The my-jewels.com Scraper is a powerful data extraction tool designed to collect structured product information and pricing from the my-jewels.com online store. It helps businesses, analysts, and developers gain actionable insights from clothing accessories data with speed and reliability.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for my-jewels-com-scraper you've just found your team — Let’s Chat. 👆👆
This project extracts detailed product and pricing data from my-jewels.com in a clean, structured format. It solves the challenge of manually tracking product catalogs, price changes, and market trends. It is built for e-commerce teams, data analysts, and developers who need reliable product intelligence.
- Collects structured product listings from a live online catalog
- Standardizes product and pricing data for downstream use
- Supports large-scale product tracking and monitoring
- Enables competitive and market research workflows
| Feature | Description |
|---|---|
| Product Extraction | Retrieves detailed product information from listings |
| Price Monitoring | Captures current pricing for accurate comparison |
| Structured Output | Outputs clean, analysis-ready structured data |
| Scalable Crawling | Designed to handle large product catalogs efficiently |
| Market Insights | Enables trend analysis and competitive research |
| Field Name | Field Description |
|---|---|
| product_id | Unique identifier for the product |
| product_name | Name of the clothing accessory |
| product_url | Direct link to the product page |
| price | Current listed product price |
| currency | Currency used for pricing |
| availability | Stock or availability status |
| category | Product category or collection |
| images | List of product image URLs |
| description | Detailed product description |
my-jewels.com Scraper/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── product_parser.py
│ │ └── pagination.py
│ ├── utils/
│ │ └── helpers.py
│ └── config/
│ └── settings.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- E-commerce managers use it to track product pricing, so they can adjust strategies competitively.
- Market researchers use it to analyze accessory trends, enabling data-driven insights.
- Retail analysts use it to monitor catalog changes, improving forecasting accuracy.
- Developers use it to feed product data into dashboards or internal tools.
Q: What type of products does this scraper collect? It focuses on clothing accessories available on my-jewels.com, including product details and prices.
Q: Can the extracted data be used in spreadsheets or databases? Yes, the structured output is suitable for spreadsheets, databases, and analytics pipelines.
Q: Is this suitable for large product catalogs? The scraper is designed to scale efficiently and handle extensive product listings.
Primary Metric: Processes hundreds of product pages per hour under normal conditions.
Reliability Metric: Maintains a high success rate with consistent data extraction accuracy.
Efficiency Metric: Optimized requests minimize resource usage while maintaining throughput.
Quality Metric: Delivers highly complete product records with consistent field coverage.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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