This dataset covers 2,637 verified records spread across
79+ districts in Uttar Pradesh.
2,637 records carry a verified phone number and
923 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Mahoba (532 listings), Pratapgarh (266 listings), Ayodhya (177 listings), Jalaun (133 listings), Ghazipur (106 listings), Bhadohi (89 listings), Kannauj (76 listings), and Barabanki (67 listings).
The Plant Nurseries Retail database for Uttar Pradesh, India includes 2,637+ 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.
Owais (IN) bought 2 days ago
·Kalpit (IN) bought 2 days ago
·Rohini (IN) bought 3 days ago
·Padama (IN) bought 4 days ago
·Vaishali (IN) bought 5 days ago
How to use this data
Inbound enrichment — match form fills against the plant nurseries retail list to enrich Uttar Pradesh, India leads instantly.
Procurement strategy — map your supplier-to-buyer ratio across the Uttar Pradesh, India plant nurseries retail market.
Field-ops planning — feed addresses into a route optimiser so Uttar Pradesh, India sales visits hit the most plant nurseries retail firms per day.
Frequently asked about this dataset
How many businesses are in the Plant Nurseries Retail database for Uttar Pradesh, India?
The Plant Nurseries Retail database for Uttar Pradesh, India contains 2,637+ 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 Plant Nurseries Retail database for Uttar Pradesh, India?
The complete Plant Nurseries Retail database for Uttar Pradesh, India 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 Plant Nurseries Retail 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 Plant Nurseries Retail data for Uttar Pradesh, India?
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 plant nurseries retail footprint in Uttar Pradesh, India.
Is the Plant Nurseries Retail dataset updated regularly?
Yes. The Plant Nurseries Retail 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 Plant Nurseries Retail 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 Plant Nurseries Retail 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 Plant Nurseries Retail Database in Uttar Pradesh, India
Data2Sales AI's World Wide Data database for Uttar Pradesh, India consolidates 2,637+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.