Wish Category Scraper

Introduction

The Wish Category Scraper is a powerful Apify Actor designed to extract detailed product information from Wish.com based on search keywords. It leverages Playwright for reliable web scraping, ensuring high-quality data on products, prices, ratings, and more. Ideal for e-commerce professionals, researchers, and businesses seeking automated insights into Wish's marketplace.

Features

• Comprehensive Product Data: Extracts key details like product names, prices, ratings, reviews, and sales indicators for thorough analysis.
• Reliable Scraping: Uses PlaywrightCrawler for robust handling of dynamic web content, minimizing failures and ensuring data accuracy.
• Proxy Support: Integrates with Apify Proxy for residential IPs, helping bypass restrictions and maintain anonymity.
• Flexible Search: Supports keyword-based searches to target specific categories or products efficiently.
• Structured Output: Delivers clean JSON data with timestamps, making it easy to integrate into workflows or databases.
• High Performance: Optimized for speed and scalability, handling large result sets without compromising on detail.
• Error Resilience: Built-in retry mechanisms and logging for smooth operation even with network issues.

Input Parameters

Parameter	Type	Required	Description	Example
searchKeyword	string	Yes	The keyword to search for products on Wish.com. This drives the category or product discovery.	"laptop"
proxyConfiguration	object	No	Configuration for proxy servers to hide the scraper's origin and avoid IP blocks. Defaults to Apify Residential proxies.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

To run the Actor, provide the input parameters in JSON format:

{
  "searchKeyword": "laptop",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Example output in JSON format:

[
  {
    "product_id": "5ff3a38a7cb3852d735da946",
    "product_name": "Refurbished MacBook Air 11.6\" i5 128GB SSD",
    "price_local": "$349.95",
    "price_usd": 349.95,
    "currency": "USD",
    "image_url": "https://canary.contestimg.wish.com/api/webimage/5ff3a38a7cb3852d735da946-medium.jpg?cache_buster=dea0b08e88aee75b00afc94908779499",
    "product_url": "https://www.wish.com/product/5ff3a38a7cb3852d735da946",
    "merchant_id": "5aa0f9a74215957b61594c0f",
    "rating": 3,
    "review_count": 2,
    "sales_indicator": "7 bought this",
    "urgency_text": "Sold Out",
    "search_query": "laptop",
    "is_refurbished": true,
    "is_sold_out": true,
    "extra_info": {
      "wish_pick": false,
      "consignment_eligible": false,
      "video_tile": false
    },
    "timestamp_scraped": "2025-11-17T09:10:45.788Z"
  }
]

Use Cases

• Market Research: Analyze trends in product pricing, popularity, and availability for specific categories.
• Competitive Intelligence: Monitor competitors' offerings and pricing strategies on Wish.
• Price Monitoring: Track price changes and sales indicators to inform purchasing or selling decisions.
• Content Aggregation: Collect product data for blogs, comparison sites, or e-commerce platforms.
• Academic Research: Gather data on consumer goods for studies in economics or marketing.
• Business Automation: Integrate scraped data into dashboards or workflows for automated reporting.

Installation and Usage

1. Search for "Wish Category Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., search keyword and proxy settings).
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 an array of JSON objects, each representing a product. Key fields include:

• product_id: Unique identifier for the product.
• product_name: Name of the product.
• price_local and price_usd: Pricing in local currency and USD equivalent.
• rating and review_count: User ratings and number of reviews.
• sales_indicator: Text indicating sales volume (e.g., "7 bought this").
• is_refurbished and is_sold_out: Boolean flags for product status.
• extra_info: Additional metadata like Wish Pick status.
• timestamp_scraped: ISO timestamp of when the data was scraped.

This structure ensures easy parsing and integration with tools like Excel or databases.

Support

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

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

We're here to help you get the most out of this Actor!

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