Pricing
$10.00/month + usage
Scrape and extract detailed product and business reviews from ProductReview.com.au with advanced filters, business info, and review insights. It supports location/category search, custom queries, proxy rotation, and flexible dataset outputs—ideal for research, analytics, and business intelligence.
0.0 (0)
Pricing
$10.00/month + usage
0
13
8
Last modified
3 months ago
searchQuerystringRequired
Search query to filter listings.
Default value of this property is "lighting"
limitintegerOptional
Maximum number of listings to scrape (max 100).
Default value of this property is 1
scrapeDetailsbooleanOptional
Whether to scrape detailed information from listing pages.
Default value of this property is true
locationstringOptional
Location slug to filter results (e.g., 'victoria_au', 'nsw_au').
showDiscontinuedbooleanOptional
Whether to include discontinued products/businesses.
Default value of this property is false
sortByEnumOptional
Sort order for the results.
"overview": string"ratingHighest": string"ratingLowest": string"newest": string"mostLiked": stringDefault value of this property is ""
maxDetailPagesintegerOptional
Maximum number of review pages to scrape for each listing.
Default value of this property is 5
extractReviewsbooleanOptional
Extract reviews as separate items in the dataset.
Default value of this property is false
separateReviewsDatasetbooleanOptional
Store reviews in a separate dataset.
Default value of this property is false
saveLocalFilesbooleanOptional
Save JSON output files locally in the 'output' directory.
Default value of this property is false
dev_transform_fieldsarrayOptional
Transform the resulting output. Select only needed fields. For nested object use DOT (e.g., 'statistics.rating'). For nested array use NUMBER as array index (e.g., 'categories.0.name').
Default value of this property is []
dev_dataset_namestringOptional
Save results into custom named Dataset. Use masks to customize: {ACTOR} = actor name, {DATE} = date (YYYYMMDD), {TIME} = time (HHMMSS). Example: 'data-{DATE}' will create 'data-20250517'. Use 'default' to use Apify's default dataset.
Default value of this property is "default"