Xxxlutz Scraper is a production-ready data extraction tool designed to collect detailed product information from the Xxxlutz furniture marketplace. It helps businesses and analysts monitor prices, track inventory, and analyze product listings efficiently at scale.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts structured product data from individual product pages and converts it into clean, machine-readable output. It removes the need for manual browsing and copying, enabling faster and more reliable data collection for furniture and e-commerce analysis.
- Extracts complete product details from individual listings
- Handles region-specific content reliably
- Designed for consistent data quality across large product sets
- Outputs structured data ready for analytics or storage
| Feature | Description |
|---|---|
| Product Detail Extraction | Collects name, price, description, SKU, images, and URLs accurately. |
| High-Resolution Images | Retrieves full-size product images suitable for catalogs and analysis. |
| Structured Output | Returns clean JSON objects for seamless integration. |
| Error Handling | Retries failed requests to maximize data completeness. |
| Scalable Design | Handles multiple product URLs in a single run efficiently. |
| Field Name | Field Description |
|---|---|
| product_name | Full product title including variants. |
| product_price | Price formatted in EUR. |
| product_image | Array of high-resolution image URLs. |
| product_url | Source URL of the product page. |
| description | Detailed product specifications and text. |
| sku | Unique product identifier. |
[
{
"product_name": "home24 REGAL Schwarz",
"product_price": "129 EUR",
"product_image": [
"https://media.xxxlutz.com/i/xxxlutz/sample-image.jpg"
],
"product_url": "https://www.xxxlutz.de/p/home24-regal-schwarz-000874000101",
"description": "Regal in Schwarz mit technischen Spezifikationen.",
"sku": "000874000101"
}
]
Xxxlutz Scraper/
├── src/
│ ├── runner.py
│ ├── extractors/
│ │ ├── product_parser.py
│ │ └── html_utils.py
│ ├── outputs/
│ │ └── json_exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── inputs.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- E-commerce analysts use it to monitor product prices, so they can identify pricing trends.
- Retail teams use it to track inventory listings, so they can stay competitive.
- Market researchers use it to collect structured furniture data, so they can analyze demand.
- Developers use it to build internal dashboards, so they can automate reporting.
Does this tool support multiple product URLs at once? Yes, it is designed to process multiple product pages in a single execution.
Is the extracted data structured for analytics? All outputs are delivered in a consistent JSON structure suitable for databases and BI tools.
Can the scraper handle changes in page layout? The parsing logic is modular, making it easier to update when layouts change.
What type of products does it work best with? It is optimized for furniture and home-related product listings.
Primary Metric: Processes an average product page in under 3 seconds.
Reliability Metric: Maintains a success rate above 98% across stable product pages.
Efficiency Metric: Optimized memory usage per request to handle large URL lists smoothly.
Quality Metric: Consistently returns complete product records with minimal missing fields.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
|
"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
|
"Exceptional results, clear communication, and flawless delivery. Syed
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