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.

Bicycle Repair Shop Database of Karnataka Latest August 2026 Updated (Updated August 2026) — Download CSV

Q: How many records are in Bicycle Repair Shop Database of Karnataka Latest August 2026 Updated?

This database contains 2,843 verified records.

Q: What is the price of Bicycle Repair Shop Database of Karnataka Latest August 2026 Updated?

$42.00. Buyers outside India see prices in their local currency at checkout.

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4 out of 5 stars

By Chand

2 weeks ago

Decent dataset for the price. Google rating column came included, which we hadn't expected. Bought it as the seed list for a bicycle repair shop outbound push in India. Minor cleanup needed but nothing major.

Data2Sales AI Seller response 2 weeks ago

Thanks for flagging the small gaps, we hear you on the gaps — the next monthly refresh tightens those exact columns. If you want the gaps fixed sooner than the next refresh, open a support ticket and we'll spin a one-off pull.