Extract Google Maps Data
Business listings, reviews, and local data from Google Maps.
Tell AuraCrawl what you need from Google Maps in plain language — "every dental clinic in Pune with rating, review count, and hours," "all new reviews on these 900 locations weekly." Maps renders in a virtualized, scroll-as-you-search interface that defeats scrapers expecting a page of results. We treat it as the streaming data surface it is.
What a response looks like
REQUEST
ask“Tell AuraCrawl what you need from Google Maps in plain language — which entities, which fields, how often. That sentence is the spec.”
{
"place_id": "ChIJZ2qk1MWrwjsR8VnP1aXkQm4",
"name": "Third Wave Coffee",
"category": "Coffee shop",
"address": "80 Feet Road, Indiranagar, Bengaluru 560038",
"rating": 4.3,
"review_count": 2841,
"phone": "+91 80 4719 2200",
"hours": {
"monday": "8:00 AM – 11:00 PM"
},
"latest_review": {
"rating": 5,
"posted": "2 days ago",
"excerpt": "The Vietnamese cold brew is consistently excellent..."
}
}What you can extract
- Business names, categories, and full addresses
- Ratings, review counts, and review text
- Phone numbers, websites, and opening hours
- Service-area and geo-searched result sets
- Attributes: dine-in, delivery, accessibility, and more
- New-review feeds for reputation monitoring
PIPELINE Aura Vision reads Maps' virtualized result streams — content that never exists as a static page — and Aura Build turns it into one clean record per place.
Related targets
Request Google Maps data.
Describe the fields, the volume, and the cadence. We scope the extraction and deliver a sample before you commit.