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Product Reviews AU [$1💰] Listings and Reviews Scraper

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From $1/1K. 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.

Pricing

from $1.00 / 1,000 results

Rating

5.0

(1)

Developer

AbotAPI

Actor stats

Bookmarked

Total users

Monthly active users

24 days ago

Last modified

Categories

E-commerce

Lead generation

You can access the Product Reviews AU [$1💰] Listings and Reviews Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "urls": ["https://www.productreview.com.au/listings/the-lighting-outlet"],
10    "proxy": {
11        "useApifyProxy": True,
12        "apifyProxyGroups": [],
13    },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("abotapi/product-reviews-australia-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22    print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Product Reviews AU [$1💰] Listings and Reviews Scraper API in Python

The Apify API client for Python is the official library that allows you to use Product Reviews AU [$1💰] Listings and Reviews Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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