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Budget Hotels Database & Leads covering Maharashtra - 2026 Edition Database of Maharashtra, India Updated June 2026

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Budget Hotels Database & Leads covering Maharashtra - 2026 Edition Database of Maharashtra, India Updated June 2026 3.9 ★★★★★ ★★★★★ Verified buyers
Updated: Jul 08, 2026

🌐 Budget Hotels Database & Leads covering Maharashtra - 2026 Edition Database of Maharashtra, India Updated June 2026

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

Rows (Regular)2,767
Rows (Extended)6,149
Sales0
Views15
CountryIndia
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Coverage across Maharashtra

This dataset covers 6,149 verified records spread across 38+ districts in Maharashtra. 6,149 records carry a verified phone number and 2,152 include a business website — directly usable for outreach, segmentation, and CRM import.

The highest-density districts are Jalgaon (1,454 listings), Dhule (727 listings), Nandurbar (485 listings), Ratnagiri (364 listings), Nashik (291 listings), Raigad (242 listings), Satara (208 listings), and Chandrapur (182 listings).

Additional coverage spans Palghar (162), Wardha (145), Latur (132), Thane (121), Solapur (112), Nagpur (104), Mumbai Suburban (97), Ahmednagar (91), Yavatmal (86), Amravati (81), Sangli (77), Parbhani (73) , plus 18 more districts.

Coverage in Maharashtra — by district

Total rows:6,149 With mobile:6,149 With website:2,152
Districts Total With mobile With website
Jalgaon 1,454 1,454 509
Dhule 727 727 254
Nandurbar 485 485 170
Ratnagiri 364 364 127
Nashik 291 291 102
Raigad 242 242 85
Satara 208 208 73
Chandrapur 182 182 64
Palghar 162 162 57
Wardha 145 145 51
All districts (38) 6,149 6,149 2,152

Coverage in Maharashtra — all 38 districts

Districts Total With mobile With website
Jalgaon 1,454 1,454 509
Dhule 727 727 254
Nandurbar 485 485 170
Ratnagiri 364 364 127
Nashik 291 291 102
Raigad 242 242 85
Satara 208 208 73
Chandrapur 182 182 64
Palghar 162 162 57
Wardha 145 145 51
Latur 132 132 46
Thane 121 121 42
Solapur 112 112 39
Nagpur 104 104 36
Mumbai Suburban 97 97 34
Ahmednagar 91 91 32
Yavatmal 86 86 30
Amravati 81 81 28
Sangli 77 77 27
Parbhani 73 73 26
Mumbai 69 69 24
Nanded 66 66 23
Beed 63 63 22
Buldhana 61 61 21
Hingoli 58 58 20
Pune 56 56 20
Aurangabad 54 54 19
Akola 52 52 18
Mumbai City 50 50 18
Sindhudurg 48 48 17
Kolhapur 47 47 16
Washim 45 45 16
Bhandara 44 44 15
Gadchiroli 43 43 15
Osmanabad 42 42 15
Navi Mumbai 40 40 14
Gondia 39 39 14
Jalna 38 38 13
All districts (38) 6,149 6,149 2,152

Related coverage — same industry Drill up for wider coverage

1,501+ rows $212.40 $42.00 −80% OFF

Budget Hotels Database — India

The Budget Hotels database for Maharashtra, India includes 6,149+ 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.

How to use this data

  • Email + WhatsApp campaigns — segment by city or category and launch sequences across Maharashtra, India.
  • Operating-model design — base scale-up cost models on real Maharashtra, India budget hotels headcount, not extrapolation.
  • Retention monitoring — flag budget hotels accounts in Maharashtra, India that have moved or closed since last contact.

Frequently asked about this dataset

How many businesses are in the Budget Hotels database for Maharashtra, India?

The Budget Hotels database for Maharashtra, India contains 6,149+ 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 Budget Hotels database for Maharashtra, India?

The complete Budget Hotels database for Maharashtra, 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 Budget Hotels 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 Budget Hotels data for Maharashtra, 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 budget hotels footprint in Maharashtra, India.

Is the Budget Hotels dataset updated regularly?

Yes. The Budget Hotels 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 Budget Hotels 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 Budget Hotels 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 Budget Hotels Database in Maharashtra, India

The World Wide Data Database for Maharashtra, India is a 6,149+ 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:

Jul 08, 2026 13:38 PM

Published:

May 11, 2026 02:25 AM

Rows (Regular):

2,767

Rows (Extended):

6,149

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