How to Scrape Phone Numbers from Google Maps in 2026: 5 Methods Tested & Compared

Why Google Maps Is the #1 Source for Business Phone Numbers in 2026

Three weeks. That's how long I spent last month trying to build a cold calling list for a roofing contractor in Ohio. LinkedIn? Useless. Half these businesses don't even have profiles. Yellow Pages? Apparently that thing still exists, but the data was from 2019. Then I opened Google Maps and pulled 2,400 verified phone numbers in under an hour.

That's not a fluke.

The whole reason this works comes down to one thing nobody thinks about: business owners maintain their own listings because Google keeps nudging them to. Their phone number is public because they want it public. So the question isn't whether the data is there. It's which tool gets it out without wasting your afternoon.

Scale: 225M+ Listings, 195 Countries, 4,000+ Categories

Google Maps indexes over 225 million business listings across 195 countries. Dentists in Denver, plumbers in Perth, tattoo parlors in Turin. More than 4,000 activity categories to slice through. No other public database comes close, and the web scraping market keeps booming right alongside it: $1.03 billion today, projected to hit $2 billion by 2030 at 14.2% CAGR. People clearly figured out where the data lives. If your goal is to generate Google Maps leads at scale, this is the well everyone's drinking from.

Reliability: Real-Time, Owner-Maintained

Here's what makes Google Maps data different from buying some sketchy CSV off a marketplace. Owners update their phone numbers, hours, addresses. Google pesters them to. So when you scrape phone numbers from Google Maps, you're pulling data the business wants public and keeps current. Compare that with purchased databases that decay at 30–70% per year. (Yeah, you read that right. Most of what you'd buy is already wrong.)

Who Needs This Data

Sales teams doing local B2B outreach. Agencies prospecting businesses without websites. Freelancers building call lists for cold calling leads from Google Maps. Real estate agents chasing local services. And the money math is brutal in Google Maps' favor: the cost to extract business phone numbers this way runs $2–15 per lead, versus $50–150 on LinkedIn. Not even close.

OK so five ways to actually do it. Worst to best. Let's go.

Method 1: Free Chrome Extensions (Quick but Limited)

The obvious first move: install a Google Maps scraper Chrome extension, hit a button, get phone numbers. Sounds great on paper. It's also where most people get stuck.

How Extensions Work

Extensions like G Maps Extractor and Instant Data Scraper sit in your browser and read the visible Google Maps results. You search "restaurants in Austin," scroll through the listings, and the extension grabs what it can see: names, ratings, phone numbers, addresses. G Maps Extractor alone has racked up 12,500+ clients and 85 million+ phone numbers extracted. So people use these. A lot. (Eighty-five million. Let that sink in.) It's the go-to google maps scraper free option for anyone who just needs a quick list.

The 120-Result Ceiling & Phone Number Gap

But here's the problem nobody mentions in the Chrome Web Store reviews. Google Maps only loads about 120 results per search, no matter how far you scroll. Want all 6,000 restaurants in New York? Too bad. You're getting 120. And some extensions can't even grab phone numbers from the list view. They need to click into each individual listing, one by one, page by page.

Try doing bulk phone number extraction from Google Maps with that setup. I'll wait.

Best Free Extensions

If you still want to go this route, and for small jobs it's genuinely fine, your best bets are G Maps Extractor (the most popular google maps scraper extension and phone number extractor free tool) and Instant Data Scraper. Both work. Both will frustrate you past 100 results. The forums make the wall obvious: over on the Data Miner community and the Facebook Instant Data Scraper groups, the same complaint loops forever. One user put it plainly: "Works great for 50 listings, but I need 5,000. What now?" Nobody ever has a good answer.

When to Upgrade

The moment you need more than 120 results per query. Or when you want to extract business phone numbers from Google Maps at city scale or wider. Or when you need phone type classification, mobile versus landline. That's when extensions stop being cute and start being a bottleneck.

Method 2: Scrap.io, the Google Maps Phone Number Extractor at Country Scale

Jake needed phone numbers for every restaurant in Texas without a website. Not 50 results. Not 500. All of them. He ran one search on Scrap.io and pulled 11,734 businesses in 45 minutes, with phone numbers, emails, ratings, and social links attached. No scrolling. No browser tabs. No broken CSV formatting.

And the market's bigger than you'd guess. I re-ran the Texas restaurant numbers in August 2026, straight from Google Maps: 62,085 restaurants indexed, 54,504 of them (about 88%) showing a phone number right on the listing, and 16,491 with a phone number but no website at all (Source: Scrap.io real-time Google Maps data, August 2026). That last bucket? That's a web agency's dream list. Sixteen thousand businesses that need exactly what they sell, phone number ready to dial.

How Scrap.io Works

You pick a category (or several, up to 200 at once), choose a location (city, county, state, or an entire country), apply filters, and hit export. That's it. Two clicks to scrape local business phone numbers from Google Maps at a scale no extension can touch. The platform processes data in real time directly from the maps, so you're never working with stale information. Over 50,000+ professionals use it, including teams at Revolut, Amazon, and Salesforce. (Not exactly a hobby project.)

Phone Type Filter: Landline, Mobile, Special

This is the feature that sells it for cold callers. Scrap.io classifies every phone number as landline, mobile, or special, globally. Running an SMS campaign? Filter for mobile numbers only. Doing B2B cold calls? Target landlines. You're not wasting time dialing numbers that'll never pick up, and you can extract mobile numbers from Google Maps without guessing which is which.

(One caveat, and I won't bury it: phone type classification isn't available in the US and Canada. Everywhere else, you're good.)

Filtering Before Extraction

This matters more than you'd think. Scrap.io lets you apply every filter before your credits get consumed. Only want businesses with a phone number AND an email? Filter for that. Only claimed listings with 4+ stars and 50+ reviews? Done. You pay for contacts that match your criteria, not for garbage you'll delete an hour later. Check the full Google Maps business data extraction guide for deeper filtering strategy, and if you want to pull addresses too, the Google Maps email extractor workflow layers right on top.

Export Format

CSV or Excel. Color-coded columns (yellow for map data, orange for website data), ready to drag into your CRM or cold mailing tool. No size limits either. Exports over 100K rows auto-split into ZIP files. And since Scrap.io also grabs email addresses from Google Maps, you're building a complete google maps data scraper for phone and email in a single shot.

Pricing & Free Trial

Plans start at $35/month (annual) for 10,000 credits and go up to $350/month for 100,000 credits on the Company plan. The free trial gives you 7 days and 100 leads to export, which is enough to test on a real campaign before you commit a cent to a subscription. For the API-first crowd, the complete API and extraction guide covers the technical side.

Method 3: Cloud Scrapers (Apify, Outscraper, PhantomBuster)

Need total control over your scraping pipeline? Cloud-based scrapers hand you API access, scheduling, and more configuration knobs than you'll ever touch.

Outscraper, Apify, PhantomBuster

Outscraper is probably the closest competitor to Scrap.io for Google Maps data extraction. They document seven use cases and claim 3–5× conversion improvements on targeted lists versus untargeted ones. Fair enough. Apify is more of a developer playground: they host community-built "actors" (scrapers) that you configure and run on their cloud. Their Compass Google Places crawler sits at 4.7/5 across 1,781 reviews, so it's clearly doing something right for the technical crowd. PhantomBuster does similar work but leans heavier into LinkedIn and social. All three can handle Google Maps. None of them match Scrap.io's phone type classification or country-scale speed. (And none are a google maps lead scraper with phone numbers straight out of the box. There's always setup.)

Pros & Cons

The upside is flexibility. You can chain scrapers with enrichment tools, build custom workflows, schedule recurring jobs. The downside? It's complicated. These platforms assume you know what an API is, what JSON looks like, and how pagination works. Oh, and pricing gets confusing fast: per-result, per-task, per-compute-unit. If you just want to scrape phone numbers from Google Maps and get on with your day, cloud scrapers feel like driving a semi-truck to the grocery store.

Method 4: Python Scripts & Open-Source

Twenty lines of Python equals free scraping. But "free" hides costs nobody warns you about until you're three days deep.

GitHub Tools: gosom/google-maps-scraper (3,300+ Stars)

The most starred open-source google maps scraper github project is gosom/google-maps-scraper, sitting at 3,300+ stars. It's written in Go, handles concurrent scraping, and yes, you can scrape google maps phone numbers with python wrappers around similar tools. The r/LeadGeneration crowd loves recommending it: "Just use the gosom scraper, it's free and handles thousands of results" (Reddit). And for pure google maps scraper python setups, there's no shortage of repos to fork.

Hidden Costs

Here's what the Reddit threads skip. You need proxies ($50–200/month for anything reliable, so surprise, "free" isn't free). You need to handle Google's anti-bot defenses: CAPTCHAs, IP bans, rate limits. You'll burn hours debugging every time Google tweaks their DOM. And you get zero phone type classification, zero email enrichment, zero support. One poster on r/coldemail summed it up: "Spent 3 days setting up a Python scraper. Got 400 results before getting blocked. Switched to a paid tool and had 10K leads in an hour."

If you want to scrape google maps phone numbers with python and you're a developer who enjoys that kind of thing, go for it. But if you value your time at more than $10/hour, the math doesn't work. Want the middle path? Here's how to scrape Google Maps without Python, no code required.

Method 5: Google Maps API, the Official (Expensive) Route

$17 per 1,000 requests. And phone numbers aren't even included by default.

The Google Maps Platform Places API is the "proper" way to pull data. Structured JSON, official support, peace of mind. But it's built for app developers, not lead generation. The basic Place Search endpoint doesn't return phone numbers. You need an extra Place Details call for each result. That's two API calls per business. At $17/1,000 for Search and $17/1,000 for Details, pulling 10,000 phone numbers runs you $340. Minimum.

For what, exactly? You tell me.

And you still don't get emails, social links, phone type classification, or any of the filtering that makes Google Maps lead generation actually practical. If you want the walkthrough anyway, the API-focused guide covers it end to end.

Head-to-Head: All 5 Methods Compared

Enough theory. Here's how every method stacks up when you actually try to scrape phone numbers from Google Maps in 2026:

* "Unlimited" with an asterisk, because you'll hit rate limits, bans, or your credit card ceiling first.

The verdict? For most people who want to scrape phone numbers from Google Maps without a Computer Science degree, Scrap.io wins. It's the best Google Maps phone number scraper in 2026 if you care about speed, data quality, and keeping your sanity. Extensions work for tiny jobs. Cloud scrapers work if you're technical. Python works if you enjoy suffering. The API works if money isn't an object. Everyone else, pick the no-code route and move on.

What to Do with Scraped Phone Numbers

So you've got a spreadsheet full of phone numbers. Now what?

Seriously. How many sales reps have you watched dump 1,000 numbers into an autodialer and pray?

Having data and using data are two different sports. And this is where most people faceplant. They blast 500 cold calls with zero strategy, then wonder why nobody picks up.

Cold Calling Best Practices

Cold calling converts at 2.7% on average. Brutal. But top performers working verified, targeted data hit 11.3%, according to Cognism's 2026 analysis of 200,000+ calls. The difference is data quality. When you're dialing a verified number for a business you've pre-qualified (right category, right location, right size), the conversation actually goes somewhere. Grab a few cold calling scripts that work before you dial, and our cold calling success rate breakdown digs into what separates the 2.7% crowd from the 11.3% crowd.

SMS Outreach + Mobile Filter

This is where Scrap.io's phone type filter turns into a money-maker. Filter for mobile numbers, write a short SMS, run a targeted text campaign. SMS open rates sit around 98%, versus roughly 20% for email. But you can't run SMS outreach if you don't know which numbers are actually mobile. Extracting mobile numbers from Google Maps blindly means half your messages hit landlines.

Dead on arrival.

Multi-Channel: 3–5× More Meetings

Here's the stat that should reshape your whole approach: multi-channel outreach (phone plus email plus LinkedIn) generates a 3–5% meeting rate versus 1% for single-channel. Clay documents 3–8% reply rates on Google Maps lead generation campaigns that pair cold calls with personalized email. So don't just call. Call, then email, then follow up on social. Use the google maps data scraper for phone and email to build complete profiles, then convert scraped leads into customers with a proper nurture sequence instead of a one-and-done blast.

CRM Integration

Scrap.io exports are CSV or Excel, so they drop into HubSpot, Salesforce, Pipedrive, or whatever you run in about 30 seconds. Map your columns, hit import, done. Want more? Scrap.io's API and Make.com integration let you auto-enrich leads in your CRM on autopilot: scrape, enrich, push to CRM, trigger the sequence. Set it once, forget it.

Is Scraping Phone Numbers from Google Maps Legal?

Short answer: yes, with caveats. And I know what you're thinking. "Of course the scraping company says it's legal." Fair. So let's look at the actual case law instead of vibes.

hiQ v. LinkedIn: The Precedent

The hiQ Labs v. LinkedIn case (2022 settlement, originally 9th Circuit) established that scraping publicly available data does not violate the Computer Fraud and Abuse Act. Google Maps business data is publicly available. Anyone with a browser can see it. No login wall, no access restriction. That's the legal foundation every legitimate google maps scraping tool stands on.

GDPR & CCPA

In the EU, GDPR's "legitimate interest" basis (Article 6(1)(f)) generally permits processing publicly available business contact data for B2B prospecting, as long as you offer opt-out and don't do anything creepy with it. CCPA in California carries similar carve-outs for publicly available information. The key word is business data. We're talking commercial phone numbers businesses voluntarily published. Not someone's personal cell.

Best Practices

Don't be an idiot about it. Respect opt-out requests. Don't scrape residential listings. Keep your data usage tied to legitimate business purposes. And check your local rules, because some countries are stricter. Scrap.io is GDPR and CCPA compliant and only processes publicly available business information. For the full legal deep-dive, read the breakdown on whether it's legal to scrape Google Maps.

FAQ

Is it legal to scrape phone numbers from Google Maps?

Yes. The hiQ v. LinkedIn ruling confirmed that scraping publicly available data is legal under US law, and Google Maps business listings are public. In the EU, GDPR permits processing business data under legitimate interest, provided you offer an opt-out. Stick to business numbers, not personal ones, and comply with local laws.

What is the best free Google Maps phone number scraper?

For free tools, G Maps Extractor and Instant Data Scraper are your best options. G Maps Extractor has 12,500+ users and handles basic extraction well. But both cap out around 120 results per search, and phone formatting gets unreliable. For anything serious, the best google maps scraper free at scale is Scrap.io via its trial (100 leads). Our Chrome extensions guide compares them all.

Can I tell the difference between mobile and landline numbers?

Most tools can't. Scrap.io is one of the few google maps phone number extractors that automatically classifies every number as landline, mobile, or special, globally (except US and Canada). That's crucial if you're planning SMS campaigns or want to focus on direct mobile outreach.

How many phone numbers can I extract at once?

Chrome extensions: about 120 per search. Cloud scrapers: a few thousand per run, depending on credits. Python scripts: technically unlimited, but you'll hit rate limits fast. Scrap.io: country-scale, up to 100,000+ credits per month on the Company plan, with 11,734 results demonstrated in 45 minutes in a single extraction. It's the only route that handles how to scrape phone numbers from google maps for free at scale, via the trial.

Should I scrape data or buy a database?

Scrape. Always. Purchased databases decay at 30–70% per year, meaning up to 70% of the numbers you paid for could be wrong within 12 months. Real-time scraping from Google Maps gives you verified, current data every single time. It costs less, it's more accurate, and you can filter for exactly what you need. There's no scenario where a static CSV from 2024 beats a live extraction.

Can I scrape phone numbers from Google Maps on Android or mobile?

Not really, and here's the honest answer. Chrome extensions don't run on Android, and Google Maps scraper apps for phone are either fake or sketchy. The practical move is a cloud tool like Scrap.io that runs entirely in the browser: log in from any device, including your phone, run the search, and export. The heavy lifting happens on their servers, not your handset. No app to install, no coding, works from a laptop or a tablet just the same.