How many records are in Five Star Hotel Leads Database of Canada Updated June 2026?

This database contains 65 verified records.

What is the price of Five Star Hotel Leads Database of Canada Updated June 2026?

$150.00. Buyers outside India see prices in their local currency at checkout.

What file format do I receive?

CSV — UTF-8 encoded, comma-separated, Excel/Google Sheets compatible. 14 columns including company name, phone, email, website, address, coordinates, Google rating and review count.

How is the data collected and kept current?

Every record is harvested from public sources (Google Maps, business directories, official websites) and re-verified monthly. Invalid phone numbers and closed businesses are removed automatically.

How soon after purchase can I download the CSV?

Within 30 seconds of successful payment. The CSV is generated fresh from our live database at purchase time, so you always get the latest records — not a stale snapshot. You also get 7 days of unlimited downloads using a secure link sent by email.

Is the data GDPR / DPDP compliant?

We collect only publicly listed business contact information (company lines, work emails, business addresses). No personal consumer data is included. You are responsible for complying with the marketing laws of the jurisdictions you contact.

Can I get a sample before buying?

Yes — a 20-row preview CSV is available on the product page at no cost. It uses the exact same columns as the paid version so you can check format compatibility with your CRM.

Five Star Hotel Leads Database of Canada Updated June 2026 (Updated July 2026) — Download CSV

5 out of 5 stars

By Pauline

5 days ago

Skeptical at first, given the price. Loaded into Power BI without a single import warning. Bought it as the seed list for a five star hotel outbound push in Canada. Renewed for another quarter already.

Data2Sales AI Seller response 4 days ago

Thanks for sharing how you used it, always good to hear from buyers using the file for real outreach. Reach out if you'd like an early look at the next refresh.