Wish Reviews

Introduction

Wish Reviews is an Apify Actor designed to scrape and extract detailed customer reviews from Wish.com, a popular e-commerce platform. It leverages PlaywrightCrawler for reliable data collection, enabling users to gather insights into product feedback, ratings, and user sentiments. This tool is ideal for businesses, researchers, and analysts seeking to analyze market trends, monitor product performance, and make data-driven decisions.

Features

• Comprehensive Review Extraction: Captures full review details including ratings, comments, user info, and timestamps.
• High Reliability: Uses Playwright for robust web scraping, handling dynamic content and anti-bot measures.
• Customizable Inputs: Supports multiple start URLs for targeted scraping of specific products or feeds.
• Proxy Integration: Includes built-in proxy configuration for anonymous and efficient data retrieval.
• Structured Output: Delivers clean, JSON-formatted data ready for analysis or integration.
• Scalable Performance: Optimized for handling large volumes of reviews without rate limiting issues.
• Data Quality Assurance: Ensures accurate extraction of fields like upvotes, photos, and user metadata.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	URLs to start scraping reviews from. Supports Wish feed or product pages.	[{"url": "https://www.wish.com/feed/tabbed_feed_latest?position=1"}]
proxyConfiguration	object	No	Configures proxy servers for hiding the scraper's origin. Defaults to Apify's residential proxies.	{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

Input JSON

{
  "startUrls": [
    {
      "url": "https://www.wish.com/feed/tabbed_feed_latest?position=1"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output JSON

[
  {
    "review_id": "69b2beef5b68930fd07d3ac9",
    "product_id": "6856860502b5d518d4c17284",
    "variation_id": "6856860502b5d518d4c17285",
    "merchant_id": "58880c3fe8fb654cbecd3890",
    "rating": 5,
    "is_recommended": null,
    "title": null,
    "comment": "Boa luz muito bom.obrigado",
    "size": "As Shown",
    "color": null,
    "date": "March 12, 2026",
    "timestamp": "2026-03-12T13:26:07+00:00",
    "timestamp_ms": 1773321967000,
    "user_id": "5b9fa91e34157d5f16774d9d",
    "user_name": "Humberto Encarnação",
    "user_short_name": "Humberto",
    "user_country_code": "PT",
    "user_locale": "pt",
    "author_total_reviews": 77,
    "author_uploads": 2,
    "has_photos": true,
    "photo_count": 0,
    "has_video": false,
    "video_count": 0,
    "upvote_count": 1,
    "downvote_count": 0,
    "user_upvoted": false,
    "user_downvoted": false,
    "is_blocked": false,
    "is_sponsored": false,
    "is_wish_star_rating": false
  }
]

Use Cases

• Market Research: Analyze customer sentiments to identify trending products and preferences.
• Competitive Intelligence: Monitor competitors' product reviews for strategic insights.
• Price Monitoring: Track feedback on pricing and value for dynamic pricing strategies.
• Content Aggregation: Collect reviews for content creation, blogs, or social media.
• Academic Research: Study consumer behavior and e-commerce trends.
• Business Automation: Automate review collection for dashboards or reporting tools.

Installation and Usage

1. Search for "Wish Reviews" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., start URLs 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 a JSON array of review objects. Each object includes fields like review_id, rating, comment, user_name, timestamp, and metadata such as upvote_count and has_photos. This structured format ensures easy parsing and integration with tools like Excel or databases. Timestamps are provided in both human-readable and millisecond formats for flexibility.

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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