How to Extract Email Addresses from Google Maps (2026)

Google Maps almost never shows email addresses directly on a business pin. To extract them, a scraper must visit the business website (when one exists) and parse contact pages, footers, "about" pages, and mailto: links. With that approach, you can expect to recover an email for roughly 40–60% of businesses that have a website — varying by industry and country.

Here's how it actually works, what hit rate to expect, and how to use the data legally.

Why Google Maps doesn't show emails

Google Maps is designed for consumers looking for a place to visit — phone number, address, hours, photos. Email is a B2B contact channel, not a consumer one, so Google has no incentive to surface it on the place page. The "contact" section on a Maps pin almost always tops out at phone + website.

That means email extraction is always a two-stage process:

1. Scrape Google Maps to collect business names + websites
2. Crawl each website to find the email

Stage 2: how website email extraction works

A good email extractor follows roughly this algorithm for each website:

1. Fetch the homepage. Parse all mailto: links — those are guaranteed real emails.
2. If no mailto: was found, look for common contact pages: /contact, /contact-us, /about, /team, /impressum (German), /contact.html, /contacts. Fetch each, parse mailto: and any plaintext email patterns.
3. Run a regex over the visible page text: [a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}. Filter out obvious noise ([email protected], your-email@…, image filenames, etc.).
4. Score the results: prefer emails on the same domain as the website ([email protected] for a business at business.com), demote gmail.com/yahoo.com addresses, demote anything that looks like a placeholder.
5. Return the highest-scoring email — or all emails if the user wants the full list.

The whole process takes 2–10 seconds per website. Do that for 1,000 businesses and you've spent 30–90 minutes of crawling time.

What hit rate to realistically expect

The "no website, no email" rule is the biggest factor. Across our scrapes, the breakdown looks roughly like this:

These numbers vary a lot by country. Germany, the UK, and the Nordics have very high website penetration. Southeast Asia and parts of Latin America have lower website penetration but better in-line phone visibility.

The honest takeaway: if you scrape 1,000 dentists in a major European city, expect roughly 400–600 emails in the final spreadsheet — not 1,000.

Common gotchas

Email obfuscation

Some sites display emails as info [at] business [dot] com to fool naive scrapers. A decent extractor de-obfuscates the four most common patterns: [at], (at), {at}, at.

JavaScript-rendered emails

A surprising number of small business sites render the contact email via JavaScript (often through a "click to reveal" widget). A headless browser handles these; a plain HTTP fetch does not. This is why production email extractors run on Playwright, not curl.

CAPTCHAs on contact forms

Some sites hide email behind a contact form guarded by reCAPTCHA. These are unrecoverable without the user actually filling the form. Skip them — moving on to the next site is faster than fighting it.

Catch-all and role addresses

info@, contact@, and hello@ are role addresses, not personal ones. They have lower deliverability and lower reply rates than a named person's email — but they're still valid for opt-in opportunities and for finding the right human via reply forwarding.

Is extracting emails legal?

Scraping the emails themselves is legal in the EU and US — they are publicly displayed contact information. What you do next is regulated. Two big rule sets matter:

• GDPR (EU). Sending unsolicited marketing email to a private individual's address is restricted. Sending B2B marketing to a role address ([email protected]) at an EU company is generally allowed under "legitimate interest," provided you offer an unsubscribe link, identify yourself, and respond to objections promptly.
• CAN-SPAM (US). Sending commercial email is allowed without prior consent, provided you include a physical address, an unsubscribe mechanism, an honest "from" name, and a non-deceptive subject line.

Bottom line: scraped emails are usable for opt-in cold outreach if you follow the rules. They are not usable for buying email lists, selling them on, or running spam campaigns — that gets your sending domain blocked within hours.

Automating it

You can write the email-extraction stage yourself in Python with aiohttp + BeautifulSoup, or use a managed service. g-maps-scraper.com bundles the email extraction into every search — it's not a separate add-on. Run a search for "dentists in Munich" and the resulting CSV already contains the email column.

Try it on your own data

Sign up for 30 free searches and run any query that matches your target market. The CSV downloads with the email column populated wherever the website-crawl found one.

Next: Is Google Maps scraping legal?