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This dataset covers 7,412 verified records spread across 38+ districts in Maharashtra. 7,412 records carry a verified phone number and 2,594 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Navi Mumbai (1,753 listings), Dhule (877 listings), Mumbai City (584 listings), Jalgaon (438 listings), Beed (351 listings), Washim (292 listings), Gondia (250 listings), and Osmanabad (219 listings).
Additional coverage spans Chandrapur (195), Thane (175), Latur (159), Pune (146), Sangli (135), Mumbai (125), Palghar (117), Nanded (110), Solapur (103), Mumbai Suburban (97), Satara (92), Wardha (88) , plus 18 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Navi Mumbai | 1,753 | 1,753 | 614 |
| Dhule | 877 | 877 | 307 |
| Mumbai City | 584 | 584 | 204 |
| Jalgaon | 438 | 438 | 153 |
| Beed | 351 | 351 | 123 |
| Washim | 292 | 292 | 102 |
| Gondia | 250 | 250 | 88 |
| Osmanabad | 219 | 219 | 77 |
| Chandrapur | 195 | 195 | 68 |
| Thane | 175 | 175 | 61 |
| All districts (38) | 7,412 | 7,412 | 2,594 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Navi Mumbai | 1,753 | 1,753 | 614 |
| Dhule | 877 | 877 | 307 |
| Mumbai City | 584 | 584 | 204 |
| Jalgaon | 438 | 438 | 153 |
| Beed | 351 | 351 | 123 |
| Washim | 292 | 292 | 102 |
| Gondia | 250 | 250 | 88 |
| Osmanabad | 219 | 219 | 77 |
| Chandrapur | 195 | 195 | 68 |
| Thane | 175 | 175 | 61 |
| Latur | 159 | 159 | 56 |
| Pune | 146 | 146 | 51 |
| Sangli | 135 | 135 | 47 |
| Mumbai | 125 | 125 | 44 |
| Palghar | 117 | 117 | 41 |
| Nanded | 110 | 110 | 39 |
| Solapur | 103 | 103 | 36 |
| Mumbai Suburban | 97 | 97 | 34 |
| Satara | 92 | 92 | 32 |
| Wardha | 88 | 88 | 31 |
| Gadchiroli | 83 | 83 | 29 |
| Hingoli | 80 | 80 | 28 |
| Kolhapur | 76 | 76 | 27 |
| Sindhudurg | 73 | 73 | 26 |
| Bhandara | 70 | 70 | 25 |
| Aurangabad | 67 | 67 | 23 |
| Nagpur | 65 | 65 | 23 |
| Akola | 63 | 63 | 22 |
| Yavatmal | 60 | 60 | 21 |
| Amravati | 58 | 58 | 20 |
| Nandurbar | 57 | 57 | 20 |
| Nashik | 55 | 55 | 19 |
| Parbhani | 53 | 53 | 19 |
| Ratnagiri | 52 | 52 | 18 |
| Jalna | 50 | 50 | 18 |
| Buldhana | 49 | 49 | 17 |
| Ahmednagar | 48 | 48 | 17 |
| Raigad | 47 | 47 | 16 |
| All districts (38) | 7,412 | 7,412 | 2,594 |
The Tea restaurants database includes 7,412+ verified Tea restaurants in Maharashtra, 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 Tea footprint in Maharashtra, India sits at about 7,412+ restaurants this 2026. The CSV on this page covers all of them — phones, hours, GPS, the lot.
Right on this page — click Buy / Add to Cart and you'll receive a Data2Sales AI-verified Tea restaurants CSV covering all of Maharashtra, India within seconds. Every row is human-checked.
The CSV ships with one row per Tea location, columns covering Tea store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL plus website, opening-hours window, ratings and review counts. UTF-8 encoded — imports cleanly into HubSpot, Salesforce, Zoho or any CRM.
Each Tea row goes through phone validation, address cross-check against Google Maps and a check against the official Tea Maharashtra, India locator. Records that fail any of those drop before you ever see them.
Yes. The Tea restaurants 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 Tea 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 Tea restaurants — 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 Maharashtra, India consolidates 7,412+ 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 02:25 AM
Rows (Regular):
3,335
Rows (Extended):
7,412
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
