How many records are in Village Pantry store locations Database of the USA?

This database contains 79 verified records.

What is the price of Village Pantry store locations Database of the USA?

$49.20. 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.

Village Pantry store locations Database of the USA (Updated August 2026) — Download CSV

5 out of 5 stars

By Samantha

1 month ago

Field-tested by my team. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for a United States village pantry store locations market-sizing project. Will reconsider for the next refresh.

Data2Sales AI Seller response 1 month 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 Jennifer

1 month ago

Wanted a United States list with verified phones. Loaded into Power BI without a single import warning. Bought it for a United States village pantry store locations market-sizing project. Will be the default vendor for us now.

Data2Sales AI Seller response 1 month ago

Thanks for sharing how you used it, glad the coverage matched what you needed. Let us know if you'd like the file regenerated with extra columns next time.

By Reyna

1 month ago

Needed it for a fast launch. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to support a village pantry store locations rollout in United States. No complaints from the field reps.

Data2Sales AI Seller response 1 month ago

Glad to hear the dataset worked for you, happy the addresses and phones worked out for the campaign. Happy to fast-track a custom segment if you ever need one.

By Pasquale

2 months ago

Solid file overall. Loaded into Power BI without a single import warning. Bought it for our village pantry store locations outreach in United States. Workable, the LinkedIn coverage could be better.

Data2Sales AI Seller response 2 months ago

Thanks for the detailed review, noted on the minor gaps — they're tracked for the next refresh. If you want the gaps fixed sooner than the next refresh, open a support ticket and we'll spin a one-off pull.

By Rudolph

3 months ago

Onboarded a junior with this dataset. Address quality is the strongest column in the file. Sales team is happy.

Data2Sales AI Seller response 3 months ago

Appreciate you flagging what worked, reviews like this are what keep the refresh cycle on schedule.

By Jedidiah

3 months ago

Bought this for a cold outbound push. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Money well spent.

Data2Sales AI Seller response 3 months 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.