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Saved me a scraping project I'd been dreading. Loaded into Power BI without a single import warning. Bought it as the seed list for a home decor store outbound push in India. No complaints from the field reps.
Onboarded a junior with this dataset. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it while planning a home decor store campaign in India. Genuinely useful.
Compared this side-by-side with two competitors. Encoded UTF-8 with no character-set surprises in Excel. Bought it while building a home decor store prospecting workflow for India. Saved us hours of manual cleanup.
Used it for a market-sizing exercise. Lat/long landed every pin on the right storefront in Mapbox. Bought it for our home decor store sales team's India pipeline. Sales team is happy.
Compared this side-by-side with two competitors. ROAS improved roughly 30% versus the lookalike audience we ran before. Will be the default vendor for us now.
Tried three vendors before this. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Wished a few smaller towns had been included.
Field-tested by my team. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for our home decor store sales team's India pipeline. Decent value, would tighten one or two fields.
Last Update:
Aug 16, 2026 05:45 AM
Published:
May 11, 2026 02:29 AM
Rows (Regular):
1,469
Rows (Extended):
2,937
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
