Data2Sales AI
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Verified buyers
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This dataset covers 263 verified records spread across 64+ districts in South Australia. 263 records carry a verified phone number and 92 include a business website — directly usable for outreach, segmentation, and CRM import.
The highest-density districts are Charles Sturt (55 listings), Port Adelaide Enfield (28 listings), West Torrens (18 listings), Prospect (14 listings), Peterborough (11 listings), Loxton Waikerie (9 listings), Coober Pedy (8 listings), and Flinders Ranges (7 listings).
Additional coverage spans Adelaide (6), Orroroo Carrieton (6), Grant (5), Mitcham (5), Alexandrina (4), Victor Harbor (4), Berri Barmera (4), Campbelltown (3), Holdfast Bay (3), Renmark Paringa (3), Copper Coast (3), Yorke Peninsula (3) , plus 44 more districts.
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Charles Sturt | 55 | 55 | 19 |
| Port Adelaide Enfield | 28 | 28 | 10 |
| West Torrens | 18 | 18 | 6 |
| Prospect | 14 | 14 | 5 |
| Peterborough | 11 | 11 | 4 |
| Loxton Waikerie | 9 | 9 | 3 |
| Coober Pedy | 8 | 8 | 3 |
| Flinders Ranges | 7 | 7 | 2 |
| Adelaide | 6 | 6 | 2 |
| Orroroo Carrieton | 6 | 6 | 2 |
| All districts (64) | 263 | 263 | 92 |
| Districts | Total | With mobile | With website |
|---|---|---|---|
| Charles Sturt | 55 | 55 | 19 |
| Port Adelaide Enfield | 28 | 28 | 10 |
| West Torrens | 18 | 18 | 6 |
| Prospect | 14 | 14 | 5 |
| Peterborough | 11 | 11 | 4 |
| Loxton Waikerie | 9 | 9 | 3 |
| Coober Pedy | 8 | 8 | 3 |
| Flinders Ranges | 7 | 7 | 2 |
| Adelaide | 6 | 6 | 2 |
| Orroroo Carrieton | 6 | 6 | 2 |
| Grant | 5 | 5 | 2 |
| Mitcham | 5 | 5 | 2 |
| Alexandrina | 4 | 4 | 1 |
| Victor Harbor | 4 | 4 | 1 |
| Berri Barmera | 4 | 4 | 1 |
| Campbelltown | 3 | 3 | 1 |
| Holdfast Bay | 3 | 3 | 1 |
| Renmark Paringa | 3 | 3 | 1 |
| Copper Coast | 3 | 3 | 1 |
| Yorke Peninsula | 3 | 3 | 1 |
| Kingston | 3 | 3 | 1 |
| Onkaparinga | 3 | 3 | 1 |
| Marion | 3 | 3 | 1 |
| Naracoorte Lucindale | 2 | 2 | 1 |
| Playford | 2 | 2 | 1 |
| Northern Areas | 2 | 2 | 1 |
| The Coorong | 2 | 2 | 1 |
| Wattle Range | 2 | 2 | 1 |
| Mallala | 2 | 2 | 1 |
| Gawler | 2 | 2 | 1 |
| Cleve | 2 | 2 | 1 |
| Light | 2 | 2 | 1 |
| Port Augusta | 2 | 2 | 1 |
| Barossa | 2 | 2 | 1 |
| Clare and Gilbert Valleys | 2 | 2 | 1 |
| Tumby Bay | 2 | 2 | 1 |
| Kimba | 2 | 2 | 1 |
| Roxby Downs | 1 | 1 | 0 |
| Karoonda East Murray | 1 | 1 | 0 |
| Southern Mallee | 1 | 1 | 0 |
| Unley | 1 | 1 | 0 |
| Port Pirie | 1 | 1 | 0 |
| Streaky Bay | 1 | 1 | 0 |
| Tea Tree Gully | 1 | 1 | 0 |
| Whyalla | 1 | 1 | 0 |
| Murray Bridge | 1 | 1 | 0 |
| Salisbury | 1 | 1 | 0 |
| Goyder | 1 | 1 | 0 |
| Lower Eyre Peninsula | 1 | 1 | 0 |
| Mount Gambier | 1 | 1 | 0 |
| Norwood Payneham and St Peters | 1 | 1 | 0 |
| Mount Remarkable | 1 | 1 | 0 |
| Ceduna | 1 | 1 | 0 |
| Port Lincoln | 1 | 1 | 0 |
| Elliston | 1 | 1 | 0 |
| Mid Murray | 1 | 1 | 0 |
| Walkerville | 1 | 1 | 0 |
| Mount Barker | 1 | 1 | 0 |
| Wakefield | 1 | 1 | 0 |
| Kangaroo Island | 1 | 1 | 0 |
| Robe | 1 | 1 | 0 |
| Barunga West | 1 | 1 | 0 |
| Franklin Harbour | 1 | 1 | 0 |
| Burnside | 1 | 1 | 0 |
| All districts (64) | 263 | 263 | 92 |
The Shoe stores database includes 263+ verified Shoe stores in South Australia, Australia 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.
Roxanne (AU) bought 1 day ago · Keith (AU) bought 2 days ago · Ozella (IN) bought 5 days ago · Maddison (AU) bought 5 days ago · Raghavan (AU) bought 6 days ago
There are roughly 263+ Shoe stores in South Australia, Australia as of 2026. The full list is available as a CSV download on this page with name, address, phone, hours and GPS coordinates for every location.
Data2Sales AI hosts the most up-to-date Shoe stores list for South Australia, Australia; checkout above delivers a same-second CSV with addresses, phones, GPS and operating hours.
Each Shoe record carries the full operational profile: Shoe store name, Street address, City, State / Region, Postal code, Country, Phone number, Website URL along with website, hours, Google rating and review volume. CSV opens directly in Excel / Sheets / Power BI / Looker.
We verify each Shoe 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 South Australia, Australia footprint, not last year's.
Yes. The Shoe 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 Shoe 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 Shoe stores — not a stale snapshot. You also get 7 days of unlimited re-downloads from a secure link sent to your email.
The World Wide Data Database for South Australia, Australia is a 263+ verified records directory of world wide data businesses — aggregated through the Data2Sales AI engine, cross-referenced across public business registries, official company websites, licensed directory partners, and social platforms, then re-verified monthly so every record in the export is deliverable on day one.
Buy multiple neighbouring states in a single file. Cheaper than the country pack, wider than any one state.
Last Update:
Aug 10, 2026 05:45 AM
Published:
May 11, 2026 01:54 AM
Rows (Extended):
263
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.