What is Web Data? Uses, Types & Dataset Examples

Web Data Explained

Use Cases

E-commerce Price Monitoring

One of the main use cases of web data is e-commerce price monitoring. With the vast amount of products and prices available online, businesses can leverage web data to track and monitor the prices of their competitors’ products. By collecting data from various e-commerce websites, businesses can gain insights into market trends, identify pricing strategies, and adjust their own pricing accordingly. This use case helps businesses stay competitive and make informed pricing decisions.

Sentiment Analysis and Brand Monitoring

Web data is also widely used for sentiment analysis and brand monitoring. By analyzing data from social media platforms, review websites, and online forums, businesses can gain valuable insights into customer opinions, feedback, and sentiments towards their brand or products. This use case allows businesses to understand customer preferences, identify areas for improvement, and manage their brand reputation effectively.

Market Research and Trend Analysis

Web data is a valuable resource for market research and trend analysis. By collecting data from various sources such as news websites, blogs, and industry forums, businesses can gather information about market trends, consumer behavior, and emerging technologies. This use case helps businesses make data-driven decisions, identify new market opportunities, and stay ahead of their competitors.

These are just a few examples of the main use cases of web data. The versatility and abundance of web data make it a valuable asset for businesses across various industries.

Main Attributes of Web Data

Web data refers to the vast amount of information available on the internet, encompassing various attributes that can be associated with it. Some possible attributes of web data include the source or website from which the data originates, the date and time of data retrieval, the format in which the data is presented (such as HTML, XML, JSON), the structure of the data (such as tables, lists, or graphs), the content or topic of the data (ranging from news articles and social media posts to scientific research papers and e-commerce product listings), and the metadata associated with the data (such as author, title, keywords, and tags). Additionally, web data can have attributes related to its accessibility, quality, reliability, and licensing. Here’s a table of the main attributes you might find on Web Datasets:

How are Web Data products priced?

Web datasets are typically priced based on various factors such as the size and complexity of the dataset, the level of data cleaning and preprocessing required, and the intended use of the data. Pricing models can vary, but commonly, datasets are priced based on a subscription or licensing model. Subscriptions may offer access to a specific dataset or a collection of datasets for a fixed period, often with tiered pricing based on the level of access or features provided. Licensing models may involve a one-time fee or a recurring payment based on the usage or distribution of the dataset. Additionally, some datasets may be offered for free or at a lower cost for non-commercial or academic use, while commercial use may incur higher fees. Overall, the pricing of web datasets aims to strike a balance between the value and utility of the data and the costs associated with its collection, maintenance, and distribution.

How is Web Data collected?

Web data is collected through first and third-party sources which is then combined together by web providers to create accurate web datasets and online consumer profiles.

What is Web Data used for?

Typically, web datasets are used by marketers and online advertisers to tailor their adveritising campaigns to their audience personal preferences. Web data is also sometimes used by researchers in order to conduct market research , such as in order to assess the health of an app or website. By using web data they can see the number of visitors to the website and evaluate its performance in comparison to other similar sites.

How can a user assess the quality of Web Data?

The highest quality web datasets will be regularly updated with real-time analytics and website or app visitor information. They will also provide accruate key details about users and their online habits and preferences so that companies can efficiently use this information in their marketing campaigns.

Always make sure to read the data provider’s reviews before you and and ask for a data sample in advance of purchase to ensure that the web data provided matches your personal needs.