Best Google Maps Scrapers: Top 5 for Email & Phone List Building

Local lead gen is one of the last channels where the data is sitting in plain sight. Google Maps lists every business in your target city, by category, with phone numbers, websites, hours, and (often) email addresses if you're willing to enrich. The job of a scraper is grabbing that data at scale before Google's rate limits catch you. The five tools below do it — at very different speeds, prices, and risk profiles.

Most people running outbound find Google Maps scraping by accident. They start with a manual list of 50 businesses, hit a wall, then realise the entire local economy is publicly indexed and waiting to be exported. Once you've built that pipeline once, the bottleneck stops being lead supply and starts being conversion — which is where the rest of your stack has to do its job.

A bonus angle worth flagging up front, before the scraper rankings: most local marketers building these lists also need to appear in the same Google Maps SERPs they're scraping.

That's where Scale Rankings sits. It's not a scraper — it's a local SEO action layer that uses real human clickers to feed Google's local pack ranking signals.

Pairing outbound scraping with inbound local SEO is the move most lead gen teams miss because they treat them as separate disciplines. They aren't.

Quick Reference: All 5 Scrapers at a Glance

• #1 — Outscraper · Purpose-built Google Maps platform with email enrichment · From ~$25/mo · ★★★★★
• #2 — Apify (Google Maps Scraper) · Flexible API-based scraping with Maps actors · Pay-as-you-go from ~$0.005/result · ★★★★★
• #3 — PhantomBuster · Scraping + outreach automation in one workflow · From ~$56/mo · ★★★★
• #4 — Lobstr io · No-code Google Maps scraper with clean exports · From ~$50/mo · ★★★★
• #5 — Octoparse · Visual scraper with Google Maps templates · Free tier + paid from ~$75/mo · ★★★

Why Maps Scraping Is the Highest-ROI Local Lead Channel

Three reasons this channel keeps working when most outbound tactics decay:

• The data is structured — name, category, phone, address, hours, website all in consistent fields, no parsing nightmares
• Google indexes near-everyone — small business presence on Maps is closer to universal than any other directory, including LinkedIn and industry-specific lists
• Intent is geographically pre-filtered — scraping "plumbers in Phoenix" gives you 100% target-relevant prospects, no ICP filtering needed afterwards

The catch is that scraping at scale puts you in tension with Google's anti-automation systems. Every tool on this list handles that tradeoff differently — some run their own infrastructure with rotating proxies, some hand off the rate-limit problem to you, some sit in a grey zone where account suspension is a real risk. So what: the cheapest scraper that gets your operational account banned is more expensive than the most expensive scraper that doesn't. Do this: evaluate each option not just on price-per-record but on whether the tool isolates the scraping infrastructure from anything you can't afford to lose.

This is also where Maps scrapers diverge from general SEO data tools. Scrapers extract raw business data for outbound; analytics tools surface keyword and ranking data for inbound. They share the word "data" and not much else. For the analytics side of the same stack, the best SEO data analytics tools breakdown covers what to pair with your scraping setup.

What I Looked For

Six criteria, weighted by what mattered for actual list quality and operational safety:

• Email/phone enrichment — does the tool find emails directly, or just hand you the website to enrich elsewhere?
• Output completeness — name, category, phone, website, address, ratings, hours, and review counts vs the bare minimum
• Volume per run — 100 results is a test, 5,000 is a campaign, 50,000 is a real list
• Anti-detection infrastructure — rotating proxies, headless browser fingerprinting, request rate management
• Export format flexibility — CSV, Excel, JSON, direct CRM push vs locked-in proprietary formats
• Pricing model — flat subscription favours volume operators; pay-per-result favours variable workloads

Anti-detection and email enrichment carry the most weight. Everything else is convenience.

Top 5 Google Maps Scrapers

1. Outscraper - Best Overall

Quick specs:

• Type: Purpose-built Google Maps scraping platform (web UI + API)
• Email enrichment: Yes, included via separate enrichment add-on
• Volume: No hard caps; tested up to 50k+ records per run
• Pricing: From ~$25/mo, scales with usage
• Output: CSV, Excel, JSON, direct integrations
• Verdict: ★★★★★

The category leader for a reason. Outscraper isn't trying to be a general-purpose scraper that happens to support Maps — it's purpose-built for Google Maps and the surrounding Google services (Reviews, Places, Photos), with infrastructure designed around the specific rate-limit patterns those services use.

Why it ranks #1: email enrichment is integrated rather than a separate workflow, output schemas are clean and consistent, and the anti-detection infrastructure is run for you rather than handed over as your problem. The pricing scales linearly with volume, which favours both small test runs and serious campaigns.

Best for: lead gen agencies, sales teams running outbound, anyone who needs a list yesterday and doesn't want to babysit a scraper. The UI is clean enough for non-technical users; the API is robust enough for engineers building automated pipelines.

2. Apify (Google Maps Scraper)

Quick specs:

• Type: General scraping platform with dedicated Google Maps actors
• Email enrichment: Available via separate enrichment actors
• Volume: Effectively unlimited; pay-as-you-go pricing
• Pricing: Pay-per-result from ~$0.005/result, monthly platform fee from ~$49
• Output: JSON, CSV, Excel, direct webhook integrations
• Verdict: ★★★★★

The technical alternative to Outscraper. Apify is a general scraping platform where Google Maps is one of hundreds of pre-built scrapers ("actors") in their store. Pay-as-you-go pricing means you're not paying for capacity you don't use, and the platform handles proxy rotation and infrastructure.

Where it falls short: steeper learning curve than Outscraper. The flexibility cuts both ways — you can wire Apify into a custom pipeline through the API, but the UI assumes some technical literacy. Email enrichment requires combining multiple actors rather than a single integrated workflow.

Best for: technical operators, agencies running custom outbound stacks, anyone who needs to combine Maps scraping with other scraping jobs (LinkedIn, directories, review sites) on the same platform.

3. PhantomBuster

Quick specs:

• Type: Automation platform with Google Maps scraping + outreach modules
• Email enrichment: Yes, integrated with chained outreach automations
• Volume: Tier-dependent; 2k-50k+ records per month depending on plan
• Pricing: From ~$56/mo (Starter), scales with execution time
• Output: CSV, Google Sheets push, direct CRM integrations
• Verdict: ★★★★

The end-to-end option. PhantomBuster scrapes Maps, enriches the data, and chains directly into outreach sequences (LinkedIn, email, Twitter) without leaving the platform. For teams that want one tool covering scrape → enrich → outreach, the integration savings are real.

Where it falls short: per-record cost is higher than dedicated scrapers when you only need scraping. The "execution time" pricing model can produce surprise overage charges if your scrapes are slow or if you're running many small jobs in parallel.

Best for: sales teams running tight outbound loops, agencies that bill on full outreach campaigns rather than just lists, anyone who values workflow integration more than per-record optimisation.

4. Lobstr io

Quick specs:

• Type: No-code scraping platform with Google Maps as a featured workflow
• Email enrichment: Built-in for many use cases
• Volume: Cluster-based, scales horizontally
• Pricing: From ~$50/mo, cluster-based pricing
• Output: CSV, JSON, Webhook
• Verdict: ★★★★

A cleaner no-code alternative for teams that don't want to learn Apify and don't need PhantomBuster's outreach side. Lobstr.io's Google Maps workflow is one of their best-supported templates, with cluster-based scaling that handles large jobs without you tuning anything.

Where it falls short: less mature than Outscraper for Maps specifically. Documentation is improving but still trails the big two on edge cases. Email enrichment quality varies by region.

Best for: small agencies, solo operators, anyone who wants a clean UI and clean exports without committing to a heavier platform like Apify.

5. Octoparse

Quick specs:

• Type: Visual scraper with template library (Google Maps included)
• Email enrichment: Limited; primarily extracts what's visible on Maps
• Volume: Free tier + paid scaling; cloud-based runs on paid plans
• Pricing: Free tier available, paid from ~$75/mo
• Output: CSV, Excel, JSON, database connections
• Verdict: ★★★

The veteran in the visual scraper category. Octoparse predates most modern Maps-specific tools, and the template library reflects years of accumulated workflows. The free tier is genuinely usable for testing, which the others mostly aren't.

Where it falls short: email enrichment is weaker than category specialists — Octoparse extracts what's on the Maps listing, not what's enriched from external sources. Cloud runs cost extra. Interface is dated.

Best for: one-off projects, exploratory scraping, teams already using Octoparse for other scraping jobs and wanting to extend into Maps without adding a tool.

Final Verdict

Category winners:

• Best overall: Outscraper — purpose-built, clean enrichment, scales linearly
• Best technical option: Apify — flexible, pay-as-you-go, custom pipeline-friendly
• Best end-to-end: PhantomBuster — scrape + enrich + outreach in one workflow
• Best no-code budget pick: Lobstr.io — clean UI, cluster-based scaling
• Best free-tier option: Octoparse — usable free tier, dated but reliable

The honest pattern: tools optimised specifically for Google Maps (Outscraper, Lobstr.io) outperform general scrapers retrofitted to handle Maps (Octoparse). The exception is Apify, which gets the best-of-both treatment because their Google Maps actors are maintained by the platform team, not user-contributed.

A list of 10,000 businesses with phones and emails is one part of a working outbound system. The other part is making sure those businesses can find you when they search back — which is where the broader marketing stack matters. If you're scoping the full toolkit beyond just scrapers, the top 10 SEO tools ranked by what they actually do breakdown covers what to pair with your outbound layer.

The bonus tool worth flagging again, since it pairs naturally with everything above: Scale Rankings operates on the inbound side of the same channel scrapers serve outbound. While Maps scrapers extract local business data so you can reach them, Scale Rankings sends real human clickers to local Google searches so they find you in the local pack. Same ecosystem, opposite directions. Teams running outbound-only or inbound-only are leaving the other half on the table.

Pair Outbound Scraping with Inbound Local SEO

If you're already running Maps scraping for outbound, the inbound side is the other half of the same channel. Scale Rankings sends real humans to perform local Google searches — geo-targeted, dwell-controlled, statistically indistinguishable from organic traffic. The behavioural signals feed Google's local pack ranking system, which is what your prospects use to find you when they're not your prospects yet.

→ See Scale Rankings Pricing

No bots. No proxies. Human-verified clicks only.

FAQ

Is Google Maps scraping legal?

The data on Maps is publicly displayed, but Google's Terms of Service prohibit automated scraping of their services. The legal grey zone is well-established — most scraping operations run anyway, accept some risk of IP blocks or account flags, and isolate scraping infrastructure from anything they can't afford to lose. Consult a lawyer if you're scraping at enterprise scale; for most small-team outbound, the practical risk is rate-limiting rather than legal action.

How accurate are the email addresses scraped from Google Maps?

Maps doesn't display email addresses on the listing itself — most tools that "scrape emails" from Maps actually scrape the business's website and extract emails from there. Accuracy depends on the enrichment layer, not the Maps scraping layer. Outscraper and PhantomBuster have the strongest enrichment workflows of this list.

What's the difference between scraping Google Maps and using the Google Places API?

Google Places API is the official, paid, rate-limited route — clean data, no ToS issues, but expensive at scale and limited to 60-100 results per query. Scraping bypasses those limits at the cost of being against ToS. Most lead gen operations use the API for verification and small clean queries, scrapers for bulk list building.

Will my account get banned for Maps scraping?

It depends entirely on infrastructure isolation. If you scrape using your operational Google account or your real IP, the answer is "eventually, yes." If you scrape via a tool that runs its own proxy rotation and fingerprint randomisation (Outscraper, Apify), your operational accounts are safe — only the tool's infrastructure absorbs the rate limits.

Can I scrape Google Maps for free?

Octoparse has a usable free tier. Apify offers free credits monthly. For a one-off list under 1,000 records, free tiers are enough. Beyond that volume, you're paying — and the cost difference between free-tier hacking and paid tools is usually worth less than the time you'd spend managing it.