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This dataset covers 408 verified records spread across 14+ districts in Vermont. 408 records carry a verified phone number and 143 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Orange (125 listings), Orleans (63 listings), Franklin (42 listings), Chittenden (31 listings), Caledonia (25 listings), Rutland (21 listings), Grand Isle (18 listings), and Windsor (16 listings).
Additional coverage spans Windham (14), Addison (13), Bennington (11), Washington (10), Essex (10), Lamoille (9) .
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Orange | 125 | 125 | 44 |
| Orleans | 63 | 63 | 22 |
| Franklin | 42 | 42 | 15 |
| Chittenden | 31 | 31 | 11 |
| Caledonia | 25 | 25 | 9 |
| Rutland | 21 | 21 | 7 |
| Grand Isle | 18 | 18 | 6 |
| Windsor | 16 | 16 | 6 |
| Windham | 14 | 14 | 5 |
| Addison | 13 | 13 | 5 |
| All districts (14) | 408 | 408 | 143 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Orange | 125 | 125 | 44 |
| Orleans | 63 | 63 | 22 |
| Franklin | 42 | 42 | 15 |
| Chittenden | 31 | 31 | 11 |
| Caledonia | 25 | 25 | 9 |
| Rutland | 21 | 21 | 7 |
| Grand Isle | 18 | 18 | 6 |
| Windsor | 16 | 16 | 6 |
| Windham | 14 | 14 | 5 |
| Addison | 13 | 13 | 5 |
| Bennington | 11 | 11 | 4 |
| Washington | 10 | 10 | 4 |
| Essex | 10 | 10 | 4 |
| Lamoille | 9 | 9 | 3 |
| All districts (14) | 408 | 408 | 143 |
The Buy restaurants database includes 408+ verified Buy restaurants in Vermont, United States 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.
Counting only operational sites, the Buy footprint in Vermont, United States sits at about 408+ restaurants this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
This page IS the download point. The Buy restaurants CSV for Vermont, United States ships immediately after payment and includes all verified store-level fields.
The CSV ships with one row per Buy location, columns covering Buy 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.
Triple-source verification: the Buy 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.
Yes. The Buy 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.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Buy catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
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.
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 Buy restaurants — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
Looking to reach world wide data decision-makers in Vermont, United States? This database aggregates 408+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 04:19 AM
Rows (Extended):
408
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