Olery - Oceania Tourist Attraction Data | Hospitality, Travel & Tourism Data | Destination API | Sentiment Analysis | Consumer Review Data
# | country |
region |
city |
topic |
ratings/review_count |
ratings/min |
ratings/max |
ratings/value |
sentiment/overall/review_count |
sentiment/overall/opinions_count |
sentiment/overall/sentiment_score |
sentiment/overall/positive_opinions |
sentiment/overall/negative_opinions |
sentiment/service/review_count |
sentiment/service/opinions_count |
sentiment/service/sentiment_score |
sentiment/service/positive_opinions |
sentiment/service/negative_opinions |
sentiment/cleanliness/review_count |
sentiment/cleanliness/opinions_count |
sentiment/cleanliness/sentiment_score |
sentiment/cleanliness/positive_opinions |
sentiment/cleanliness/negative_opinions |
sentiment/facilities/review_count |
sentiment/facilities/opinions_count |
sentiment/facilities/sentiment_score |
sentiment/facilities/positive_opinions |
sentiment/facilities/negative_opinions |
sentiment/location/review_count |
sentiment/location/opinions_count |
sentiment/location/sentiment_score |
sentiment/location/positive_opinions |
sentiment/location/negative_opinions |
sentiment/value/review_count |
sentiment/value/opinions_count |
sentiment/value/sentiment_score |
sentiment/value/positive_opinions |
sentiment/value/negative_opinions |
sentiment/fnb/review_count |
sentiment/fnb/opinions_count |
sentiment/fnb/sentiment_score |
sentiment/fnb/positive_opinions |
sentiment/fnb/negative_opinions |
sentiment/ambience/review_count |
sentiment/ambience/opinions_count |
sentiment/ambience/sentiment_score |
sentiment/ambience/positive_opinions |
sentiment/ambience/negative_opinions |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx |
2 | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx |
4 | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx |
5 | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
6 | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx |
7 | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx |
8 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx |
9 | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx |
10 | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx |
... | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
country
|
String | United States | |
region
|
String | New%20York%20(NY) | |
city
|
String | New York City | |
topic
|
String | overall | |
ratings/review_count
|
Integer | 118832 | |
ratings/min
|
Integer | 0 | |
ratings/max
|
Integer | 100 | |
ratings/value
|
Float | 87.77463982765585 | |
sentiment/overall/review_count
|
Integer | 52000 | |
sentiment/overall/opinions_count
|
Integer | 238461 | |
sentiment/overall/sentiment_score
|
Float | 8.804032371871568 | |
sentiment/overall/positive_opinions
|
Integer | 162981 | |
sentiment/overall/negative_opinions
|
Integer | 38984 | |
sentiment/service/review_count
|
|||
sentiment/service/opinions_count
|
|||
sentiment/service/sentiment_score
|
|||
sentiment/service/positive_opinions
|
|||
sentiment/service/negative_opinions
|
|||
sentiment/cleanliness/review_count
|
|||
sentiment/cleanliness/opinions_count
|
|||
sentiment/cleanliness/sentiment_score
|
|||
sentiment/cleanliness/positive_opinions
|
|||
sentiment/cleanliness/negative_opinions
|
|||
sentiment/facilities/review_count
|
|||
sentiment/facilities/opinions_count
|
|||
sentiment/facilities/sentiment_score
|
|||
sentiment/facilities/positive_opinions
|
|||
sentiment/facilities/negative_opinions
|
|||
sentiment/location/review_count
|
|||
sentiment/location/opinions_count
|
|||
sentiment/location/sentiment_score
|
|||
sentiment/location/positive_opinions
|
|||
sentiment/location/negative_opinions
|
|||
sentiment/value/review_count
|
|||
sentiment/value/opinions_count
|
|||
sentiment/value/sentiment_score
|
|||
sentiment/value/positive_opinions
|
|||
sentiment/value/negative_opinions
|
|||
sentiment/fnb/review_count
|
|||
sentiment/fnb/opinions_count
|
|||
sentiment/fnb/sentiment_score
|
|||
sentiment/fnb/positive_opinions
|
|||
sentiment/fnb/negative_opinions
|
|||
sentiment/ambience/review_count
|
|||
sentiment/ambience/opinions_count
|
|||
sentiment/ambience/sentiment_score
|
|||
sentiment/ambience/positive_opinions
|
|||
sentiment/ambience/negative_opinions
|
Description
Geography
History
Volume
2 | Billion + Reviews |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License |
€5,000 / month |
Yearly License | Not available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data?
Consumer Review Data on Attractions, Restaurants and Accommodations worldwide. Data Points - Numerical Ratings, Sentiment Ratings, Traveller Experience Score (TES), Travel Composition, Reviewer Origin (Nationality), Language, Group, Region, Country, City, Accommodation, Restaurants, Attractions,
What is Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data used for?
This product has 5 key use cases. Olery recommends using the data for Marketing, Competitor Insights, Trend Analysis, Know Your Customer (KYC), and Review Monitoring. Global businesses and organizations buy Consumer Review Data from Olery to fuel their analytics and enrichment.
Who can use Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data?
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 Olery to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data go?
This Data API has 10 years of historical coverage. It can be delivered on a monthly basis.
Which countries does Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data cover?
This product includes data covering 25 countries like Australia, New Zealand, Papua New Guinea, Guam, and Fiji. Olery is headquartered in Netherlands.
How much does Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data cost?
Pricing for Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data starts at EUR5,000 per month. Connect with Olery to get a quote and arrange custom pricing models based on your data requirements.
How can I get Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data?
Businesses can buy Consumer Review Data from Olery and get the data via REST API. Depending on your data requirements and subscription budget, Olery can deliver this product in .json format.
What is the data quality of Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data?
You can compare and assess the data quality of Olery using Datarade’s data marketplace.
What are similar products to Olery - Oceania Tourist Attraction Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis Consumer Review Data?
This Data API has 3 related products. These alternatives include Olery - Worldwide Consumer Review Data Hospitality, Travel & Tourism Data Destination API Sentiment Analysis, The Data Appeal Hospitality, Travel and Tourism Data API, Dataset 200 Million+ POI Data Mapped Coverage from 2019, and Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets. 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.