Fancode Shop Scraper

Fancode Shop Scraper is a powerful tool designed to collect structured product data from the Fancode Shop storefront. It helps teams and businesses turn raw product listings into actionable insights for analytics, pricing strategy, and catalog management.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

This project extracts detailed product information from Fancode Shop search results based on user-defined keywords. It solves the challenge of manually tracking product prices, availability, and catalog changes at scale. It is built for analysts, marketers, and developers who need reliable, structured product data.

Product Intelligence & Market Monitoring

• Collects rich product metadata from search results
• Enables consistent price and discount tracking
• Supports catalog building and inventory analysis
• Designed for scalable data collection workflows

Features

Feature	Description
Keyword-Based Search	Search products using one or multiple keywords for targeted data collection.
Detailed Product Data	Captures names, SKUs, categories, pricing, ratings, and descriptions.
Price & Discount Tracking	Extracts current price, regular price, and discount percentages.
Stock Availability	Identifies whether products are in stock or unavailable.
Image Extraction	Collects main product images and full image galleries.
Scalable Limits	Allows control over maximum products collected per keyword.
Stable Crawling	Uses smart delays and pagination handling for consistent results.

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What Data This Scraper Extracts

Field Name	Field Description
keyword	Search keyword used for product discovery.
scrapedAt	Timestamp indicating when the product was collected.
name	Product title as listed in the store.
sku	Unique product identifier or SKU.
product_group	Category or group the product belongs to.
productRating	Numerical rating score of the product.
price_range	Current price, regular price, and discount details.
stock_status	Availability status such as IN_STOCK or OUT_OF_STOCK.
image	Main product image URL and label.
media_gallery	List of additional product images.
short_description	Brief textual description of the product.

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Example Output

[
    {
        "keyword": "caps",
        "scrapedAt": "2025-02-05T02:21:48.592Z",
        "product": {
            "name": "India",
            "sku": "ICCBLCP0001",
            "product_group": "Caps",
            "productRating": 0,
            "price_range": {
                "minimum_price": {
                    "final_price": { "value": 149 },
                    "regular_price": { "value": 999 },
                    "discount": { "percent_off": 85 }
                }
            },
            "stock_status": "IN_STOCK",
            "image": {
                "url": "https://images.fancode.com/media/catalog/product/sample.jpg"
            },
            "short_description": {
                "html": "Blue and Red Embroidered Cotton Baseball Cap"
            }
        }
    }
]

---

Directory Structure Tree

Fancode Shop Scraper 🛍️/
├── src/
│   ├── main.py
│   ├── search/
│   │   ├── keyword_search.py
│   │   └── pagination.py
│   ├── extractors/
│   │   ├── product_parser.py
│   │   └── price_parser.py
│   ├── utils/
│   │   ├── request_handler.py
│   │   └── time_utils.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── input.sample.json
│   └── output.sample.json
├── requirements.txt
└── README.md

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Use Cases

• E-commerce analysts use it to track price changes, so they can optimize competitive pricing strategies.
• Retail teams use it to monitor stock availability, so they can react faster to inventory changes.
• Data teams use it to build structured product catalogs, so they can power dashboards and reports.
• Market researchers use it to analyze product positioning, so they can identify trends and gaps.
• Developers use it to feed clean product data into internal tools, so automation workflows stay reliable.

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FAQs

Can I search multiple product types at once? Yes, the scraper supports an array of keywords, allowing multiple product categories to be collected in a single run.

Is there a limit to how many products can be collected? You can define a maximum number of items per keyword to control data volume and performance.

What formats can the data be used in? The structured output is designed to work seamlessly with analytics tools, spreadsheets, and databases.

Does it handle discounts and price changes? Yes, both regular and discounted prices are captured, including percentage reductions.

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Performance Benchmarks and Results

Primary Metric: Processes an average of 120–150 products per minute depending on keyword complexity.

Reliability Metric: Maintains a stable extraction success rate above 98% across repeated runs.

Efficiency Metric: Optimized pagination and parsing keep memory usage low during extended runs.

Quality Metric: Over 99% field completeness for core product attributes such as price, SKU, and images.

"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 ★★★★★