Woolsworth Reviews Scraper

Introduction

The Woolsworth Reviews Scraper is an Apify Actor designed to extract customer reviews from Woolworths product pages efficiently and reliably. It automates the collection of review data, including ratings, comments, and user details, enabling businesses and researchers to gain valuable insights into product performance and customer sentiment. This tool is ideal for market analysis, competitive intelligence, and data-driven decision-making.

Features

• Comprehensive Review Extraction: Scrapes detailed review information such as ratings, text, dates, and reviewer profiles from Woolworths product pages.
• Customizable Limits: Set maximum items to scrape, allowing control over data volume and processing time.
• Proxy Support: Utilizes residential proxies to avoid IP blocks and ensure uninterrupted scraping.
• High Reliability: Built with robust error handling to manage dynamic web changes and network issues.
• Fast and Scalable: Leverages Apify's infrastructure for quick, parallel processing of multiple URLs.
• Data Quality Assurance: Filters out irrelevant data and ensures structured, clean output.
• Easy Integration: Outputs data in JSON format, compatible with various analytics tools and databases.

Input Parameters

Parameter	Type	Required	Description	Example
urls	array	Yes	List of Woolworths product URLs to scrape reviews from. Each URL should point to a product details page.	["https://www.woolworths.com.au/shop/productdetails/826738/smith-s-crinkle-cut-potato-chips-salt-vinegar"]
item_limit	integer	No	The maximum number of review items to scrape per URL. Helps control output size and processing time.	30
proxyConfiguration	object	No	Configuration for proxy servers to mask the scraper's IP address and prevent blocking. Uses Apify's residential proxies by default.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Input JSON

{
  "urls": [
    "https://www.woolworths.com.au/shop/productdetails/826738/smith-s-crinkle-cut-potato-chips-salt-vinegar"
  ],
  "item_limit": 30,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output JSON

[
  {
    "productName": "Smith's Crinkle Cut Potato Chips Salt Vinegar",
    "reviewId": "12345",
    "rating": 5,
    "reviewText": "These chips are delicious! Perfect balance of salt and vinegar.",
    "reviewerName": "John Doe",
    "reviewDate": "2023-10-01",
    "helpfulVotes": 10
  },
  {
    "productName": "Smith's Crinkle Cut Potato Chips Salt Vinegar",
    "reviewId": "12346",
    "rating": 4,
    "reviewText": "Great taste, but a bit too salty for my liking.",
    "reviewerName": "Jane Smith",
    "reviewDate": "2023-09-28",
    "helpfulVotes": 5
  }
]

Use Cases

• Market Research: Analyze customer feedback to identify trends in product preferences and satisfaction levels.
• Competitive Intelligence: Compare reviews across similar products to benchmark performance.
• Price Monitoring: Track review sentiments alongside pricing data for dynamic pricing strategies.
• Content Aggregation: Collect and aggregate reviews for content creation, such as blog posts or reports.
• Academic Research: Gather data for studies on consumer behavior and product reviews.
• Business Automation: Automate review monitoring for e-commerce platforms to respond to customer feedback promptly.

Installation and Usage

1. Search for "Woolsworth Reviews Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The Actor outputs data in JSON format as an array of objects. Each object represents a single review and includes fields such as productName (string), reviewId (string), rating (integer, 1-5), reviewText (string), reviewerName (string), reviewDate (string in YYYY-MM-DD format), and helpfulVotes (integer). This structured format ensures easy parsing and integration with other tools.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

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