Online Review Datasets: Access Structured Data of Customer Feedback

Find out exactly what customers are saying about your products, understand their sentiment and gain insights into your business with online review datasets crawled from over 75 million sites, available in JSON and XML formats

Drill Down into Customer Sentiment with Thousands
of Review Datasets in One Place

Slice and dice data according to actual reviews as they were submitted. Identify your product’s true value with feeds including source, comments and the ratings provided.
Advanced features include:

Structured & Normalized Rating

Access high-quality structured datasets in their natural language text, including their respective numerical sentiment classification (1-5 star rating).

Textual Product Reviews

Get detailed textual product reviews including positive/negative sentiment as well as specific details of how, what and why a rating was submitted.

Direct Access to Reviews

Find out exactly where, what and when reviews were posted, with access to the ratings in their entirety.

All in One Reviews

Find the actual data you’re looking for with all-in-one access to reviews from various sources on millions of products.

1 M
Posts Indexed Daily
1 M
Websites
1
Languages
1
Countries
1 TB
Historical Data

How Companies Use Webhose Online Reviews Datasets

Product Management

Identify attributes, characteristics and missing elements to help improve your own products by relying on the reviews from thousands of users across the web and shape the future of your products.

AI & Machine Learning

Create artificial intelligence models and train your machines by learning from thousands of online reviews across the web. Leverage the structured reviews datasets to create smarter automated models. Learn more

Financial Analysis

Eliminate blind spots and improve your pricing structures using Webhose e-Commerce data feeds. Conduct historical financial analyses of the trends that shape your market. Learn more

Crisis Management

Prevent crises before they happen by tracking and monitoring your customers’ sentiments on, online reviews sites. Gain insight into how your products are performing and nip any threats in the bud before they escalate.

Brand Monitoring

Save developer time by accessing extensive coverage of consumer reviews in one place. Gain a competitive edge by tracking consumer reviews across the web. Learn more

How Webhose’s Online Reviews Data Feed Works

Our crawlers scan hundreds of thousands of sources daily. The Webhose API, available in JSON and XML comprises of review data feeds including sentiments, texts as they appear, respective numerical ratings and more.

RESTful API text

Learn about our standard developer tools for customized and filtered web data feeds

Tap into the Enterprise Firehose

Access raw data in bulk with unfiltered web data feeds​

See How Webhose Extracts and Structures Online Reviews Data Content

See below filtered output results in JSON format from the following query:

Query:

rating:>=4 site_full:play.google.com

{
  "item": {
    "uuid": "b86d01af15ede89fe04a9574c61cdb67364a2327",
    "url": "https://play.google.com/store/apps/details?id=com.smule.singandroid",
    "site_full": "play.google.com",
    "site": "google.com",
    "site_section": "https://play.google.com/store/apps/category/MUSIC_AND_AUDIO",
    "site_categories": [],
    "section_title": "Music & Audio - Android Apps on Google Play",
    "title": "Smule Sing!",
    "title_full": "Smule Sing! - Android Apps on Google Play",
    "published": "2017-06-15T03:00:00.000+03:00",
    "reviews_count": 39,
    "reviewers_count": 35,
    "country": "US",
    "spam_score": 0.0,
    "main_image": "",
    "domain_rank": null
  },
  "uuid": "5cab42fb84f5756c000856b2714e641add1ab1c3",
  "url": "https://play.google.com/store/apps/details?id=com.smule.singandroid&reviewId=Z3A6QU9xcFRPSHZfbVFSSkZaZG1BbUkyWnQxcDhEMkVxYXpCWmpJcEFKU1NEUjY0U3ExV3h2d2Y3dXNnS2VKQVVJd1A0WFN0M3lyR3BReWE5MEwtbks1bXc",
  "ord_in_thread": 39,
  "author": "tabitha ganda",
  "published": "2017-06-23T03:00:00.000+03:00",
  "title": "",
  "text": "nice! great for past time, when i'm in mood for singing.. love it when someone joined me for singing, or when I joined their invites, as if we know each other, we really know well the song.. hahaha!",
  "highlightText": "",
  "highlightTitle": "", 
  "language": "english",  
  "external_links": [],     
  "rating": 5.0,              
  "crawled": "2017-06-23T14:40:01.020+03:00"
}

For more information, check out our Developer Hub which contains helpful DocumentationVideo TutorialsUse Cases and more

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