How many records are in Villa Developer Database of Victoria, Australia Updated June 2026?

This database contains 252 verified records.

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.

Villa Developer Database of Victoria, Australia Updated June 2026 (Updated July 2026) — Download CSV

Q: What is the price of Villa Developer Database of Victoria, Australia Updated June 2026?

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

Data2SalesAI

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5 out of 5 stars

By Susanna

1 week ago

Stress-tested it during a client pitch. Address quality is the strongest column in the file. Bought it as part of a wider villa developer expansion into Australia. Worth the price.

Data2Sales AI Seller response 1 week ago

Thank you for the kind review, happy the addresses and phones worked out for the campaign. Let us know if you'd like the file regenerated with extra columns next time.