2026 Rankings · Top 10

Best Google Maps Data Extractor in 2026: Top 10 Ranked

The best Google Maps data extractor for most B2B teams is a desktop app with grid-based scanning and a flat yearly license — not a per-row cloud API. We tested and scored ten tools agencies and founders evaluate most: Lead Finder, Outscraper, Phantombuster, Apify, extensions, and open-source scripts.

TL;DR — Editor's verdict

Lead Finder ranks #1 for non-technical users. Deep-Scan AI bypasses the 120-result limit, runs on your local IP, and costs $20/year unlimited — 10–100× cheaper than cloud APIs above 10,000 rows/month. See full product page.

How we ranked these Google Maps data extractors

Each tool was scored on five weighted factors relevant to B2B lead generation — not developer playground features. We ran identical city-level extractions where possible and documented row caps, export fields, and total cost at 10k and 100k rows.

FactorWeightWhat we measured
120-limit bypass25%Can the tool extract full city coverage, not just the first viewport?
Total cost at 10k+ rows25%Flat license vs per-row API pricing over a month of agency use.
Ease of use (non-dev)20%Can a marketer run it without Python or Postman?
Data fields exported15%Phone, website, rating, reviews, email, social links.
Reliability / anti-ban15%Local desktop IP vs cloud burst requests.

Top 5 Google Maps data extractors — detailed review

#1 Best Google Maps Data Extractor
#1

Lead Finder

Desktop App

Best for agencies and sales teams that need city-scale lists without per-row API fees. Flat yearly license beats cloud tools above ~1,000 rows/month.

Pros

  • Deep-Scan AI bypasses 120-result limit
  • No coding — Windows and Mac
  • Runs on local IP (lower ban risk)
  • Auto-save + CSV/Excel export
  • Email and social enrichment fields

Cons

  • Requires desktop installation
$20/year (unlimited)
10k rows: $20/year flat
100k rows: $20/year flat
Bypasses 120 cap
Try Free
#2

Outscraper

Cloud API

Strong when engineers embed Maps data in a product. Expensive for manual prospecting at agency scale.

Pros

  • REST API for developers
  • Good field coverage
  • Scalable for apps

Cons

  • Per-row cost adds up fast
  • Requires API integration
  • Cloud IPs flagged more often
$2+ per 1,000 rows
10k rows: ~$20+
100k rows: ~$200+
Bypasses 120 cap
#3

Phantombuster

Cloud Platform

All-in-one automation platform — overkill if you only need Maps lead lists.

Pros

  • Multi-channel automation
  • LinkedIn + Maps chains
  • No-code recipes

Cons

  • Maps is a secondary feature
  • Time limits on plans
  • Higher monthly burn
From $59/month
10k rows: $59+/mo
100k rows: $59+/mo+
120-result cap
#4

Apify Google Maps Scraper

Cloud API

Developer-grade. See our Apify alternative guide for agency-friendly options.

Pros

  • Flexible actor model
  • Good for custom pipelines

Cons

  • Steep learning curve
  • Compute pricing unpredictable
  • Not for non-developers
Pay-per-compute
10k rows: Variable
100k rows: Variable
Bypasses 120 cap
#5

HasData

Cloud API

API buyers comparing subscription scrapers — evaluate total row cost vs desktop flat license.

Pros

  • API-first delivery
  • Structured JSON output

Cons

  • Ongoing subscription
  • Less suited to one-off campaigns
Subscription tiers
10k rows: Tier-based
100k rows: Tier-based
Bypasses 120 cap

Top 10 Google Maps data extractors — quick comparison

Full ranked list including tools #6–10. For deep cost analysis of the #2 cloud API, read Outscraper vs Lead Finder.

#ToolTypePricing120 bypass
1Lead FinderDesktop App$20/year (unlimited)Yes
2OutscraperCloud API$2+ per 1,000 rowsYes
3PhantombusterCloud PlatformFrom $59/monthNo
4Apify Google Maps ScraperCloud APIPay-per-computeYes
5HasDataCloud APISubscription tiersYes
6MapLeadScraper ExtensionChrome ExtensionFree–$10/moNo
7OctoparseDesktop/CloudTiered plansNo
8ParseHubDesktopFreemiumNo
9GitHub open-source scriptsCodeFree (dev time)No
10Manual copy-pasteManualLabor costNo

Google Maps data extractor vs Google Maps scraper — same tool, different name

Searchers use both terms interchangeably. A Google Maps data extractor emphasizes structured export (CSV, Excel, CRM columns). A Google Maps scraper emphasizes automated collection from the Maps UI. For B2B lead generation the evaluation criteria are identical: row limits, cost at scale, fields exported, and ban risk.

What fields should the best Google Maps data extractor export?

Minimum viable B2B set: business name, phone, website, full address, category, star rating, review count. High-performing outbound teams also want email, social profile URLs, and map link for verification. Lead Finder includes all of these in default export — cloud APIs often charge extra per enriched field.

Why the 120-result limit decides rankings

Google Maps lazy-loads listings per viewport. One search for "Dentists in Chicago" may match 4,000 businesses but display only 120. Tools that do not grid-subdivide geography deliver incomplete lists — fine for curiosity, useless for city-scale campaigns. This single factor separates agency-grade extractors from toys.

Desktop vs cloud API — when to choose each

  • Desktop (Lead Finder) — Agencies, freelancers, sales teams, WhatsApp marketers. No code. Flat license. Local IP.
  • Cloud API (Outscraper, Apify) — Engineers embedding Maps data inside a SaaS product with custom pipelines.
  • Chrome extension — One-off research under 100 rows. Not repeatable operations.
  • Open-source scripts — Teams with dedicated scraping engineers and maintenance budget.

Cost comparison at agency volume

A regional agency extracting 25,000 businesses monthly pays roughly $50+ on metered APIs versus $20/year total for desktop unlimited (one PC license). At 100,000 rows the gap exceeds $200/month vs $1.67/month amortized. See Outscraper vs Lead Finder math.

How to choose the right Google Maps data extractor

  1. Confirm the tool bypasses 120 results for your target cities.
  2. Calculate total cost at your monthly row volume (not sticker price).
  3. Verify export includes phone + website + rating at minimum.
  4. Test ban risk — desktop local IP vs shared cloud scraper pool.
  5. Run a free demo on your actual niche before annual commitment.

Next steps after choosing a tool

Extraction is step one. Dedupe by phone/domain, segment by rating tier, enrich missing emails, import to CRM, then run compliant outreach. Workflow guides: how to extract data from Google Maps, B2B strategies using Maps data, email extraction workflow.

Try the #1 ranked Google Maps data extractor

Free demo, no credit card. Full license unlocks unlimited extraction at $20/year.

Full product overview · Watch demo video

Related guides

Ready to run your first extraction? Download Lead Finder free demo — no credit card. Full license $20/year for unlimited rows on one PC. Also explore WappBlaster for post-call WhatsApp automation.