verified purchase flag, attached images, and any replies from the company or other users.
• Multi-URL in one run. Mix category pages, search pages and direct listing links in the same list. Each is auto-routed by its own shape.
• Built for schedules. Incremental mode tracks a search or URL list run after run and returns only what is new, updated or reappeared.

Choose what to collect

These inputs let you configure ProductReview.com.au Scraper - Products, Businesses & Reviews. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "id": "00000000-0000-0000-0000-000000000001",
  "name": "Sample Lighting Co.",
  "slug": "sample-lighting-co",
  "detailsUrl": "https://www.productreview.com.au/listings/sample-lighting-co",
  "brand": {
    "id": null,
    "name": "Sample Brand",
    "slug": "sample-brand",
    "url": "https://example.com",
    "isManaged": false
  },
  "contact": {
    "email": "support@example.com",
    "phone": "+61000000000",
    "website": "https://example.com"
  },
  "categories": [
    {
      "name": "Lighting Shops",
      "level": "leaf",
      "hook": null,
      "ancestors": []
    }
  ],
  "locations": [
    {
      "name": "Victoria",
      "shortName": "VIC",
      "slug": "victoria_au",
      "level": "state"
    }
  ],
  "statistics": {
    "rating": 4.5,
    "numberOfReviews": 1234,
    "numberOfQuestions": 12,
    "ratingDistribution": [
      700,
      300,
      100,
      80,
      54
    ]
  },
  "isDiscontinued": false,
  "featuredReview": null,
  "highlightedReviews": [],
  "address": {
    "streetAddress": "Sample St",
    "suburb": "Sample Suburb",
    "state": "VIC",
    "postcode": "0000",
    "country": "Australia",
    "formatted": "Sample St, Sample Suburb, VIC 0000, Australia"
  },
  "businessHours": null,
  "description": "Full company description appears here.",
  "faqs": [],
  "specifications": {},
  "logoUrl": "https://cdn.productreview.com.au/resize/brand-logo/00000000",
  "pictureUrl": "https://cdn.productreview.com.au/resize/listing/00000000",
  "pictures": [],
  "createdAt": "2020-01-01T00:00:00.000Z",
  "totalReviews": 1234,
  "reviewPages": 42,
  "pagesScraped": 1,
  "reviews": [],
  "scrapedAt": "2026-01-01T00:00:00.000Z"
}

Ways to use this data

• Reputation management teams: monitor new and updated reviews for your own company listing on a recurring schedule.
• Consumer research and comparison sites: pull ratings, review counts and company profiles across a whole category.
• Data science and NLP teams: build labeled sentiment or topic datasets from review text, ratings and verified purchase flags.
• Marketing and competitor analysis: track a competitor's rating trend and recent review volume over time.
• Company owners: export every review and reply for a single listing for reporting outside the site.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor