Stio Scraper extracts structured apparel product data from the Stio online store, turning complex catalog pages into clean, usable datasets. It helps teams monitor pricing, analyze products, and track market changes with reliable, repeatable data collection.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for stio-scraper you've just found your team — Let’s Chat. 👆👆
This project collects product information from Stio’s e-commerce catalog and converts it into structured data for analysis and automation. It solves the problem of manually tracking apparel listings, prices, and product details across a growing catalog. It is designed for analysts, developers, and businesses that need accurate apparel data for insights and decision-making.
- Extracts structured product and pricing data at scale
- Handles modern Shopify-based storefront layouts
- Produces analysis-ready outputs for tools and pipelines
- Supports repeatable runs for ongoing monitoring
| Feature | Description |
|---|---|
| Product data extraction | Collects names, prices, variants, and descriptions accurately. |
| Pricing monitoring | Tracks current prices for comparison and trend analysis. |
| Variant support | Captures size, color, and availability information. |
| Structured outputs | Delivers clean, machine-readable data for downstream use. |
| Scalable runs | Designed to handle multiple products efficiently. |
| Field Name | Field Description |
|---|---|
| product_name | The full name of the apparel product. |
| product_url | Direct link to the product page. |
| price | Current listed price of the item. |
| currency | Currency used for pricing. |
| variants | Available sizes, colors, or styles. |
| availability | Stock or availability status. |
| description | Detailed product description text. |
| images | Product image URLs. |
| category | Product category or collection. |
[
{
"product_name": "Men's Environ Jacket",
"product_url": "https://www.stio.com/products/mens-environ-jacket",
"price": 329.00,
"currency": "USD",
"availability": "In Stock",
"variants": [
{ "size": "M", "color": "Black" },
{ "size": "L", "color": "Navy" }
],
"category": "Men / Jackets",
"images": [
"https://cdn.stio.com/images/environ-jacket-front.jpg"
]
}
]
Stio Scraper/
├── src/
│ ├── main.py
│ ├── crawler/
│ │ ├── product_crawler.py
│ │ └── pagination.py
│ ├── parsers/
│ │ ├── product_parser.py
│ │ └── variant_parser.py
│ ├── utils/
│ │ └── helpers.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- E-commerce analysts use it to track apparel prices so they can identify pricing trends and changes.
- Retail teams use it to monitor product availability so they can manage inventory insights.
- Market researchers use it to collect product catalogs so they can compare brands and categories.
- Developers use it to feed structured apparel data into dashboards and internal tools.
Does this scraper support product variants like size and color? Yes, it extracts available variants such as sizes and colors when they are present on the product page.
Can the data be reused in spreadsheets or analytics tools? Yes, the output is structured and ready for use in spreadsheets, databases, or analytics pipelines.
Is this suitable for regular price monitoring? It is designed for repeatable runs, making it suitable for ongoing price and product tracking.
Primary Metric: Processes an average product page in under 2 seconds.
Reliability Metric: Maintains a success rate above 98% on standard catalog pages.
Efficiency Metric: Handles hundreds of product URLs per run with stable memory usage.
Quality Metric: Delivers high data completeness with consistent field extraction across products.
"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
|