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Worked for what we needed. Encoded UTF-8 with no character-set surprises in Excel. Bought it to map u.s. bank locations density across United States. Workable, the LinkedIn coverage could be better.
Bought a sample first. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Saved us hours of manual cleanup.
Pulled the trigger after reading the row count. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for our u.s. bank locations outreach in United States. Decent value, would tighten one or two fields.
Onboarded a junior with this dataset. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to support a u.s. bank locations rollout in United States. Sales team is happy.
Compared this side-by-side with two competitors. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our u.s. bank locations outreach in United States. Money well spent.
Last Update:
Jun 30, 2026 02:37 AM
Published:
Jun 11, 2026 15:02 PM
Rows (Regular):
1,737
Rows (Extended):
3,474
Category:
