Google Maps Scraper with Emails
Pricing
from $2.00 / 1,000 results
Google Maps Scraper with Emails
Scrapes Google Maps for any search query in any country. Extracts business name, phone, email, website, address, category, and rating. Visits each place's website to find email addresses. Built for mass scraping.
Pricing
from $2.00 / 1,000 results
Rating
5.0
(1)
Developer
Ayoub Mansouri
Maintained by CommunityActor stats
1
Bookmarked
14
Total users
4
Monthly active users
12 days ago
Last modified
Categories
Share
The only Google Maps scraper that breaks Google's 120-result cap.
Most Google Maps scrapers hit a wall at 120 results per search — that's Google's built-in limit, not a bug. This one uses a geo-grid to slice your target area into cells and scrape each one independently, finding thousands of businesses per city instead of 120.
Then it visits every business website and extracts emails — even the ones hidden inside contact forms (WordPress Contact Form 7, Formspree, mailto actions, hidden inputs, inline scripts). Most scrapers can't see those. This one can.
Built for lead-gen agencies, SDR teams, and anyone who needs lead lists that don't end at 120.
Why this scraper beats the alternatives
1. Breaks the 120-result cap. Geo-grid splits any city into ~30 cells at the optimal zoom level. Each cell runs its own search. Real result: 500+ unique dentists in NYC, not 120. 2,800+ restaurants in Paris, not 120.
2. Finds emails ~90% of the time. Crawls homepages, contact pages, and about pages. Extracts emails from inside HTML forms — the ones every other scraper misses because the email isn't visible on the page.
3. Cheaper per lead than competitors. Direct HTTP for website crawls (no proxy cost). Resource blocking cuts Google Maps bandwidth ~70%. Browser tabs open only when strictly necessary. $5 per 1,000 places.
4. Survives long runs. State persists across Apify machine migrations. A 10,000-result job resumes exactly where it stopped.
Who this is for
- Lead-gen agencies doing territory sweeps for clients
- SDR teams building outbound lists at scale
- Local SEO agencies prospecting their target verticals
- Sales ops seeding CRMs with verified business contacts
If you need 100 leads, any scraper works. If you need 5,000+, you need a geo-grid.
What you get
| Field | Example |
|---|---|
name | John's Plumbing & Drain Services |
category | Plumber |
phone | +1 323-422-7485 |
email | info@johnsplumber.com |
website | https://johnsplumber.com/ |
address | 1247 Riverside Dr, Los Angeles, CA 90039 |
city | Los Angeles |
state | CA |
zip | 90039 |
rating | 4.9 |
reviewsCount | 53 |
facebook | https://www.facebook.com/johnsplumbing |
instagram | https://www.instagram.com/johnsplumbing/ |
twitter | https://twitter.com/johnsplumbing |
linkedin | https://www.linkedin.com/company/johnsplumbing |
googleMapsUrl | https://www.google.com/maps/place/... |
Input examples
Simple search — one keyword, one city
{"searchStringsArray": ["dentist"],"locationQuery": "Chicago"}
Multiple keywords — lead generation campaign
{"searchStringsArray": ["plumber","electrician","HVAC contractor","roofer"],"locationQuery": "Houston, TX","scrapeEmails": true,"skipClosedPlaces": true}
International — any language, any country
{"searchStringsArray": ["restaurant", "café"],"locationQuery": "Paris","language": "fr"}
Mass scraping — cover an entire metro area
{"searchStringsArray": ["therapist", "psychologist", "counselor"],"locationQuery": "New York City","maxCrawledPlacesPerSearch": 0,"maxConcurrency": 5}
The geo-grid automatically splits the area into ~30 cells at the optimal zoom level, scraping each one to find every listing.
Location baked into keywords
{"searchStringsArray": ["dentist Chicago","dentist Houston","dentist Phoenix"],"scrapeEmails": true}
Fast mode — skip email extraction
{"searchStringsArray": ["gym", "fitness"],"locationQuery": "Miami","scrapeEmails": false}
Runs significantly faster. You still get name, phone, address, category, rating, and website.
How email extraction works
The scraper uses a 3-step pipeline to maximize email discovery:
- Homepage scan — Visits the business website via fast HTTP request. Uses Crawlee's
social.parseHandlesFromHtmlto find mailto links, email patterns, phone numbers, and social media profiles. - Contact form extraction — Scans for hidden emails inside
<form>elements:action="mailto:...", hidden input values, data attributes, and inline script configurations (catches WordPress Contact Form 7, Formspree, and similar setups). - Sub-page crawl — If no email found on the homepage, automatically discovers and scans contact/about pages on the same domain.
This catches emails that basic scrapers miss — many businesses only expose their email inside a contact form, not as visible text on the page.
How the geo-grid works
Google Maps only returns ~120 results per search. To get full coverage of a city or region:
- The actor geocodes your location into a bounding box (via OpenStreetMap Nominatim)
- It picks the optimal zoom level based on the area size
- It splits the bounding box into a grid of cells
- Each cell gets its own Google Maps search, finding results in that specific area
- Results are automatically deduplicated by Google Maps place ID
For a city like New York, this creates ~30 cells and can find 500+ unique businesses per keyword.
Tips for getting the most results
- Use multiple related keywords — "plumber", "plumbing service", "emergency plumber" will each find some unique listings
- Set maxCrawledPlacesPerSearch to 0 — No limit per grid cell means maximum coverage
- Increase maxConcurrency to 5-10 for faster runs (default is 5)
- Deduplication is automatic — The same business found across multiple keywords or grid cells is only included once
Input reference
| Parameter | Type | Default | Description |
|---|---|---|---|
searchStringsArray | string[] | required | Keywords to search on Google Maps |
locationQuery | string | — | City, region, or country. Auto-geocoded into a geo-grid |
startUrls | object[] | — | Google Maps URLs to scrape directly |
maxCrawledPlacesPerSearch | integer | 0 | Max results per grid cell. 0 = no limit |
placeMinimumStars | number | 0 | Minimum star rating filter (0-5) |
skipClosedPlaces | boolean | false | Skip closed businesses |
scrapeEmails | boolean | true | Extract emails and social media from websites |
language | string | "en" | Google Maps language code |
maxConcurrency | integer | 5 | Parallel browser pages (3-10 recommended) |
zoom | integer | 0 | Geo-grid zoom. 0 = auto-detect |
Export
Download results from the Apify console as CSV, JSON, or Excel. Connect to Google Sheets, Slack, CRMs, or webhooks via Apify integrations.
Cost
Pay Per Event: $0.005 per place ($5 per 1,000 results).