What is Web Data? Uses, Types & Dataset Examples
What is Web Data?
Web data is an incredibly broad term. It encompasses a wide range of information which is collected from websites and apps about different users’ browsing habits, online behaviors and preferences. It can also include information about the consumer themselves, such as their details, search and purchase intent or online interests. Examples of web data include online product reviews, social media posts, website traffic statistics, and search engine results.
Best Web Data Databases & Datasets
Here is Datarade's curated selection of top Web Data. These trusted databases and datasets offer high-quality, up-to-date information.
Factori Web Data | Global web browsing & activity data feed (4.2 Billion records)
CrawlBee | Web Scraping Data | Web Data Extraction | Web Data | Web Activity Data
Best Web Scraping Data Tool in 2024, Web scraping Data, Web Scraping Data Extraction , Web Scraping Data API, AI Web Scraping Data, Web Scraping
Webautomation | Amazon Data | Web Scraping Data | Amazon Web Extraction | GDPR compliant
Traffic Continuum from Solution Publishing |500M+ US Web Traffic Data Resolution | B2B B2C Website Visitor Identity Resolution | Web Traffic Data
TagX | Web Scraping Services| Extract & Analyze Data | Scrape Ecommerce websites
Bright Data | Proxy Services | Web Unlocker Avoid Getting Blocked
PromptCloud Web Scraping Data - Custom Web Scraping & Data Extraction Solutions, Globally | Scrape Web Data | Sample Datasets Available | PromptCloud
Grepsr | On-Demand Web Data Extraction Service
Web Scraping & Custom Data pipeline and insights with web data sources globally
Top Web Data Providers & Companies
When sourcing web data providers, consider factors like data quality, reliability, scalability, pricing, data delivery methods, API availability, customization options, data privacy, and compliance with legal regulations.
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FactoriBased in USA
Factori is a flexible and adaptable data provider. We help you make smarter decisions and build better solutions based on real world location data. -
TagXBased in India
TagX is a Data aggregator working with a wide range of industries. We also help companies in annotating and curate their existing datasets. Contact us today... -
Datastream GroupBased in USA
Our Dedicated team is ready to create an innovative data solution that is tuned to your business needs.
Popular Use Cases
Web Data plays a pivotal role in various business applications, offering valuable insights and opportunities across industries.
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:
| Attribute | Description |
|---|---|
| Volume | Web data is vast and continuously growing, consisting of billions of web pages, documents, images, videos, and other digital content. |
| Variety | Web data comes in various formats such as HTML, XML, JSON, CSV, and more. It includes structured data (e.g., tables), semi-structured data (e.g., web pages), and unstructured data (e.g., text, multimedia). |
| Velocity | Web data is generated and updated at a high speed, with new content being added, modified, or deleted frequently. Real-time data streams, social media feeds, and news articles are examples of rapidly changing web data. |
| Veracity | Web data quality can vary significantly, ranging from accurate and reliable information to misleading or false content. Verifying the authenticity and credibility of web data is crucial. |
| Variety of Sources | Web data is sourced from diverse platforms, including websites, social media platforms, online databases, APIs, IoT devices, and more. It encompasses both publicly accessible data and private data behind login walls. |
| Accessibility | Web data is accessible globally through the internet, allowing users to retrieve, search, and analyze information from anywhere at any time. |
| Interconnectedness | Web data is interconnected through hyperlinks, enabling navigation between web pages and creating a vast network of interlinked information. |
| Contextual Information | Web data often contains contextual information such as metadata, tags, timestamps, geolocation, and user-generated content, providing additional context and enhancing the understanding of the data. |
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.
Frequently Asked Questions
What is Web Data?
Web data is an incredibly broad term. It encompasses a wide range of information which is collected from websites and apps about different users’ browsing habits, online behaviors and preferences. It can also include information about the consumer themselves, such as their details, search and purchase intent or online interests.
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.