A fast, reliable Pull&Bear scraper that extracts structured product data from the official website across all countries and languages. It helps teams turn complex product pages into clean, analysis-ready datasets for research, pricing, and catalog intelligence.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project collects detailed product information from Pull&Bear’s online store and organizes it into a consistent, machine-readable format. It solves the problem of manually browsing or copying product data by automating collection at scale. It’s built for developers, analysts, and e-commerce teams who need accurate fashion product data without the noise.
- Works across all localized versions of the Pull&Bear website
- Supports full-site, category-level, or single-product extraction
- Returns deduplicated products even when items appear in multiple categories
- Outputs structured JSON suitable for analytics or exports
- Designed for stable runs on large catalogs
| Feature | Description |
|---|---|
| Multi-country support | Scrapes Pull&Bear websites across all regions and languages. |
| Flexible entry points | Start from homepage, category pages, or individual products. |
| Deep product parsing | Extracts pricing, variants, materials, care, and traceability. |
| Deduplication logic | Prevents duplicate products across overlapping categories. |
| Flat + nested data | Provides summary fields and detailed variant structures. |
| Scalable performance | Handles large catalogs with predictable runtime behavior. |
| Field Name | Field Description |
|---|---|
| id | Unique product identifier. |
| name | Product name as displayed on the website. |
| description | Short product description. |
| longDescription | Detailed product description text. |
| price | Current product price. |
| oldPrice | Original price before discount, if available. |
| colors | Comma-separated list of available colors. |
| sizes | Comma-separated list of available sizes. |
| category | Product category path. |
| mainImage | Primary product image URL. |
| images | Full image gallery per color variant. |
| availabilityDate | First availability date of the product. |
| composition | Material composition breakdown. |
| care | Washing and care instructions. |
| sustainability | Sustainability and recycled material indicators. |
| certifiedMaterials | Certification details for materials used. |
| traceability | Manufacturing and production country data. |
| productPage | Direct URL to the product page. |
[
{
"id": 677318356,
"name": "High neck jumper",
"price": 799,
"oldPrice": 2999,
"colors": "Ecru/Black, Blue Marl",
"sizes": "XS, S, M, L",
"category": "woman/sale/favourites-n7254",
"mainImage": "https://static.pullandbear.net/assets/public/7606/4625/2adf454bbde5/51bc4484a8a5/03558305070-A8M.jpg",
"productPage": "https://www.pullandbear.com/gb/high-neck-jumper-l03558305",
"composition": [
{ "material": "polyester", "percentage": "88%" },
{ "material": "acrylic", "percentage": "11%" },
{ "material": "elastane", "percentage": "1%" }
]
}
]
Pull&Bear/
├── src/
│ ├── main.py
│ ├── fetcher/
│ │ ├── http_client.py
│ │ └── retry_handler.py
│ ├── parsers/
│ │ ├── product_parser.py
│ │ ├── category_parser.py
│ │ └── variants_parser.py
│ ├── utils/
│ │ ├── deduplicator.py
│ │ └── normalizer.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- E-commerce analysts use it to monitor product availability and pricing, so they can track trends accurately.
- Market researchers use it to study fashion assortments, so they can compare brands at scale.
- Data teams use it to populate internal catalogs, so downstream systems stay consistent.
- Retail strategists use it to analyze discounts and sales patterns, so they can optimize campaigns.
Does this scraper support all Pull&Bear regions? Yes. It works across different countries and languages, as long as the website structure is available.
Can I scrape only a single product or category? Absolutely. You can target a full site, specific categories, or individual product pages.
Why might results be fewer than requested? Some products shown on the website are placeholders or color duplicates. These are filtered to ensure clean data.
Is the output suitable for spreadsheets? Yes. Key fields are flattened for easy CSV export, while detailed variant data remains nested for advanced use.
Primary Metric: Processes roughly 1,000 products in about 5 minutes under typical conditions.
Reliability Metric: High completion rate with automatic handling of transient access blocks.
Efficiency Metric: Optimized network usage keeps runtime and data transfer costs low.
Quality Metric: Returns complete, deduplicated product records with consistent field naming across runs.
"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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