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Bookstore Database of New York Latest August 2026 Updated

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Updated: Aug 16, 2026

🌐 Bookstore Database of New York Latest August 2026 Updated

Unlock actionable insights and supercharge your sales pipeline. Download this verified, analysis-ready dataset today.

Rows (Extended)705
Sales10
Views21
CountryUnited States
📦 Data2Sales AI
On Sale

Coverage across New York

This dataset covers 705 verified records spread across 62+ districts in New York. 705 records carry a verified phone number and 247 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Saratoga (150 listings), St. Lawrence (75 listings), Allegany (50 listings), Ontario (37 listings), Essex (30 listings), Schenectady (25 listings), Rensselaer (21 listings), and Kings (19 listings).

Additional coverage spans Cayuga (17), Rockland (15), Sullivan (14), Schoharie (12), Suffolk (12), Columbia (11), Tioga (10), Hamilton (9), Greene (9), Erie (8), Oswego (8), Chemung (7) , plus 42 more districts.

Coverage in New York — by district

Total rows:705 With mobile:705 With website:247
Districts Total With mobile With website
Saratoga 150 150 53
St. Lawrence 75 75 26
Allegany 50 50 18
Ontario 37 37 13
Essex 30 30 11
Schenectady 25 25 9
Rensselaer 21 21 7
Kings 19 19 7
Cayuga 17 17 6
Rockland 15 15 5
All districts (62) 705 705 247

Coverage in New York — all 62 districts

Districts Total With mobile With website
Saratoga 150 150 53
St. Lawrence 75 75 26
Allegany 50 50 18
Ontario 37 37 13
Essex 30 30 11
Schenectady 25 25 9
Rensselaer 21 21 7
Kings 19 19 7
Cayuga 17 17 6
Rockland 15 15 5
Sullivan 14 14 5
Schoharie 12 12 4
Suffolk 12 12 4
Columbia 11 11 4
Tioga 10 10 4
Hamilton 9 9 3
Greene 9 9 3
Erie 8 8 3
Oswego 8 8 3
Chemung 7 7 2
Lewis 7 7 2
Broome 7 7 2
Steuben 7 7 2
Wyoming 6 6 2
Montgomery 6 6 2
Seneca 6 6 2
Franklin 6 6 2
Otsego 5 5 2
Westchester 5 5 2
Niagara 5 5 2
Wayne 5 5 2
Clinton 5 5 2
Herkimer 5 5 2
Putnam 4 4 1
Dutchess 4 4 1
Chautauqua 4 4 1
Livingston 4 4 1
Delaware 4 4 1
Genesee 4 4 1
Monroe 4 4 1
New York 4 4 1
Onondaga 4 4 1
Cortland 3 3 1
Nassau 3 3 1
Richmond 3 3 1
Albany 3 3 1
Warren 3 3 1
Ulster 3 3 1
Tompkins 3 3 1
Washington 3 3 1
Queens 3 3 1
Cattaraugus 3 3 1
Yates 3 3 1
Fulton 3 3 1
Bronx 3 3 1
Schuyler 3 3 1
Madison 3 3 1
Orange 3 3 1
Oneida 3 3 1
Jefferson 2 2 1
Chenango 2 2 1
Orleans 1 1 0
All districts (62) 705 705 247

Related coverage — same industry Drill up for wider coverage

13,202+ rows $387.60 $330.00 −15% OFF

Bookstores Database — United States

The Bookstores database for New York, United States includes 705+ verified businesses with company name, address, city, state, phone, email, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.

Tushar (AU) bought 21 hours ago · Aruna (US) bought 1 day ago · Isobel (US) bought 2 days ago · Elsie (US) bought 4 days ago · Harvey (US) bought 5 days ago

How to use this data

  • Investor diligence — scope the bookstores TAM in New York, United States from a verified count not a marketing estimate.
  • Vendor benchmarking — compare your service KPIs against the average bookstores business across New York, United States.
  • Customer onboarding — match new sign-ups against the New York, United States bookstores master list to enrich profiles.

Frequently asked about this dataset

How many businesses are in the Bookstores database for New York, United States?

The Bookstores database for New York, United States contains 705+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.

Where can I download a Bookstores database for New York, United States?

The complete Bookstores database for New York, United States is available on this page from Data2Sales AI as an instant CSV download. Every record carries verified contact details and is delivered immediately after checkout.

What fields are included in the Bookstores dataset?

Each record includes: Business name, Street address, City, State / Region, Postal code, Country, Phone number, Email address and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.

How accurate is the Bookstores data for New York, United States?

Every record is cross-referenced across public business registries, Google Maps and licensed directory partners before it ships. Closed businesses, disconnected phones and duplicates are stripped on every monthly refresh, so the dataset reflects the live bookstores footprint in New York, United States.

Is the Bookstores dataset updated regularly?

Yes. The Bookstores dataset is rebuilt on a rolling 30-day cycle. New entrants come in through registrar filings; closures are detected from negative signals and dropped before export.

Can I use the Bookstores data for marketing and outreach?

Yes — the dataset is licensed for commercial use after purchase. Common use cases include cold outbound, geo-targeted advertising, market research, supplier sourcing and territory planning. Only publicly listed business contact information is included.

What format do I receive the Bookstores database in?

You receive a UTF-8 encoded CSV. It opens in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request.

How quickly can I download the dataset after purchase?

Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time. You also get 7 days of unlimited re-downloads from a secure link sent to your email.

About the Bookstores Database in New York, United States

The World Wide Data Database for New York, United States is a 705+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.

License Option
Licenses terms
Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

Last Update:

Aug 16, 2026 05:45 AM

Published:

May 11, 2026 03:59 AM

Rows (Extended):

705

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