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Difference Between Data Mining vs Web Mining

Data Mining: It is a concept of identifying a significant pattern from the data that gives a better outcome. Identifying patterns from where? From the data that are generated from the systems.

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Web Mining: Web mining is performing Data mining on the web, extracting the web documents, and discovering the patterns from them.

Example: Techniques applied for predictive analysis. (Weather forecast based on identifying the patterns from the history data)

Lets us understand the significant Difference Between Data mining and Web mining in detail in this post.


The process of gold mining produces gold, which is extracted and refined from ore. The outcome of gold mining is the precious metal. We apply a data mining technique to remove key information (valuable data) from a raw source. Here the pattern discovered from the raw data source is considered precious for the data analyst/data scientists to proceed with the decision-making that influences the business value.

Data Mining

In plain terms, data mining is a concept of mining knowledge from different data sets. We further use the extracted knowledge to provide forecasts or recommendations. The data to be mined are available in the data warehouse or other external systems. Data could be available on different tables with different behaviors or attributes. We must determine the correlation between multiple data sets to identify the pattern.

Steps in Data Mining:

As data mining is an abstract, here are the steps involved:

Data preparation

Pattern discovery

Build models to forecast/recommend(to mention a few cases)

Summarizing the model value

Web Mining

Web mining is abstract as there are three different types of techniques of mining.

Web content mining

Web structure mining

Web usage mining

1. Web Content Mining

Extracting data from web pages enables discovery of patterns that provide valuable insights. Many data extraction techniques are available, including web scraping, which involves using tools like Scrapy and Octoparse for web content mining.

That’s where web content mining comes into the picture.

2. Web Structure Mining

We gather and prepare data from hyperlinks that lead to different pages to discover a pattern. To view a person’s public profile from a blog or any other webpage, there are chances that they would embed their social media links. We extract data from a single source and its nested pages by following the hyperlinks associated with each page. There are various algorithms to perform this. (Example: PageRank algorithm)

3. Web Usage Mining

Hosting a web application generates numerous web server logs that record the user’s web activity for the application. These logs are considered raw data. In return, meaningful data are extracted, and patterns are identified. For example, if an e-commerce business wants to expand or enhance the customer experience, they monitor the user’s web activity through application logs and apply data mining techniques.

Web mining and data mining are more or less similar techniques, but web mining is all about analysis on the web. Data mining extends beyond the web and is not limited to web data. It’s a traditional process that takes place for any data analytics.

Head-to-Head Comparison Between Data Mining vs Web Mining (Infographics)

Below are the Top 7 Comparisons Between Data mining vs Web mining:

Key Differences Between Data Mining vs Web Mining

The following is the difference between Data mining vs Web mining are as follows:

Web mining and data mining are both nearly similar when it comes to identifying patterns. But where and what is the difference in web mining from data mining? What kind of data and data is extracted from where? These are the two ultimate aspects that differentiate between data and Web mining.

Data mining encompasses web mining, which focuses on identifying patterns in web-related data. Data mining is a vast concept that involves multiple steps, from preparing the data to validating the results that lead to the decision-making process for an organization.

Data Mining vs Web Mining Comparison Table

Below is the comparison table between Data Mining and Web Mining.

Basis for comparison Data Mining Web Mining

Concept Pattern identification from data available in any system. Pattern identification from web data.

Application/use cases Weather forecast using historical weather reports. HITS/PageRank techniques.

Who does this? Data scientists, Data engineers. Data engineers.

Process Same process but on the web using web documents.

Tools Machine learning algorithms. Scrappy, PageRank, Apache logs

How significant Many organizations are relying on data science results for decision-making. Web-related data pull would influence the existing data mining process.

Skills Data cleansing techniques, machine learning algorithms, statistics, probability. Data engineering, statistics, probability.


Data mining techniques enable the discovery of valuable knowledge and facilitate its application for better outcomes. Organizations keen on enhancing their businesses and making a high profit need many decisions based on the data mainly available in their systems generated in humongous volume. Not all data is deemed helpful in gaining knowledge and insights. Which, why, and what are the main questions data scientists/data analysts must consider when identifying patterns? In a very layman’s terms, data mining is like churning milk to make butter.

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Top 6 Data Mining Applications

Overview of Data Mining Applications

Data mining is how the patterns in large data sets are seen and discovered using intersecting techniques such as statistics, machine learning, and ones like databases systems. It involves extracting data from a group of raw and unidentified data sets to provide meaningful results through mining.

The extracted data is then used further by transforming it and ensuring that arranged to provide the best service possible per business requirements and needs. In this article, we will read about the various applications associated with data mining.

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List of Data Mining Applications

Here is the list of various Data Mining Applications, which given below –

1. Financial firms, banks, and their analysis

Many data mining techniques involve critical banking and financial data providing and keeping firms whose data is essential. One such method is distributed data mining, researched, modeled, crafted, and developed to help track suspicious activities or mischievous or fraudulent transactions related to credit cards, net banking, or any other banking service.

The analysis becomes quite simple after sampling and identifying a collection of customer data. Furthermore, tracking suspicious activities becomes a comparatively more straightforward process by keeping a tab of the parameters such as the period of transactions, geographical locations, mode of payments, customer activity history, etc. Based on these parameters, the customer’s relative measure seems derived, put to any form of usage based on the indices calculated.

2. Health care domain and insurance domain

The data mining-related applications can efficiently track and monitor a patient’s health condition and help in efficient diagnosis based on past sickness records. Similarly, the ability to convert data into knowledge or provide various details about customers, markets, and prospective competitors is vital to the development of the insurance industry. As a result, all companies that used data mining techniques effectively reaped benefits. It is used over the claims and their analysis, i.e., identifying the medical procedures claimed together. It allows for the forecasting of new policies, the detection of risky customer behavior patterns, and the detection of fraudulent behavior.

3. Application in the domain of transportation 4. Applications of data mining in the field of medicine

In medical analysis, a patient’s case is examined by tracking their clinic visits and vacation season. It also helps in the identification of patterns that have successful medical therapies for various kinds of illnesses. Researchers are collecting multi-dimensional data to provide extensive and improved care while reducing costs and enhancing the quality of services. Other approaches, such as soft computing, statistics, data visualization, and machine learning, efficiently gauge and predict patients’ data volume within a single category. The processes are to ensure that the patients receive appropriate attention whenever needed. It also helps healthcare and medicine-based insurers detect fake and fraudulent cases.

5. Education 6. Manufacturing Engineering Conclusion

We have studied a basic overview and a layout of various data mining applications in different domains. This limitless technique has the potential to extend beyond specific sectors and benefit every aspect of a business.

It is only about the correct techniques and some analysis to make your usual regular business different from competitors. Efficient data management is crucial for organizational growth, particularly in today’s society, where data plays a critical role.

Frequently Asked Questions(FAQs)

Q1. What are the most common applications of data mining?

Answer: Banks used data mining to understand market risks. Because of the increased number of channels, banks collect a massive amount of data (mobile banking, retail banking, ATM, internet banking, etc.). Relevant data is from the enormous amount of data available to assist banks in making better decisions. Besides that, data mining can help with customer segmentation and profitability, cash management, forecasting operations, optimizing stock portfolios, credit scores, and approval.

Q2. What does data mining give some applications?

The most important applications of data mining

Financial Analysis: Financial and user data serve in loan markets for a wide range of purposes, such as predicting loan payments and determining credit ratings, and data mining techniques help to make such tasks more manageable.

Retail Industry: Modern retail companies are designing and building data warehouses to reap the benefits of data mining fully. Multi-dimensional data analysis aids in dealing with data from various types of customers, products, regions, and time zones. Online retailers can also recommend products to increase sales revenue and track the success of their promotional campaigns.

Spatial Data Mining: Data mining using Geographic Information Systems (GIS) and other navigation applications to secure vital information and understand its implications.

Q3.What are the four main data mining techniques?

Answer: Clustering: Clustering is the identification of similar classes of objects. We can discover overall distribution patterns and correlations among data attributes by using clustering techniques to identify dense and sparse regions in object space.

Association: The association aims to find frequent item set findings in large data sets. This type of discovery assists businesses in making decisions such as catalog design, cross-marketing, and customer purchasing behavior analysis.

Classification: The most common data mining technique is classification, in which a set of pre-classified examples develops a model that classifies the entire population of records. This type of analysis is particularly well suited to fraud detection and credit risk applications.

Neural network: A neural network is a collection of connected input/output units, each with its weight. Neural networks have the remarkable ability to extract meaning from complex or imprecise data, and they use to extract patterns and detect trends that are too complex for humans or other computer techniques to notice.

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Gemtrx Adds New Tron Cloud Mining Features And Options

GEM-TRX Links:

Official website:

Look at what cloud mining is precisely, and the several options GemTRX has available to its users

GemTRX added a new cloud mining option called The Mining Cycle Model to celebrate their one million partners. Because of the enhanced capabilities, participants may now deposit TRX from their promotional account into the new model. The Mining Cycle features a unique strategy separated into several stages. Let’s look at what cloud mining is precisely, and the several options GemTRX has available to its users.

What Is Cloud Mining? What Is GemTRX?

GEM-TRX is a uniquely-built cloud mining service made to ease the process of users renting out suitable hash power to mine crypto by paying an appropriate fee. This service is built on the Tron network known for being a safe, efficient, and high-performance blockchain that is perfect for cloud mining. This affordable cloud mining service ensures that its users have a budget-friendly way to mine cryptocurrencies. So if you are interested in being a part of the cloud mining revolution, then GEM-TRX is an ideal platform for them. GemTRX pursues long-term strategic cooperative relationships with users through its future data analysis and rewards program. GemTRX is a cloud mining offering services on the Tron (TRX) network, providing a convenient and efficient TRX mining experience. GemTRX allows users to mine the Tron (TRX) cryptocurrency at a low cost with its cloud service without dealing with the technical knowledge of setting up your mining equipment, hosting it on your own, and paying the various fees associated with it.

GemTRX Cloud Mining Features and Options

There are two main ways to earn with GemTRX. The first way is to simply deposit TRX to your GemTRX account and make a certain percentage of the deposit every day. Users can withdraw their earnings every day after verifying their accounts one time. The second and more recent method introduced by GemTRX is the Mining Cycle, which is comparable to mining contracts. There are various mining cycles ranging from 7-days to ones over 60-days. After placing TRX into the mining cycle, on a continuous basis, users will earn a daily return of 1.3% to 5% on their initial deposit. There are no exceptions to this, as users will accrue interest seven days a week. These gains will accumulate up to the maximum amount of the deposit value. After the day is up, the entire sum, including the daily rate and principal, will be automatically restored to the promotion account. Users will be able to withdraw the amount in full.  

Check out the chart below for a breakdown of each mining cycle and its returns:

7 days 1.3% – min 100TRX 15 days 1.6% – min 100TRX 30 days 2.5% – min 100TRX 45 days 3.0% – min 100TRX 60 days 3.5% – min 100TRX 90 days 4.0% – min 100TRX 120 days 4.5% – min 100TRX 150 days 5.0% – min 100TRX Essentially, deposits in GemTRX are divided into two modes: Recharge to the basic account and receive income according to the coordinated universal time (UTC) (after 24:00) every day. Basic Account is used to mine in cloud mining. You’ll get 5%-10% daily profits and the withdrawal limit is 2.80%-6% based on your deposit amount. Recharge into the promotion account, you can receive income according to different cycles. You’ll earn a daily return of 1.3%-5% of your initial investment. The daily profits will accumulate up to the maximum amount of the investment value. Mining contracts also range from daily to 150-day contracts. This gives a lot of flexibility in investment for you. The best part is you don’t need to know anything about mining to invest in this great opportunity. The returns are fixed for any period of time for which you invest. After the cycle end, the entire sum including the daily rate and principal invested in the mining cycle will be automatically restored to the promotion account and this can be withdrawn in full. In addition to the various cloud mining options, GemTRX offers a rebate option comparable to an affiliate program. Check out the chart below for a breakdown of GemTRX’s invite rebates:  

Invite Rebate: Invite users to create an account via your referral link.

You invite level 1 users, and if they complete registration, you’ll get 30TRX. Level 1 user invites level 2 user and completes registration, and you’ll get 20TRX. Level 2 user invites level 3 user and completes registration, and you’ll get 10TRX.  

Deposit Rebate: Based on your down-line deposit amount per time.

Level 1 user deposit 1000TRX, you’ll get 120TRX(12%) Level 2 user deposit 1000TRX, you’ll get 20TRX(2%) Level 3 user deposit 1000TRX, you’ll get 10TRX(1%)  

Trading Rebate: Based on your down-line mining income per time.

Level 1 user mines 1000TRX and gets 50TRX, and you’ll get 5TRX(10%) Level 2 user mines 1000TRX and get 50TRX, and you’ll get 2.5TRX(5%) Level 3 user mines 1000TRX and gets 50TRX, you’ll get 1.5TRX(3%)

Bytebus Offers Easy Ways To Earn Passive Income With Cloud Mining

The act of mining cryptocurrencies using a remote data center’s shared computing power is known as “cloud mining.” Users can mine bitcoins using this method without buying expensive mining equipment or overcoming the difficulties of solo mining.

To begin with cloud mining, you have to open an account with a service provider, pay a charge, and you’re ready to go. The service provider will then mine the coins on your behalf using their equipment, and you will receive a share of the coins as determined by the hash rate you have ordered.

A highly reliable cloud mining platform in 2023

 When Bytebus was founded in 2023, it was one of the first businesses to provide cloud mining services, and it has since earned the trust of more than 360,000 people worldwide. Enrolling and joining Bytebus makes cloud mining participation straightforward and uncomplicated.

Because of its user-friendly web interface, customers may quickly sign up and verify their accounts with Bytebus. Additionally, you are qualified to receive a ten-dollar sign-up bonus as a new member.

Additionally, Bytebus has a referral program through which users can earn a 3% bonus for recommending the company to their friends and family.

For cloud mining, Bytebus now provides several plan options, including $10, $100, $1,600, and $6,000, among others. Each of these contracts has a unique length and offers a special rate of return on investment.

How to profit without investing?

Everyone is welcome to attend this program; no financial commitment is necessary. When you sign up for our free experience plan, you receive $10. With $10, you can sign up for the free project and receive $1 daily. You can withdraw money after your balance reaches $100.

Options for flexible investment

At the moment, Bytebus offers various cloud mining pricing options, such as the $10, $100, $1600, and $6000 plans, among others. Each gives a unique Return on Investment and has a particular contract period.

A $100 plan with a three-day contract period generates a return of $6.

A $480 investment plan with a 10-day contract period and a return of $102 is being offered.

A $6,000 investment plan with a fifty-day contract duration generates a $7,400 return. Daily rates might rise as high as 2.47 percent!

You may anticipate receiving a payment each day because prices are provided regularly. The level of returns remains constant regardless of how long an investment is held. After the time frame specified in the contract, you can either withdraw the money or keep investing. Bytebus fully guarantees the principle and interest of each investment they make.

How to use the referral system?

Even without investing, you can start making money. Copy your referral link and share it with others to earn incentives. Each Bytebus user gets a unique referral link that anyone may share. Any new user who signs up using your referral link counts as a referral for life. Even if you don’t invest, you can begin making money. You will receive a 3% referral commission bonus. For instance, you would receive $3 for free if someone used your referral code to make a $100 transaction.

As for Bytebus

Licensed cryptocurrency mining platform Bytebus adheres to the FCA regulations (Financial Conduct Authority) law to ensure that consumers are treated fairly; the FCA regulates financial services, businesses, and markets. 

Large Bytebus are currently running large data centers in Kazakhstan, Myanmar, and Iceland. The Kazakhstani government has given Bytebus the exclusive license in the world to support land leasing and exploitation within the next five years.

With the most cutting-edge deployment technologies, we have created the top cloud mining platform in the world, providing 2%–10% of the global hash rate. We have more upcoming plans for new products and services.


In conclusion, you should use Bytebus’ services if you’re seeking a reliable source of passive income through investing in cryptocurrencies.

Unlock The Value Of Google Trends Data With Web Scraping

Google Trends is an excellent data source for e-commerce businesses and website owners. It enables businesses to 

Identify trends in their industry. 

Monitor their competitors. 

Optimize SEO and content marketing strategy. 

Identify their niche market.

Understand customers’ behaviors and expectations.

Aside from the benefits of Google Trends data, extracting data manually is time-consuming. Web scraping enables e-commerce businesses to automatically collect Google Trends data in a structured format.

In this guide, we will explain how web scraping bots extract data from Google Trends step by step. In addition, we will provide you with the top 5 web scraping use cases in Google Trends, along with tips and business outcomes.

What is Google Trends data?

Google Trends is a free analytics tool displaying trending searches and keyword popularity. It provides anonymized and categorized datasets to make data easier to understand and use. It allows users to access real-time (data from the last 7 days) and non-real time (data from 2004 to the last 72 hours).

Is it legal to scrape Google Trends?

It is legal to scrape publicly available web data. However, data protection regulations such as GDPR and CCPA make it illegal to scrape personally identifiable information (PII). Scraping publicly available Google data is not illegal unless your scraping activities do not harm the website or you use scraped data for any harmful purpose.

How to scrape Google Trends data?

Identify your search term or topic. 

Select your geographical location (see Figure 1). 

Figure 1: Country-Region dropdown menu in Google Trends

Search for the term or topic you identified (see Figure 2). 

Figure 2: Two search functions of Google Trends for the same search term

Google Trends will provide a chart displaying interest in your specific term over the past 12 months. The highest point on the chart represents the peak popularity for the web scraping search (see Figure 3). 

Figure 3: Search interest for web scraping over the given time.

Enter the exact search term into your Google Trends scraper. 

Select the time range for the keyword (i.e., past 12 months). 

Choose your geographical location. 

Run the scraper to get the dataset from Google Trends 

Download the scraped data in the format of your choice.


Bright Data’s Google Trends Scraper API automatically collects public data from Google Trends. It scrapes Google Trends data, such as 

Search terms and topics,

Latest stories & insights,

Recently trending.

5 ways to make the most of Google Trends data using web scraping 1. Target Competitive Keywords

You can use Google Trends to learn about the search volume for your target keywords and the most popular related topics. It enables users to conduct multiple searches simultaneously (see Figure 4). You can compare a couple of search terms based on their search interest at a given time and location.  

In the following example, Google Trends displays the search interest for the terms “proxy server” and “VPN” in the United States over the last 12 months. There is no clear downward or upward for these keywords over the past 12 months. However, it does not show the exact amount of traffic. If you observe a downward trend in your target keyword, you can focus on keywords that are trending upward.

Figure 4: Comparison of two keywords’ popularity.

2. An easier way to conduct niche market research 3. Understand market trends on Google Shopping

Google Shopping allows customers to browse products from various sellers who featured their products on it (see Figure 6). 85% of all product searches are conducted on Amazon and Google. It is a great source for retailers to analyze competitors. Google Trends enables businesses to understand which products are trending up or down on Google Shopping at any given time and location.  

Figure 6:  Google service that enables customers to search for products on online.

When we search for wireless headphones on Google Shopping, Google Trends shows us wireless headphones interest in the United States over the last 12 months ( see Figure 7). If you scroll down the page, you can see in which locations the wireless headphones term is most popular. 

A quick recommendation: When you enter a term or topic into the search bar, you will see wireless headphones (search term) and wireless headphones (topic) appear in the dropdown menu. The search term only focuses on the actual search term and provides more focused results, whereas the topic covers related queries and terms and provides more comprehensive results. 

Figure 7: Example of Google Trends data concerning wireless headphones.

Assume you have added a product to Google Shopping, say a computer mouse, and want to analyze customer preferences and industry trends. I searched for a computer mouse on Google Trends to see dominant keywords in the industry and which products have the most traffic. You can see the rising keywords related to your search term in the related queries section. Glass mouse skate is the most popular search term for a computer mouse on Google Shopping (see Figure 8). Search terms labeled with breakout mean it grew by more than 5000%.

Figure 8: Example of related queries concerning computer mouse.

It provides information about customer preferences and needs. We can see that customers are interested in ergonomic mouse and wireless mouse (see Figure 9). You can see which areas in the United States are most interested in the computer mouse term .

Figure 9: Example of top rising keywords concerning computer mouse.

 4. Use your competitive keywords on YouTube to reach target customers 

Youtube is the 2nd most visited website in the world behind Google for September 2023. Youtube marketing helps businesses inform their potential customers about their products and services. A well-targeted Youtube content will empower your target audience in the purchase decision process. You can use Google Trends to understand the most popular topics in your industry and what searches your target audience makes. 

Assume you provide web scraping services and want to create video content that answers the questions of your target audience. Here’s a step-by-step guide to using scraped Google Trends data for YouTube marketing:

Search for the web scraping term and select “web scraping – search term” to get the most focused results (see Figure 10). 

Figure 10: Google Trends search results for the query “web scraping.”

Choose geolocation and a time range. 

Change the search property, switch from the web search to YouTube search. 

Check the top and rising queries to see what people are looking for with the keyword you entered. Top keywords show the most commonly searched terms in the United States when using web scraping. Rising searches are terms that have the most significant growth within the given period. Your competitive keywords are what is web scraping, web scraping with r, selenium web scraping, etc. (see Figure 11).

Figure 11:  Rising queries for web scraping term.

5. Monitor your competitors’ popularity 

Determine the leading brands in your industry: Let’s look at the competition between Netflix, HBO, and Hulu.

Determine the target locations: Let’s go with the United States. We want to see the search interest for the terms we entered in the given region.

Choose a time frame: In our case, we’d like to see the search interest over the past five years.

We can see that HBO Max and Hulu are performing almost at the same level after 2023. Netflix has clear upward trends at certain times. We can also see that it has been stable since 2023 (see Figure 12). 

Figure 12: Comparison of the popularity of multiple brands in the same industry.

How to Get Google Trends comparison data

Select the time range. 

Choose geo-location. 

Enter each search term that you would like to compare. 

Run the scraper to get the required data from Google Trends. 

You can save scraped data in the desired format, including CSV, Excel, and JSON. 

You can schedule scraping time. For instance, if you want to extract data regularly, say at the beginning of each month, set the web scraper to extract data on a monthly basis. The bot will run at the time you specify.

Further Reading

If you want to learn more about web scraping and how it can benefit your business, feel free to read our articles on the topic:

Also, feel free to check our data-driven list of web scrapers

For a comprehensive view of web scraping, how it works, use cases, and tools, feel free to download our in-depth whitepaper on the topic:

If you have any further questions about how to get data from Google Trends, you can reach us:

Gulbahar Karatas

Gülbahar is an AIMultiple industry analyst focused on web data collections and applications of web data.





8 Best Data Saving Android Browsers To Surf The Web Faster

There are a number of great browsers available for Android that let users surf the web but only a few of them bring data compression. You might be wondering why data saving Android browsers are needed in a time of high-speed internet. Well, there are a number of reasons for that. Firstly, your mobile data bandwidth can get used up quickly, especially if you love browsing on your Android smartphone and thus, if you have a good data compressing browser, you might save a lot of data for further usage. Then there’s also the issue of inconsistent internet speeds when we travel to remote places. With data compression technology, the browsers can bring you content a lot faster, even when your internet connection is unstable.

Among the plethora of browsers available on Google Play Store, there are some good data saving browsers available. We tested all the browsers for you and found the best data saving Android browsers:

Best Android Browsers to save data and open websites quickly 1. Opera Mini

Install: (Free)

Compatibility: Varies with device.

2. UC Browser

Compatibility: Android 2.3 and up.

3. Google Chrome

Android’s default browser, Google Chrome has a lot of tricks and one of them is the data compression feature, which comes in pretty handy. In Settings, you will find a “Data Saver” feature, which when turned ON compresses webpages to save you lots of data. Chrome uses Google servers to compress webpages you visit before they open. You can also turn off prefetch page resources in Privacy settings of Chrome to save data. While it’s a simple feature, it is handy, considering Chrome makes sure websites that are interactive remain that way. Along with the data saving features, we all know Chrome is a pretty capable browser with features like sync across devices, voice search, translate pages, intuitive gestures and more. As is the case with every other Google service, Chrome is available for free on the Play Store. It’s mostly pre-installed on Android smartphones but download it in case you don’t have it.

Install: (Free)

4. Yandex Browser

Yandex is another cool data saving browser that brings intuitive browsing along with other cool features. The browser brings a Turbo mode, which compresses traffic while opening webpages to save you data and load pages quicker. You can set the Turbo mode to automatic or enable/disable it. When set to automatic, Yandex browser automatically compresses elements in a webpage, which don’t hinder the experience. Moreover, the Turbo mode also compresses videos in pages. You will surely feel the speed while browsing the web on Yandex browser, thanks to the Turbo mode. Along with the data saving mode, Yandex browser brings a clean & intuitive UI, data sync, an active security system to protect your privacy on public WiFi networks and more. You can download Yandex browser on Android for free.

Install: (Free)

Compatibility: Varies with device.

5. Apus Browser

Install: (Free)

Compatibility: Android 4.0.3 and up.

6. Dolphin Browser

Install: (Free)

Compatibility: Varies with device.

7. KK browser

KK Browser is a lightweight browser aimed at people looking for a speedy browsing experience. The browser also brings a few handy data saving features. It claims to save you 60% data with its no-image mode. It also compresses webpages to load it up faster for you, which is appreciable if you have a slow connection or limited bandwidth. The browser is also great for people who don’t have a device with large internal storage, considering it takes around 1 MB of your space. Other features of the browser includes smart websites recommendation, Night mode, customizations and more.

Compatibility: Android 2.3.3 and up.

8. Flynx

Install: (Free)

SEE ALSO: 8 Tips To Save Mobile Data On Android

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