Best Google Maps Scrapers in 2026 (Ranked & Compared)

Google Maps is the largest free database of local business data in the world. Every business listed has a name, phone, website, address, rating, and more — all publicly visible. The right scraping tool turns that into a usable lead list in minutes. The wrong one wastes your afternoon. Here are the best options in 2026.

How we evaluated each tool

We compared tools across five dimensions that actually matter for sales teams and cold callers:

• Ease of use: How long does it take to go from sign-up to a downloaded CSV?

• Data quality: How many fields per lead? Is the data live or from a database?

• Pricing: What does it actually cost per lead at scale?

• US coverage: Does it cover all 50 states automatically, or do you have to configure it yourself?

• Reliability: Does it handle interruptions gracefully? Can it resume a stopped scrape?

1-MapsHarvest

Best overall for cold callers & sales teams

Free plan · Paid from $19/mo

Pros

• Purpose-built for Google Maps — zero setup, zero coding

• 50 free credits, no credit card required

• 18 fields per lead including phone, website, hours, rating

• Automatic city-by-city looping across all 50 US states

• Checkpoint resume — never re-scrape what's already done

• Flat 1 credit = 1 lead pricing — no surprises

• Smart filters: rating, reviews, phone, website presence

• Scheduled scrapes + webhook delivery (paid plans)

Cons

• US coverage only (international coming soon)

• Google Maps only — not a multi-source platform

Verdict: The best tool if Google Maps lead lists are your primary use case. No setup friction, transparent pricing, and data clean enough to drop straight into a dialer.

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2-Outscraper

Best for global coverage

From $49/mo

Pros

• Covers Google Maps worldwide, not just the US

• Up to 21 data fields per result

• Also scrapes Yelp, TripAdvisor, and other platforms

• API and webhook support

Cons

• Starts at $49/mo — more expensive than MapsHarvest

• Per-task pricing model is harder to estimate

• No checkpoint resume — interrupted jobs start over

• Less focused on cold calling workflow

• Requires credit card to start

Verdict: Solid choice if you need international coverage or want to scrape sources beyond Google Maps. For pure US lead gen, MapsHarvest is cheaper and easier.

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3-Apify

Best for developers who need custom pipelines

From $49/mo (Starter)

Pros

• Extremely flexible — scrape virtually any website

• Large actor marketplace with community-built scrapers

• Advanced scheduling, webhooks, and integrations

• Full API access

Cons

• Steep learning curve — built for engineers, not sales teams

• Google Maps scraping requires configuring third-party actors

• Proxy setup required for reliable results

• No built-in city-by-city US coverage automation

• Costs spike fast on large jobs (compute units + proxy fees)

• No checkpoint resume

Verdict: Powerful for developers who want maximum flexibility. Overkill — and overcomplicated — for anyone who just wants a lead list.

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4-PhantomBuster

Best for LinkedIn automation (not Google Maps)

From $56/mo

Pros

• Strong LinkedIn and social media automation

• Easy-to-use workflow builder

• Good integrations with CRMs

Cons

• Google Maps scraping is a minor feature, not core focus

• Very limited data fields from Google Maps

• No city-by-city automation for US coverage

• Expensive relative to output for lead gen ($56+/mo)

• Not built for cold calling workflows

Verdict: Great for LinkedIn lead gen. Not the right tool for Google Maps scraping — the Google Maps phantom is underpowered compared to purpose-built tools.

5-Bright Data

Best for enterprise / large-scale data ops

$500+/mo for meaningful usage

Pros

• Enterprise-grade infrastructure and compliance

• Massive proxy network

• Custom data delivery pipelines

Cons

• Extremely expensive — not for small teams or solo operators

• Requires a sales call to get started

• Built for enterprise data teams, not sales or cold callers

• Significant setup and onboarding required

Verdict: If you're a Fortune 500 running a large-scale data operation, Bright Data makes sense. For everyone else — cold callers, agencies, SDR teams — it's massive overkill.

Quick comparison table