A lightweight and efficient scraper built to collect structured data from the Japanese Arcteryx website. It helps developers and analysts turn raw pages into clean, usable datasets for research, monitoring, or integration workflows. Designed for reliability, speed, and clarity.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project crawls pages on arcteryx.jp and extracts consistent, structured information into a dataset format. It solves the problem of manually collecting or repeatedly parsing product and page data. It’s built for developers, data analysts, and teams who need dependable access to Arcteryx Japan website data.
- Targets Japanese Arcteryx pages with predictable HTML structure
- Converts unstructured web content into clean JSON-style records
- Supports controlled crawling with page limits and start URLs
- Designed for easy extension and customization
| Feature | Description |
|---|---|
| URL-based crawling | Starts from user-defined URLs and follows internal links. |
| Structured extraction | Collects consistent fields from each visited page. |
| Fast HTML parsing | Uses a lightweight DOM parser for high performance. |
| Configurable limits | Control crawl depth and total pages processed. |
| Clean data output | Stores results in a uniform, analysis-ready format. |
| Field Name | Field Description |
|---|---|
| pageTitle | The title of the page or product. |
| pageUrl | The absolute URL of the scraped page. |
| productName | Name of the Arcteryx product, when available. |
| productPrice | Listed price in Japanese Yen, if present. |
| availability | Stock or availability status shown on the page. |
| category | Product category or section. |
[
{
"pageTitle": "Beta Jacket Men's | Arc'teryx",
"pageUrl": "https://arcteryx.jp/products/beta-jacket-mens",
"productName": "Beta Jacket Men's",
"productPrice": "¥49,500",
"availability": "In stock",
"category": "Shell Jackets"
}
]
JP Arcteryx Scraper/
├── src/
│ ├── main.ts
│ ├── crawler.ts
│ ├── routes.ts
│ └── utils/
│ ├── selectors.ts
│ └── logger.ts
├── data/
│ ├── input.sample.json
│ └── output.sample.json
├── package.json
├── tsconfig.json
└── README.md
- Market analysts use it to monitor product listings, so they can track catalog changes over time.
- Ecommerce teams use it to collect pricing data, so they can compare regional pricing.
- Developers use it to prototype integrations, so they can feed real product data into apps.
- Researchers use it to study availability trends, so they can analyze demand patterns.
Does this scraper work only for product pages? It works for both product and general content pages, but product pages yield the richest structured data.
Can I control how many pages are scraped? Yes, the crawl limit and starting URLs are fully configurable through the input settings.
Is the project easy to extend with new fields? The extraction logic is modular, making it straightforward to add or adjust fields as page structures evolve.
Does it handle Japanese text correctly? Yes, the scraper processes UTF-8 content and preserves Japanese characters accurately.
Primary Metric: Processes an average of 40–60 pages per minute on standard product listings.
Reliability Metric: Maintains a successful extraction rate above 97% on stable page layouts.
Efficiency Metric: Uses minimal memory by relying on lightweight HTML parsing instead of full browsers.
Quality Metric: Delivers consistently structured records with high field completeness across crawled pages.
"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
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"Exceptional results, clear communication, and flawless delivery. Syed
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