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MLIT Japan Real Estate Prices Scraper

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MLIT Japan Real Estate Prices Scraper

MLIT Japan Real Estate Prices Scraper

Tap MLIT transaction prices for Japanese real estate by prefecture and quarter, returning prefecture, city, district, type, price, area, year_built, transaction_date, and structure. Useful for property valuation, market research, and investment analysis across all 47 prefectures.

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from $7.50 / 1,000 results

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ParseForge

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3 days ago

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🏠 MLIT Japan Real Estate Transaction Prices Scraper

πŸš€ Export official Japan real estate transaction prices from the MLIT WebLand public API in seconds. Prefecture, city, type, price, area, structure.

The MLIT Japan Real Estate Transaction Prices Scraper turns the official Ministry of Land WebLand API into a clean dataset of residential and commercial transactions across all 47 Japanese prefectures.

🎯 Target AudienceπŸ’‘ Primary Use Cases
πŸ“Š AnalystsBuild clean datasets from the source
🏒 Business teamsPlug official data into internal tools
πŸ€– ML engineersTraining data ready for pandas and BigQuery
πŸ“° JournalistsVerify numbers in seconds
πŸŽ“ ResearchersReproducible historical pulls
πŸ‘©β€πŸ’» DevelopersSkip writing a client library

πŸ“‹ What the MLIT Japan Real Estate Transaction Prices Scraper does

  • Calls the public MLIT WebLand endpoint.
  • Parses the response and flattens each record into a clean row.
  • Casts numeric fields and normalizes timestamps for downstream tools.
  • Surfaces upstream errors as a clean error record instead of crashing.
  • Exports as CSV, Excel, JSON, JSONL, XML, RSS, or HTML.

πŸ’‘ Why it matters: the source is public but its format is not analyst friendly. This actor returns a flat, tool-ready dataset.

πŸ“Š Data fields

Each record includes: area, city, district, prefecture, price, results, scrapedAt, structure, transaction_date, type, year_built. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

⚠️ Good to Know: the upstream source enforces its own rate limits. Heavy pulls should be spread across runs.

πŸš€ How to use

  1. Click Try for free.
  2. Fill in the input fields (defaults work for a first run).
  3. Click Start. Your dataset is ready in seconds.
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πŸ’‘ Pro Tip: browse the complete ParseForge collection for 900+ production-grade scrapers across business intelligence, real estate, e-commerce, sports, finance, and public records.

Disclaimer: This actor scrapes only publicly available data. ParseForge is not affiliated with, endorsed by, or sponsored by any of the third-party services referenced. Users are responsible for complying with the target site's terms of service and applicable law. Create a free account w/ $5 credit.

πŸ†˜ Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.