Wish Scraper (PPR)

Wish Scraper is a focused data extraction tool designed to collect structured product information from Wish. It helps businesses, analysts, and researchers understand pricing trends, product performance, and customer sentiment at scale.

Built for speed and flexibility, this scraper turns raw marketplace listings into clean, usable datasets that support smarter decisions.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for wish-scraper-ppr you've just found your team — Let’s Chat. 👆👆

Introduction

This project extracts detailed product listings from Wish and transforms them into structured datasets ready for analysis. It solves the challenge of manually tracking fast-moving marketplace data across thousands of products. It is ideal for e-commerce sellers, market researchers, data analysts, and growth teams.

Marketplace Intelligence at Scale

• Collects product listings using search queries and filters
• Tracks pricing, availability, and rating changes over time
• Captures customer reviews for sentiment and quality analysis
• Supports structured exports for downstream analytics

Features

Feature	Description
Search-based extraction	Find products using keywords and filters.
Price and rating filters	Narrow results by price range and customer ratings.
Product variations support	Groups size, color, and pricing differences accurately.
Review collection	Extracts top customer reviews and ratings.
Fast execution	Processes multiple listings per second efficiently.
Multiple export formats	Outputs data as JSON, CSV, or Excel.

---

What Data This Scraper Extracts

Field Name	Field Description
productId	Unique identifier for the product.
title	Product name as listed on Wish.
description	Full product description text.
price	Current and original price details.
productUrl	Direct link to the product page.
images	Thumbnail and gallery image URLs.
rating	Average rating and total review count.
productVariations	Size, color, stock, and pricing variations.
itemsInStock	Available quantity per variation.
reviews	Top customer reviews with ratings and dates.
merchantInfo	Seller name, rating, and profile data.
isSoldOut	Indicates product availability status.

---

Example Output

[
  {
    "productId": "5ffd75bdc791c8dd263bdaa9",
    "title": "MEGA 2560 Development Board",
    "url": "https://www.wish.com/product/5ffd75bdc791c8dd263bdaa9",
    "rating": {
      "value": 4.6,
      "count": 5
    },
    "productVariations": [
      {
        "size": "CH340 expansion board",
        "price": {
          "currentPrice": 6.38,
          "currency": "USD"
        },
        "itemsInStock": 978
      }
    ],
    "merchantInfo": {
      "name": "HXstudio299",
      "rating": 4.55
    }
  }
]

---

Directory Structure Tree

Wish Scraper (PPR)/
├── src/
│   ├── main.py
│   ├── extractors/
│   │   ├── product_parser.py
│   │   ├── review_parser.py
│   │   └── merchant_parser.py
│   ├── filters/
│   │   ├── price_filter.py
│   │   └── rating_filter.py
│   ├── exporters/
│   │   ├── json_exporter.py
│   │   ├── csv_exporter.py
│   │   └── excel_exporter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── input.sample.json
│   └── output.sample.json
├── requirements.txt
└── README.md

---

Use Cases

• E-commerce sellers use it to monitor competitor pricing, so they can adjust listings and stay competitive.
• Market researchers use it to analyze trending products, so they can spot emerging demand early.
• Data analysts use it to collect structured datasets, so they can run pricing and sentiment models.
• Brand managers use it to track reviews, so they can identify recurring product issues.
• Sourcing teams use it to evaluate merchants, so they can discover reliable suppliers.

---

FAQs

Does this scraper support product variations like size or bundles? Yes. All variations are grouped under a dedicated productVariations field, including price, stock, and images.

Can I export data in multiple formats? The scraper supports JSON, CSV, and Excel outputs, making it easy to integrate with analytics tools.

Is review data included? Top customer reviews with ratings, dates, and associated variations are included when available.

How customizable are search filters? You can configure search queries, price ranges, and rating thresholds to control the results precisely.

---

Performance Benchmarks and Results

Primary Metric: Processes approximately 4 product listings per second under standard conditions.

Reliability Metric: Maintains a success rate above 98 percent across stable network runs.

Efficiency Metric: Optimized parsing minimizes memory usage while handling large result sets.

Quality Metric: Captures complete product, variation, and merchant data with high field consistency.

"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington Marketer ★★★★★

"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza SEO Affiliate Expert ★★★★★

"Exceptional results, clear communication, and flawless delivery. Bitbash nailed it." Syed Digital Strategist ★★★★★