Gaiam Scraper collects structured product information from gaiam.com, turning raw storefront pages into clean, usable data. It helps teams track products, prices, and availability so they can make faster, data-driven decisions in the fitness e-commerce space.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts detailed product data from Gaiam’s online store and converts it into structured datasets ready for analysis or integration. It solves the challenge of manually monitoring product catalogs by automating data collection at scale. It is designed for developers, analysts, and growth teams working with fitness and wellness product data.
- Crawls product listing and detail pages in a consistent, repeatable way
- Normalizes pricing, variants, and availability into structured fields
- Supports large catalogs without manual intervention
- Produces analysis-ready output suitable for reports and dashboards
| Feature | Description |
|---|---|
| Product Catalog Crawling | Extracts complete product listings from multiple categories. |
| Price & Availability Tracking | Captures current prices, discounts, and stock status. |
| Variant Extraction | Collects size, color, or bundle variations where available. |
| Media Collection | Retrieves product images and media URLs for reuse. |
| Structured Output | Delivers clean, normalized data ready for analytics pipelines. |
| Field Name | Field Description |
|---|---|
| product_id | Unique identifier for the product. |
| name | Official product name as listed on the store. |
| category | Product category or collection. |
| price | Current listed price of the product. |
| currency | Currency code associated with the price. |
| availability | Stock or availability status. |
| description | Full product description text. |
| images | Array of product image URLs. |
| product_url | Direct link to the product page. |
[
{
"product_id": "GYM-10234",
"name": "Premium Yoga Mat",
"category": "Yoga Mats",
"price": 79.99,
"currency": "USD",
"availability": "In Stock",
"description": "High-density, non-slip yoga mat designed for stability and comfort.",
"images": [
"https://www.gaiam.com/images/products/yoga-mat-1.jpg",
"https://www.gaiam.com/images/products/yoga-mat-2.jpg"
],
"product_url": "https://www.gaiam.com/products/premium-yoga-mat"
}
]
Gaiam Scraper/
├── src/
│ ├── main.py
│ ├── crawler/
│ │ ├── product_list.py
│ │ └── product_detail.py
│ ├── parsers/
│ │ └── product_parser.py
│ ├── utils/
│ │ └── helpers.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── requirements.txt
└── README.md
- E-commerce analysts use it to monitor product pricing, so they can detect trends and adjust strategies faster.
- Market researchers use it to study fitness product assortments, enabling better competitive insights.
- Retail teams use it to track stock availability, helping reduce missed sales opportunities.
- Developers use it to feed structured product data into dashboards or internal tools.
Can this handle large product catalogs? Yes, the scraper is designed to process large catalogs efficiently while maintaining consistent data structure.
Does it support product variants like sizes or colors? Where available on the product page, variants are extracted and included in the output data.
Is the output easy to integrate with other systems? The data is structured in a clean JSON format, making it straightforward to integrate with databases, analytics tools, or APIs.
How often should the scraper be run? This depends on how frequently product prices or availability change; many users run it daily or weekly for monitoring.
Primary Metric: Average processing rate of ~120 product pages per minute under standard conditions.
Reliability Metric: Over 99% successful page processing across repeated catalog runs.
Efficiency Metric: Optimized crawling minimizes redundant requests, reducing resource usage per product.
Quality Metric: High data completeness with consistent field coverage across product categories.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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