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This dataset covers 3,320 verified records spread across 64+ districts in South Australia. 3,320 records carry a verified phone number and 1,162 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Grant (700 listings), Port Augusta (350 listings), Roxby Downs (233 listings), Kangaroo Island (175 listings), Tea Tree Gully (140 listings), Gawler (117 listings), Whyalla (100 listings), and Berri Barmera (87 listings).
Additional coverage spans Mount Remarkable (78), Southern Mallee (70), Burnside (64), Marion (58), Naracoorte Lucindale (54), Walkerville (50), Elliston (47), Victor Harbor (44), Barossa (41), Port Lincoln (39), Franklin Harbour (37), Mount Barker (35) , plus 44 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Grant | 700 | 700 | 245 |
| Port Augusta | 350 | 350 | 123 |
| Roxby Downs | 233 | 233 | 82 |
| Kangaroo Island | 175 | 175 | 61 |
| Tea Tree Gully | 140 | 140 | 49 |
| Gawler | 117 | 117 | 41 |
| Whyalla | 100 | 100 | 35 |
| Berri Barmera | 87 | 87 | 30 |
| Mount Remarkable | 78 | 78 | 27 |
| Southern Mallee | 70 | 70 | 25 |
| All districts (64) | 3,320 | 3,320 | 1,162 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Grant | 700 | 700 | 245 |
| Port Augusta | 350 | 350 | 123 |
| Roxby Downs | 233 | 233 | 82 |
| Kangaroo Island | 175 | 175 | 61 |
| Tea Tree Gully | 140 | 140 | 49 |
| Gawler | 117 | 117 | 41 |
| Whyalla | 100 | 100 | 35 |
| Berri Barmera | 87 | 87 | 30 |
| Mount Remarkable | 78 | 78 | 27 |
| Southern Mallee | 70 | 70 | 25 |
| Burnside | 64 | 64 | 22 |
| Marion | 58 | 58 | 20 |
| Naracoorte Lucindale | 54 | 54 | 19 |
| Walkerville | 50 | 50 | 18 |
| Elliston | 47 | 47 | 16 |
| Victor Harbor | 44 | 44 | 15 |
| Barossa | 41 | 41 | 14 |
| Port Lincoln | 39 | 39 | 14 |
| Franklin Harbour | 37 | 37 | 13 |
| Mount Barker | 35 | 35 | 12 |
| Charles Sturt | 33 | 33 | 12 |
| Clare and Gilbert Valleys | 32 | 32 | 11 |
| Ceduna | 30 | 30 | 11 |
| Barunga West | 29 | 29 | 10 |
| Streaky Bay | 28 | 28 | 10 |
| Goyder | 27 | 27 | 9 |
| Mallala | 26 | 26 | 9 |
| West Torrens | 25 | 25 | 9 |
| Kimba | 24 | 24 | 8 |
| Unley | 23 | 23 | 8 |
| Port Pirie | 23 | 23 | 8 |
| Coober Pedy | 22 | 22 | 8 |
| Adelaide | 21 | 21 | 7 |
| Salisbury | 21 | 21 | 7 |
| Alexandrina | 20 | 20 | 7 |
| Peterborough | 19 | 19 | 7 |
| Northern Areas | 19 | 19 | 7 |
| Karoonda East Murray | 18 | 18 | 6 |
| Wakefield | 18 | 18 | 6 |
| Norwood Payneham and St Peters | 17 | 17 | 6 |
| Robe | 17 | 17 | 6 |
| Mount Gambier | 17 | 17 | 6 |
| Yorke Peninsula | 16 | 16 | 6 |
| Light | 16 | 16 | 6 |
| Prospect | 16 | 16 | 6 |
| Cleve | 15 | 15 | 5 |
| Campbelltown | 15 | 15 | 5 |
| Murray Bridge | 15 | 15 | 5 |
| Mid Murray | 14 | 14 | 5 |
| Holdfast Bay | 14 | 14 | 5 |
| Copper Coast | 14 | 14 | 5 |
| The Coorong | 13 | 13 | 5 |
| Flinders Ranges | 13 | 13 | 5 |
| Port Adelaide Enfield | 13 | 13 | 5 |
| Renmark Paringa | 13 | 13 | 5 |
| Playford | 12 | 12 | 4 |
| Mitcham | 12 | 12 | 4 |
| Lower Eyre Peninsula | 12 | 12 | 4 |
| Onkaparinga | 12 | 12 | 4 |
| Kingston | 12 | 12 | 4 |
| Wattle Range | 12 | 12 | 4 |
| Tumby Bay | 11 | 11 | 4 |
| Orroroo Carrieton | 11 | 11 | 4 |
| Loxton Waikerie | 11 | 11 | 4 |
| All districts (64) | 3,320 | 3,320 | 1,162 |
The Auto Repair Services database for South Australia, Australia includes 3,320+ 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.
Alexzander (AU) bought 2 days ago · Leah (AU) bought 2 days ago · Leanne (AU) bought 1 week ago · Lilly (AU) bought 1 week ago · Tiffany (AU) bought 1 week ago
The Auto Repair Services database for South Australia, Australia contains 3,320+ 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 Auto Repair Services database for South Australia, Australia 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 auto repair services footprint in South Australia, Australia.
Yes. The Auto Repair Services 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.
Looking to reach world wide data decision-makers in South Australia, Australia? This database aggregates 3,320+ verified records through the Data2Sales AI engine, pulling from verified public registries, official websites, social profiles, and licensed data partners. Dead numbers, closed storefronts, and duplicates are stripped before export — you receive a clean, CRM-ready CSV.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Jul 08, 2026 13:38 PM
Published:
May 11, 2026 01:54 AM
Rows (Regular):
1,494
Rows (Extended):
3,320
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
