Hotel Database

🗃️ Hotel Database for India-Wide Travel, Hospitality & Commercial Research

This category sits in the Travel & Accommodation sector and covers premises where no two nights cost the same. They are commonly listed as lodging establishments as well. The price moves with the calendar. A room sells for one figure on a Tuesday in July and three times that during a festival. Rates are adjusted daily against what is booked, and the tariff on the wall means very little. An unsold night cannot be recovered afterwards. Occupancy is watched more closely than any other figure. The category holds hotels on daily rates, chain and management contract premises, corporate rate properties, and fixed tariff hotels.

The Hotel Database brings this together as structured records covering business name, category, contact details, and location. Coverage runs India-wide. It takes in the business hotels in city commercial districts, the chain properties near transport hubs, and the smaller premises in town main streets. Records are gathered category-wise right across the country, so coverage reaches the smaller towns and not only the large cities. The result is a working base for finding the hotels that matter, instead of collecting contacts one search at a time.

🎯 Who Should Purchase This Database?

• Business development teams selling products or services to hotels
• Sales and marketing teams that need a nationwide category list, not a single city list
• Booking platforms taking commission
• Corporate clients holding rate agreements
• Market research firms studying the category by segment and location
• Consultancies working on feasibility studies, market studies, and entry plans
• Hospitality suppliers provisioning properties
• Lenders, investors, and advisory teams building a pipeline of businesses in the category
• Management companies operating premises
• Revenue and booking system providers

💡 Use Cases & Applications

• Find hotels across the country, not only in the metro cities
• Build outreach lists ahead of a season or conference cycle
• Shortlist hotels by location before sending a catalogue or an enquiry
• Identify hotels worth approaching for supply or systems work
• See where the category is dense and where it is thin
• Check an area before opening a new showroom, branch, or office
• Split the country into territories for a field or calling team
• Reach the chain operated properties rather than independent premises
• Support credit checks, investment screening, and feasibility work with organised data
• Fill gaps in an existing internal list instead of building it again from scratch

⚙️ Format and Compatibility

• Excel (.xlsx) or CSV format, ready to open and use with no conversion needed
• One business per row, with the same columns across every record
• Sort, filter, and segment by State, City, Postal Code, and Business Category, alone or together
• Excel is easy to review, sort, and filter. CSV is better for loading the records into another system
• Easy to split and share with colleagues inside the buying organisation, by team or by territory
• Column headers stay the same across every category file, so several files can be stacked into one sheet

📋 Included Fields (Structured & Enriched Data)

Business Information: Business Name, Business Category

Business Contact Information: Business Phone Number, Website

Location Information: Address, City, State, Postal Code

Data Quality: Valid Business Phone Number from Public Sources

🧩 Database Coverage

Geographic Coverage: Businesses across all states, Union Territories, districts, and cities in India, covering urban, semi-urban, and rural business locations, as well as commercial corridors, industrial areas, retail markets, business hubs, institutional areas, and surrounding business communities.

Business Segments: Manufacturer, Supplier, Distributor, Wholesaler, Retail Business, Dealer, Trader, Exporter, Importer, Service Provider, Agency, Consultant, Franchise Business, Ecommerce Business, Industrial Business, Commercial Establishment, Corporate Office, Branch Office, Warehouse, Distribution Center.

Business Types: Sole Proprietorship, Partnership, One Person Company (OPC), LLP, Private Limited Company, Public Limited Company, Startup, Unregistered Business, Educational Institution, Healthcare Establishment, Financial Institution, Trust, Association, Cooperative Society, Religious Organization, Community Organization.

Business Size: Home-Based Business, Micro Business, Small Business, Medium Business, MSME, SME, Mid-Market Business, Large Business, Enterprise, Multi-Location Business, Chain Business, Regional Business.

Business Model: Businesses operating across B2B, B2C, D2C, and other commercial business models represented within this business category.

✅ Verified Quality Data – High Accuracy

• Records collected from publicly available sources and business websites.
• Phone numbers stored in a valid, consistent format before a record is added, so every number is usable as it stands.
• Records placed into the same fields, so every row can be read and compared the same way.
• Category labels standardised across the file, so the same kind of work carries the same label in every record.
• Duplicate and repeated entries reduced by matching name, phone number, and address.
• Addresses split into City, State, and Postal Code so location filters work properly.
• Incomplete entries, clear errors, and listings that belong to another trade removed before release.
• Business information is kept at an accuracy level of between 85% and 95%, and files are updated from time to time.

⭐ Why Buy Hotel Database from India Biz Data?

• One file covering these premises nationally, town main streets and all.
• Reach the whole range, whether a twelve room property or a chain hotel with three hundred.
• Save the hours spent searching directories and cleaning up the results.
• Start with ready-structured records, so time goes into analysis instead of formatting.
• Split the country into territories a field or calling team can be held to, using location and category together.
• See which cities carry hotel capacity and how it clusters around transport.
• Work from one consistent file across teams, instead of several partial lists that do not match.
• Buy from a supplier that states clearly what the data is, where it comes from, and what it does not include.

🛡️ Data Usage & Compliance

The Hotel Database supports legitimate commercial work such as business research, sourcing, market study, and professional outreach. It is business information and does not include personal phone numbers, personal email addresses, consumer information, employee personal contacts, or executive personal contacts. Access is licensed to the buying organisation. The file can be used and shared within that organisation. It cannot be resold, redistributed, published, or passed to another organisation or third party.

The database provides publicly available business information for legitimate business research and commercial purposes. Users are responsible for complying with applicable laws, regulations, consent requirements, and responsible communication practices when using the information for outreach.

❓ Frequently Asked Questions (FAQ)

1. What is included in the Hotel Database?

Each record covers one hotel, lodging property, or chain premises, and carries Business Name, Business Category, Business Phone Number, Website, Address, City, State, and Postal Code. Together these are enough to identify a business, find where it is, see what it does, and contact it. The category field records the kind of hotel operation the business is listed under.

2. Is every hotel in the country covered?

The file takes in every business in this category that can be found in public sources and carries a business phone number, right across the country. That covers hotels working across B2B, B2C, and D2C activity, including the small unregistered ones that registry-based lists usually miss. Coverage reaches the metro cities, the state capitals, and the district towns.

3. Can I get a hotel list limited to particular states or cities?

Yes. The scope can be narrowed to selected states or cities before the order is placed. The category itself stays as supplied, so the file is not split by rooms held or operating arrangement. Anything of this sort should be raised before payment, because the file is prepared to the scope ordered and is not re-filtered after delivery.

4. Does the database include email addresses or personal contact details?

No. The contact fields are the business phone number and website. There are no email addresses, no personal or home numbers, and no owner, manager, or front office staff contacts. This is on purpose. The data is business information, and the phone and website are the fields that can be collected from public sources and stored in a valid format.

5. How current is the data, and how often is it updated?

Files are rebuilt and updated from time to time rather than left unchanged, and the date of a category file is confirmed before purchase. Business data changes all the time, so some numbers and websites in any list of this kind will go out of date. Accuracy across the file runs between 85% and 95%, and a recently updated file matters more than a large one.

6. How are the cost and the record count confirmed?

Both are shown on the product page. The record count is listed for the category, and the cost is worked out from that count, so the two move together. The count changes when a file is rebuilt, or when a narrower scope is ordered. The figures on the page at the time of ordering are the ones that apply.

7. What should be confirmed before placing an order?

Scope and file format are the things to settle. The Hotel Database covers the category across the country unless a narrower area is asked for. It can be supplied as Excel or CSV, and the record count and cost are shown on the product page. A sample can be reviewed first to check the fields and the category structure.

8. What kinds of premises are in the file?

The mix follows the rate. Hotels adjusting prices daily make up a large share, and the published tariff rarely applies. Beyond them the file holds premises attached to chains and management contracts. There are also properties serving business travellers on corporate terms, and smaller hotels working to fixed tariffs. Each record shows the specific business category the hotel is listed under, and other categories within the same sector are available as separate files.

9. How can I filter the required businesses from the sheet?

The Excel or CSV file can be filtered using the fields it contains, such as Business Category, City, State, and Postal Code. The filter and sort options in Excel or any compatible spreadsheet software can be used to pick out the businesses that match a given requirement.

10. What is the expected delivery time?

Once payment is confirmed, the file is prepared to the agreed scope. It is sent by email as a single Excel or CSV file, as requested, within 24 to 48 hours. Orders placed during business hours are often delivered within a few hours. In rare cases, an unexpected technical issue may extend delivery to about a week. Nothing further is needed from the customer, and the file arrives ready to open, sort, filter, and use.

🚀 Explore Business Opportunities in the Hotel Category with Structured Commercial Intelligence

Booking platforms, corporate clients, and hospitality suppliers need the premises, how they price, and a way in. An organised file replaces the search bar for that. Coverage runs across daily rate hotels, chain properties, corporate hotels, and fixed tariff premises.

• Reach hotels in the smaller towns, not just the big cities.
• Build supply contracts and systems placements from organised records.
• Plan territories and check competition from the same file.
• Segment by location and category to fit your own targeting.

Request a sample dataset or share your requirements to check coverage, categories, count, and cost for this category. Any customisation your research or outreach work needs can be discussed at the same time.