Google Maps data, structured for developers

Google Maps API for structured location intelligence

Search places and turn business profiles, addresses, ratings, reviews, opening hours, coordinates, and local results into clean, developer-ready JSON.

No credit card500 free requestsNo-code friendly

Live playground

Search Google Maps. See structured JSON.

Live Maps results

3 places

coffee shops in San Francisco

Google Maps results

Map updated

Blue Bottle Coffee 315 Linden St, San Francisco, CA 94102

{
  "query": "coffee shops in San Francisco",
  "source": "google_maps",
  "center": {
    "lat": 37.7749,
    "lng": -122.4194
  },
  "places": [
    {
      "name": "Blue Bottle Coffee",
      "address": "315 Linden St, San Francisco, CA 94102",
      "rating": 4.5,
      "reviews": 1245,
      "type": "Coffee shop",
      "openNow": true,
      "hours": "6:00 AM - 7:00 PM",
      "location": {
        "lat": 37.7764,
        "lng": -122.4232
      }
    },
    {
      "name": "Sightglass Coffee",
      "address": "270 7th St, San Francisco, CA 94103",
      "rating": 4.4,
      "reviews": 987,
      "type": "Coffee shop",
      "openNow": true,
      "hours": "7:00 AM - 6:00 PM",
      "location": {
        "lat": 37.7769,
        "lng": -122.4085
      }
    },
    {
      "name": "Ritual Coffee Roasters",
      "address": "1026 Valencia St, San Francisco, CA 94110",
      "rating": 4.6,
      "reviews": 1102,
      "type": "Coffee shop",
      "openNow": true,
      "hours": "7:00 AM - 8:00 PM",
      "location": {
        "lat": 37.7564,
        "lng": -122.4212
      }
    }
  ],
  "result_count": 3
}

Broad category searches may resolve a map area without returning individual place records. Specific business queries return richer data.

Trusted by the best startups in the world

The problem

Location data is powerful, but hard to structure at scale

Local data changes constantly, map interfaces are designed for people, and product teams need consistent fields rather than manual searches and messy pages.

Always changing

Hours, reviews, phone numbers, websites, and business status change frequently.

Fragmented workflows

Search, enrichment, coordinates, reviews, and nearby discovery often require separate tools.

Not product-ready

Map pages are visual experiences, not normalized datasets your application can use directly.

The solution

Turn Google Maps searches into structured API data

Use one API workflow to retrieve and normalize place, business, review, address, and geographic context for your product.

One response, ready to use

Get the core business and location fields your product needs in a consistent structure.

JSON

Place names and categories

Addresses and coordinates

Phone numbers and websites

Ratings and review counts

Opening hours and status

Photos and review content

Local search rankings

Nearby and related places

Normalized and ready for your database

REST APITyped JSON

response.json

{
  "title": "Blue Bottle Coffee",
  "categoryName": "Coffee shop",
  "address": "315 Linden St, San Francisco",
  "location": {
    "lat": 37.7764,
    "lng": -122.4232
  },
  "phone": "+1 415-555-0148",
  "website": "bluebottlecoffee.com",
  "totalScore": 4.5,
  "reviewsCount": 1245,
  "openingHours": {
    "openNow": true,
    "today": "6:00 AM - 7:00 PM"
  },
  "placeId": "ChIJ...",
  "temporarilyClosed": false
}

Capabilities

Built for maps, places, and local data workflows

Collect the fields your product needs without maintaining custom browser automation and parsers.

Place search

Find businesses, landmarks, addresses, and local services by keyword and location.

Place details

Retrieve addresses, categories, phone numbers, websites, ratings, reviews, and hours.

Location coordinates

Collect latitude, longitude, neighborhood, city, region, postal code, and place identifiers.

Nearby discovery

Find relevant places around a city, neighborhood, landmark, or geographic search area.

Review intelligence

Structure ratings, review counts, review text, reviewer context, and rating distributions.

Structured JSON output

Skip manual parsing and receive normalized fields ready for storage, analysis, and workflows.

Use cases

Use location data across your product stack

From local discovery to AI enrichment, structured map data connects directly to the workflows your customers already use.

Local SEO platforms

Track local rankings, competitor locations, categories, ratings, reviews, and market visibility.

Store locators & directories

Power nearby-location search, branch pages, business directories, and contact-data enrichment.

Operations & logistics

Validate locations and support service-area, pickup, delivery, and field-operations workflows.

AI location products

Give agents structured business context before producing recommendations, reports, or research.

How it works

From a location query to usable data in three steps

Step 1

Send a location request

Provide a query or Google Maps URL for a business, category, place, or geographic market.

Step 2

Olostep retrieves and parses

The scraper loads the result and the Google Maps parser normalizes available fields.

Step 3

Use the JSON response

Send the data into your application, database, CRM, dashboard, or AI workflow.

Developer experience

Simple for the first request. Flexible for production.

Use the standard Scrapes endpoint, API key authentication, and the Google Maps parser to return structured JSON.

REST APIAPI key authenticationJSON responsesCountry routingBatch workflowsWebhook-ready pipelines

Read the docs

cURL

curl --request POST \
  --url https://api.olostep.com/v1/scrapes \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "url_to_scrape":
      "https://www.google.com/maps/search/coffee+shops",
    "formats": ["json"],
    "parser": {
      "id": "@olostep/google-maps"
    },
    "wait_before_scraping": 4000
  }'

Build or buy

Maintain a location data pipeline—or use Olostep?

Focus engineering time on your product instead of browser infrastructure, parser maintenance, and data normalization.

Requirement

Build internally

Use Olostep

Place search

Build and maintain browser search logic

Send a query through the API

Place enrichment

Collect and parse every business field

Receive structured fields where available

Data normalization

Design and maintain your own schema

Use a normalized JSON response

Reliability

Handle blocks, rendering, and page changes

Use managed scraping infrastructure

Developer time

High ongoing maintenance

Faster integration and iteration

Responsible location data workflows

Use location data lawfully and review platform terms, privacy obligations, retention rules, attribution requirements, and applicable restrictions before production use.

Keep business data fresh and accurately represented
Respect attribution, review, photo, and display requirements
Avoid collecting unnecessary personal location data
Use reasonable request rates and documented retention policies

Give AI products real-world location context

Ground local search assistants, trip planners, real-estate research, lead enrichment, and recommendation agents with structured business and place data.

Local search agentsTravel plannersReal estate researchLead enrichmentMarket intelligence

Pricing

Start free. Scale when your workflow does.

Choose a plan based on successful requests, concurrency, and production volume.

Free

$0/ month

Test the API before building.

500 successful requests
No credit card required
Google Maps parser access

Starter

$9/ month

For prototypes and small workflows.

5,000 successful requests
150 concurrent requests
Everything in Free

Standard

$99/ month

For production data products.

200K successful requests
500 concurrent requests
Everything in Starter

Plan limits and pricing can change. Confirm current terms on the pricing page before purchase.

Frequently asked questions

Product & Capabilities

What is the Olostep Google Maps API?

It is a structured data workflow built on Olostep's scraping API and Google Maps parser. You provide a Google Maps query or URL and receive normalized location and business data in JSON.

Is this the official Google Maps Platform API?

No. This page describes Olostep's Google Maps results parser, not an official Google product or partnership. Google Maps is a trademark of Google LLC.

What data can it return?

Available fields can include business name, category, address, coordinates, phone, website, rating, review count, hours, status, photos, reviews, and related places. Coverage varies by result.

Can I use it for local SEO?

Yes. Common workflows include local rank tracking, competitor research, branch monitoring, category analysis, review monitoring, and market-level location intelligence.

Usage & Automation

How do I make a request?

Send a Google Maps URL to the Olostep Scrapes endpoint and select the @olostep/google-maps parser. The response includes parsed JSON content.

Can I search by a text query?

Yes. Construct a Google Maps search URL from a query such as “coffee shops in San Francisco,” then send that URL through the scraper with the Google Maps parser.

Can I store the returned data?

Storage, caching, display, and redistribution depend on your use case, data source, and applicable platform terms. Review those requirements before production use.

Does every result contain the same fields?

No. Fields depend on the place type, page availability, geographic market, and what Google Maps exposes for that result.

Pricing & Plans

Is there a free plan?

Yes. Olostep currently provides 500 free successful requests with no credit card required.

How is usage billed?

Requests consume Olostep credits according to your plan. Review the current pricing page and dashboard for the exact allowance applicable to your account.

Do I need a Google Maps API key?

Not for the Olostep parser workflow shown here. You authenticate with an Olostep API key.

Build your first location workflow today

Test a live Maps query, inspect the structured response, then connect the same parser to your product with an Olostep API key.

500 free requestsNo credit cardJSON output