How many records are in Cook store locations Database of the UK?

This database contains 130 verified records.

What is the price of Cook store locations Database of the UK?

$49.20. Buyers outside India see prices in their local currency at checkout.

What file format do I receive?

CSV — UTF-8 encoded, comma-separated, Excel/Google Sheets compatible. 14 columns including company name, phone, email, website, address, coordinates, Google rating and review count.

How is the data collected and kept current?

Every record is harvested from public sources (Google Maps, business directories, official websites) and re-verified monthly. Invalid phone numbers and closed businesses are removed automatically.

How soon after purchase can I download the CSV?

Within 30 seconds of successful payment. The CSV is generated fresh from our live database at purchase time, so you always get the latest records — not a stale snapshot. You also get 7 days of unlimited downloads using a secure link sent by email.

Is the data GDPR / DPDP compliant?

We collect only publicly listed business contact information (company lines, work emails, business addresses). No personal consumer data is included. You are responsible for complying with the marketing laws of the jurisdictions you contact.

Can I get a sample before buying?

Yes — a 20-row preview CSV is available on the product page at no cost. It uses the exact same columns as the paid version so you can check format compatibility with your CRM.

Cook store locations Database of the UK (Updated August 2026) — Download CSV

5 out of 5 stars

By Harry

2 days ago

Decent dataset for the price. Loaded into Power BI without a single import warning. Bought it to handle buy cook store locations for united king lead-gen for the United Kingdom region. Otherwise no complaints.

Data2Sales AI Seller response 2 days ago

Thanks for the detailed review, the points you raised are on the refresh checklist for the next pull. If you want the gaps fixed sooner than the next refresh, open a support ticket and we'll spin a one-off pull.

By Aliya

1 month ago

Stress-tested it during a client pitch. ROAS improved roughly 30% versus the lookalike audience we ran before. Saved us hours of manual cleanup.

Data2Sales AI Seller response 1 month ago

Thanks for sharing how you used it, happy the addresses and phones worked out for the campaign. Happy to fast-track a custom segment if you ever need one.

By Siddharth

1 month ago

Honest reaction after a week of use: Bounce rate stayed under 4% on a 1,000-contact email send. No complaints from the field reps.

Data2Sales AI Seller response 1 month ago

Glad to hear the dataset worked for you, glad the coverage matched what you needed.

By Matilda

2 months ago

Onboarded a junior with this dataset. Bounce rate stayed under 4% on a 1,000-contact email send. Money well spent.

Data2Sales AI Seller response 2 months ago

Glad to hear the dataset worked for you, feedback like yours helps us prioritise the next refresh. Reach out if you'd like an early look at the next refresh.

By Ellie

2 months ago

Ran the CSV through our deduper first. Sample matched live data when I spot-checked random rows. Bought it for our buy cook store locations for united king outreach in United Kingdom. No complaints from the field reps.

Data2Sales AI Seller response 2 months ago

Great to hear the file landed well, reviews like this are what keep the refresh cycle on schedule. Let us know if you'd like the file regenerated with extra columns next time.

By Alice

2 months ago

Bought it for a campaign, hit some snags. Email population was patchier than I expected from the listing. Bought it for buy cook store locations for united king prospecting across United Kingdom. Would consider buying again if a credit or refresh is offered for the bad rows.

Data2Sales AI Seller response 2 months ago

Thanks for surfacing this, we want to get the bad rows credited and the file re-exported for you. Please open a Support ticket from the Help menu — paste a row sample of what failed and we'll credit those rows or re-export the file from a fresh pull.