B&M Stores Scraper is a data extraction tool designed to collect structured product and store-related information from bmstores.co.uk. It helps teams turn publicly available retail listings into clean, usable data for analysis, monitoring, and decision-making.

Built for reliability and clarity, this project focuses on delivering consistent product data from a major UK retailer in a format that’s easy to integrate into analytics workflows.

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts product and catalog data from B&M Stores’ online presence. It solves the problem of manually tracking fast-changing retail products and pricing. It’s ideal for analysts, developers, and e-commerce teams who need structured retail data.

• Targets large-scale UK variety retail listings
• Handles frequently updated product catalogs
• Normalizes pricing and availability information
• Outputs data ready for analytics or reporting
• Designed for repeatable, automated runs

[
  {
    "product_name": "Garden Storage Box",
    "product_url": "https://www.bmstores.co.uk/products/garden-storage-box",
    "price": "£39.99",
    "category": "Garden & Outdoor",
    "availability": "In stock",
    "image_url": "https://www.bmstores.co.uk/images/storage-box.jpg"
  }
]

B&M Stores Scraper/
├── src/
│   ├── runner.py
│   ├── collectors/
│   │   ├── product_collector.py
│   │   └── category_parser.py
│   ├── processors/
│   │   └── data_normalizer.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── requirements.txt
└── README.md

• E-commerce analysts use it to track B&M product prices, so they can identify pricing trends.
• Market researchers use it to analyze category distributions, so they can understand retail focus areas.
• Data teams use it to build retail datasets, so they can feed dashboards and reports.
• Developers use it to integrate retail data into internal tools, so they can automate insights.

Does this scraper track all B&M products? It targets publicly available online listings and categories. Coverage depends on what is visible on the site at runtime.

Can the output be used in spreadsheets or databases? Yes, the structured output is suitable for spreadsheets, databases, and analytics pipelines.

How often can it be run? It’s designed for repeatable runs and can be scheduled as frequently as needed based on data update requirements.

Does it handle catalog changes? The scraper is built to adapt to common listing changes, but major site redesigns may require updates.

Primary Metric: Processes several hundred product listings per minute under standard conditions.

Reliability Metric: Maintains a high success rate across repeated runs with consistent data structure.

Efficiency Metric: Optimized requests minimize unnecessary page loads and reduce runtime.

Quality Metric: High data completeness with accurate product names, prices, and categories across listings.

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