How many records are in Sweet Shop Database of Austria Latest August 2026 Updated?

This database contains 1,860 verified records.

What is the price of Sweet Shop Database of Austria Latest August 2026 Updated?

$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.

Sweet Shop Database of Austria Latest August 2026 Updated (Updated August 2026) — Download CSV

Sweet Shop Database of Austria Latest August 2026 Updated

(6 Reviews)

Recently Updated

5 out of 5 stars

By Jayden

1 week ago

Reasonable value for what we paid. Email coverage is the highest I've seen for Austria B2B data. Bought it for a Austria sweet shop market-sizing project. Decent value, would tighten one or two fields.

Data2Sales AI Seller response 6 days ago

Good to know what worked and what didn't, noted on the minor gaps — they're tracked for the next refresh. Open a ticket via the Support tab and we'll prioritise the columns you flagged for the next refresh.

By Mateo

1 week ago

Onboarded a junior with this dataset. Categorisation was granular enough to segment by sub-vertical without regex. Bought it as part of a wider sweet shop expansion into Austria. Money well spent.

Data2Sales AI Seller response 1 week ago

Thank you for the kind review, always good to hear from buyers using the file for real outreach.

By Pablo

1 week ago

Tried three vendors before this. Address quality is the strongest column in the file. Bought it for a Austria-focused sweet shop territory cut. Will buy again.

Data2Sales AI Seller response 1 week ago

Great to hear the file landed well, reviews like this are what keep the refresh cycle on schedule. Let us know if you'd like the file regenerated with extra columns next time.

By Horacio

1 week ago

Picked it up for a one-off campaign. The phone column was live for 95% of the rows I tested. Bought it to underpin a Austria sweet shop campaign. Will buy again.

Data2Sales AI Seller response 1 week ago

Thank you for the kind review, reviews like this are what keep the refresh cycle on schedule.

By Evelyn

2 weeks ago

Bought a sample first. Hours-of-operation field meant my SDRs called during open windows. Bought it to underpin a Austria sweet shop campaign. Renewed for another quarter already.

Data2Sales AI Seller response 2 weeks ago

Thanks for sharing how you used it, always good to hear from buyers using the file for real outreach. Let us know if you'd like the file regenerated with extra columns next time.

By Dasia

2 weeks ago

Reasonable value for what we paid. Email coverage is the highest I've seen for Austria B2B data. Bought it to support a sweet shop rollout in Austria. Connect rate could have been higher with cleaner mobile numbers.

Data2Sales AI Seller response 2 weeks ago

Appreciate the constructive note, we're actively working on the gaps you called out. Open a ticket via the Support tab and we'll prioritise the columns you flagged for the next refresh.