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G2
4.7/5
Excellent
Trustpilot

Turn Google Maps
into structured data

Extract Google Maps places for any search and location: names, addresses, phones, websites, ratings, review counts, opening hours, and coordinates, ready for lead lists and local research.

01-Integration

Integrate Google Maps API your way

Connect to Scrape.ly using Python, JavaScript, HTTP, cURL, OpenAPI, or MCP and start extracting Google Maps data in minutes.

from scrapely_client import ScrapelyClient
client = ScrapelyClient('YOUR_TOKEN', api_url='https://api.scrape.ly')
run = client.actor('cornerledger/google-maps-scraper').call(
run_input={
'searchStringsArray': ['coffee shop'],
'locationQuery': 'Seattle, WA',
'maxCrawledPlacesPerSearch': 20,
}
)
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
02-Input & Output

Send a search and a location, get structured place data

Pass search terms, locations, and place limits into Scrape.ly. Get structured outputs with names and categories, addresses and coordinates, phones and websites, ratings and review counts, and opening hours, and more.

Input
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{
 "searchStringsArray": [
  "coffee shop"
 ],
 "locationQuery": "Seattle, WA",
 "maxCrawledPlacesPerSearch": 20
}
Output
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{
 "title": "Elm Coffee Roasters",
 "categoryName": "Coffee shop",
 "address": "240 2nd Ave S, Seattle, WA 98104",
 "phone": "(206) 445-7808",
 "website": "https://www.elmcoffeeroasters.com",
 "totalScore": 4.6,
 "reviewsCount": 1287,
 "location": {
  "lat": 47.6006,
  "lng": -122.3317
 },
 "placeId": "ChIJ8a1xQ7tqkFQR2Yb4tJbJm2E"
}
03-How it works

Start extracting Google Maps data in four simple steps

Scrape.ly keeps the setup simple so you can move from signup to live Google Maps data without wasting time on scraping infrastructure.

Step 1

Create your Scrape.ly account

Create your account and get access to ready-made APIs, scrapers, and automation tools.

Step 2

Get your Scrape.ly API token

Copy your API token from the Scrape.ly dashboard and use it to authenticate your requests.

Step 3

Connect Google Maps API

Choose Python, JavaScript, HTTP, or MCP and connect Scrape.ly to your app or workflow.

Step 4

Fetch Google Maps data

Send your search terms, locations, and place limits, then receive clean structured data ready for analysis.

04-Why Scrape.ly

Everything you need to extract data reliably

Scrape.ly gives you ready-made APIs, proxy support, monitoring, exports, integrations, and scalable infrastructure in one platform.

Never Get Blocked

Use built-in proxy support to reduce blocks, rate limits, and failed requests.

Export Any Format

Get results in JSON, CSV, Excel, XML, HTML table, RSS, or other workflow-friendly formats.

Monitor Every Run

Track scraper status, performance, failures, retries, and outputs from one dashboard.

Built-In Integrations

Connect with webhooks, APIs, automation tools, cloud apps, and internal systems.

Scalable Infrastructure

Run small tests or high-volume extraction jobs without rebuilding your scraping stack.

Developer-Friendly

Use clean APIs, SDKs, docs, examples, and structured outputs built for real workflows.

05-AI-Ready Data

FeedGoogle Mapsdata into your tools instantly

Connect Scrape.ly with your apps, dashboards, sheets, agents, and automation workflows to turn Google Maps data into action.

06-Explore APIs

More Google Maps APIs on Scrape.ly

Browse ready-made Google Maps scrapers and APIs available inside Scrape.ly and choose the one that fits your workflow.

//07-FAQ\\

Common questions about Google Maps API

Quick answers about using Scrape.ly's Google Maps API, available data, setup, and legal usage.

Got more questions?Reach out to us


Official APIs, where they exist, usually need approval, keys, or paid tiers and limit which public data you can pull. Scrape.ly's Google Maps API collects the public data shown on Google Maps and returns it as structured JSON, with no approval process.

G2
4.7/5
Excellent
Trustpilot

The internet is full of data.
Start owning yours.

Scrape.ly gives you the infrastructure, the tooling, and the team to extract, process, and operationalize web data at any scale. Setup takes minutes. The advantage lasts forever.

No credit card. No setup calls.