A fast, reliable scraper built to extract structured product data from Aloyoga’s US website. It automates browser interactions, handles dynamic pages, and delivers clean datasets ready for analysis, research, or automation workflows.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project provides a high-performance scraper designed to extract product information from aloyoga.com. It solves the challenge of collecting structured data from a JavaScript-heavy ecommerce site that requires rendering, pagination handling, and robust navigation. It is ideal for ecommerce analysts, market researchers, automation engineers, and data-driven businesses.
- Handles dynamic web pages by executing JavaScript via headless browser automation.
- Efficiently extracts structured product data at scale.
- Provides proxy support to minimize request blocking.
- Designed for parallelized crawling for faster throughput.
- Flexible routing structure for customizing page handlers.
| Feature | Description |
|---|---|
| Headless Browser Crawling | Renders dynamic content and JavaScript-heavy pages for accurate data extraction. |
| Parallel Processing | Crawls multiple pages concurrently to speed up large-scale data collection. |
| Proxy Support | Uses rotating proxies to avoid IP blocking and improve stability. |
| Custom Routing | Add custom handlers for category, listing, or product detail pages. |
| Structured Dataset Output | Extracted data is saved in consistent, machine-readable format. |
| Configurable Input Schema | Users can define start URLs, limits, and proxy settings. |
| Field Name | Field Description |
|---|---|
| url | Final loaded URL of the crawled page. |
| title | The title of the extracted product/page. |
| price | Product price extracted from structured page elements. |
| images | Array of image URLs for the product. |
| description | Full product description text. |
| category | Category or collection to which the product belongs. |
| sku | Unique product SKU or identifier. |
| availability | Stock status of the item. |
[
{
"url": "https://www.aloyoga.com/products/alosoft-hoodie",
"title": "Alosoft Hoodie",
"price": "$98",
"images": [
"https://images.aloyoga.com/product1.jpg",
"https://images.aloyoga.com/product2.jpg"
],
"description": "Ultra-soft hoodie made with premium fabric.",
"category": "Women / Tops",
"sku": "ALY-12345",
"availability": "In Stock"
}
]
US Aloyoga Scraper/
├── src/
│ ├── main.ts
│ ├── routes/
│ │ ├── index.ts
│ │ └── detail-handler.ts
│ ├── crawler/
│ │ └── puppeteer-runner.ts
│ ├── utils/
│ │ ├── proxy.ts
│ │ └── logger.ts
│ └── config/
│ └── input-schema.json
├── data/
│ ├── sample-input.json
│ └── sample-output.json
├── package.json
├── tsconfig.json
└── README.md
- Retail analysts use it to track Aloyoga price changes and identify product trends for competitive analysis.
- Ecommerce consultants automate catalog monitoring to optimize client product strategies.
- Data engineers integrate scraped Aloyoga datasets into BI dashboards for performance insights.
- Market researchers gather product metadata at scale to study brand positioning and consumer behavior.
- Automation agencies build recurring workflows for inventory monitoring and lead-generation systems.
Q1: Can I add custom handlers for specific product or category pages? Yes. The routing structure supports custom handlers, allowing you to define page-specific extraction logic.
Q2: Does this scraper work without proxies? It can, but for large crawls, rotating proxies are strongly recommended to avoid rate limiting and IP blocks.
Q3: How do I control the number of pages to scrape? You can specify crawl limits directly in the input schema, such as max pages or custom URL lists.
Q4: Is JavaScript rendering supported? Yes — it uses a headless browser engine to fully render Aloyoga pages, ensuring accurate extraction of dynamic content.
Primary Metric: Average scraping speed of ~2.3 seconds per page using parallel crawling on mid-range hardware.
Reliability Metric: Maintains a 96% success rate across dynamic and media-heavy pages due to robust retry and proxy logic.
Efficiency Metric: Processes up to 450 product URLs per minute under optimal concurrency settings.
Quality Metric: Delivers over 99% field completeness for core product attributes, including pricing, titles, and images.
"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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