
Dataplex: Google Reviews & Ratings Dataset | Track Consumer Sentiment & Location-Based Insights
# | REVIEW_YEAR |
REVIEW_COUNT |
AVERAGE_RATING |
MIN_RATING |
MAX_RATING |
REVIEW_SUMMARY |
---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx |
2 | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx |
4 | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
5 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx |
6 | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
7 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
8 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
9 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx |
10 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
... | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx |
# | AUTHOR,RATING,REVIEW_HASH,REVIEW_TEXT,REVIEW_DATE_ESTIMATED |
---|---|
1 | xxxxxxxxxx |
2 | Xxxxxxxxx |
3 | xxxxxx |
4 | xxxxxxxxxx |
5 | Xxxxx |
6 | Xxxxxx |
7 | Xxxxxxxxxx |
8 | Xxxxxx |
9 | Xxxxxxxxx |
10 | Xxxxxxxxxx |
... | xxxxxxxxx |
# | OVERALL_DATE |
NAME |
OVERALL_RATING |
TOTAL_REVIEWS |
---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx |
2 | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx |
3 | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx |
4 | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx |
5 | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx |
6 | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx |
7 | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx |
8 | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx |
9 | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx |
10 | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx |
... | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx |
Data Dictionary
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... |
Attribute | Type | Example | Mapping |
---|---|---|---|
AUTHOR,RATING,REVIEW_HASH,REVIEW_TEXT,REVIEW_DATE_ESTIMATED
|
String | Jake Adkins,5,211cc08dc44a22f59112692877aa1530,How can yo... |
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
Country Coverage
History
Volume
10,000 | reviews daily |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
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.