§ Guides
Google Maps extraction guides
Practical guides to extracting Google Maps business data: how to do it, which tool model fits your volume, what the data is worth, and where the legal limits are.
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Getting started
How to extract data from Google Maps
Four routes to Google Maps business data: manual copying, the Places API, browser extensions and desktop extraction. What each costs and where each one stops working.
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Choosing a tool
Google Maps scrapers compared
Desktop applications, cloud APIs and browser extensions side by side, including where each model loses. No ranking, because the right answer depends on your volume.
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Comparison
Outscraper vs Lead Finder
Metered cloud pricing against a flat desktop licence, and the annual row count where each one becomes the cheaper option.
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Legal
Is it legal to scrape Google Maps?
Collection law, Google's terms and the outreach rules that actually carry enforcement, untangled into three separate questions with straight answers.
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Workflow
Exporting to Excel and CSV cleanly
The formatting traps that ruin spreadsheets (phone mangling, encoding, fuzzy duplicates) and the import sequence that avoids them.
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Workflow
Building a local prospect list
The end-to-end discipline: extract completely, clean on the right keys, segment by review count, ration segments, refresh on schedule.
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Strategy
B2B strategies built on Maps data
Five repeatable plays: review-gap prospecting, new-business monitoring, density selling, channel routing and delta reporting.
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Comparison
Apify alternative, for one job
Where a flat-licence desktop app substitutes for a cloud automation platform, and the cases where it honestly does not.
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Enrichment
Google Maps email extraction, honestly
Google Maps has no email field, so every extractor is really a website crawler. What match rate to expect, and why 90 percent coverage claims should worry you.
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Getting started
Free scrapers: what free gets you
Manual copying, extension free tiers, cloud credits and demos: every genuinely free route, what each caps out at, and the coverage wall they all share.
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Enrichment
Phone extraction, the strong field
Phone is the one contact field Maps actually holds: structured, owner-maintained, near-universal. Extraction at city scale and the routing that converts.
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Data
Review data: counts vs full text
Review scraping is two different jobs. Rating and count serve lead generation; full text serves analysis. Which you need, and what does each honestly.
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Choosing a tool
Chrome extensions and their limits
What scraper extensions genuinely do well, the four structural limits every one shares, and the three signals that say you have outgrown the model.
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Comparison
Places API vs scraping
The officially sanctioned route wins outright for products. For lead lists, three axes (cost shape, caps, storage terms) decide it the other way.
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Start here
Lead generation, end to end
The pillar: extract, clean, segment, outreach, refresh, as one connected system, with every deep guide on this site linked from its stage.
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Data
GBP and GMB scraping
Three names for one dataset. What a Business Profile exposes publicly, what never leaves the dashboard, and the profile-quality signals worth extracting for.
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Build vs buy
Building a scraper in Python
The five hard parts are not the fetching. What DIY actually involves, the silent-breakage maintenance tax, and the honest arithmetic against buying.
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Workflow
Maps data into Google Sheets
No formula scrapes Maps into Sheets. The CSV import done right, the cleaning sequence as Sheets operations, and the narrow honest place Apps Script holds.
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Enrichment
Finding the business owner
Maps has no owner field. The five lookup routes that work, their real hit rates, and why the first phone call often beats the whole hunt.
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Technique
Extracting without blocks
Blocks are feedback about cadence, not volume. The boring single-connection configuration that keeps working, and the recovery playbook when one lands.
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Reference
The extraction glossary
Sixteen standalone definitions: place ID, grid extraction, SABs, E.164, list decay, review-gap prospecting and the rest of the working vocabulary.
By country
Extraction mechanics are global; registries, outreach law and phone formats are not.
From the blog
- Guides Why Google Maps Stops at 120 Results (And How Grids Fix It)
- Guides Choosing a Grid Cell Size for Google Maps Extraction
- Data Service-Area Businesses: The Hidden Half of Google Maps
- Data The Place ID Is the Most Useful Column in Your Export
- Data Claimed vs Unclaimed Listings: The Signal in the Gap
- Data What Google Maps Business Data Is Actually Worth Trusting