Product Review Datasets for User Sentiment Analysis
# | _meta.creationDate |
_meta.creationtimestamp |
_meta.deleted |
_meta.entity |
_meta.origin |
_meta.lastupdatedate |
_meta.lastupdatetimestamp |
_meta.versionid |
doc.company_id |
doc.company_source_id |
doc.company_url |
doc.date |
doc.id |
doc.overall |
doc.review_body |
doc.source_id |
doc.title |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx |
2 | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx |
3 | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx |
4 | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx |
5 | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx |
6 | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx |
7 | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx |
8 | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx |
9 | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx |
10 | 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 |
# | _meta.creationDate |
_meta.creationtimestamp |
_meta.entity |
_meta.origin |
_meta.lastupdatedate |
_meta.lastupdatetimestamp |
_meta.versionid |
doc.automated_invitations_reviews_over_time |
doc.category |
doc.id |
doc.image |
doc.location |
doc.manual_invitations_reviews_over_time |
doc.name |
doc.organic_reviews_over_time |
doc.redirected_reviews_over_time |
doc.source_id |
doc.url |
doc.website |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx |
2 | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx |
3 | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx |
4 | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx |
5 | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx |
6 | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
7 | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx |
8 | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx |
9 | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx |
10 | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx |
... | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
_meta.creationDate
|
String | [2023, 7, 8] | |
_meta.creationtimestamp
|
Float | 1688775775.669557 | |
_meta.deleted
|
Boolean | FALSE | |
_meta.entity
|
String | review | |
_meta.origin
|
String | trustpilot | |
_meta.lastupdatedate
|
String | [2023, 7, 8] | |
_meta.lastupdatetimestamp
|
Float | 1688775775.669557 | |
_meta.versionid
|
String | b798a0e3 | |
doc.company_id
|
String | trustpilot_company_orbitremit.com | |
doc.company_source_id
|
String | orbitremit.com | |
doc.company_url
|
String | https://www.trustpilot.com/review/orbitremit.com | |
doc.date
|
DateTime | 2018-09-28T11:59:33+00:00 | |
doc.id
|
String | trustpilot_review_5bae17a58c83fd06e0c5807d | |
doc.overall
|
Integer | 1 | |
doc.review_body
|
String | Really helpless.nMarket rate good but zero customer service. | |
doc.source_id
|
String | 5bae17a58c83fd06e0c5807d | |
doc.title
|
String | Really helpless. |
Attribute | Type | Example | Mapping |
---|---|---|---|
_meta.creationDate
|
String | [2021, 9, 24] | |
_meta.creationtimestamp
|
Float | 1632477236.801398 | |
_meta.entity
|
String | company | |
_meta.origin
|
String | trustpilot | |
_meta.lastupdatedate
|
String | [2023, 8, 2] | |
_meta.lastupdatetimestamp
|
Float | 1690975369.412903 | |
_meta.versionid
|
String | e4a58f70 | |
doc.automated_invitations_reviews_over_time
|
String | [] | |
doc.category
|
String | [] | |
doc.id
|
String | trustpilot_company_www.dealsgoodies.com | |
doc.image
|
String | https://consumersiteimages.trustpilot.net/business-units/... | |
doc.location
|
String | US | |
doc.manual_invitations_reviews_over_time
|
String | [] | |
doc.name
|
String | Dealsgoodies | |
doc.organic_reviews_over_time
|
String | [] | |
doc.redirected_reviews_over_time
|
String | [] | |
doc.source_id
|
String | www.dealsgoodies.com | |
doc.url
|
String | https://www.trustpilot.com/review/www.dealsgoodies.com | |
doc.website
|
String | http://www.dealsgoodies.com |
Attribute | Type | Example | Mapping |
---|---|---|---|
Product name
|
|||
Product category
|
|||
Number of ratings
|
|||
Ratings average
|
|||
Review title
|
|||
Review body
|
Description
Country Coverage
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Product Review Datasets for User Sentiment Analysis?
Discover user sentiment with Product Review Datasets: improve your brand and product feature analysis; evaluate your business stance against the competition; assess the potential risks of your investments.
What is Product Review Datasets for User Sentiment Analysis used for?
This product has 5 key use cases. Oxylabs recommends using the data for Competitor Analysis, Product Research, Competitive Intelligence, Product Feature Analysis, and User Sentiment. Global businesses and organizations buy Consumer Review Data from Oxylabs to fuel their analytics and enrichment.
Who can use Product Review Datasets for User Sentiment Analysis?
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 Oxylabs to see what their data can do for your business and find out which integrations they provide.
Which countries does Product Review Datasets for User Sentiment Analysis cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Oxylabs is headquartered in Lithuania.
How much does Product Review Datasets for User Sentiment Analysis cost?
Pricing information for Product Review Datasets for User Sentiment Analysis is available by getting in contact with Oxylabs. Connect with Oxylabs to get a quote and arrange custom pricing models based on your data requirements.
How can I get Product Review Datasets for User Sentiment Analysis?
Businesses can buy Consumer Review Data from Oxylabs and get the data via S3 Bucket, SFTP, Email, and REST API. Depending on your data requirements and subscription budget, Oxylabs can deliver this product in .json, .xml, .csv, and .xls format.
What is the data quality of Product Review Datasets for User Sentiment Analysis?
You can compare and assess the data quality of Oxylabs using Datarade’s data marketplace. Oxylabs appears on selected Datarade top lists ranking the best data providers, including Best 6 SERP Tracking APIs for Accurate Monitoring, Top 10 Hotel APIs: Real-Time Travel Insights, and Best 8 APIs for SEO Optimization.
What are similar products to Product Review Datasets for User Sentiment Analysis?
This product has 3 related products. These alternatives include Coresignal Consumer Review Data Tech Product Review Data Trustpilot + 3 Other Sources Global / 182M+ Records / Updated Monthly, OpenWeb Ninja Product Data, Product Reviews Data + More from Google Shopping Ecommerce Data 35B+ Products Global Aggregate Real-Time API, and TagX Ecommerce Reviews data Customer sentiment Analysis Customer feedback data Ecommerce data. 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.