Trading restaurants in Cardiff that were each checked individually and found to have no website of their own. A Facebook page or a directory listing does not count.
category column in any spreadsheet| Business | Postcode | Landline | Business email | Social |
|---|---|---|---|---|
| Thai and Asian Delish | CF10 1AU | 029 •••• •••• | ✓ | |
| Flame Grillhouse | CF11 6QS | 029 •••• •••• | in••@flamegrillhouse.co.uk | ✓ |
| Tukka Tuk | CF10 1AU | ✓ | ||
| Harafs | CF11 7AN | 029 •••• •••• | ✓ | |
| Real Ting | CF10 1AU | in••@therealting.co.uk |
Contact details are masked here and unmasked in the download.
Each business was looked up individually: its name and town were searched, likely domains were tested, and any site found was checked to confirm it actually belongs to that business. Only businesses where nothing of their own was found are included. A Facebook page or a directory listing does not count as a website. The date of the check is in the file.
Business landlines where listed, public Facebook and Instagram pages where known, and role email addresses on the company's own domain (info@, hello@) where one was found. We deliberately exclude mobile numbers and personal or freemail addresses, so you are not buying personal data.
Yes, used properly. Limited companies can be emailed and called at business addresses under PECR. Sole traders count as individuals, so call the business landline, visit, or message their public page rather than emailing. A plain-English guide is in the README inside the download.
Lists are rebuilt every week from the live database. Your download link stays active for 30 days, so you can pull the newest version again for free within that window.
Business names and locations originate from OpenStreetMap (© OpenStreetMap contributors, ODbL). The no-website verification, contact enrichment and cleaning are our own work. The file is supplied under the ODbL.
A zip containing a UTF-8 CSV (opens cleanly in Excel, Numbers and Google Sheets) plus a README. Because it is delivered instantly, refunds are given if the file is faulty or materially not as described. The sample above is real rows from the file.