How to scrape Google Maps in 2026: 4 methods

The four methods compared

Option 1: copy it by hand

At about a minute per listing, 50 businesses take an hour, and Maps shows no emails.

Option 2: the official Google Places API

Results per search are capped (traditionally at 60), there's no email field, and Google's terms restrict storing the data beyond limited caching, which is what a lead list is. Google Places API vs scraping compares caps, fields and cost.

Option 3: write your own scraper

Playwright or Puppeteer can drive a real browser: search, scroll the feed to the end, open each place, extract the fields, then parse every website for emails.

Option 4: a purpose-built tool (the 3-minute version)

In Hubertino the first 100 credits are free, no card needed.

hubertino.com/dashboard/scrapers/places

hubertino.com/dashboard/scrapes

The 120-result cap, in numbers

A search stops at roughly 100–120 places, however many exist, so coverage depends on how many searches you run, not on the tool.

Take San Diego's dentists (estimate: population times a national per-capita rate; the local market size calculator runs it for any town). The location picker splits the city into ZIP codes averaging about 24 dentists each; ZIP-code scraping covers a ZIP that still hits the cap.

dentists in San Diego, by our rough estimate

~1,800

reached by one city-wide search

7%

ZIP-code searches reach nearly all

76

From code: the same scrape over an API

Our Google Maps scraper API takes the dashboard's inputs and returns finished rows: POST /api/v1/scrapes, poll GET /api/v1/scrapes/{id} until its status is done, then download /api/v1/scrapes/{id}/export as CSV or XLSX. From the docs' Python quickstart:

# pip install requests
import os, time, requests

API = "https://hubertino.com/api/v1"
session = requests.Session()
session.headers["Authorization"] = f"Bearer {os.environ['HUBERTINO_API_KEY']}"

def call(method, path, **kwargs):
    res = session.request(method, API + path, timeout=120, **kwargs)
    if res.status_code >= 400:  # every error body is {"error": "..."}
        raise SystemExit(f"HTTP {res.status_code}: {res.text}")
    return res

# 1. Start a scrape
scrape = call("POST", "/scrapes", json={
    "categories": ["dentist"],
    "locations": ["Austin, TX, United States"],
    "maxResults": 50,
    # "seoAudit": True, "findContacts": True,  # paid add-ons, Starter/Pro
}).json()["scrape"]

# 2. Poll until it finishes (and, with paid add-ons, until their charge is final)
while scrape["status"] not in ("done", "error") or scrape.get("addonsPending"):
    time.sleep(5)
    scrape = call("GET", f"/scrapes/{scrape['id']}").json()["scrape"]
if scrape["status"] == "error":
    raise SystemExit(scrape["error"])  # the reserved credits were refunded

# 3. Download the CSV
csv = call("GET", f"/scrapes/{scrape['id']}/export", params={"format": "csv"})
with open("leads.csv", "wb") as f:
    f.write(csv.content)
print(scrape["resultCount"], "businesses,", scrape["creditsCharged"], "credits charged")

Is scraping Google Maps legal?

Collecting business details that are publicly listed is generally lawful in the US and EU, but Google's Terms of Service restrict automated collection from Google Maps. What you then do with the data is regulated in its own right: in the UK and EU, GDPR covers keeping any record that identifies a person, and outreach falls under CAN-SPAM in the US, PECR in the UK, § 7 UWG in Germany, CASL in Canada and the Spam Act in Australia. This isn't legal advice; our legal guide goes into more detail.

Common questions