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This dataset covers 421 verified records spread across 36+ states in India. 421 records carry a verified phone number and 147 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density states are Maharashtra (36 listings), Uttar Pradesh (35 listings), Karnataka (28 listings), Gujarat (27 listings), Tamil Nadu (25 listings), Madhya Pradesh (23 listings), Rajasthan (18 listings), and West Bengal (17 listings).
Additional coverage spans Telangana (17), Haryana (17), Andhra Pradesh (16), Kerala (16), Delhi (15), Bihar (15), Odisha (12), Punjab (12), Chhattisgarh (9), Jharkhand (8), Goa (8), Assam (8) , plus 16 more states.
| States | Total | With mobile | With website |
|---|---|---|---|
| Maharashtra | 36 | 36 | 13 |
| Uttar Pradesh | 35 | 35 | 12 |
| Karnataka | 28 | 28 | 10 |
| Gujarat | 27 | 27 | 9 |
| Tamil Nadu | 25 | 25 | 9 |
| Madhya Pradesh | 23 | 23 | 8 |
| Rajasthan | 18 | 18 | 6 |
| West Bengal | 17 | 17 | 6 |
| Telangana | 17 | 17 | 6 |
| Haryana | 17 | 17 | 6 |
| Andhra Pradesh | 16 | 16 | 6 |
| Kerala | 16 | 16 | 6 |
| Delhi | 15 | 15 | 5 |
| Bihar | 15 | 15 | 5 |
| Odisha | 12 | 12 | 4 |
| Punjab | 12 | 12 | 4 |
| Chhattisgarh | 9 | 9 | 3 |
| Jharkhand | 8 | 8 | 3 |
| Goa | 8 | 8 | 3 |
| Assam | 8 | 8 | 3 |
| Chandigarh | 7 | 7 | 2 |
| Uttarakhand | 6 | 6 | 2 |
| Arunachal Pradesh | 5 | 5 | 2 |
| Himachal Pradesh | 5 | 5 | 2 |
| Jammu and Kashmir | 4 | 4 | 1 |
| Sikkim | 4 | 4 | 1 |
| Nagaland | 3 | 3 | 1 |
| Tripura | 3 | 3 | 1 |
| Puducherry | 3 | 3 | 1 |
| Mizoram | 3 | 3 | 1 |
| Manipur | 3 | 3 | 1 |
| Meghalaya | 3 | 3 | 1 |
| Ladakh | 3 | 3 | 1 |
| Dadra and Nagar Haveli and Daman and Diu | 3 | 3 | 1 |
| Lakshadweep | 2 | 2 | 1 |
| Andaman and Nicobar Islands | 2 | 2 | 1 |
| All states (36) | 421 | 421 | 147 |
The Rail Freight Operators database for India includes 421+ 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.
The Rail Freight Operators database for India contains 421+ verified businesses as of 2026, each with phone, email, address, website and GPS coordinates. The full record count is shown on this page above.
The complete Rail Freight Operators database for 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.
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.
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 rail freight operators footprint in India.
Yes. The Rail Freight Operators 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.
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.
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.
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.
Data2Sales AI's World Wide Data database for India consolidates 421+ verified records into a single, verified contact list. The engine crosses multiple sources — official websites, business registries, social profiles, licensed directories — and validates each record monthly, so your sales pipeline starts with accurate data instead of a spreadsheet of guesses.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 02:20 AM
Rows (Extended):
421
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