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Overview of Kafka Applications

One of the trending fields in the IT industry is Big Data. The company deals with a large amount of customer data and derives useful insights that help their business and provide customers with better service. One of the challenges is handling and transferring these large volumes of data from one end to another for analysis or processing; this is where Kafka (a reliable messaging system) comes into play, which helps in the collection and transportation of a huge volume of data in real-time. Kafka is designed for distributed high throughput systems and is a good fit for large-scale message processing applications. Kafka supports many of today’s best commercial and industrial applications. There is a demand for Kafka professionals having strong skills and practical knowledge.

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This article will learn about Kafka, its features, use cases, and understand some notable applications where it is used.

What is Kafka?

Apache Kafka was developed at LinkedIn and later became an open-source Apache project. Apache Kafka is a fast, fault-tolerant, scalable and distributed messaging system that enables the communication between two entities, i.e. between producers (generator of the message) and consumers (receiver of the message) using message-based topics and provides a platform for managing all the real-time data feeds.

The features that make Apache Kafka better than other messaging systems and applicable to real-time systems are its high availability, immediate, automatic recovery from node failures and supports low latency message delivery. Apache Kafka’s features help integrate it with large scale data systems and make it an ideal component for communication.

Top Kafka Applications

This section of the article will see some popular and widely implemented use cases and see some real-life implementation of Kafka.

Real-Life Applications 1. Twitter: Stream Processing Activity

Twitter is a social networking platform that uses Storm-Kafka (an open-source stream processing tool) as a part of its stream processing infrastructure. In turn, input data(tweets) are consumed for aggregation, transformations, and enrichment for further consumption or follow-up processing activities.

2. LinkedIn: Stream Processing & Metrics

LinkedIn uses Kafka for streaming data and operational metrics activity. LinkedIn uses Kafka for its additional features, such as Newsfeed, for consuming messages and performing analysis on the data received.

3. Netflix: Real-time Monitoring & Stream Processing

Netflix has its own ingestion framework that dumps input data in AWS S3 and uses Hadoop to run analytics of video streams, UI activities, events to enhance the user experience, and Kafka for real-time data ingestion via APIs.

4. Hotstar: Stream Processing

Hotstar introduced its own data management platform- Bifrost, where Kafka is used for data streaming, monitoring, and target tracking. Because of its scalability, availability, and low-latency capabilities, Kafka was ideal for handling the data that the Hotstar platform generates daily or on any special occasion (live streaming of any concerts, or any live sports match, etc.) where the volume of data increases significantly.

For these types of use cases, we would want to stream our input data / raw data into a data lake to store our data and ensure data quality without hampering the performance.

A different situation, we might be reading data directly from Kafka, is when we need extremely low end-to-end latency, like feeding data to real-time applications.

Kafka lays out certain functionalities to its users :

Publish and subscribe to data.

Store data in the order they were generated efficiently.

Real-time / On-the-fly processing of data.

Kafka, most of the time, is used for:

Implementing on-the-fly streaming data pipelines that reliably get data between two entities in the system.

Implementing on-the-fly streaming applications that transform or manipulate, or process the streams of data.

Use Cases

Below are some widely implemented use cases of the Kafka application:

Kafka works better than other traditional messaging systems such as ActiveMQ, RabbitMQ, etc. In comparison, Kafka offers better throughput, built-in partition facility, replication, and fault-tolerance capabilities, making it a better messaging system for large scale processing applications.

2. Website Activity Tracking

User activities (page views, searches, or any actions) can be tracked and fed for real-time monitoring or analysis via Kafka or Kafka to store these kinds of data into Hadoop or data warehouse for later processing or manipulation. Activity tracking generates a huge amount of data that needs to be transferred to the desired location without losing data.

3. Log Aggregation

Log aggregation is a process of collecting/merging physical log files from different servers of an application into a single repository (file server or HDFS) for processing. Kafka offers good performance, lower end-to-end latency when compared to Flume.

Conclusion

Kafka is used heavily in the big data space to ingest and move large amounts of data very quickly because of its performance characteristics and features that help achieve scalability, reliability, and sustainability. In this article, we discussed Apache Kafka its features, use cases, and application, making it a better tool for streaming data.

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Concept And The Top 4 Factors Of Itil Overview

Concept of ITIL Overview

Project scheduling and management, project management software & others

ITIL overview service Value Systems- This is a key component of the ITIL 4 framework. The name suggests; it helps companies synchronize all the components used to deliver service to their customers. It helps identify all the components and can also evaluate the contribution of each component. They can determine if any component lacks efficiency and can be further improved or worked, or eliminate a component.

Top 4 Factors in ITIL Overview

The most important aspect for companies is generating profits; if a component is not adding to profits, it is useless to the company. There are four essential components of ITIL service value systems.

Below is the list of the 4 factors:

1. Organizations and People

The organization needs to operate smoothly and efficiently, with all departments clearly defined and know of their role and duties and how they contribute to the overall productivity and profitability of the organization.

Often in today’s modern age, companies have their operations spread across geographies. No department can work and operate in isolation; there needs to be easy interconnectivity between teams. And clogs that can slow down processes must be identified and rectified immediately.

Intrinsic Motivation

Giving employees responsibility and autonomy.

Including their suggestions in the decision-making process.

Exploring different ways of working gives them the flexibility to do their job.

Extrinsic motivation

Tying their pay to their performance.

Giving them a fair and decent raise every year.

2. Information and Technology

This refers to the organization having modern IT management systems in place that aid in the organization’s organization’s overall development. Working with the latest technology helps the organization stay relevant and cut costs, as modern technology reduces dependency on humans and increases efficiency.

3. Partners and Suppliers 4. Value Streams and Process

The company can use IT services to streamline existing processes and services. As time passes, the existing process can become obsolete with the help of technology patterns where a slow process can be identified and worked up. At the same time, value creation is essential to the organization’s success.

Creating new channels to create value should be the company’s target. IT service management can help in identifying new trends to create value. ITIL 4 factors consider these four components not part of previous versions. It focuses on creating value by-products and the services it provides.

Who Can Use ITIL?

All organizations can use ITIL, regardless of size, business, and industry. They can use ITIL to solve technical and business-related issues they face. Using ITIL optimizes and enhances service quality, keeping customer needs, current trends, and demand in mind.

Why do Companies Use ITIL?

Companies can use ITIL for the following purposes:

Demand Management – Effectively manages the clients’ demand to ensure they have resources to meet the existing demand, simultaneously making provisions to prevent inventory from becoming obsolete from the drop in order.

Developing Market Spaces – This means creating a market for their products and services, identifying customer types, demands, needs, and what can be done to better their services to meet their demands.

Business Relationship Management – Maintaining relations with suppliers and clients is crucial for having a long-term relationship and developing trust with them. Loyal customers will continue to bring business sustainably.

The Service Portfolio and Implementation of Strategy – Using IT to create an overview of the company’s services and identify potential opportunities. Once a full list is created, it can be added to the company’s portfolio of assets.

Conclusion

Aligning the strategic and long-term objectives of the company with IT.

Improving how companies deliver their products and increasing customer satisfaction.

Saving costs by using modern IT practices and systems.

Overall increasing organizational efficiency and productivity.

It can also be used to change the organization’s structure if there is scope for improvement.

It can be used to manage the organization’s resources effectively and productively. This includes the workforce, raw materials, and other key factors the business uses in its operations.

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This is a guide to ITIL Overview. Here we discussed the concept, top 4 factors, and uses of ITIL in companies. You can also go through our other suggested articles to learn more –

Benefits And Applications Of Castor Oil

Promotes Healthy Skin − Castor oil is a rich source of fatty acids essential for maintaining healthy skin. The fatty acids in the castor oil help moisturize and nourish the skin while promoting collagen and elastin production. These two proteins are essential for maintaining skin elasticity and firmness. Castor oil can also help reduce inflammation and redness in the skin, making it a great natural remedy for conditions like eczema and psoriasis.

Supports Hair Growth − Castor oil also promotes healthy hair growth. The fatty acids in the castor oil help to nourish and strengthen the hair follicles, which can help to prevent hair loss and breakage. Castor oil is also rich in vitamin E, which is an antioxidant that helps to protect the hair from damage caused by free radicals. To use castor oil for hair growth, apply it to the scalp and massage it for a few minutes. Leave it on for at least an hour (or overnight for best results) before washing it with a gentle shampoo.

Reduces Joint Pain − To treat joint pain and inflammation topically, castor oil is another option. Castor oil contains anti-inflammatory ricinoleic acid, which can lessen swelling and joint pain. Use castor oil on the hurting area and massage it for a few minutes to relieve joint discomfort. Try adding some essential oils like lavender or peppermint for pain relief.

Boosts Immune System − A substance called ricin found in castor oil has been demonstrated to have immune-boosting qualities. By encouraging the creation of white blood cells, which aid in the defence against sickness and infection, ricin stimulates the immune system. A healthy immune system depends on lymphatic movement, which castor oil can aid in improving.

Improves Digestive Health − In relieving constipation, castor oil can improve overall digestive health. Castor oil helps to promote the production of digestive enzymes, which can help to break down food more effectively. It can also help reduce inflammation in the gut, leading to improved digestion and a reduced risk of digestive disorders like irritable bowel syndrome (IBS).

Fights Fungal Infections − Castor oil has antifungal properties, which makes it a great natural remedy for fungal infections like ringworm and athlete’s foot. The antifungal properties of castor oil are due to its content of undecylenic acid, which is effective against various fungal strains.

Enhances Wound Healing − Castor oil can also help to improve wound healing. The fatty acids in the castor oil assist in nourishing and hydrating the skin, promoting faster healing of cuts and wounds. Castor oil also has antibacterial properties, which can help to prevent infection and promote healing. To use castor oil for wound healing, apply it to the affected area and cover it with a clean bandage. Repeat this process daily until the wound has healed.

Reduces Acne − Castor oil can also be beneficial for reducing acne. The fatty acids in the castor oil help moisturize and nourish the skin, which can help to prevent the overproduction of sebum (oil) that can lead to acne. To use castor oil for acne, apply it to the affected area and massage it for a few minutes. Leave it on for at least an hour (or overnight for best results) before washing it off with a gentle cleanser.

Improves Oral Health − Castor oil can also improve oral health. The castor oil’s antibacterial properties can help kill the bacteria that cause bad breath and gum disease. Castor oil can also help reduce inflammation in the mouth, leading to healthier gums and teeth. To use castor oil for oral health, swish a tablespoon in your mouth for a few minutes before spitting it out. Repeat this process daily for the best results.

Reduces Inflammation − Castor oil contains anti-inflammatory compounds, which can help reduce inflammation in the body. These compounds can also help to reduce pain and swelling associated with inflammation. When applied topically, castor oil can penetrate deep into the skin and tissues, which can help to reduce inflammation and promote healing. This can benefit conditions such as arthritis, sore muscles, and menstrual cramps. When taken orally, castor oil can also help to reduce inflammation throughout the body.

Boosts Immune System − Castor oil is rich in ricinoleic acid, which has been shown to help boost the immune system. When taken orally, castor oil can help to increase the production of white blood cells, which are responsible for fighting off infections and diseases. A strong immune system can help protect against various health problems, including colds and flu, conditions, and even cancer. By boosting the immune system, castor oil can help to improve overall health and well-being.

Promotes Healthy Eyes − Castor oil can be used to foster healthy eyes and reduce the symptoms of dry eyes. Castor oil is rich in fatty acids and other nutrients that can help to moisturize and nourish the eyes. When applied topically around the eyes, castor oil can help to reduce dryness and redness and may also help to improve vision and reduce inflammation. By promoting healthy eyes, castor oil can help to improve overall health and well-being.

Helps with Sleep − Getting enough restful sleep is essential for overall health and well-being. Castor oil can be used to promote relaxation and improve sleep quality. When applied topically to the chest or taken orally, castor oil can help to reduce stress and anxiety and may also help to improve sleep quality. By promoting restful sleep, castor oil can help to improve overall health and well-being.

An Overview Of Apple Watch Apps And Software

We’re still trying to sift through all of the information Apple dropped on us this morning regarding its new smartwatch, and I have to admit, it’s been tough. There is just so much to this device, and so much it can do, it’s tough to figure out where to begin picking out points of interest to pass along to our readers.

But we knew for sure that we wanted to highlight some of the software features and apps Apple showed off for its Watch today, such as Phone, Messaging, Siri and more. So we put together a brief overview, if you will, highlighting what we thought were some of the Watch applications and features worth noting.

Messaging

Receiving a message on Apple Watch is as easy as you’d expect. Once you’ve been notified (more on that in a minute), you can choose to read it, delete it or respond to it. Sending messages is also fairly easy, thanks to dictation and smart replies. The Watch can actually suggest responses to you based on the incoming message and the things you write most. Or, you can skip text altogether by sharing an animated emoji, which you can customize yourself.

Email works the same way. You can read the message, flag it, mark it as read or unread, or move it to the Trash. Or you can elect to open the message on your iPhone, where you can type a lengthier response.

Phone

Fitness

Fitness software on the Apple Watch is broken up into 2 apps: Activity and Workout. Activity provides a simple graphical overview of your daily activity, with three rings telling you everything you need to know. The Move ring shows how many calories you’ve burned, the Exercise ring shows how many minutes of brisk activity you’ve done, and the Stand ring shows how often you’ve stood up to take a break from sitting.

The workout app takes things a little bit further, showing real-time stats for cardio workouts such as time, distance, calories, and pace. It allows you to set goals for each workout, and encourages you to meet or beat those goals along the way. Your workout is included in your Activity app measurements for the day, and the data is funneled into the Health app on your iOS 8 device.

Payments

Siri

Yes, Apple Watch features Siri integration as well. The Watch version of the digital assistant allows you to accomplish many of your favorite voice command tasks without pulling your iPhone out, including dictating a message, asking to view your next event, finding the nearest coffee shop or restaurant, and much more.

Alerts & Notifications

Apple Watch uses new Taptic technology (essentially haptic feedback) to ‘tap’ you for alerts and notifications. There are subtle audio cues too, and each notification has its own unique character.

You can also choose to have notifications show up on your Apple Watch for apps (both stock and third-party), and notifications built with WatchKit will allow you to take action or respond right from your wrist.

WatchKit

WatchKit is Apple’s developer platform for Apple Watch, which will allow devs to create and submit third-party apps for the device. WatchKit apps can incorporate Glances—a gesture that involves swiping up from your watch face to expose at-a-glance information, as well as actionable notifications, and other unique-to-Apple-Watch features.

Other

Over two million combinations of customizable watch faces

Friends – shortcut icons to those you communicate with most

Sketch – draw in real time with friends

Walkie-Talkie – use the built-in speaker and microphone to trade sound bites with friends.

Tap – let friends or loved ones know you’re thinking of them with a silent, gentle tap they’ll feel on the wrist

Heartbeat – when you press two fingers on the screen, the built-in heart rate sensor records and sends your heartbeat

Calendar app – see what’s next in your day or upcoming week. Apple Watch sends you meeting reminders, as well as calendar invitations you can accept or decline directly from your wrist

Maps app – see your current location and get directions, highlighting the best route with turn-by-turn navigation

Music app – control the music on your iPhone without taking it out of your pocket, or listen to music directly on Apple Watch

Remote app – control iTunes and Apple TV using Apple Watch

Remote Camera – Apple Watch doubles as a remote for the iSight camera on your iPhone and doubles as a live display

Stopwatch, Timer, World Clock, Alarms

View Stocks and Weather information

Watered down versions of Photos and Settings apps

Continuity support – start something on Apple Watch—writing a message, reading news headlines—and finish it on iPhone

Top Programming Languages Powering Fintech Applications In 2023

Analytics Insight has listed major programming languages that are changing the face of fintech

The 

Top five programming languages for fintech

  Java C++ C++ is a cross-platform language that can be used to create high-performance applications. It is an object-oriented C++ was developed by Bjarne Stroustrup, as an extension to the C language. The magic of C++ is that the language is closer to machines than other programming languages, making its frequency very high. In the C++ programming and that makes the language a must be known for job seekers.   Haskell Haskell is a widely used functional programming language that is based on mathematical functions. The language is named for Haskell Brooks Curry, whose work in mathematical logic services as a foundation for functional languages. Extraordinary features like a balance of flexible and inflexible qualities make Haskell a fascinating programming language to learn and use. Programmers can now relieve themselves from writing large software systems, thanks to emerging Python Python is an interpreted, object-oriented, high-level SQL

The fintech industry across the world is very receptive to disruptive technologies. The increase in transaction rates and the low risk on tolerance have surged the need for applications that can streamline the banking process. Unfortunately, before employing the applications directly on fintech , we need to develop or program them. Banks have been directly connecting with IT firms or hiring programmers to carry out the job. The programmers are expected to be well versed in programming languages . Programming is the process of writing instructions for a computer or an application to perform. Even though they don’t expect the candidate to know all programming languages , the professionals should at least be fluent in some of them. When programmers work on a fintech projects, they should consider technical and business requirements and the banks’ specific needs. Analytics Insight has listed major programming languages that are changing the face of fintech in 2023 Java is a general-purpose, class-based, object-oriented programming language designed for having lesser implementation dependencies. It is one of the most used programming languages that are also featured in the computing platform. Java was first released by Sun Microsystems n 1995. It is well known and fast adopted for its secure and reliable features. Remarkably, the fintech industry is embracing java to power its systems and applications. Java also offers everything companies in fintech need to develop robust apps that customers can rely on to assist with their requirements. It is openly accessible in a variety of OD platforms including iOS, Android, Windows, Linux, and others. Henceforth, Java carries the luxury to provide companies with an extensive audience base without necessitating expensive investments. Java’s extensive features like Java Virtual Machine leverages byte code, type safety, garbage collection, etc that helps companies entrust the language for fintech apps.C++ is a cross-platform language that can be used to create high-performance applications. It is an object-oriented programming language that gives a clear structure to programs and allows code to be reused, lowering development costs. C++ is famous for its portable accessibility that is used to develop applications that can be adapted to multiple platforms. Besides, it is also simple in the sense that programs can be broken down into logical units and parts, and has rich library support and a variety of data chúng tôi developed by Bjarne Stroustrup, as an extension to the C language. The magic of C++ is that the language is closer to machines than other programming languages, making its frequency very high. In the fintech industry, a good number of programmers use the C++ language. Most of the professionals in fintech are also good atprogramming and that makes the language a must be known for job seekers.Haskell is a widely used functional programming language that is based on mathematical functions. The language is named for Haskell Brooks Curry, whose work in mathematical logic services as a foundation for functional languages. Extraordinary features like a balance of flexible and inflexible qualities make Haskell a fascinating programming language to learn and use. Programmers can now relieve themselves from writing large software systems, thanks to emerging programming languages like Haskell that make it easier and cheaper to develop applications. Fintech companies use Haskell because of its properties that imperative programming doesn’t provide. It is also great in handling blockchain, immutability, type safety, and the ability to manage distributed computation well.Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. It is widely adopted by programmers for its high-level build-in data structures, combined with dynamic typing and dynamic binding. Besides, it can be easy to pick up for both first-timers and well-experienced programmers. Python also provides increased productivity that programmers look for in a programming language. It was created by Guido van Rossum, and released in 1991. Python rose to popularity and has been demonstrated by numerous financial companies after job postings required the language from developers since 2024. Widespread across the investment banking and hedge fund industries, banks are suing Python to solve quantitative problems for pricing, trade management, and risk management chúng tôi is also known as Structured Query Language, is a standard language for accessing and manipulating databases. It features database creation, deletion, fetching rows, modifying rows, etc. Even though SQL is an ANSI (American National Standard Institute) standard language, there are many different versions of the SQL language that has emerged from the core. It can also perform exclusive operations like optimizing and maintaining databases. For a fintech company, SQL is used to analyze consumer data. Doing so will help them identify seasonal variations in demand or consumption patterns.

Top 18 Web Scraping Applications & Use Cases In 2023

In this article, we focus on web scraping use cases and applications from market research for strategy projects to scraping for training machine learning algorithms.

Data Analytics & Data Science Machine learning training data collection

Machine learning algorithms require a large volume of data to improve the accuracy of outputs. However, collecting a large amount of accurate training data is a big pain. Web scraping can help data scientists acquire the required training dataset to train ML models. For example, GPT-3 which impressed the computer science community with its realistic text generation was built on textual content on the web.

To learn more about web crawler use cases in data science, see our in-depth guide to web scraping for machine learning.

Marketing & sales Price intelligence data collection

For every price elastic product in the market, setting optimal prices is one of the most effective ways to improve revenues. However, competitor pricing needs to be known to determine the most optimal prices. Companies can also use these insights in setting dynamic prices.

Sponsored:

Bright Data’s Data Collector is a web scraper that can be used to extract competitors’ pricing data and this is the most common web scraping use case mentioned by most companies in the space.

A web crawler can be programmed to make requests on various competitor websites’ product pages and then gather the price, shipping information, and availability data from the competitor website.

Another price intelligence use case is ensuring Minimum Advertised Price (MAP) compliance. Manufacturers can scrape retailers’ digital properties to ensure that retailers follow their pricing guidelines.

Fetching product data

Specifically, in e-commerce, businesses need to prepare thousands of product images, features, and descriptions that have already been written by different suppliers for the same product. Web scraping can automate the entire process and provide images and product descriptions faster than humans. Below is an example of extracted product data from an e-commerce company website.

To learn more about how you can leverage Amazon data for a competitive edge, check out our in-depth guide on scraping Amazon data.

Brand protection

Using web scraping brands can swiftly identify online content (e.g. counterfeit products) which can hurt your brand. Once this content are identified, brands can take legal action against those responsible:

Counterfeiting: Counterfeiters need to market their products and scrapers allow businesses to identify those products before actual users and protect users from buying fake products.

Copyright infringement is the use of copyrighted works without permission. Web scrapers can help identify whether copyrighted intellectual property is used illegally.

Patent theft is the unlawful manufacturing or selling of licensed products.

Trademark infringement is the illegal use of a logotype, pattern, phrases, or any other elements that are associated with the brand.

Competition research Lead generation Lead prioritization

In addition, signals (e.g. promotions, new hires, new investments, M&A) that are likely to trigger purchasing can be scraped from news or company announcements. This can help companies further prioritize their marketing efforts.

Marketing communication verification

Companies invest billions in spreading their message and especially large brands need to be careful about how their marketing messages are delivered. For example, Youtube got in trouble in 2023 by displaying Fortune 500 links in hateful and offensive videos.

Monitoring consumer sentiment

Analyzing consumer feedback and reviews can help businesses understand what is missing in their products & services and identify how competitors differentiate themselves. Social media data is used by companies in many business use cases including sales and marketing purposes. 

Companies extract consumer data from social media platforms such as Twitter, Facebook, and Instagram by using a social media scraping tool.

To learn more about social media scraping, read our comprehensive guide on social media scraping.

However, there are dozens of software review aggregator websites that contain hundreds of reviews in every solution category. Web scraping tools and open-source frameworks can be used to extract all these reviews and generate insights to improve services and products.

For example, AIMultiple solution pages include a summary of insights from all online sources, helping businesses identify different products’ strengths and weaknesses.

SEO Audit & Keyword research

Search engines like Google consider numerous factors while ranking websites. However, search engines provide limited visibility into how they rank websites. This led to an industry of companies that offer insights on how companies can improve their online presence and rank higher on search engines.

Most SEO tools such as Moz and Ubersuggest crawl websites on-demand to analyze a website’s domain. SEO tools utilize web crawlers for SEO monitoring to

run SEO audits: Scrape their customers’ websites to identify technical SEO issues (e.g. slow load times, broken links) and recommend improvements

analyze inbound and outbound links, identifying new backlinks

scrape search engines to identify different companies’ web traffic and their competition in search engines. This scraping can also help generate new content ideas and content optimization opportunities supporting companies’ keyword research efforts.

scrape competitors to identify their successful strategies taking into account factors like the word count of the different pages etc.

scrape the rank of your website weekly/ annually in keywords you are competing in. This enables the SEO team to take immediate action if any unpredicted rank decrease happens.

Website testing

Webmasters may use web scraping tools to test the website’s front-end performance and functionality after maintenance. This enables them to make sure all parts of the web interface are functioning as expected. A series of tests can help identify new bugs. For example, tests can be run every time the tech team adds a new website feature or changes an element’s position.

Public Relations Brand monitoring

Brand monitoring includes crawling various channels to identify who mentioned your company so that you can respond and act on these mentions to serve them better. This can involve news, complaints & praises on social media.

Trading Data-driven portfolio management

Hedge funds rely on data to develop better investment strategies for their clients. According to Greenwich Associates, an average hedge fund spends roughly $900,000 per year on alternative data source. Web scraping is listed as the largest source of alternative data:

One web scraping example is extracting and aggregating news articles for predictive analysis. This data can be used to feed into their own machine learning algorithms to make data-driven decisions.

Strategy Building a product

The goal of Minimum Viable Products (MVPs) is to avoid lengthy and unnecessary work to develop a product with just enough features to be usable by early customers. However, MVPs may require a large scale of data to be useful to their users, and web scraping is the best way to acquire data quickly.

Market research Support functions Procurement

There are various job portals such as Indeed and Times Jobs where candidates share their business experience or CVs. A web scraping tool could be utilized to scrape potential candidates’ data so that HR professionals can screen resumes and contact candidates that fit the job description well. However, as usual, companies need to ensure that they do not violate T&Cs of job portals and only use public information on candidates, not their non-public personal information (NPPI).

AI has significant use cases in HR, for example by automating CV screening tasks and frees up a significant amount of the HR team’s time. For example, candidates’ career progression after joining a new company can be correlated with their educational background and previous experience to train AI models on identifying the right candidates. For example, if those with engineering backgrounds and with a few years of marketing experience in a marketing agency, end up getting promoted fast in a marketing role in a certain industry, that could be a valuable information for predicting the success of similar candidates in similar roles. However, this approach has significant limitations, for example Amazon’s recruiting tool was identified to be biased since it relied on such historical data.

Explore web crawling use cases in recruiting in our in-depth article.

Technology Website transition

For companies that operate on a legacy website and transfer their data to a new platform, it is important to ensure that all their relevant data is transfered to the new website. Companies operating legacy websites may not have access to all their website data in an easy to transfer format. Web scraping can extract all relevant information in legacy websites.

If you still have any questions about web scraping, feel free to read our in-depth whitepaper on the topic:

If you are looking for a web scraping vendor, feel free to check our sortable and regularly updated vendor lists or contact us:

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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