This dataset covers 2,593 verified records spread across
79+ districts in Uttar Pradesh.
2,593 records carry a verified phone number and
908 include a business website — directly usable for
outreach, segmentation, and CRM import.
The highest-density districts are
Chandauli (524 listings), Lucknow (262 listings), Kasganj (175 listings), Sultanpur (131 listings), Chitrakoot (105 listings), Firozabad (87 listings), Rampur (75 listings), and Gorakhpur (65 listings).
The Property Development Companies database for Uttar Pradesh, India includes 2,593+ 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.
Tanuja (IN) bought 11 hours ago
·Yadunandan (IN) bought 1 day ago
·Kajol (IN) bought 3 days ago
How to use this data
Lookalike modelling — feed verified property development companies signals into your ad platform's modelling for Uttar Pradesh, India.
Operating-model design — base scale-up cost models on real Uttar Pradesh, India property development companies headcount, not extrapolation.
Pipeline reporting — surface property development companies pipeline coverage in Uttar Pradesh, India by city and state in your sales dashboards.
Frequently asked about this dataset
How many businesses are in the Property Development Companies database for Uttar Pradesh, India?
The Property Development Companies database for Uttar Pradesh, India contains 2,593+ 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 Property Development Companies database for Uttar Pradesh, India?
The complete Property Development Companies 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 Property Development Companies 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 Property Development Companies 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 property development companies footprint in Uttar Pradesh, India.
Is the Property Development Companies dataset updated regularly?
Yes. The Property Development Companies 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 Property Development Companies 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 Property Development Companies 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 Property Development Companies Database in Uttar Pradesh, India
Looking to reach world wide data decision-makers in Uttar Pradesh, India? This database aggregates 2,593+ 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.