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Saved me a scraping project I'd been dreading. Loaded into Power BI without a single import warning. Bought it while planning a stationery retail store campaign in United States. Sales team is happy.
Decent dataset for the price. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to handle stationery retail store lead-gen for the United States region. Couple of small gaps but workable.
Solid file overall. Google rating column came included, which we hadn't expected. Otherwise no complaints.
Looking to scope a regional rollout. Hours-of-operation field meant my SDRs called during open windows. Bought it to map stationery retail store density across United States. Genuinely useful.
Picked it up for cold outbound. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Will reconsider for the next refresh.
Tried three vendors before this. Encoded UTF-8 with no character-set surprises in Excel. Bought it for our stationery retail store sales team's United States pipeline. Renewed for another quarter already.
Honest reaction after a week of use: Sample matched live data when I spot-checked random rows. Bought it for our stationery retail store sales team's United States pipeline. Couple of small gaps but workable.
Pulled the trigger after reading the row count. Connect rate jumped noticeably once we filtered by category. Bought it to scope a United States territory in the stationery retail store segment. Will buy again.
Bought a sample first. Loaded into Power BI without a single import warning. Bought it while building a stationery retail store prospecting workflow for United States. Saved us hours of manual cleanup.
Last Update:
Aug 18, 2026 05:45 AM
Published:
May 11, 2026 03:54 AM
Rows (Extended):
391
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
