How many records are in Giant Bicycles dealership locations Database of Australia?

This database contains 168 verified records.

What is the price of Giant Bicycles dealership locations Database of Australia?

$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.

Giant Bicycles dealership locations Database of Australia (Updated August 2026) — Download CSV

5 out of 5 stars

By Eleanor

1 month ago

Bought this for a cold outbound push. Sample matched live data when I spot-checked random rows. Worth the price.

Data2Sales AI Seller response 1 month ago

Thanks for sharing how you used it, great to see the data drove real campaign lift. Happy to fast-track a custom segment if you ever need one.

By Shane

2 months ago

Ran the CSV through our deduper first. The phone column was live for 95% of the rows I tested. Saved us hours of manual cleanup.

Data2Sales AI Seller response 2 months ago

Means a lot to hear that, happy the addresses and phones worked out for the campaign. Let us know if you'd like the file regenerated with extra columns next time.

By Jarrod

2 months ago

Live-tested 30 random rows before committing. Google rating column came included, which we hadn't expected. Bought it while building a giant bicycles dealership locations for prospecting workflow for Australia. Saved us hours of manual cleanup.

Data2Sales AI Seller response 2 months ago

Appreciate you flagging what worked, glad the coverage matched what you needed. Happy to fast-track a custom segment if you ever need one.

By Hailey

2 months ago

Looking to scope a regional rollout. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it as part of a wider giant bicycles dealership locations for expansion into Australia. Genuinely useful.

Data2Sales AI Seller response 2 months ago

Thanks for sharing how you used it, always good to hear from buyers using the file for real outreach.

By Sigrid

1 month ago

Wanted to like this more than I did. LinkedIn URL coverage was lower than the page suggested. Bought it to support a giant bicycles dealership locations for rollout in Australia. Would consider buying again if a credit or refresh is offered for the bad rows.

Data2Sales AI Seller response 1 month ago

Sorry the file didn't fully land for you, we want to make this right. Please file a Support ticket (Help menu in your dashboard) with the failing row IDs — we'll either refresh the export or credit the bad rows the same day.

By Maybell

1 month ago

Bought this for a cold outbound push. Refresh cadence means the data feels current, not 2-years-old. Connect rate could have been higher with cleaner mobile numbers.

Data2Sales AI Seller response 1 month ago

Good to know what worked and what didn't, we hear you on the gaps — the next monthly refresh tightens those exact columns. Open a ticket via the Support tab and we'll prioritise the columns you flagged for the next refresh.