Google Restaurant Data API for Places, Ratings & Reviews

Access structured restaurant and food-business data using our Google Restaurant Data API solution. Collect restaurant names, addresses, coordinates, ratings, reviews, opening hours, business status, contact information, and location-level insights for market research, competitor monitoring, restaurant discovery, and location intelligence.

[
    {
        "ID": "0",
        "Store_Name": "Safeway Store 1",
        "URL": "https://www.safeway.com/store-1",
        "Timing": "Open 24 Hours",
        "Address": "123 Main St, City, State ZIP",
        "Ratings": "4.5"
    },
    {
        "ID": "1",
        "Store_Name": "Safeway Store 2",
        "URL": "https://www.safeway.com/store-2",
        "Timing": "Open Until 9:00 PM",
        "Address": "456 Elm St, City, State ZIP",
        "Ratings": "4.2"
    },
    {
        "ID": "2",
        "Store_Name": "Safeway Store 3",
        "URL": "https://www.safeway.com/store-3",
        "Timing": "Open 24 Hours",
        "Address": "789 Oak St, City, State ZIP",
        "Ratings": "4.8"
    }
    // Add more Safeway stores as needed
]

Extract Region-Wise Restaurant Data with Google API

Build location-specific restaurant datasets by collecting restaurant and food-business information across cities, states, neighborhoods, ZIP codes, or other target markets.

Businesses can use location-level data to:

Identify restaurants across selected markets
Compare restaurant density by region
Analyze local competitor presence
Discover new restaurant locations
Map business coverage across cities
Support market expansion research

Google’s Nearby Search allows place discovery based on location and place type, while Text Search supports queries such as restaurant names, addresses, and establishment categories.

Track Restaurant Ratings and Review Insights

Restaurant ratings and customer reviews provide useful signals about customer experience, brand reputation, and location-level performance.

Use structured restaurant review data to:

Compare competitor ratings
Monitor review volumes
Identify high-rated restaurants
Analyze customer feedback patterns
Track location-level reputation
Support sentiment analysis workflows

Google Place Details can return ratings and review information among its supported place attributes when the relevant fields are requested.

Monitor Competitor Restaurant Locations

Understand how competing restaurant brands are distributed across markets.

Structured location data can help businesses:

Find competitor outlets
Compare geographic coverage
Analyze restaurant density
Identify underserved markets
Monitor new location opportunities
Support site-selection research

Example: A QSR brand planning expansion can compare competitor restaurant locations, ratings, opening status, and geographic concentration before prioritizing target neighborhoods.

Access Restaurant Opening Hours and Business Status

Opening hours and business-status information help teams maintain accurate restaurant directories and understand local operating patterns.

Track information such as:

Current opening status
Regular opening hours
Business status
Restaurant address
Geographic coordinates
Delivery availability
Dine-in availability

Google Places currently includes fields for business status, opening hours, delivery, dine-in, and other establishment attributes, although availability depends on the specific place and API field requested.

Collect Restaurant Location & Contact Data at Scale

Build structured restaurant databases with place-level information that can be integrated into research platforms, directories, dashboards, and internal analytics systems.

Data Fields You Can Access

Category	Example Data
Restaurant Details	Restaurant name, place ID, business category
Location	Address, latitude, longitude
Ratings	Average rating, review count
Reviews	Review information where available
Operating Data	Opening hours, open/closed status
Contact Data	Phone information where available
Service Attributes	Delivery, dine-in, pickup-related attributes
Business Status	Operational or other available status
Source Data	Source URL/identifier, collection timestamp

Google’s Place Data Fields documentation currently lists address components, formatted addresses, business status, coordinates, opening hours, reviews, delivery, dine-in and various other place properties.

Discover Restaurants by Category and Location

Search restaurant and food-business listings based on geographic and category requirements.

Useful applications include:

Restaurant discovery platforms
Food directory development
Local market research
QSR expansion planning
Cuisine-market analysis
Competitor mapping
Restaurant database enrichment

Google Places supports both text-based and nearby place discovery, making location and business-type filtering central to its place search model.

Google Restaurant Data API Use Cases

Restaurant Market Research

Analyze restaurant density, ratings, geographic coverage, and competitive presence across target markets.

Competitor Intelligence

Compare competitor locations, ratings, review activity, and business coverage.

Location Intelligence

Map restaurant presence and identify opportunities for expansion or site selection.

Restaurant Discovery Apps

Build restaurant discovery, directory, recommendation, or food-tech applications with structured location information.

Review Analytics

Combine ratings and review data with restaurant attributes to evaluate customer sentiment and reputation trends.

Business Database Enrichment

Enrich existing restaurant records with structured place, location, rating, and operating information.

Google API Data Delivery Options

Receive restaurant data in a format that fits your existing workflow.

Delivery Option	Best For
REST API / JSON	Applications and automated systems
CSV	Data analysis and bulk exports
Excel	Business and research teams
Database-Ready Files	Internal databases and warehouses
Cloud Delivery	Recurring large-volume data feeds
Custom Workflow	Enterprise requirements

For teams using Google’s official Places API directly, requests require billing to be enabled and API requests use an API key or OAuth token; pricing varies by the API SKU and request volume.

Need Google Restaurant Data for Your Business?

Get structured restaurant locations, ratings, reviews, opening hours, business details, and place-level insights tailored to your market and data requirements.

Request a Quote

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Why Foodspark for Review Data APIs?

Connect with Experts

Foodspark is an expert and experienced food review API provider that ensures automated data collection for a smooth analysis process and enhanced data reliability to align with the business structure.

Access to Real-Time Data

Advanced review APIs enable businesses to collect real-time customer feedback to stay updated on customer sentiment and trends. This assists businesses in responding promptly to customer issues and improving service quality.

Cost and Time Efficiency

Compared to manual data scraping, advanced review data APIs by Foodspark provide an efficient, cost-effective way to gather extensive datasets. Review APIs deliver consistent data structures by automating the data extraction process.

High tech Security and Compliance

Using a review API directly from the platform ensures that data collection practices are highly secured and follow region-specific compliances. APIs handle privacy and security considerations more rigorously than general scraping.

Scalable Data Collection

With review APIs and data scrapers, businesses can easily gather vast amounts of review data across multiple platforms and regions. This ensures enterprises get comprehensive datasets for in-depth market analysis.

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