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Saizeriya restaurant locations Database of Japan

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Saizeriya restaurant locations Database of Japan 4.2 ★★★★★ ★★★★★ Verified buyers
Updated: Jun 27, 2026

🌐 Saizeriya restaurant locations Database of Japan · Updated June 2026

Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.

Rows (Regular)500
Rows (Extended)1,000
Sales0
Views2
CountryJapan
📦 Bulk Data Provider
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Saizeriya Restaurants Locations Database — Japan

The Saizeriya restaurants database includes 1,000+ verified Saizeriya restaurants in Japan with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.

How to use this data

  • Influencer / brand-ambassador placement — match content creators to the closest Saizeriya outlet in Japan.
  • M&A targeting — identify Saizeriya-adjacent operators in Japan ripe for consolidation.
  • Operations dashboards — load addresses + GPS into Looker / Power BI to track ground performance per Saizeriya site.

Frequently asked about this dataset

How many Saizeriya restaurants are in Japan?

Saizeriya currently operates 1,000+ restaurants in Japan (as of 2026). Buy access on this page and you get the master CSV with every store's verified contact + geolocation row.

Where can I download a database of all Saizeriya restaurants in Japan?

Data2Sales AI hosts the most up-to-date Saizeriya restaurants list for Japan; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.

What fields are included in the Saizeriya restaurants dataset?

The CSV ships with one row per Saizeriya location, columns covering Saizeriya store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.

How accurate is the Saizeriya restaurants location data?

Triple-source verification: the Saizeriya store locator, Google Maps data and licensed B2B directories all have to agree before a record makes the CSV. Dead phones and 'permanently closed' markers prune the list every month.

Is the Saizeriya restaurants data updated?

Yes. The Saizeriya restaurants dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.

Can I use the Saizeriya restaurants data for marketing and sales outreach?

Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Saizeriya catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.

What format do I receive the Saizeriya restaurants database in?

You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.

How soon after purchase can I download the Saizeriya restaurants CSV?

Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Saizeriya restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.

About the Saizeriya Casual Dining Restaurants Database in Japan

This Saizeriya Restaurants & Food Services list covers 1,000+ verified records operating in Japan. Every entry is compiled by the Data2Sales AI engine from multiple verified sources, de-duplicated against our master index, and refreshed each month — saving sales, marketing, and research teams the manual cleanup normally needed before outreach.

License Option
Licenses terms
Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

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