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Tried three vendors before this. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Renewed for another quarter already.
Tried three vendors before this. Hours-of-operation field meant my SDRs called during open windows. Bought it while building a mortgage lending service prospecting workflow for India. Otherwise no complaints.
Solid file overall. Hours and GPS were the missing pieces in my last vendor's file — this has both. Will reconsider for the next refresh.
Plugged it straight into our outreach tooling. Google rating column came included, which we hadn't expected. Bought it to map mortgage lending service density across India. Worth the price.
Replaced an older vendor with this. Email coverage is the highest I've seen for India B2B data. Bought it for mortgage lending service prospecting across India. Saved us hours of manual cleanup.
Bought it to seed a CRM import. Loaded into Power BI without a single import warning. Bought it for India's mortgage lending service segment specifically. Money well spent.
Saved me a scraping project I'd been dreading. Imported into HubSpot in two clicks, every column mapped automatically. Bought it to support a mortgage lending service rollout in India. Genuinely useful.
Used it for a market-sizing exercise. Encoded UTF-8 with no character-set surprises in Excel. Bought it while building a mortgage lending service prospecting workflow for India. Will buy again.
Wanted a India list with verified phones. Refresh cadence means the data feels current, not 2-years-old. Bought it while planning a mortgage lending service campaign in India. Recommended.
Plugged it straight into our outreach tooling. Lat/long landed every pin on the right storefront in Mapbox. Bought it for mortgage lending service prospecting across India. Money well spent.
Honest reaction after a week of use: The phone column was live for 95% of the rows I tested. Bought it for a India-focused mortgage lending service territory cut. Renewed for another quarter already.
Last Update:
Aug 13, 2026 05:45 AM
Published:
May 11, 2026 02:27 AM
Rows (Regular):
1,934
Rows (Extended):
3,868
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
