Wish Scraper (PPR)

Overview

The Wish Scraper is an Apify actor that extracts product data from Wish.com. It allows you to search for products and apply basic filters, outputting structured data for analysis. The tool is designed for speed and cost-efficiency.

Key Features

• Search & Filter: Scrape products based on a search query. Apply filters for price and minimum rating.
• Fast Performance: Processes approximately 4 results per second.
• Flexible Output: Export data in CSV, JSON, or Excel formats.
• Comprehensive Data: Extracts a wide range of product and merchant details.

How to Use

1. Input: Provide a search query (e.g., "wireless headphones") in the actor's input configuration.
2. Configure Filters (Optional): Set minimum/maximum price or a minimum product rating to narrow results.
3. Run: Start the actor. It will navigate Wish.com, execute the search, apply your filters, and extract the data.
4. Output: Download the collected dataset from the Apify platform in your preferred format.

Input/Output

Input Configuration:
* searchQuery: (Required) The term to search for on Wish.com.
* minPrice / maxPrice: (Optional) Filter products by price range.
* minRating: (Optional) Filter products by minimum star rating.

Output Data:
The actor extracts detailed information for each product, including:
* productId, title, url, description
* price, images, rating, itemsInStock
* merchantInfo, soldOut status, weight
* productVariations: A crucial field containing grouped data for product options (like size/color) which affect price and other attributes.
* reviews: Customer review data.

Example Output Snippet:

[
  {
    "productId": "5ffd75bdc791c8dd263bdaa9",
    "title": "MEGA 2560 Development Board...",
    "url": "https://www.wish.com/product/5ffd75bdc791c8dd263bdaa9",
    "price": 19.99,
    "rating": 4.5,
    "productVariations": [
      {
        "variation": "CH340 Board",
        "price": 18.50
      },
      {
        "variation": "MEGA 2560 Board",
        "price": 22.99
      }
    ]
  }
]

For a full output example, refer to the dataset preview in the Apify console after a run.