Install Data2Sales AI
Faster access, offline browsing, and a one-tap shortcut on your home screen.
This dataset covers 46,261 verified records spread across 62+ districts in New York. 46,261 records carry a verified phone number and 16,191 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Saratoga (9,817 listings), Yates (4,908 listings), Ontario (3,272 listings), Cayuga (2,454 listings), Allegany (1,963 listings), Sullivan (1,636 listings), Westchester (1,402 listings), and Rockland (1,227 listings).
Additional coverage spans St. Lawrence (1,091), Suffolk (982), Bronx (892), Hamilton (818), Columbia (755), Montgomery (701), Otsego (654), Rensselaer (614), Steuben (577), Wyoming (545), Seneca (517), Chemung (491) , plus 42 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Saratoga | 9,817 | 9,817 | 3,436 |
| Yates | 4,908 | 4,908 | 1,718 |
| Ontario | 3,272 | 3,272 | 1,145 |
| Cayuga | 2,454 | 2,454 | 859 |
| Allegany | 1,963 | 1,963 | 687 |
| Sullivan | 1,636 | 1,636 | 573 |
| Westchester | 1,402 | 1,402 | 491 |
| Rockland | 1,227 | 1,227 | 429 |
| St. Lawrence | 1,091 | 1,091 | 382 |
| Suffolk | 982 | 982 | 344 |
| All districts (62) | 46,261 | 46,261 | 16,191 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Saratoga | 9,817 | 9,817 | 3,436 |
| Yates | 4,908 | 4,908 | 1,718 |
| Ontario | 3,272 | 3,272 | 1,145 |
| Cayuga | 2,454 | 2,454 | 859 |
| Allegany | 1,963 | 1,963 | 687 |
| Sullivan | 1,636 | 1,636 | 573 |
| Westchester | 1,402 | 1,402 | 491 |
| Rockland | 1,227 | 1,227 | 429 |
| St. Lawrence | 1,091 | 1,091 | 382 |
| Suffolk | 982 | 982 | 344 |
| Bronx | 892 | 892 | 312 |
| Hamilton | 818 | 818 | 286 |
| Columbia | 755 | 755 | 264 |
| Montgomery | 701 | 701 | 245 |
| Otsego | 654 | 654 | 229 |
| Rensselaer | 614 | 614 | 215 |
| Steuben | 577 | 577 | 202 |
| Wyoming | 545 | 545 | 191 |
| Seneca | 517 | 517 | 181 |
| Chemung | 491 | 491 | 172 |
| Schoharie | 467 | 467 | 163 |
| Schenectady | 446 | 446 | 156 |
| Clinton | 427 | 427 | 149 |
| Greene | 409 | 409 | 143 |
| Franklin | 393 | 393 | 138 |
| Niagara | 378 | 378 | 132 |
| Oswego | 364 | 364 | 127 |
| Broome | 351 | 351 | 123 |
| Dutchess | 339 | 339 | 119 |
| Washington | 327 | 327 | 114 |
| Monroe | 317 | 317 | 111 |
| Herkimer | 307 | 307 | 107 |
| Lewis | 297 | 297 | 104 |
| Cattaraugus | 289 | 289 | 101 |
| Nassau | 280 | 280 | 98 |
| Delaware | 273 | 273 | 96 |
| Jefferson | 265 | 265 | 93 |
| Putnam | 258 | 258 | 90 |
| New York | 252 | 252 | 88 |
| Wayne | 245 | 245 | 86 |
| Richmond | 239 | 239 | 84 |
| Cortland | 234 | 234 | 82 |
| Genesee | 228 | 228 | 80 |
| Onondaga | 223 | 223 | 78 |
| Essex | 218 | 218 | 76 |
| Livingston | 213 | 213 | 75 |
| Chautauqua | 209 | 209 | 73 |
| Tompkins | 205 | 205 | 72 |
| Orange | 200 | 200 | 70 |
| Oneida | 196 | 196 | 69 |
| Schuyler | 192 | 192 | 67 |
| Orleans | 189 | 189 | 66 |
| Albany | 185 | 185 | 65 |
| Warren | 182 | 182 | 64 |
| Tioga | 178 | 178 | 62 |
| Madison | 175 | 175 | 61 |
| Queens | 172 | 172 | 60 |
| Chenango | 169 | 169 | 59 |
| Fulton | 166 | 166 | 58 |
| Erie | 164 | 164 | 57 |
| Kings | 163 | 163 | 57 |
| Ulster | 161 | 161 | 56 |
| All districts (62) | 46,261 | 46,261 | 16,191 |
The Shopify stores database includes 46,261+ verified Shopify stores in New York, 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.
There are roughly 46,261+ Shopify stores in New York, United States as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Shopify stores CSV covering all of New York, United States within seconds. Every row is human-checked.
Each Shopify record carries the full operational profile: Shopify store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
Each Shopify row goes through phone validation, address cross-check against Google Maps and a check against the official Shopify New York, United States locator. Records that fail any of those drop before you ever see them.
Yes. The Shopify stores 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 Shopify 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 Shopify stores — 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 New York, United States? This database aggregates 46,261+ 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:
Aug 17, 2026 02:30 AM
Published:
Jul 06, 2026 11:48 AM
Rows (Regular):
23,131
Rows (Extended):
46,261
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
