JP Castnet Itoya Scraper is a focused web scraping project designed to collect structured data from the Itoya website. It helps developers and analysts quickly gather page-level information without manual browsing, making large-scale data collection faster and more reliable.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project crawls selected pages of the Itoya website and extracts clean, structured information such as page titles and URLs. It solves the problem of repeatedly visiting and tracking content across many pages by automating the process. It’s built for developers, data analysts, and researchers who need dependable access to Itoya-related web data.
- Starts from user-defined entry URLs and follows internal links.
- Parses HTML efficiently using a lightweight DOM parser.
- Limits crawl depth and page count to stay predictable.
- Stores extracted results in a consistent, structured format.
- Logs progress to make debugging and monitoring easier.
| Feature | Description |
|---|---|
| Configurable start URLs | Control exactly where the crawler begins. |
| Page limit control | Restrict how many pages are scraped per run. |
| Fast HTML parsing | Efficient extraction without browser overhead. |
| Structured output | Ensures all records follow the same schema. |
| Scalable design | Easy to extend with additional fields or logic. |
| Field Name | Field Description |
|---|---|
| title | The HTML title of the page. |
| url | The full URL of the scraped page. |
| crawledAt | Timestamp indicating when the page was processed. |
[
{
"title": "Itoya – Ginza Main Store",
"url": "https://www.ito-ya.co.jp/store/ginza",
"crawledAt": "2025-03-18T10:42:11Z"
}
]
JP Castnet Itoya Scraper/
├── src/
│ ├── index.ts
│ ├── crawler/
│ │ ├── requestHandler.ts
│ │ └── routes.ts
│ ├── utils/
│ │ └── logger.ts
│ └── config/
│ └── input.schema.json
├── data/
│ ├── samples/
│ │ └── example-output.json
│ └── results/
├── package.json
├── tsconfig.json
└── README.md
- Market researchers use it to monitor Itoya web content, so they can analyze product and brand positioning.
- Developers integrate it into pipelines to collect fresh page data, enabling automated reporting.
- Data analysts run it periodically to build historical datasets for trend analysis.
- Ecommerce consultants use it to study site structure and content updates over time.
Is this scraper limited to a single page type? No. It can crawl any reachable page starting from the provided URLs, as long as the content is HTML-based.
Can I add more fields to extract? Yes. The request handler is modular, making it straightforward to include additional selectors and data fields.
How do I control crawl size? You can configure maximum pages and starting URLs through the input schema to keep runs predictable.
Does it support dynamic JavaScript-heavy pages? It’s optimized for static HTML pages. Highly dynamic content may require additional handling.
Primary Metric: Average processing speed of 50–70 pages per minute on standard network conditions.
Reliability Metric: Over 99% successful page fetch rate during stable site availability.
Efficiency Metric: Low memory footprint due to non-browser-based HTML parsing.
Quality Metric: Consistent data completeness with uniform fields across all collected records.
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