How to Scrape Google Maps Data (2026 Guide)

Google Maps is quietly the largest, freshest business directory on the planet. Almost every company in the United States has a listing, kept up to date by the owners themselves — name, address, phone, website, hours, rating, and reviews. If you sell to local businesses, run outreach, or study a market, that data is gold.

The catch: Google gives you no export button. You can look at listings one at a time, but there's no "download all" — which is exactly why "how to scrape Google Maps" is one of the most searched questions in the data world.

This guide walks through every realistic way to extract Google Maps data in 2026, what each method is actually good for, where the legal line sits, and how to end up with a clean spreadsheet you can use.

What data can you actually get from Google Maps?

For each business listing, the public fields are:

• Business name
• Category (e.g. "Dentist", "Coffee shop")
• Full address
• Phone number
• Website
• Google rating and number of reviews
• Opening hours
• Plus code / coordinates
• The Google Maps link itself

Everything above is visible to any visitor. Note what is not fair game: personal data about individuals, private contact details, or anything hidden behind a login. Sticking to public business information keeps you on the right side of both Google's terms and privacy law (more on that below).

The five ways to scrape Google Maps

1. Copy-paste by hand

The zero-tools method: search, open each listing, copy the fields into a spreadsheet.

• Good for: 10–20 listings, one time.
• The problem: it does not scale. Pulling every plumber in a mid-size city by hand is a full day of mind-numbing work, and you will make transcription errors. If you need a real list, skip this.

2. Browser extensions

There are Chrome extensions that scrape the results panel while you scroll. You run a search, hit the extension, and it grabs what's on screen.

• Good for: a few hundred rows, occasionally.
• The problems: extensions break constantly because Google changes its layout; they hit rate limits and CAPTCHAs after a few hundred results; and the export is usually messy — duplicates, half-empty fields, and no easy way to combine several cities. You also can't leave one running unattended.

3. Write your own scraper (Python)

If you code, you can build a scraper that queries Google Maps, walks the results, and writes each listing to a file. In practice this means handling:

• Pagination — Maps loads results as you scroll, so you have to drive that.
• Rendering — a lot of the data is loaded by JavaScript, so a simple HTTP request isn't enough; you need a headless browser or the internal endpoints.
• Blocking — from a datacenter IP, Google will rate-limit or serve CAPTCHAs quickly, so you need rotating residential proxies.

• Cleaning — deduplicating and normalizing phone/URL formats afterward.

• Good for: developers who need full control and will maintain it.

• The problems: it's real engineering work, and it keeps being work — every time Google shifts something, your scraper needs fixing. Proxies cost money. For a one-off list, it's rarely worth building.

Tip: if you go this route, pull the structured JSON that Maps loads behind the scenes rather than scraping the rendered HTML. It's far more stable than parsing the visual layout — which changes often.

4. No-code scraping tools

Platforms like the various "Maps scraper" SaaS tools let you enter a search and a location and get a downloadable file, without writing code. They handle proxies and pagination for you.

• Good for: recurring, self-serve scraping if you're willing to learn the tool and pay a monthly fee.
• The problems: monthly cost whether you use it or not, credit systems that get expensive at volume, a learning curve, and results that still often need cleanup before they're usable.

5. Done-for-you (a service)

You describe what you want — the category and the locations — and someone hands back a clean, deduplicated spreadsheet. No tools, no proxies, no maintenance on your side.

• Good for: anyone who wants the data, not a data project — especially for one-off lists or when quality matters.
• The trade-off: you're paying for the result instead of doing it yourself, so it only makes sense when your time is worth more than the task.

This is what we do at Scrapels — but whether you hire us or not, the honest framing is: pick the method that matches how often you need the data and whether you enjoy maintaining scrapers.

Is scraping Google Maps legal?

Short version: collecting publicly visible business information is generally fine; how you use it is where the rules live.

A few principles that keep you safe:

• Public business data only. Names, addresses, phones, and websites that any visitor can see are business facts, not private personal data.
• Don't collect personal data about individuals, and don't try to get at anything behind a login.
• Respect how you contact people. If you email or call the businesses you collect, that's governed by marketing laws like CAN-SPAM (US) and GDPR (EU) — use legitimate, relevant B2B outreach, honor opt-outs, and don't spam.

Scraping public data has been repeatedly treated as lawful in US courts, but Google's own Terms of Service discourage automated access, and this guide isn't legal advice. If you're operating at scale or in a regulated industry, talk to a lawyer about your specific use case.

Getting to a clean CSV

However you collect the data, the raw output is rarely ready to use. Before it's a real lead list you'll want to:

1. Deduplicate — the same business often appears under multiple searches.
2. Normalize phone numbers into one consistent format.
3. Clean URLs — strip tracking parameters, fix missing https://.
4. Drop empty rows — listings with no phone or website may not be worth keeping.
5. Split location into separate city / state / ZIP columns if you'll filter on them.

Only after that is the file something you can drop straight into a CRM or a cold-email tool.

So which method should you pick?

There's no single "best" — only the one that fits your volume, your budget, and how much you enjoy fighting layout changes and CAPTCHAs.

Frequently asked questions

How many listings can you get from one search? Google's own interface caps a single search at roughly 120 results, which is why real scraping splits a market into many smaller searches (by neighborhood, ZIP, or radius) and combines them.

Can I get email addresses from Google Maps? Maps rarely shows emails directly. The usual approach is to scrape the website for each business, then extract the contact email from that site — a second step often called email extraction.

Will I get blocked? From a normal browser at human speed, no. At scale from a datacenter IP, yes — which is why serious scraping uses rotating residential proxies and careful rate limiting.

What format should the data be in? CSV is the universal choice — it imports into Excel, Google Sheets, and every CRM. XLSX and Google Sheets are fine too.

The bottom line

Google Maps holds an enormous, constantly refreshed set of business leads — you just have to get it out. If you need it once or twice and enjoy the tooling, a scraper or extension will do. If you need clean, reliable data and would rather skip the maintenance, a done-for-you service gets you there faster.

Either way, the goal is the same: turn a Maps search into a clean spreadsheet you can actually act on.

Want the data without building the scraper? Our Google Maps Scraping Service turns any category and location into a clean, deduplicated CSV — and we'll send a free 20-row sample so you can check the quality first.