How many records are in Shoe Retail Chain Database of Tamil Nadu Latest August 2026 Updated?

This database contains 6,700 verified records.

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.

Shoe Retail Chain Database of Tamil Nadu Latest August 2026 Updated (Updated August 2026) — Download CSV

Q: What is the price of Shoe Retail Chain Database of Tamil Nadu Latest August 2026 Updated?

$35.98. Buyers outside India see prices in their local currency at checkout.

5 out of 5 stars

By Teena

1 week ago

Saved me a scraping project I'd been dreading. Website URLs were populated for ~80% of rows, far better than the competition. Will be the default vendor for us now.

Data2Sales AI Seller response 6 days ago

Thank you for the kind review, feedback like yours helps us prioritise the next refresh. Drop us a line any time you need a custom cut.

By Bhairavi

1 week ago

Picked it up for a one-off campaign. Catchment overlap with our existing CRM was minimal — almost all net-new leads. No complaints from the field reps.

Data2Sales AI Seller response 1 week ago

Thanks for sharing how you used it, always good to hear from buyers using the file for real outreach. Reach out if you'd like an early look at the next refresh.

By Mridula

2 weeks ago

Bought this for a cold outbound push. Address quality is the strongest column in the file. Bought it for our shoe retail chain outreach in India. Will reconsider for the next refresh.

Data2Sales AI Seller response 1 week ago

Appreciate the constructive note, we hear you on the gaps — the next monthly refresh tightens those exact columns. Drop a note via Help → Contact Support and we'll line up a fresh export for you.

By Nagma

3 weeks ago

Wanted a India list with verified phones. Connect rate jumped noticeably once we filtered by category. Renewed for another quarter already.

Data2Sales AI Seller response 3 weeks 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 Mowgli

4 weeks ago

Picked it up for cold outbound. Imported into HubSpot in two clicks, every column mapped automatically. Acceptable trade-off at this price.

Data2Sales AI Seller response 3 weeks 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.

By Himani

1 month ago

Used the CSV for a territory carve-up across India. Wished a few of the smaller towns had been included, but the big metros were complete.

Data2Sales AI Seller response 1 month ago

Appreciate the write-up, 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.