Bangalore (Bengaluru) Restaurant Database

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Quality Controlled Methodology : Data. A system or process that produces high quality outcomes must be reliable.

Buy Quality Bengaluru (Bangalore) Restaurant Database

Are you looking for Bengaluru (Bangalore) Restaurant Databases or its Services Provider Company Online or VendorAll or Complete Restaurants List of Bengaluru (Bangalore) City? Or some exciting Sale, Offers and Discounts to Purchase.

Initially, in 2008 it was seen that on a average a Banglaorean eats out once in eight days. This figure has totally changed. In 2015, it is seen that a person eats once out in every three days. In the past 6 years, Bengaluru has seen a phenomenal growth in the number of restaurants. There are close to 1400 new restaurants that have opened. Out of this number, 88% new restaurants belong to these 3 categories:

  • Casual dining (Average spends per person ranges from Rs.550 to Rs.750)
  • Casual fast dining (Average spends per person ranges from Rs.375 to Rs550)
  • Quick service restaurants (Average spends per person ranges from Rs.260 to Rs.375)

At Buydata we provide a database that will help you in contacting these restaurants based in this city. This database is well planned and structured. It is in a listing format in an excel file and a sample database can also be downloaded. We believe in providing updated and complete lists.

We also offer deals and offers. Our web based services are cheap as well as affordable that will help you with B2B transactions

Who can benefit from Bengaluru Restaurant database?

  • Interior designing companies can contact restaurants for interior fittings, designing, fixtures and more.
  • Hotels can contact such restaurant owners to set up in house hotel restaurant outlets.

What our clients said about us?

Best Data Provider out there. Loved the accuracy and transparency. Would recommend this company.

— Pavan (Lodha Group)

The Team is very helpful and provided targeted custom data for my Campaign.

— Aakriti (HNI)

5 stars for data quality and team effort, always recommend dataprolix for better data connectivity.

— Ravi (Policy Crew)