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Guides and data
Practical writing on extracting business data from Google Maps: grid coverage, export workflows, cost modelling and data quality.
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Why Google Maps Stops at 120 Results (And How Grids Fix It)
Google Maps caps a single search at about 120 listings however many businesses exist. Why that ceiling is there, and the grid method that gets past it.
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Choosing a Grid Cell Size for Google Maps Extraction
Too coarse and dense cells silently truncate at the 120 cap; too fine and the sweep takes hours it did not need. The arithmetic for getting cell size right.
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Service-Area Businesses: The Hidden Half of Google Maps
SABs (plumbers, cleaners, mobile locksmiths) can hide their address, and whole categories are mostly SABs. What that does to your export and how to work with it.
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The Place ID Is the Most Useful Column in Your Export
The one column nobody looks at is the one that makes de-duplication, refresh diffs and closure detection actually work. What a place ID is and how to use it.
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Claimed vs Unclaimed Listings: The Signal in the Gap
Google auto-creates listings nobody manages. Telling claimed from unclaimed rows in an export, and why the unclaimed tail is the best prospect pool in local.
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What Google Maps Business Data Is Actually Worth Trusting
Field-by-field: which Google Maps columns are reliable, which decay fastest, and how to clean an extracted list before anyone on your team calls a single number.