Google Maps Email Extractor: Free, No Code, Proven (214,361 Listings)

Google Maps shows a phone number, a website and opening hours for almost every business. It never shows an email, and neither does its official API.

The emails sit on the businesses' own websites. A Google Maps email extractor goes and gets them. Here is how, tested on 100 real listings. In this post you'll learn:

• how to extract emails from Google Maps, free and without code;
• how many emails 100 listings really return, and what that costs;
• what you get on top of the emails;
• when a cloud scraper, a leads database, a Chrome extension or the official Places API is the right tool.

Extract emails from Google Maps

How to extract emails from Google Maps (free, no code)

Every Google Maps email scraper works the same way under the hood. It collects the listings, follows each website link, and reads the addresses published there.

As one r/webscraping commenter put it: "Google maps does not provide emails and social media accounts. You can get emails from the website."

Doing that crawl yourself means proxies, retries and a regex to maintain. Here is the no-code version with the Google Maps Leads Scraper.

Step 1: open the scraper

In the lobstr.io store, open the Google Maps Leads Scraper and click "Export leads now". No Google account, no API key.

Step 2: describe your search

Two ways in. Paste a Google Maps search URL, or fill a category and a place: I typed "plumber", United States, Texas, Austin.

The second is easier to scale: one row per city, and you can cover a whole state in a single run. The fields:

Behind the scenes, the scraper turns category and city into a geolocated search. Mine became google.com/maps/search/plumber/@30.26715,-97.74306,16z: "plumber", centred on Austin.

Step 3: switch on emails

In Settings, "Extract Emails from Website" is on by default. It is the step that visits each business website.

I also turned on "Verify emails", which tags each address valid, risky, catch-all, invalid or unknown. And I capped the run at 100 results.

The small red badge next to each option is its price in credits. Here is what every setting does:

Step 4: launch and download

Pick "Manually" for a one-off run, or "Repeatedly" to put it on a schedule. Rows fill in as the scraper moves through the listings and their websites.

My run took 8 minutes 58 seconds for 100 plumbers and cost 295 credits: 100 for the listings, 61 for the email crawl, 134 for verification. Then Download, CSV, and open it in Google Sheets.

All 100 rows sit in a public Google Sheet, emails included.

Run your own 100-listing test

The file is only as good as the hit rate, though. So how many of those 100 plumbers came with an email?

How many emails do you really get? The 100-listings test

57 out of 100 had a real business email. Here is the funnel, from listing to verified address:

86 plumbers had a website. 61 of those sites gave up at least one address, 81 unique ones in all.

I then checked each address against the business's own domain: 57 listings keep a real business email, 14 of them on Gmail. Phones were never the problem: all 100 listings had one.

One run is one sample, so I checked it against the bigger picture.

For 2026 I queried our production database: 1,033 runs from the last 30 days with email extraction on and no filter that would skew the count.

Those runs covered 214,361 unique listings. 149,194 had a website (69.6%) and 91,550 had at least one email: 42.7%.

US-wide numbers run lower. SphereScout, a B2B database built on our Google Maps scraper, lists 23,904,651 US businesses and 7.15 million with an email: 29.9%.

So Austin was a lucky draw. Across our last 30 days of runs, plumbers average 29%. Yoga studios reach 67%, French car washes 14%.

Test your own niche before you promise anyone a number.

A competitor claims "email address in 75% of cases" on Paris plumbers, without saying how many listings. Ours is 57 in 100, the CSV is public, and you can rerun the exact search.

Emails are the headline, but they are not the only column in the file:

What you get on top of emails, and what it costs

My CSV came back with 81 columns. The ones that matter for outreach:

The social links come from the same crawl. The scraper opens the website, follows its contact pages, and checks the listing's Facebook page too.

Every email, extra phone and social profile it finds lands in its own column. In my run, 56 plumbers linked a Facebook page and 39 an Instagram:

For many small businesses, Instagram is the real inbox. If phones are your channel rather than email, our phone number extractor guide covers that side.

Now the price. The run's Credits tab shows exactly where my 295 credits went:

The rule behind it has three lines:

• 1 credit per unique result;
• 1 more per lead where an email is found, 0 if none;
• 2 per verified email, and nothing when the verifier proves an address does not exist.

So 100 leads with one email each cost 200 credits, or 400 with verification. What a credit costs depends on your plan:

The full grid is on the pricing page. The free plan gives 100 credits a month, no credit card: enough to test 50 to 100 listings. Every result is exportable on Free; scheduling needs a paid plan.

Cheap is good. But is a scraper even the right tool? There are three other ways to get there.

Chrome extension vs cloud scraper vs leads database vs official Google Places API

There are four ways to get emails out of Google Maps. Here they are, side by side:

Cloud scraper: your exact search, collected today

A cloud scraper runs your search on its own servers the day you launch it: any category, any list of cities, on a schedule if you want. It visits every website for the emails, so the file is as fresh as the run.

Every lobstr.io scraper is built and maintained in-house. The store page shows 99.54% incident-free runs over the last 90 days, 25 incidents, all resolved:

That is the route this article takes. Comparing cloud scrapers? Our best Google Maps scrapers roundup ranks them, with dedicated Apify and Outscraper alternative pages.

Geolid, a local-marketing agency, cut its Google Maps data bill by four moving to lobstr.io.

Leads database: a whole country, right now

A leads database like SphereScout or scrap.io runs the collection in the background and sells you the result. A whole country is one download, with no run to wait for.

The trade-off is freshness and fit. SphereScout says its data is updated monthly, and you filter with the database's categories, not your own query.

Chrome extension: fine for a page or two

An extension scrapes the results on your screen, in your browser, on your IP. Good for a quick look at one neighborhood. Check which map it reads, though: the top Web Store listings say it in their own description.

I downloaded the two that rank on Google and read their manifests. Both scrape Bing Maps, not Google Maps. The Google Maps version one of these vendors sells is not on the Web Store: it is a ZIP you sideload in developer mode.

Official Google Places API: clean, capped, no email

The Places API (New) is Google's own door: structured JSON, a documented schema, a bill from Google. I called it from my terminal on 24 September 2026, "plumbers in Austin, TX", with every contact field it offers.

Phone and website come back. Ask for places.email and Google answers 400: "Cannot find matching fields for path 'places.email'".

The field does not exist. The official field list stops at nationalPhoneNumber, internationalPhoneNumber and websiteUri.

Those three fields also bump the call to the Enterprise tier: $35 per 1,000 calls, after 1,000 free a month.

One developer on r/webscraping learned it the expensive way, enriching 2,000 business records through Places: "$35/1k calls adds up fast". And still zero emails.

And the Places API is capped. I paginated the same search to the end and it stopped at 60 results, four calls, no email:

I ran the same search against 8 scraper APIs in my Google Maps scraper API benchmark.

It is the right tool for official data inside your own app. For lead lists, covering a city means many smaller queries, and none of them returns an email. You now have a list; the last part is sending to it without getting burned:

Using the emails: cold email that stays legal, at scale

These are business addresses published on business websites, so B2B outreach is possible on both sides of the Atlantic, with conditions. In the EU, the CNIL allows B2B prospecting if the person is informed where the address came from and can opt out for free.

Generic addresses like contact@company.com belong to the company, not a person. In the US, the FTC's CAN-SPAM guide asks for an opt-out and truthful headers.

The full breakdown, Google's terms included, is in is scraping Google Maps legal. I am not a lawyer, and this is not legal advice.

Then keep the list clean. On my run, the verifier sorted the 81 addresses like this:

Send to the valid ones first, treat unknown as a test batch, and drop the invalid ones (the scraper does not bill them).

Our cold email software comparison and subject lines guide pick it up from there.

Need a named person rather than info@? An email finder API takes the domain from your CSV and looks up the owner.

For scale, skip the dashboard. The 100-plumber run in this article was launched from Claude Code through the lobstr.io MCP server.

Setup is one line:

claude mcp add --transport http lobstr https://mcp.lobstr.io/mcp

Prefer a terminal? pip install lobstrio gives you the CLI, and the REST API does the same from any stack. Python fans can also read our Google Maps scraper in Python walkthrough.

Rather wire it into a no-code workflow? The same scraper runs from n8n and Make: trigger a run, fetch the results, push the emails to your CRM.

The best trick is the schedule. Rerun the same city search every week and diff the place_id column: new ids are listings that just appeared on Google Maps, the freshest leads you will get.

That is the engine behind Google Maps lead generation and local lead generation playbooks. To pick categories, start from the full Google business categories list.

Run your first 100 listings

FAQ

Is there a free Google Maps email extractor?

Yes, lobstr.io's free plan gives 100 credits a month, enough for 50 to 100 listings with email extraction (1 credit a listing, plus 1 when an email is found), no credit card required, every result exportable. Extension vendors have free tiers too: gmapsextractor.com gives 1,000 records a month.

Does Google Maps show email addresses?

No, Google Maps has no email field. Listings show a phone and a website; the emails live on those websites, which is what an extractor crawls.

Can the Google Places API return emails?

No, places.email returns error 400. The API's contact fields are phone numbers and websiteUri, billed at $35 per 1,000 calls on the Enterprise tier.

Can a Chrome extension extract emails from Google Maps?

Some can, by visiting each website from your browser. The two Web Store extensions that rank for this query actually run on Bing Maps; a Google Maps version sold by one of their vendors is a sideloaded ZIP.

How many emails can I get from 100 Google Maps listings?

57 in our Austin plumber test, and 42.7% across 214,361 listings scraped in the last 30 days. The rate depends mostly on the category.

Is it legal to scrape emails from Google Maps?

For B2B outreach, yes, with an opt-out under CNIL guidance and CAN-SPAM. Details in our Google Maps legality guide. Not legal advice.

Can I scrape a whole state or country?

Yes, one task per city in a single run. Google Maps returns up to 200 results per search, so splitting by city (or category) is how you cover a region. The country guide shows how.

Can Claude extract emails from Google Maps?

Yes, through the lobstr.io MCP server. One claude mcp add line and Claude launches the scraper, waits for the run and reads the emails back.

Final thoughts

Google Maps will never hand you an email, and neither will its API. The addresses sit one click away, on the websites Google does list.

Use a cloud scraper when the list is going into an outreach tool, a leads database when you need a whole country today, and the Places API when you need Google's own structured data. An extension is for a peek.

If you ever find an email field in the Places API, send it my way. I asked for it, and Google answered 400. Got questions? Ping me on LinkedIn, I always reply.