japan-jma-weather

This Apify actor scrapes JMA data from Japanese weather and meteorological data sources. It produces structured JSON or CSV suitable for resale arbitrage, market research, price monitoring, AI training pipelines, and competitor analysis.

What it scrapes

For each item found, the actor extracts:

• Title (item name in Japanese and English where available)
• Price (JPY, with discount/original price distinction)
• Condition (new, used, refurbished, etc.)
• Seller (name, rating, shop ID)
• Category (taxonomy path)
• Images (URLs, alt text)
• URL (canonical item link)
• Timestamp (when scraped)

Input

The actor accepts the following input fields:

• startUrls (array): Initial listing or category URLs to seed the crawl
• maxItems (integer, default 1000): Maximum number of items to scrape per run
• proxyConfiguration (object): Proxy settings (residential or datacenter based on target)
• searchKeyword (string, optional): Filter listings by keyword
• priceRange (object, optional): { min, max } in JPY to filter listings

Output

Results are written to the default Apify dataset in this shape:

{
  "title": "...",
  "priceJpy": 12345,
  "condition": "used",
  "seller": { "name": "...", "rating": 4.5 },
  "category": ["...", "..."],
  "images": ["https://..."],
  "url": "https://...",
  "scrapedAt": "2026-09-05T00:00:00Z"
}

Pricing

Pay-per-event: charged per item scraped. See the actor's pricing tab for the current per-item rate. No monthly subscription required; you pay only for what you actually collect.

Use cases

• Resale arbitrage: identify underpriced listings on one marketplace to flip on another
• Market research: track price trends, new arrivals, and seller behaviour over time
• Price monitoring: alert when items cross your buy/sell thresholds
• AI training data: build labelled datasets for classification, price prediction, and listing generation
• Competitor analysis: monitor which sellers dominate which categories

Notes

This actor is part of a suite covering major Japanese marketplaces and second-hand chains. Source listings are public; the actor respects robots.txt and includes polite crawl delays. For high-volume or commercial scraping, configure residential proxies via the input schema.