🍣 Tabelog Japan Restaurant Scraper

🚀 🍣 Scrape Japan's largest restaurant directory. Pull 800,000+ Japanese restaurants worth of data with 14 fields per record. No API key, no manual data entry.

🕒 Last updated: 2026-05-05 · 📊 14 fields per record · 🌍 Japan · 💵 from $0.008 per item (FREE tier)

The Tabelog Japan Restaurant Scraper Scrape restaurant records from Tabelog, Japan's largest restaurant directory. Returns name, cuisine, price range, geo coordinates, address, phone, rating, review count, and a representative image per restaurant. Filter by city and area code to scope your run.

🎯 Target Audience	💡 Primary Use Cases
Sales teams, compliance officers, researchers, journalists, real-estate analysts, healthcare ops	Restaurant tech & POS, Travel-tech curation, F&B market intelligence, Localization & directory enrichment

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📋 What the Tabelog Japan Restaurant Scraper does

Highlights of every record returned:

• 🏮 Restaurant identity. name, cuisine, image, official Tabelog URL.
• 💴 Pricing & rating. price range, average rating, review count.
• 📍 Location. full address, city, region, postal code, lat/lng.
• 📞 Contact. telephone.
• 🌏 City + area scoping. 12 supported cities + optional area-code filter (e.g., A1311 for Ueno in Tokyo).

💡 Why it matters: verified, structured data delivered in seconds beats hand-curated spreadsheets that go stale within days. Run this Actor on a schedule and your downstream pipeline always has fresh records.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded Tabelog Japan Restaurant Scraper dataset.

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⚙️ Input

Input	Type	Default	Behavior
city	string	"tokyo"	Tabelog city slug. 12 supported.
areaCode	string	""	Optional area filter (e.g., `A1311`). Empty = entire city.
maxItems	integer	10	Records to return. Free: max 10. Paid: up to 1,000,000.

Example input:

{
    "city": "tokyo",
    "areaCode": "A1311",
    "maxItems": 100
}

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📊 Output

Each record contains 14 fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Top fields

• name
• url
• imageUrl
• cuisine
• priceRange
• rating
• reviewCount
• phone
• addressFull
• city
• lat
• lng

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✨ Why choose this Actor

• 🛠️ No infrastructure to maintain. The Apify cloud handles scheduling, retries, proxies, and storage.
• 🌍 Verified source data. Records come from authoritative public sources, not third-party aggregators.
• 🔁 Repeatable runs. Schedule monthly, weekly, or hourly to keep your pipeline always fresh.
• 📊 Multiple export formats. CSV, Excel, JSON, XML out of the box.
• 💵 Pay only for what you use. Pay-per-result-item pricing, free preview included.

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💼 Business use cases

🧑‍🍳 Restaurant tech & POS

Build a target list of Japanese restaurants by city for POS, reservation, or delivery-platform sales.

📊 Travel-tech curation

Power restaurant recommendations in travel apps, hotel concierge tools, and destination guides.

📈 F&B market intelligence

Track price-range distribution and cuisine density across Tokyo wards or other Japanese cities.

🌐 Localization & directory enrichment

Add verified Japanese restaurant data to multilingual review sites or food-discovery platforms.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Tabelog Japan Restaurant Scraper (this Actor)	$5 free credit, then pay-per-use	Full source coverage	Live per run	Source-native filters supported	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid managed APIs	$$$ monthly	Vendor-defined	Live	Vendor-defined	⏳ Hours
Third-party data dumps	Varies	Subset, often stale	Periodic	None	🕒 Variable

Pick this Actor when you want broad coverage, server-side filtering, and no pipeline maintenance.

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🚀 How to use

1. Create a free account on Apify (includes $5 in free credit).
2. Open the Tabelog Japan Restaurant Scraper Actor page.
3. Fill out the input form and click Start.
4. Download your dataset in CSV, Excel, JSON, or XML.

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🌟 Beyond business use cases

🎓 Research and academia

Hospitality researchers can study cuisine clustering, price stratification, and rating distributions across Japanese cities.

🎨 Personal and creative

Food bloggers and travel writers can build curated lists of top-rated restaurants in any Tokyo neighborhood.

🤝 Non-profit and civic

Tourism boards can publish open datasets of recommended local cuisine.

🧪 Experimentation

Data scientists can use cuisine + price-range + rating as a multi-label classification benchmark for Japanese NLP.

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🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

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❓ Frequently Asked Questions

What cities are supported?

Tokyo, Osaka, Kyoto, Fukuoka, Sapporo, Hokkaido, Yokohama, Nagoya, Kobe, Sendai, Hiroshima, Okinawa.

How do I find an area code?

Browse Tabelog and the area code (e.g., A1311 for Ueno) appears in the URL. Leave empty to scrape the entire city.

Are reviews returned?

No. The actor returns aggregate rating and review count. Individual review text would require a separate, slower scraper.

Are menus included?

No, only the restaurant directory entry. Tabelog does not expose full menus on the listing page.

How fresh is the data?

Records are scraped in real time. Tabelog updates daily as restaurants open, close, and submit new ratings.

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🔌 Integrate with any app

Connect this Actor to your stack via the Apify integrations catalog:

• 📊 Make / Zapier / n8n - trigger scrapes from any business workflow.
• 💬 Slack / Discord - get a notification when a run finishes.
• 📁 Google Drive / Google Sheets - push the dataset directly into a spreadsheet.
• 📨 Gmail / Mailchimp / HubSpot - automate outreach with the scraped leads.
• 🔌 Apify CLI / SDK - programmatic control from Python, Node.js, or any HTTP client.
• ⚡ Webhooks - POST run results to any endpoint when complete.

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🔗 Recommended Actors

• 🔧 Booking.com Hotels
• 🔧 TripAdvisor Scraper
• 🔧 Expedia Scraper
• 🔧 Agoda Scraper
• 🔧 OpenSky Flights

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Disclaimer: This Actor scrapes only publicly accessible data. We do not collect personal information beyond what is voluntarily published by the source. Do not use the data for unauthorized contact, spam, or any purpose violating applicable laws or the source site's Terms of Service. Respect GDPR, CCPA, and applicable consumer-protection laws. ParseForge is not affiliated with any source site.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.