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.

Architectural Service Database of Punjab Latest August 2026 Updated (Updated August 2026) — Download CSV

Q: How many records are in Architectural Service Database of Punjab Latest August 2026 Updated?

This database contains 3,585 verified records.

Q: What is the price of Architectural Service Database of Punjab Latest August 2026 Updated?

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

5 out of 5 stars

By Owais

6 days ago

Compared this side-by-side with two competitors. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for a India architectural service market-sizing project. Recommended.

Data2Sales AI Seller response 5 days ago

Thanks for sharing how you used it, great to see the data drove real campaign lift.

By Sai

1 week ago

Solid file overall. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Couple of small gaps but workable.

Data2Sales AI Seller response 1 week ago

Thanks for the detailed review, the points you raised are on the refresh checklist for the next pull. Open a ticket via the Support tab and we'll prioritise the columns you flagged for the next refresh.

By Mohit

1 week ago

Loaded the file the morning we got it. Google rating column came included, which we hadn't expected. Bought it while planning a architectural service campaign in India. Will be the default vendor for us now.

Data2Sales AI Seller response 1 week ago

Glad to hear the dataset worked for you, 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 Gulzar

1 week ago

Tried three vendors before this. Connect rate jumped noticeably once we filtered by category. Bought it as part of a wider architectural service expansion into India. Will reconsider for the next refresh.

Data2Sales AI Seller response 1 week ago

Thanks for the detailed review, we're actively working on the gaps you called out. If you want the gaps fixed sooner than the next refresh, open a support ticket and we'll spin a one-off pull.

By Kasturi

3 weeks ago

Solid file overall. The phone column was live for 95% of the rows I tested. Bought it as the seed list for a architectural service outbound push in India. Otherwise no complaints.

Data2Sales AI Seller response 3 weeks ago

Thanks for flagging the small gaps, the points you raised are on the refresh checklist for the next pull. Open a ticket via the Support tab and we'll prioritise the columns you flagged for the next refresh.

By Teena

1 month ago

Replaced an older vendor with this. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for India's architectural service segment specifically. Money well spent.

Data2Sales AI Seller response 1 month ago

Means a lot to hear that, we'll keep tightening the column coverage in the next refresh. Let us know if you'd like the file regenerated with extra columns next time.