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This dataset covers 157 verified records spread across 35+ states in India. 157 records carry a verified phone number and 55 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density states are Uttar Pradesh (18 listings), Maharashtra (15 listings), West Bengal (9 listings), Tamil Nadu (9 listings), Bihar (9 listings), Rajasthan (8 listings), Madhya Pradesh (8 listings), and Karnataka (8 listings).
Additional coverage spans Gujarat (8), Andhra Pradesh (6), Haryana (6), Kerala (5), Delhi (5), Telangana (5), Odisha (5), Jharkhand (4), Punjab (4), Assam (3), Chhattisgarh (3), Goa (2) , plus 15 more states.
| States | Total | With mobile | With website |
|---|---|---|---|
| Uttar Pradesh | 18 | 18 | 6 |
| Maharashtra | 15 | 15 | 5 |
| West Bengal | 9 | 9 | 3 |
| Tamil Nadu | 9 | 9 | 3 |
| Bihar | 9 | 9 | 3 |
| Rajasthan | 8 | 8 | 3 |
| Madhya Pradesh | 8 | 8 | 3 |
| Karnataka | 8 | 8 | 3 |
| Gujarat | 8 | 8 | 3 |
| Andhra Pradesh | 6 | 6 | 2 |
| Haryana | 6 | 6 | 2 |
| Kerala | 5 | 5 | 2 |
| Delhi | 5 | 5 | 2 |
| Telangana | 5 | 5 | 2 |
| Odisha | 5 | 5 | 2 |
| Jharkhand | 4 | 4 | 1 |
| Punjab | 4 | 4 | 1 |
| Assam | 3 | 3 | 1 |
| Chhattisgarh | 3 | 3 | 1 |
| Goa | 2 | 2 | 1 |
| Uttarakhand | 2 | 2 | 1 |
| Chandigarh | 2 | 2 | 1 |
| Andaman and Nicobar Islands | 1 | 1 | 0 |
| Himachal Pradesh | 1 | 1 | 0 |
| Arunachal Pradesh | 1 | 1 | 0 |
| Tripura | 1 | 1 | 0 |
| Sikkim | 1 | 1 | 0 |
| Puducherry | 1 | 1 | 0 |
| Nagaland | 1 | 1 | 0 |
| Mizoram | 1 | 1 | 0 |
| Manipur | 1 | 1 | 0 |
| Meghalaya | 1 | 1 | 0 |
| Ladakh | 1 | 1 | 0 |
| Dadra and Nagar Haveli and Daman and Diu | 1 | 1 | 0 |
| Jammu and Kashmir | 1 | 1 | 0 |
| All states (35) | 157 | 157 | 55 |
The Thrift stores database includes 153+ verified Thrift stores in India with name, address, city, state, phone, hours, website and GPS coordinates. The file is delivered as a CSV ready for CRM import or BI analysis.
Counting only operational sites, the Thrift footprint in India sits at about 153+ stores this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Data2Sales AI hosts the most up-to-date Thrift stores list for India; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Every record in the Thrift stores dataset includes: Thrift store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL and more. The file is delivered as a UTF-8 CSV that opens in Excel, Google Sheets or any standard CRM importer.
We verify each Thrift entry against the brand's official locator, Google Places and our directory partners on a 30-day cycle. Anything closed or with a dead phone gets dropped before export, so the CSV is the live India footprint, not last year's.
Yes. The Thrift stores dataset is rebuilt on a rolling 30-day cycle — new openings come in through franchise expansion feeds and registrar filings, closures are detected from negative Google signals (phone disconnected, 'permanently closed' markers) and dropped before export.
Yes — the dataset is licensed for commercial use after purchase. Common use cases include geo-targeted advertising against Thrift catchments, competitor benchmarking, site-selection analytics, supplier outreach and franchise planning. Personal consumer data is not included, only publicly listed business contact information.
You receive a UTF-8 encoded CSV file. It opens cleanly in Excel, Google Sheets, Power BI, Looker Studio and every major CRM (HubSpot, Salesforce, Zoho, Pipedrive). XLSX is available on request after purchase.
Within 30 seconds of successful payment. The CSV is generated fresh from the live database at purchase time, so you always receive the latest verified Thrift stores — not a stale snapshot. 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 153+ 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):
153
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