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Saved me a scraping project I'd been dreading. Google rating column came included, which we hadn't expected. Bought it for a India-focused commercial real estate developer territory cut. Will be the default vendor for us now.
Bought a sample first. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it as part of a wider commercial real estate developer expansion into India. Decent value, would tighten one or two fields.
First impression after the download: Categorisation was granular enough to segment by sub-vertical without regex. Bought it to support a commercial real estate developer rollout in India. Recommended.
Stress-tested it during a client pitch. Categorisation was granular enough to segment by sub-vertical without regex. Bought it as the seed list for a commercial real estate developer outbound push in India. Will be the default vendor for us now.
Pulled the trigger after reading the row count. Address quality is the strongest column in the file. Bought it to handle commercial real estate developer lead-gen for the India region. Recommended.
Needed it for a fast launch. Imported into HubSpot in two clicks, every column mapped automatically. Worth the price.
Field-tested by my team. Hours-of-operation field meant my SDRs called during open windows. Bought it for a India-focused commercial real estate developer territory cut. Renewed for another quarter already.
Field-tested by my team. Imported into HubSpot in two clicks, every column mapped automatically. Saved us hours of manual cleanup.
Working a cold outbound territory in India. The phone hours column meant my SDRs called during open windows, connect rate jumped from 8 to 14%.
Last Update:
Aug 13, 2026 05:45 AM
Published:
Apr 22, 2026 01:05 AM
Rows (Regular):
6,248
Rows (Extended):
12,496
Category:
