Dataplex: Google Reviews & Ratings Dataset | Track Consumer Sentiment & Location-Based Insights product image in hero

Dataplex: Google Reviews & Ratings Dataset | Track Consumer Sentiment & Location-Based Insights

Dataplex
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REVIEW_YEAR
REVIEW_COUNT
AVERAGE_RATING
MIN_RATING
MAX_RATING
REVIEW_SUMMARY
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AUTHOR,RATING,REVIEW_HASH,REVIEW_TEXT,REVIEW_DATE_ESTIMATED
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OVERALL_DATE
NAME
OVERALL_RATING
TOTAL_REVIEWS
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Volume
10K
reviews daily
Data Quality
100%
Clean attributes
Avail. Formats
.json and .csv
File
Coverage
250
Countries
History
5
years

Data Dictionary

[Sample] sample_reviews_by_year_with_summary.csv
Attribute Type Example Mapping
REVIEW_YEAR
Integer 2018
REVIEW_COUNT
Integer 3
AVERAGE_RATING
Float 5.0
MIN_RATING
Integer 5
MAX_RATING
Integer 5
REVIEW_SUMMARY
String Buc-ee's in Texas is a popular road trip tradition with c...
[Sample] sample_reviews_by_day.csv
Attribute Type Example Mapping
AUTHOR,RATING,REVIEW_HASH,REVIEW_TEXT,REVIEW_DATE_ESTIMATED
String Jake Adkins,5,211cc08dc44a22f59112692877aa1530,How can yo...
[Sample] sample_overall_reviews_by_day.csv
Attribute Type Example Mapping
OVERALL_DATE
DateTime 2025-02-03T00:00:00+00:00
NAME
String Buc-ee's Bastrop
OVERALL_RATING
Float 4.32
TOTAL_REVIEWS
Integer 1688

Description

Gain valuable customer feedback for specific locations with daily updated Google Reviews & Ratings data. Perfect for businesses looking to analyze sentiment, track performance, and benchmark against competitors.
The Google Reviews & Ratings Dataset provides businesses with structured insights into customer sentiment, satisfaction, and trends based on reviews from Google. Unlike broad review datasets, this product is location-specific—businesses provide the locations they want to track, and we retrieve as much historical data as possible, with daily updates moving forward. This dataset enables businesses to monitor brand reputation, analyze consumer feedback, and enhance decision-making with real-world insights. For deeper analysis, optional AI-driven sentiment analysis and review summaries are available on a weekly, monthly, or yearly basis. --- Dataset Highlights - Location-Specific Reviews – Reviews and ratings for the locations you provide. - Daily Updates – New reviews and rating changes updated automatically. - Historical Data Access – Retrieve past reviews where available. - AI Sentiment Analysis (Optional) – Summarized insights by week, month, or year. - Competitive Benchmarking – Compare performance across selected locations. --- Use Cases - Franchise & Retail Chains – Monitor brand reputation and performance across locations. - Hospitality & Restaurants – Track guest sentiment and service trends. - Healthcare & Medical Facilities – Understand patient feedback for specific locations. - Real Estate & Property Management – Analyze tenant and customer experiences through reviews. - Market Research & Consumer Insights – Identify trends and analyze feedback patterns across industries. --- Data Updates & Delivery - Update Frequency: Daily - Data Format: CSV for easy integration - Delivery: Secure file transfer (SFTP or cloud storage) Data Fields Include: - Business Name - Location Details - Star Ratings - Review Text - Timestamps - Reviewer Metadata Optional Add-Ons: - AI Sentiment Analysis – Aggregate trends by week, month, or year. - Custom Location Tracking – Tailor the dataset to fit your specific business needs. --- Ideal for - Marketing Teams – Leverage real-world consumer feedback to optimize brand strategy. - Business Analysts – Use structured review data to track customer sentiment over time. - Operations & Customer Experience Teams – Identify service issues and opportunities for improvement. - Competitive Intelligence – Compare locations and benchmark against industry competitors. --- Why Choose This Dataset? - Accurate & Up-to-Date – Daily updates ensure fresh, reliable data. - Scalable & Customizable – Track only the locations that matter to you. - Actionable Insights – AI-driven summaries for quick decision-making. - Easy Integration – Delivered in a structured format for seamless analysis. By leveraging Google Reviews & Ratings Data, businesses can gain valuable insights into customer sentiment, enhance reputation management, and stay ahead of the competition.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (52)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Kosovo
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

5 years of historical data

Volume

10,000 reviews daily

Pricing

Dataplex has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Clean attributes

Delivery

Methods
S3 Bucket
Frequency
daily
Format
.json
.csv

Use Cases

Competitor Insights
Know Your Customer (KYC)
Customer Data Integration
Customer Insights
Customer Data Insights

Categories

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Frequently asked questions

What is Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights?

Gain valuable customer feedback for specific locations with daily updated Google Reviews & Ratings data. Perfect for businesses looking to analyze sentiment, track performance, and benchmark against competitors.

What is Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights used for?

This product has 5 key use cases. Dataplex recommends using the data for Competitor Insights, Know Your Customer (KYC), Customer Data Integration, Customer Insights, and Customer Data Insights. Global businesses and organizations buy Consumer Review Data from Dataplex to fuel their analytics and enrichment.

Who can use Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Review Data. Get in touch with Dataplex to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights go?

This product has 5 years of historical coverage. It can be delivered on a daily basis.

Which countries does Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights cover?

This product includes data covering 250 countries like USA, China, Japan, Germany, and India. Dataplex is headquartered in United States of America.

How much does Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights cost?

Pricing information for Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights is available by getting in contact with Dataplex. Connect with Dataplex to get a quote and arrange custom pricing models based on your data requirements.

How can I get Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights?

Businesses can buy Consumer Review Data from Dataplex and get the data via S3 Bucket. Depending on your data requirements and subscription budget, Dataplex can deliver this product in .json and .csv format.

What is the data quality of Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights?

Dataplex has reported that this product has the following quality and accuracy assurances: 100% Clean attributes. You can compare and assess the data quality of Dataplex using Datarade’s data marketplace.

What are similar products to Dataplex: Google Reviews & Ratings Dataset Track Consumer Sentiment & Location-Based Insights?

This product has 3 related products. These alternatives include The Data Appeal Travel Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019, Autoscraping Google Places Review Data 10M+ Reviews with Ratings & Comments Global Coverage, and InfoTrie Consumer Review & Product Data - 100M+ records, ratings & sentiment worldwide. You can compare the best Consumer Review Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

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