How many records are in Hotel Database of Maharashtra Latest August 2026 Updated?

This database contains 139 verified records.

What is the price of Hotel Database of Maharashtra Latest August 2026 Updated?

$23.98. Buyers outside India see prices in their local currency at checkout.

What file format do I receive?

CSV — UTF-8 encoded, comma-separated, Excel/Google Sheets compatible. 14 columns including company name, phone, email, website, address, coordinates, Google rating and review count.

How is the data collected and kept current?

Every record is harvested from public sources (Google Maps, business directories, official websites) and re-verified monthly. Invalid phone numbers and closed businesses are removed automatically.

How soon after purchase can I download the CSV?

Within 30 seconds of successful payment. The CSV is generated fresh from our live database at purchase time, so you always get the latest records — not a stale snapshot. You also get 7 days of unlimited downloads using a secure link sent by email.

Is the data GDPR / DPDP compliant?

We collect only publicly listed business contact information (company lines, work emails, business addresses). No personal consumer data is included. You are responsible for complying with the marketing laws of the jurisdictions you contact.

Can I get a sample before buying?

Yes — a 20-row preview CSV is available on the product page at no cost. It uses the exact same columns as the paid version so you can check format compatibility with your CRM.

Hotel Database of Maharashtra Latest August 2026 Updated (Updated August 2026) — Download CSV

Hotel Database of Maharashtra Latest August 2026 Updated

(7 Reviews)

Recently Updated

5 out of 5 stars

By Qadim

18 hours ago

Field-tested by my team. Bounce rate stayed under 4% on a 1,000-contact email send. Otherwise no complaints.

Data2Sales AI Seller response 12 hours ago

Thanks for flagging the small gaps, the email/LinkedIn coverage you mentioned is on our list for the next pass. If you want the gaps fixed sooner than the next refresh, open a support ticket and we'll spin a one-off pull.

By Fatima

2 days ago

Bought a sample first. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for our hotel outreach in India. Worth the price.

Data2Sales AI Seller response 2 days ago

Great to hear the file landed well, glad the coverage matched what you needed. Drop us a line any time you need a custom cut.

By Umesh

6 days ago

Bought it to seed a CRM import. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to underpin a India hotel campaign. Will be the default vendor for us now.

Data2Sales AI Seller response 6 days ago

Really appreciate you taking the time to write this, we'll keep tightening the column coverage in the next refresh.

By Raju

1 week ago

Field-tested by my team. Email coverage is the highest I've seen for India B2B data. Bought it for our hotel sales team's India pipeline. Will buy again.

Data2Sales AI Seller response 1 week ago

Thanks for sharing how you used it, we'll keep tightening the column coverage in the next refresh.

By Sapna

2 weeks ago

Met most of what we were looking for. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Otherwise no complaints.

Data2Sales AI Seller response 2 weeks ago

Appreciate the write-up, we're actively working on the gaps you called out. Drop a note via Help → Contact Support and we'll line up a fresh export for you.

By Richa

4 weeks ago

Replaced an older vendor with this. Connect rate jumped noticeably once we filtered by category. Bought it for hotel prospecting across India. Saved us hours of manual cleanup.

Data2Sales AI Seller response 4 weeks ago

Great to hear the file landed well, great to see the data drove real campaign lift.

By Iqbal

1 month ago

Loaded the file the morning we got it. Address quality is the strongest column in the file. Worth the price.

Data2Sales AI Seller response 1 month ago

Thanks for sharing how you used it, we'll keep tightening the column coverage in the next refresh. Let us know if you'd like the file regenerated with extra columns next time.