What is Web Data? Examples, Datasets, and Providers
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
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.
What Are Examples of Web Data?
Examples of web data include datasets that capture a wide range of online activities and content. Key examples include:
- Website Content: Text, images, and videos from web pages.
- Traffic Data: Visitor counts, page views, and bounce rates.
- User Behavior Data: Click paths, dwell time, and conversion rates.
- SEO Data: Keywords, backlinks, and search rankings.
- E-commerce Data: Product listings, pricing, and reviews.
Editor's Pick
Best Web Databases & Datasets
The best web datasets provide insights into website content, user behavior, and online trends. This curated list features the top web datasets, selected for quality, accuracy, and trusted sources.
Web Scraping Data | Web Data Extraction | Web Data | Web Activity Data
Factori Web Data | Global web browsing & activity data feed (4.2 Billion records)
TagX Web Scraping Data | Web data extraction | Scrape Ecommerce websites | Data from all popular domains | Global web data | 100% compliant
Global Web Data | Web Scraping Data | Job Postings Data | Source: Company Website | 214M+ Records
Grepsr | On-Demand Web Data Extraction Service
Web Traffic Data | 500M+ US Web Traffic Data Resolution | B2B and B2C Website Visitor Identity Resolution
Job Postings Data / Global / Monster, Indeed, Glassdoor + 10 Job Boards / Updated Monthly/web data
Coresignal | Web Data | Company Data | Global / 71M+ Records / Largest Professional Network / Updated Daily
Dataset of EU-Level Politically Exposed Persons | Global Sanctions Data | API | Web | Dataset | Updated Daily
Best Web Scraping Data Tool in 2024, Web scraping Data, Web Scraping Data Extraction , Web Scraping Data API, AI Web Scraping Data, Web Scraping
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Top Web Data Providers & Companies
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SemanticForce
SemanticForce end-to-end media intelligence platform gives you visibility and insights on your data, everywhere. From online news to forums, from influencers to domains, from ads to pricing our unique deep listening ecosystem provides a new level of intelligence and protection. -
New on DataradeDappier
CoverageUSAUK+248VAs the operator of HeyPAT, a leading AI agent for WhatsApp, Telegram and SMS, we couldn’t be more impressed with Dappier’s web search data model. It’s been a game-changer for our tool, enabling our end users to retrieve accurate, real-time data from the web. Since implementing Dappier, our AI agent has been able to keep pace with breaking stories and trending topics, ensuring our community of thousands stays informed and engaged. The precision of Dappier’s model has brought a new level of usability to HeyPAT, as our users know they can count on us for timely, up-to-the-minute info. If you’re looking to elevate your AI’s responsiveness and relevance, Dappier’s web search data model is a powerful solution.
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Serpstat
VWe utilized Serpstat to collect keyword data for our specific region (the US). We required insights into query volumes to fine-tune our search engine optimization and conduct market research. Serpstat delivered a solution that perfectly aligned with our needs and preferences. The data is top-notch, and the platform operates seamlessly. The pricing is fair, reflecting the level and quality of the data
Popular Use Cases for Web Data
Web data is essential for gaining insights and improving strategies across various domains. Common use cases include market research, e-commerce analysis, and SEO optimization, to name just a few.
Main Attributes of Web Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a city. | View 59 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 59 datasets | |
| String | The last name (surname) of a contact. | View 52 datasets | |
| String | The first name of a contact. | View 51 datasets | |
| String | The approx. number of employees working for a company. | View 43 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 41 datasets |
Web Data Use Cases in Detail
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.
How is Web Data Collected?
Web data is collected using automated tools such as web crawlers and scrapers that scan websites, e-commerce platforms, forums, and other online sources. These tools dynamically extract publicly available data, including user activity, web browsing patterns, product information, and much more. The data is captured in real-time or at predefined intervals, ensuring it remains relevant and up-to-date. For your data needs, we suggest specifying the frequency and sources during setup for the most precise insights.
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
Is Web Data Collection Compliant with Regulations?
Yes, the collection of web data adheres strictly to legal and ethical guidelines, such as scraping only publicly available data. Data providers on Datarade also comply with regional regulations like GDPR to ensure user privacy and data security. We suggest verifying that your use of web data aligns with local laws to avoid compliance issues.
How is Web Data Verified?
Web data is verified through multiple layers of quality checks, including automated validation tools and manual reviews. Providers on Datarade often clean and structure the data to eliminate duplicates, inconsistencies, and errors, ensuring it is ready for analysis. For best results, ask your provider about their data validation process.
Is Web Data Secure?
Yes, web data is securely stored and transmitted using encrypted methods such as SFTP, APIs, and cloud-based storage solutions. Providers also implement rigorous access controls to safeguard data against unauthorized use. We recommend choosing a provider with robust security protocols to protect your data assets.
How Does Web Data Ensure User Privacy?
Web data collection strictly adheres to privacy guidelines, focusing only on anonymized and publicly available information. User identities are protected through measures like pseudonymization and exclusion of personal identifiers. To maintain trust, ensure that the data you use complies with global privacy standards like GDPR or CCPA.
How is Web Data Delivered?
Web data is delivered in multiple formats such as CSV, JSON, XML, or directly via APIs. Delivery methods include cloud storage, secure FTP, or real-time streaming, depending on your preference. Flexible options allow seamless integration into your systems. We suggest specifying your preferred format and delivery frequency when setting up your subscription.
How Frequently is Web Data Updated?
Web data updates can occur as frequently as every second, or on-demand, depending on your needs. Options include hourly, daily, weekly, and monthly updates. Choose a frequency that aligns with your business goals, such as daily updates for market intelligence or real-time data for fraud detection.
Are Free Samples Available for Web Data?
Yes, many providers offer free samples to demonstrate the quality and relevance of their web data. Sampling allows you to test the dataset and confirm its alignment with your objectives. We recommend utilizing free samples before making a long-term commitment.
