#Netflix App Data Scraping Services

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Title: Netflix App Data Scraping Services - Netflix App Data Collection

iWeb Data Scraping provides the best Netflix app data scraping services to scrape episodes, shows, ratings, etc., across the USA, UK, Canada, India, Australia, Germany, France, UAE, Belgium, and Italy. We make use of the latest technology for Netflix app data Collection.

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The Many Applications of Residential Proxy Servers

Residential proxy servers are a powerful tool that can enable a wide variety of use cases across different industries. Unlike datacenter proxies that use IP addresses assigned to servers, residential proxies leverage IP addresses belonging to real internet users and their home devices. This provides several key advantages that make residential proxies invaluable for many applications.

Web Scraping and Data Extraction

One of the primary use cases for residential proxies is web scraping and large-scale data extraction. When scraping websites, using residential IPs can significantly reduce the chances of getting blocked or banned. Websites are much more likely to trust and allow requests coming from residential IP addresses versus those from known data centerIP ranges.

This makes residential proxies essential for price comparison, market research, lead generation, and competitive analysis. A market researcher, for example, can use residential proxies to gather sales intelligence data from various e-commerce sites without revealing their actual location or IP address.

Similarly, an e-commerce business can leverage residential IPs to monitor product listings, prices, and reviews across competitor websites. This provides valuable insights to inform their own pricing and product strategies.

Content Access and Geo-Targeting

Residential proxies also enable users to access online content that is restricted or only available in certain geographic regions. This is particularly useful for streaming services like Netflix, Hulu, or BBC iPlayer, which often impose geo-restrictions on their content libraries.

By connecting through a residential proxy in the target location, users can bypass these restrictions and access the local content catalog. This is valuable not just for individual consumers, but also for businesses that need to test their apps and websites from different locations.

Residential proxies can also help businesses deliver more personalized, location-based experiences to their customers. An e-commerce store, for instance, can use residential IPs to show users products, pricing, and promotions tailored to their apparent geographic region.

Ad Verification and Brand Protection

Residential proxy networks are crucial for verifying the delivery and performance of online advertising campaigns. Ad verification providers can use residential IPs to monitor the visibility, placement, and engagement of ads across various websites, apps, and platforms without being detected or blocked.

This helps identify ad fraud, such as bot traffic or competitor interference and ensures brands get the full value from their advertising spend. Residential proxies are also vital for brand protection use cases, where businesses need to constantly monitor the web for copyright infringement, trademark abuse, and other malicious activities.

Application and Website Testing

Residential proxy servers play a key role in testing the functionality, usability, and performance of apps and websites across different locations, devices, and network conditions. Developers and QA teams can use residential IPs to simulate real-world user experiences from various geographic regions.

Fintech and Financial Services

In the financial sector, residential proxies are used for a range of applications, from fraud detection to market data aggregation. Banks and fintech firms can leverage residential IPs to monitor online transactions, identify suspicious activities, and prevent financial crimes like money laundering.

Residential proxies are also crucial for collecting real-time market data, such as stock prices and currency exchange rates, from various sources without being blocked or rate-limited. This data can then be used to power trading algorithms, investment research, and other financial services.

Residential Proxy Advantages

The key advantages that make residential proxies so valuable across these diverse use cases include:

Increased Trust and Reduced Blocking: Websites and online services are generally more trusting of requests from residential IP addresses, as they are less likely to be associated with bots, scrapers, or other malicious activities. This significantly reduces the chances of getting blocked or banned.

Improved Geo-Targeting: Residential proxies allow users to appear as if they are accessing the internet from different geographic locations, enabling more accurate location-based content, pricing, and experiences.

Enhanced Privacy and Anonymity: By masking the user’s actual IP address and location, residential proxies provide an extra layer of privacy and anonymity, which is crucial for sensitive applications like financial services and brand protection.

Scalability and Reliability: Residential proxy networks, such as those offered by providers like NetNut, can offer unlimited concurrent sessions and high availability, ensuring consistent performance and reliability even under heavy load.

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Scrape Streaming App Data | Amazon Prime | Netflix | Disney+ Hotstar

How to Scrape Streaming App Data From Streaming App Like Amazon Prime, Netflix, and Disney+ Hotstar?

Nov 06, 2023

Introduction: Unlocking Insights From Streaming App Data

In the ever-evolving landscape of streaming platforms such as Amazon Prime, Netflix, and Disney+ Hotstar, the wealth of data generated presents a goldmine of insights. As the demand for content grows, so does the need to understand user preferences, engagement patterns, and content performance.

This guide delves into the intricacies of scraping data from streaming apps, empowering you to harness actionable insights for strategic decision-making. From audience behavior to content popularity, scraping allows you to navigate the dynamic world of streaming services with precision.

As we embark on this exploration, it's crucial to acknowledge the significance of responsible and ethical data extraction practices. Respecting the terms of service of these platforms and ensuring user privacy should be at the forefront of any scraping endeavor.

Join us on a journey to demystify the process of scraping streaming app data. Whether you're a content strategist, developer, or business analyst, the knowledge gained here will equip you to unlock the potential of streaming data, enhancing your ability to cater to audience preferences and stay ahead in the competitive streaming landscape. Let's delve into the intricacies of scraping and decipher the insights these platforms hold.

What Is Video Streaming?

Video streaming is a revolutionary technology that is transforming how we consume audiovisual content. It refers to the real-time delivery of video content over the internet, allowing users to watch videos without downloading the entire file. Unlike traditional methods, where content must be fully downloaded before playback, video streaming enables seamless and on-the-fly playback, offering an uninterrupted viewing experience.

Video streaming delivers content in small, compressed packets, ensuring swift transmission and playback. This technology has become the cornerstone of numerous online platforms, ranging from entertainment giants like Netflix, Amazon Prime, and Disney+ to live streaming services on platforms like YouTube and Twitch.

The success of video streaming lies in its ability to adapt to varying internet speeds and device capabilities, providing a flexible and user-friendly experience. Users can access a vast library of content, including movies, TV shows, live events, and more, with a stable internet connection. As technology advances, video streaming remains at the forefront, shaping the future of digital entertainment and communication.

Latest Stats About Video Streaming Market

The video streaming market is valued at over $500 billion and is projected to reach $1.9 trillion by 2030 (CAGR: 19.3%).

The US alone boasts over 800,000 unique streaming titles, with a rising number of streaming platforms.

Video Streaming Services (Top 5 Stats)

Streaming dominates TV usage at 38.1%.

Video streaming subscriptions reach 1.8 billion globally.

26% of viewers indulge in weekly binge-watching.

Netflix surpasses 200 million global subscribers.

"Stranger Things" claims the title of 2022's most-streamed program with 52 billion minutes viewed.

Video Streaming Market Share

Streaming claims 38.1% of total TV usage, surpassing cable and broadcast.

Video Streaming Users

Subscriptions surged from 1.1 billion (2020) to approximately 1.8 billion (2023).

User penetration will be around 17% in 2023 and is expected to reach 20.7% by 2027.

83% of US households have at least one streaming service subscription.

Video Streaming User Activity

Americans spend an average of 3 hours and 6 minutes daily streaming video.

72% express satisfaction with the streaming experience.

93% plan to maintain or increase their streaming options.

Video Streaming Players

Netflix leads with over 231 million subscribers.

Competitors include Disney+ (157 million), Amazon Prime Video (117 million), HBO Max (97 million), Paramount+ (60 million), and iQIYI (128.9 million as of Q1 2023).

Essential Data Fields For Comprehensive Video Streaming App Analysis

Scraping data from video streaming apps involves extracting diverse fields to capture comprehensive insights into user behavior, content performance, and platform dynamics. Critical data fields for scraping video streaming app data include:

Title and Genre: Capturing the title and genre of each video provides a fundamental understanding of content offerings and user preferences.

Viewership Metrics: Metrics such as the number of views, watch time, and unique viewers shed light on specific content's popularity and engagement levels.

User Ratings and Reviews: Scrutinizing user-generated ratings and reviews offers valuable sentiment analysis, helping to gauge audience satisfaction and preferences.

Recommendation Algorithm Data: Understanding how recommendation algorithms function, including suggested content and personalized recommendations, provides insights into content discovery patterns.

Subscription Data: For subscription-based platforms, scraping subscription-related data, including user plans, subscription rates, and retention metrics, aids in understanding revenue streams and user loyalty.

Device and Location Data: Analyzing the devices used, and geographical locations of users enhances the platform's understanding of its user base, facilitating targeted content delivery.

Content Metadata: Extracting metadata such as cast, crew, release date, and duration contributes to building a comprehensive content database.

Ad Performance Metrics: For ad-supported platforms, scraping data on ad impressions, click-through rates, and advertiser information is crucial for monetization strategies.

User Interaction Data: Tracking user interactions, including likes, shares, and comments, provides insights into user engagement and social interactions on the platform.

Platform Analytics: Scraping data on platform usage, session durations, and user demographics aids in refining user experience and tailoring content strategies.

Streaming platforms can gain actionable insights by meticulously extracting these data fields, enhancing user experiences, and making informed decisions to stay competitive in the dynamic video streaming landscape.

List of Streaming App Scraping Services

Video streaming is vast, with many platforms offering diverse content catering to varied tastes and preferences. Here's a list of notable video streaming apps that have made a significant impact:

Netflix: Netflix, a trailblazer in the streaming industry, features an extensive collection encompassing movies, TV shows, documentaries, and exclusive original content.

Amazon Prime Video: With a mix of licensed and original content, Amazon Prime Video is a significant player in the streaming market, offering a diverse range of entertainment.

Hulu: Known for its extensive collection of current TV shows and next-day access to network series, Hulu is a popular choice for on-demand streaming.

Disney+ Hotstar: Disney+, the preferred platform for family-friendly entertainment, hosts a diverse selection, including Disney classics, Pixar films, Marvel series, and Star Wars content.

HBO Max: Offering a combination of HBO's premium content, WarnerMedia's library, and exclusive originals, HBO Max is a comprehensive streaming service.

Apple TV+: Apple's streaming service features a growing catalog of original content, including movies, documentaries, and series.

Peacock: NBCUniversal's streaming service combines current NBC shows, classic TV, and movies.

Paramount+: Formerly CBS All Access, Paramount+ offers a vast library of CBS content, live TV, and exclusive originals.

YouTube TV: Providing live TV streaming with a wide range of channels, YouTube TV is a popular choice for cord-cutters.

Crave: Crave is a Canadian streaming service offering a mix of HBO content, Showtime, and other popular TV series and movies.

These streaming apps represent just a fraction of the diverse landscape, showcasing the dynamic evolution of how audiences consume content in the digital age. Each platform brings unique content and features, contributing to the vibrant world of video streaming.

The Future Of Video Streaming Apps

The future of video streaming apps is poised for continuous innovation and evolution, driven by technological advancements, changing consumer behaviors, and the dynamic landscape of the entertainment industry. Several vital trends shape the trajectory of video streaming:

Emergence of Immersive Technologies: Augmented Reality (AR) and Virtual Reality (VR) are anticipated to play a pivotal role in enhancing the immersive viewing experience, allowing users to engage with content in new ways.

AI-Driven Personalization: Artificial Intelligence (AI) and machine learning will refine content recommendation algorithms, offering hyper-personalized suggestions based on user preferences, viewing habits, and contextual relevance.

Integration of Social Elements: viewing experiences, such as synchronized watching and interactive features, will become more prominent, fostering a sense of community among users even in the digital realm.

Live Streaming Domains: Beyond traditional on-demand content, live streaming will continue to gain prominence, especially in areas like sports, gaming, and real-time events, offering dynamic and engaging experiences.

5G Revolution: The widespread adoption of 5G technology will enable faster and more reliable streaming, facilitating high-quality video content on mobile devices and ushering in a new era of seamless connectivity.

Original Content Boom: Streaming platforms will invest significantly in creating original and exclusive content to differentiate themselves, leading to a surge in unique and diverse storytelling.

Monetization Strategies: Varied monetization models, including ad-supported, subscription-based, and hybrid models, will continue to evolve as platforms experiment with new ways to generate revenue while providing value to users.

As these trends converge, the future of video streaming apps promises an even more dynamic and personalized landscape, redefining how audiences consume and engage with content in the digital era.

Association Of App Scraping And Video Streaming Apps

The association between App scraping and video streaming apps underscores the dynamic interplay between data extraction and content delivery platforms. App scraping, the process of extracting data from Application, is crucial in several ways, enhancing video streaming apps' functionality and user experience.

Firstly, App scraping enables streaming platforms to gather real-time data on user preferences, viewing habits, and content popularity. This valuable information fuels the development of sophisticated recommendation algorithms, ensuring personalized content suggestions that resonate with individual viewers.

Additionally, App scraping facilitates competitive analysis by tracking the performance and offerings of rival streaming services. This data empowers platforms to make informed decisions about content acquisition, pricing strategies, and user engagement features, ultimately contributing to their competitive edge in the market.

Moreover, app scraping aids in monitoring and optimizing ad placements and user interactions on streaming platforms. Streaming services can refine advertising strategies by analyzing app data and ensuring targeted and effective promotions tailored to user demographics.

In essence, integrating app scraping techniques enhances the strategic decision-making processes within video streaming apps, leading to improved user experiences, content curation, and overall competitiveness in the ever-evolving landscape of digital entertainment.

How Mobile App Scraping Can Help You In Scraping Live Video Streaming Data?

Mobile App Scraping offers specialized expertise in scraping live video streaming data, providing tailored solutions to meet your unique data extraction needs. Here's how Mobile App Scraping can assist you in this domain:

Customized Scraping Solutions: Mobile App Scraping understands that each live video streaming platform has nuances. They offer customized scraping solutions, ensuring that the data extraction process is aligned with the specific requirements and intricacies of the targeted platform.

Real-Time Data Extraction: For live streaming data, timeliness is crucial. Mobile App Scraping employs advanced techniques to enable real-time data extraction, ensuring you have access to the latest and most relevant information as events unfold.

Scalability: Whether you're dealing with a small-scale event or a large-scale live streaming platform, Mobile App Scraping provides scalable scraping solutions. This scalability ensures that the scraping process can efficiently handle varying volumes of data without compromising performance.

Comprehensive Data Fields: Mobile App Scraping can tailor the scraping process to extract a wide range of data fields. This may include information about live viewership, audience engagement, content popularity, and other relevant metrics crucial for a holistic understanding of the streaming landscape.

Adherence to Ethical Standards: Mobile App Scraping prioritizes ethical scraping practices. They ensure compliance with the terms of service of the targeted platforms, respect privacy guidelines, and operate within legal frameworks, providing you with data obtained through ethical means.

Robust Technical Support: The team at Mobile App Scraping offers robust technical support throughout the scraping process. From initial setup to ongoing maintenance, their experts are available to address any technical challenges and ensure the smooth operation of the scraping solution.

By leveraging Mobile App Scraping for scraping live video streaming data, you can gain a competitive edge by making data-informed decisions, understanding audience behaviors, and staying ahead in the dynamic landscape of live streaming platforms.

Conclusion

Entrusting Mobile App Scraping with your live video streaming data scraping needs ensures a service and a strategic partnership dedicated to optimizing your insights and decision-making processes. With customized scraping solutions tailored to the intricacies of each platform, Mobile App Scraping guarantees real-time extraction, scalability, and a comprehensive array of data fields. The commitment to ethical standards ensures that the data obtained is accurate and acquired responsibly, adhering to legal and privacy guidelines

As the dynamic world of live streaming continues to evolve, Mobile App Scraping is your reliable ally, providing robust technical support and adapting to the ever-changing landscape. Make informed decisions, stay ahead of trends, and harness the power of real-time data with Mobile App Scraping. Seize the opportunity to elevate your understanding of live video streaming dynamics and position your endeavors for success. Act now and embark on a data-driven journey with Mobile App Scraping – where your data needs meet unparalleled expertise.

Take the next step towards data-driven excellence. Contact Mobile App Scraping today and unlock the full potential of your live video streaming insights.

know me>> https://www.mobileappscraping.com/scrape-streaming-app-data-from-amazon-prime-netflix-disney-plus-hotstar.php

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Scrape OTT Media Platform App Data | Streaming App Data Scraping

Mobile App Scraping offers OTT Media Platform Data Scraping Services to extract data from popular OTT Media Platforms such as Netflix, Amazon Prime Video, Hulu, and Disney+ Hotstar and more.

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Netflix Data Scraping Services | Scrape Netflix Movies and TV Shows Data

Using Actowiz Solutions Netflix Data Scraping Services in the USA, UK, and UAE helps you scrape Netflix Data like Movies, TV Shows, video metadata, etc.

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Scrape OTT Media Platform Using Web Scraping

What is OTT Platforms?

There have been massive changes in the platform of OTT. There are many over platforms needed for media services or the apps that we used on mobiles for viewing all the video content. These are the services that are offered to users of the internet. These are the main platforms that have changed in the years. It can be started with Amazon Prime Video Streaming across the world. OTT platforms have changed in such a way that it looks at entertainment. Top on the video demands for the platform that can be used lots of data and can crunch a lot of numbers on different levels so that we can provide perfect content to clients.

There are many platforms like Amazon Prime, Netflix, HotStar is getting scraped, so we are following that process in which you can scrape the data from OTT Media Platforms Crawling. Talking about the data is everywhere and it is used by many companies that will able to make all video content from different clients.

Data Used by OTT Users

Many OTT media platforms provide data. Many examples if you have finished watching all your important shows, that’s the reasoning engine required similar shows. That means platforms and algorithm needs to be designed to suggest the same viewers to content.

Here are 5 main Followed Platforms:

1.Identification & User Segmentation:

Platforms always need to stay ahead. So they need to show them what the next plan is. Many platforms show that the clients are having different offers and discounts that can use for a subscription. There are many unique platforms for all clear users. Users can also choose the plan of their choice and can avail of discount coupons for the same.

2.Lifetime Value of Each User:

Cross-selling is something that can help people to look forward. E.g. Amazon is providing prime membership along with Amazon music and all the other best offers along with the subscription. This will help to increase loyalty regarding the brand and shows interest in longer services. Data analytics can help in many ways like you can identify user trends and you can manage an organization or you can showcase cross-selling promotions to all the related users.

3.Experience Enhancement Users:

They are providing all the personalized that can give a recommendation to all the users they have completed watching all the different shows or channels. Data helps to organize, find, and predict all the recommendations to users. This will help you to increase the large number of variations on the platforms and you can easily able to make unique content.

4.Targeting Advertisement:

This is the complete process which requires from all the different sources. Web Scraping Services is the process that provides quality data to all the companies. The advertisement has to run that promotes different content that provides all different OTT platforms. It helps to increase content views and subscriptions too. Advertisement is a very important and creative source that can immediately help to sign-ups all the various platforms, it can also help to find out all potential customers for different platforms.

5.Accurate Predictions:

Many offers and sales are there for a subscription that can help to boost the sale of subscription plans that is offered by OTT platforms. Web Scraping Data is useful in many such cases where the data is given priority to organize to make deep analysis statistics over the valuable information for giving data.

Customers Success and Insights

It helps to collaborate all the approaches that can understand all the requirements in the terms of different sources of the data, the volume of data, the data models, velocity of data, and variety of data. Using different inputs, an organization like Amazon Prime, Netflix, Hot Star, will able to create a large impact on the enterprise level. It can also create a pipeline for all the business intelligence once the analysis is done.

Being the Pioneer

Companies like Amazon Prime, Netflix, Hot Star, do a lot of research for the clients. Demanding for videos on demanding OTT platforms; is depending to stay ahead of all the games which are being seen in the field. We provide all the different content creators the freedom so that anyone can work for different content and various clients across different sites. There are around 3.6 million people who have joined free plans to a paid subscription.

How OTT Platforms use Data for Personalize

These are all giant seek companies with over 500 million subscriptions that give you a lot of ideas for proportion. The personalization of different content that begins with all the data focus on the following details:

Content Nature:

The content of nature is being seen by different sources. This will identify that generates different content that is being watched by all the other users across the globe.

Ratings:

The ratings are the major factor for all movies and shows. Ratings are the main determination that helps to get a season or a sequel. This can also help to create content that needs to understand all the specific clients.

Location:

There are important platforms that show ads and recommendations in all the local languages. This can help in increasing the subscriber and subscription both that sets by the companies.

Some important Data-Points:

Some Data points help content that understands the clients. These will help to increase capability in such boundaries. These offer the best job difference to assist across all the industries which need to be targeted.

Conclusion

The road map of OTT platforms depends on long and hard. They need to capture the mindset of most client’s visits. The days which spend on the traditional set-up boxes and all TV cables and channels. OTT and Apps are the procurement scene, and it looks much good in the nearest future. These are the platforms that need to require data that is public.

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What is Scrape YouTube Netflix Tiktok Data Services?

The quality of insights as well as end results of the data application is completely reliant on the data quality and that’s why at iWeb Scraping, we provide the best video app scraping services.

What is Video Streaming?

Video streaming is one kind of media streaming where data from a video file is constantly delivered through the Internet to its remote user. This helps a video to get viewed online without getting downloaded on the host device or computer.

The market of video live streaming market is increasing at a brisk pace. In 2016, the industry had reached $30 billion and it’s projected to become more than double by 2021 to reach over $70 billion. Around 81% of Internet users view live-streamed content. In fact, around 63% of people between 18-34 years age watch live-streaming content on a regular basis. Even older people between 35-54 years are creating as well as using their personal live-stream videos!

Video apps like Amazon Prime Video, HBO Now, Hulu, Movies Anywhere, Netflix, Sony PlayStation Vue, Sling TV, Twitch, YouTube, Philo TV, Sony Interactive, Fubo TV, CBS All Access, Crackle, Vevo, Popcornflix, Viewster, Vimeo, and Hotstar have become very popular for live-streaming videos.

Membership of these video apps provides you access to unlimited movies and TV shows at a monthly price. With these video apps, you can immediately watch as many movies and TV episodes as you want anytime. You can search through the selection of thousands of movie and serial titles. You can search titles and immediately watch them on your Smartphone. You can rate your favorite movies and shows  and Web Scraping Services.

Listing Of Data Fields

At iWeb Scraping, we do Video App Data Scraping by scraping the following data fields’ categories:

         Video Name

         Video Title

         Video URL

         Video Description

         Video Meta Title

         Video Meta Description

         Channel Name

         Total Views

         Likes

         Dislikes

         Share

         Downloads

         Trending

         Subscriptions

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Future Programming Languages 2025 2030

Which is best Future Programming Languages 2025 2030. When programmers are about to start their coding journey, it is difficult to decide on where to start. Here is a list of the future technology programming languages having a high demand in 2025 and 2030. 

What are the Future Programming Languages 2025 2030 technology having a high demand in 2025 and 2030

Swift 

If you are a mobile developer, Swift is perfect for you! Apple developed it for creating IOS and Mac OS Applications. it remains one of the most in-demand languages of 2021 and will continue to have a high demand in 2025 and also 2030.  Swift is also easy to learn and supports almost everything from objective-C. It is a general-purpose, multi-program compiled programming language. It's Mac-base and if you become good with it, then it's easier to make more money than Android developers. Swift is fast, efficient, secure, enables a high level of interactivity by combining forefront language features. It is a general-purpose programming language built using a modern approach to safety performance and software design patterns. The goal of the swift project is to create the best language for users ranging from systems programming to mobile and also desktop apps scaling up to cloud services. Companies using Swift- Apple, Lyft, Uber.  Python 

Python is undoubtedly a Powerhouse. Its applications extend in many domains like web development, data science, data visualisation, machine learning, artificial intelligence web scraping and also others. It is one of the most popular languages and it is very easy to learn with a vast community and many open source projects. The drawbacks are mainly its slow interpretation since it is a high level language. Python is on top of the job demands and also it has the highest average wages in the tech industry. It is easy to learn. This programming language is great for beginners. It is often use as a scripting language for web applications. Python is the lingua franca of machine learning and also data science. Python's popularity Rose by 3.48% which is very impressive. In Python,  coding are the dynamic type. In coding, you don't need to declare the type of variable. The syntax of python is easy to remember, almost similar to human language. Companies using Python- Instagram, Amazon, Facebook and Spotify.  Java 

Firstly, Java is the leading enterprise programming language at the moment. Java will also be high in demand in 2025 and 2030. It is a general-purpose language use for web pages, and much more and also is the Android dominant language, and it is powerful. It supports distributed computing and multi-threading. And also It is very secure, and it Moves the biggest Enterprises and data centers globally. Today 15 billion devices run Java, and it is being use by 10 million developers worldwide. It is freely accessible and we can run it on all the platforms of the operating systems. Java is best for embedded and also cross-platform applications. Java has a larger number of frameworks and has long lines of code. It is use to develop desktop and mobile applications, big data processing, embedded systems, and so on.  Companies using Java- Uber, Netflix, Instagram, Google Kotlin 

The effortless interoperation between Java and Kotlin Android development is faster and also enjoyable. Scotland addresses the major issues that surfaced in Java,  developers have rewritten several Java apps in Kotlin. The syntax is easy to learn for beginners and also it offers a host of powerful features. It can be a great language to upskill for experienced programmers. It has a Shallow learning curve especially if you have experience in Python or Java. Kotlin is a cross-platform, statically typed, general-purpose programming language with Type inference. It is develop to inter-operate completely with Java. Recently, Google announced that Android development will be increasingly Kotlin- first and that many top apps have already migrated to Kotlin.  Companies using Kotlin- Courser, Uber, Pinterest.  JavaScript

It is the most popular language according to a Stack overflow survey. It is widely know for adding interactive elements to web applications and also browsers. JavaScript is the ultimate language of the web. Almost every web and also mobile application run JavaScript. Since it is a client-side language, many simple applications don't need server support and in the case of complex applications, it produces a server load. There is an insane growth in the usage of this language as well. And also It is also the foundation of most libraries and frameworks for the web surcharge React, Vue and Node. It can run inside nearly all modern web browsers. It is a programming language used primarily by web browsers to create a dynamic and also interactive experience for the users.  Companies using JavaScript- PayPal, Google, Microsoft  Rust 

Rest is a multi-paradigm programming language focused on performance and safety. Rust is syntactically similar to C++. It offers the safety of memory with no use of garbage collection. Rust has great documentation. A friendly compiler with useful error messages and top-notch tooling- an integrated package manager and also build tool. Rust is the language of the future. And also It is the most loved language and one of the highest paying languages in the world. It empowers everyone to build reliable and efficient software. It has the speed and also low-level access of languages like C/C++  with memory security like modern languages. This programming language can run on embedded devices. Rust can easily integrate with other languages. Hundreds of companies Around The World are using rust in production today for fast, low-resource, cross-platform solutions. Companies using Rust- Dropbox, Figma, Discord C++

Firslty, It is a powerful general-purpose programming language. It can develop operating systems, browsers, games, and so on. C++ supports different ways of programming like procedural, object-oriented, functional, and so on. This makes C++ powerful as well as flexible. C++  is old but gold. It is highly use for professional software game development and also high-performance applications. This includes machine learning. It gives programmers a high level of control over the system's resources and memory. We can find this language in today's operating system, graphical user interface, and also embedded systems. It is close to C# and Java;  it makes it easy for programmers to switch to C++ or vice versa. And also was develop as an enhancement of the C language to include an object-orient paradigm.  Companies using C++ - Evernote, Microsoft, Opera, Facebook PHP PHP is a popular general-purpose scripting language that is especially suit for web development. Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world. Statistics show that 80% of the top 10 million websites. It creates, reads, opens, deletes, and also closes files on the server. It controls user access and also encrypts data. A wonderful benefit of using PHP is that it can interact with many database languages including my SQL. PHP is free to download and use. And also It is powerful enough to be at the core of the biggest blogging system on the web- WordPress! It is compatible with almost all servers use today like Apache, IIS, and others. It is deep enough to run the largest social network- Facebook. PHP can be easily embed in HTML files and HTML code can also be write in a PHP file.  Companies using PHP- Facebook, Tumblr, Etsy, WordPress C#

C-Sharp is a programming language developed by Microsoft. It runs on the .NET framework. It is use to develop web apps, desktop apps, games, and also much more. Microsoft developed C Sharp as a rival to Java. It is highly use in the enterprise environment and also for game development with the Unity engine. C# gives its free hand to create applications not only for Websites but also for mobile applications. Although it has common points with structure programming languages, it is accept as an object-oriented programming language. There are a massive number of out-of-the-box solutions that you can find in this Programming language but not in other programming languages. For example, tools for unit testing, crypto library, Marvellous collections handling and multi-threading.  Companies using C#- CarMax, RTX, Twitch Scala 

Scala is a programming language that combines Object-oriented programming with functional programming. And also It has a strong static type system and is design to be concise. It operates on the JVM. Also, It is a hybrid of two Programming Paradigms. It tries to address all the criticisms of Java, in which you can keep all the Java libraries and all the advantages of the JVM. At the same time, your code is more concise. Scala is oftentimes use in data science. Scala is a very compatible language and can be very easily install into windows and the Unix operating system easily. This language is useful for developers to enhance their business applications to be more productive, scalable, and reliable. There is no concept of primitive data as everything is an object in Scala. It is design to express the general programming patterns in a refine, succinct, and type-safety way.  Companies Using Scala- Netflix, Sony, Twitter, Linkedin

5 Best Practices for Writing Better Code

Naming conventions  In computer programming, a naming convention is a set of rules for choosing the character sequence to be use for identifiers that denote variables, types, functions, and other entities in source code and documentation.   Three Types of naming conventions are: - Camel case -  Pascal case -  UnderScores Commenting   In computer programming, a comment is a programmer-readable explanation or annotation in the source code for a computer program. We all think our code makes sense, especially if it works but someone else might not to combat this, we all need to get better at source code commenting. Indentation  There are no criteria of following any indentation. The best method is a consistent style. Once you start competing in large projects you will immediately understand the importance of consistent code styling.  Follow DRY principle DRY- Don't Repeat Yourself  It should not repeat the same piece of code over and over again.  How to achieve DRY?   To avoid violating this principle, break your system into pieces. Dissect your code and logic. Break them into smaller reusable units. Don't write lengthy methods. Try to divide the logic and use the existing peace in your method.  Follow KIS principle KIS- Keep It Simple  After all, programming languages are for humans to understand, computers can only understand 0 and 1. So, keep coding simple and straightforward.  How to achieve KIS? To avoid violating this principle, Try to write simple code. Think of many solutions for your problem then choose the best simplest one and transform that into your code.  Whenever programmers face lengthy code, convert it into multiple methods, right-click and reactor in the editor. Try to write small blocks of code that do a single task. Recent Articles: Future Programming Languages 2025 2030 Benefits of Using Angular for Web Development 2021 Difference Between C vs C++ vs Python vs Java KALI Linux Not Prefer Software Development Ubuntu Angular 12 Performance Benchmark Install Features Setup Angular 12 vs 11 vs 10 features benchmark How to Write Business Proposal for Client with Sample Format Top 10 Best Coolest Movies Chris Hemsworth of all time Future Programming Languages 2025 2030 - Writer Taniya Patyal Read the full article

[foxpeople477]

Building A Web Scraper

Create A Web Scraper

Web Scraper Google Chrome

Web Scraper Lite

Web Scraper allows you to build Site Maps from different types of selectors. This system makes it possible to tailor data extraction to different site structures. Export data in CSV, XLSX and JSON formats. Build scrapers, scrape sites and export data in CSV format directly from your browser. Use Web Scraper Cloud to export data in CSV, XLSX. It also has a number of built-in extensions for tasks like cookie handling, user-agent spoofing, restricting crawl depth, and others, as well as an API for easily building your own additions. For an introduction to Scrapy, check out the online documentation or one of their many community resources, including an IRC channel, Subreddit, and a. This question is related to link building method i am doing seo for web development company and website has more than 2lac backlinks, majority of backlinks come from social bookmarking, article and press release submission. In this recent penguin 2.0 update, i lost my ranking on majority of keywords. Advanced tactics 1. Customizing web query. Once you create a Web Query, you can customize it to suit your needs. To access Web query properties, right-click on a cell in the query results and choose Edit Query.; When the Web page you’re querying appears, click on the Options button in the upper-right corner of the window to open the dialog box shown in screenshot given below.

What Are Web Scrapers And Benefits Of Using Them?

A Web Scraper is a data scraping tool that quite literally scrapes or collects data off from websites. Microsoft office for mac catalina. It is the process of extracting information and data from a website, transforming the information on a web-page into a structured format for further analysis. Web Scraper is a term for various methods used to extract and collect information from thousands of websites across the Internet. Generally, you can get rid of copy-pasting work by using the data scrapers. Those who use web scraping tools may be looking to collect certain data to sell to other users or to use for promotional purposes on a website. Web Data Scrapers also called Web data extractors, screen scrapers, or Web harvesters. one of the great things about the online web data scrapers is that they give us the ability to not only identify useful and relevant information but allow us to store that information for later use.

Create A Web Scraper

How To Build Your Own Custom Scraper Without Any Skill And Programming Knowledge?

Modern post boxes uk. Sep 02, 2016 This question is related to link building method i am doing seo for web development company and website has more than 2lac backlinks, majority of backlinks come from social bookmarking, article and press release submission. In this recent penguin 2.0 update, i lost my ranking on majority of keywords.

Web Scraper Google Chrome

If you want to build your own scraper for any website and want to do this without coding then you are lucky you found this article. Making your own web scraper or web crawler is surprisingly easy with the help of this data miner. It can also be surprisingly useful. Now, it is possible to make multiple websites scrapers with a single click of a button with Any Site Scraper and you don’t need any programming for this. Any Site Scraper is the best scraper available on the internet to scrape any website or to build a scraper for multiple websites. Now you don’t need to buy multiple web data extractors to collect data from different websites. If you want to build Yellow Pages Data Extractor, Yelp Data Scraper, Facebook data scraper, Ali Baba web scraper, Olx Scraper, and many web scrapers like these websites then it is all possible with AnySite Scraper. Over, If you want to build your own database from a variety of websites or you want to build your own custom scraper then Online Web Scraper is the best option for you.

Build a Large Database Easily With Any site Scraper

In this modern age of technology, All businesses' success depends on big data and the Businesses that don’t rely on data have a meager chance of success in a data-driven world. One of the best sources of data is the data available publicly online on social media sites and business directories websites and to get this data you have to employ the technique called Web Data Scraping or Data Scraping. Building and maintaining a large number of web scrapers is a very a complex project that like any major project requires planning, personnel, tools, budget, and skills.

Web scraping with django python. Web Scraping using Django and Selenium # django # selenium # webscraping. Muhd Rahiman Feb 25 ・13 min read. This is a mini side project to tinker around with Django and Selenium by web scraping FSKTM course timetable from MAYA UM as part of my self-learning prior to FYP. Automated web scraping with Python and Celery is available here. Making a web scraping application with Python, Celery, and Django here. Django web-scraping. Improve this question. Follow asked Apr 7 '19 at 6:14. User9615577 user9615577. Add a comment 2 Answers Active Oldest Votes. An XHR GET request is sent to the url via requests library. The response object html is. If your using django, set up a form with a text input field for the url on your html page. On submission this url will appear in the POST variables if you've set it up correctly.

Jul 10, 2019 The Switch itself (just the handheld screen) includes a slot for a microSD Card and a USB Type-C Connector. The Nintendo Switch Dock includes two USB 2.0 Ports and a TV Output LED in the front. The 'Switch tax' also applies to many games that had been previously released on other platforms ported later to the Switch, where the Switch game price reflects the original price of the game when it was first released rather than its current price. It is estimated that the cost of Switch games is an average of 10% over other formats. Get the detailed specs for the Nintendo Switch console, the Joy-Con controllers, and more. Switch specs. The S5200-ON is a complete family of switches:12-port, 24-port, and 48-port 25GbE/100GbE ToR switches, 96-port 25GbE/100GbE Middle of Row (MoR)/End of Row (EoR) switch, and a 32-port 100GbE Multi-Rate Spine/Leaf switch. From the compact half-rack width S5212F-ON providing an ideal form factor. Switch resistance is referred to the resistance introduced by the switch into the circuit irrespective of its contact state. The resistance will be extremely high (ideally infinite) when the switch is open and a finite very low value (ideally zero) when the switch is closed. 2: Graph Showing Typical Switch Resistance Pattern.

Web Scraper Lite

You will most likely be hiring a few developers who know-how to build scale-able scrapers and setting up some servers and related infrastructure to run these scrapers without interruption and integrating the data you extract into your business process. You can use full-service professionals such as Anysite Scraper to do all this for you or if you feel brave enough, you can tackle this yourself.

Apr 15, 2021 Currently, you cannot stream Disney Plus on Switch, however, there is a piece of good news for Nintendo Switch users. It seems that Disney lately announced that Disney Plus streaming service will be accessible on Nintendo’s handheld console. The news originates from a presentation slide revealing the new streaming service available on consoles. Disney plus on switch. Mar 15, 2021 Though mentioned earlier, Disney Plus is available on few gaming consoles. Unfortunately, it is not available on Nintendo Switch as of now. Chances are there to bring it in on the future updates as Nintendo Switch is getting popular day by day. Despite the own store by Nintendo switch, it has only a few apps present. No, there is no Disney Plus app on the Nintendo Switch. If you want to stream movies or shows on your Switch, you can instead download the Hulu or YouTube apps. Visit Business Insider's homepage. Nov 30, 2020 Disney Plus is not available on the handheld console. The Switch only offers YouTube and Hulu as of now, not even Netflix. This tells us that the Nintendo Switch is indeed capable of hosting a.

[mobileapp14]

How to Extract Insights from OTT Media Platforms: A Guide to Data Scraping?

Mobile App Scraping offers OTT Media Platform Data Scraping Services to extract data from popular OTT Media Platforms such as Netflix, Amazon Prime Video, Hulu, and Disney+ Hotstar and more.

know more: https://www.mobileappscraping.com/extract-insights-from-ott-media-platforms.php

[shirlleycoyle]

Netflix’s ‘The Great Hack’ Misses The Big Picture

“Who has seen an ad that has convinced you that your microphone is listening to your conversations?” David Carroll asks his students at the beginning of The Great Hack, Netflix’s new documentary about data privacy and online disinformation. Carroll chuckles nervously as almost every hand in the classroom shoots up.

The response is unsettling, but maybe not so surprising—a fitting introduction to a story about Cambridge Analytica, the now-infamous firm that provided the Trump campaign with ad-targeting data during the 2016 election. The company, as we now know, scraped Facebook quiz data to construct millions of psychographic profiles, which it then used to hyper-target voters with custom-made campaign ads. As whistleblower Christopher Wylie succinctly puts it later in the film, Cambridge Analytica isn’t a data science firm, but a “full-service propaganda machine.”

But while The Great Hack’s narrative about privacy and information warfare will be eye-opening to many, it largely fails to illustrate the bigger picture. The real “great hack” isn’t Cambridge’s ill-gotten data or Facebook’s failure to protect it. It’s the entire business model of Silicon Valley, which has incentivized the use of personal data to manipulate human behavior on a massive scale.

*

A few years before anyone had heard the name Cambridge Analytica, former Harvard Business School professor Shoshana Zuboff coined a term for this phenomenon: Surveillance Capitalism. As she defines it, Surveillance Capitalism is an economic “logic of accumulation” that involves extracting personal data in often-unrecognizable ways, creating “new markets for behavioral prediction, modification, and control” that exploit this data as its primary resource.

In other words, it’s the entire M.O. of companies like Facebook and Google, which depend on users providing a constant stream of photos, likes, and other useful data that can be used to map relationships, measure emotional responses, and yes, serve ads. And when it comes to ads, the holy grail of advertising is having the ability to predict peoples’ behavior—and thus, manipulate it.

Consider this quote from Zuboff’s 2015 paper, which is attributed to an anonymous data scientist at an unnamed Silicon Valley company:

“The goal of everything we do is to change people’s actual behavior at scale. When people use our app, we can capture their behaviors, identify good and bad behaviors, and develop ways to reward the good and punish the bad. We can test how actionable our cues are for them and how profitable for us.”

As a writer and educator who has covered privacy for over a decade, I consider this quote the perfect summation of the Silicon Valley mindset. It’s my go-to reference when someone tells me that they’re creeped out by government surveillance, but totally fine with corporations like Amazon and Facebook collecting their data. Nefarious government programs like face recognition and predictive policing don’t just come out of the ether. They are an inevitable consequence of a system that incentivizes the endless accumulation of data for profit, which in turn fuels the machinery of government surveillance that is frequently wielded against immigrants, activists, and other marginalized groups.

When Cambridge Analytica came under the media spotlight, I hoped that maybe it would start a conversation about the surveillance industrial complex and the underlying capitalist structures that drive it. But The Great Hack focuses most of its running time on dissecting the symptoms: Specifically, how a company came to possess the terrifying power to sway elections, and how Facebook failed to stop it.

In one sequence, Brittany Kaiser, a dubiously-motivated former Cambridge executive and one of the film’s main subjects, explains how the company’s propaganda machine worked. It would first target “persuadables,” people whose psychographic profiles suggested they were open to suggestion. Once their specific triggers were identified, content was tailor-made to target their deepest fears and insecurities. “We bombarded them with ads,” Kaiser says in a voice-over, “until they saw the world the way we wanted them to. Until they voted for our candidate.”

The Great Hack / Netflix

Naturally, the film’s main antagonist is Cambridge Analytica CEO Alexander Nix. He’s an undeniably sketchy dude, and the film shows him giving statements that are later contradicted by Kaiser and others, dodging media questions, and caught on hidden camera bragging about his conquests—including offering to use sex workers to entrap and discredit political opponents. We watch him squirm in hearings before the UK Parliament, where he is grilled about how his company’s manipulations scored victories for both the Trump campaign and the far-right Brexiteers, who first set in motion the U.K.’s tortuous departure from the European Union.

We then see brief clips of members of Congress tsk-tsk’ing Mark Zuckerberg about Facebook’s failure to prevent the whole debacle—to which Zuckerberg offers his standard, now-meaningless lines about being “very sorry” and promising to “do better.” But unlike Nix, the film seems to assume some amount of good faith in Zuckerberg, and in the tech industry as a whole.

In one scene toward the end of the film, Guardian journalist Carole Cadwalladr, who reported heavily on the Cambridge Analytica story, takes to the TED stage to confront Zuckerberg, Jack Dorsey, and other tech leaders. Addressing “the gods of Silicon Valley,” she pleads with them to consider the harm they’ve done, and change their ways for the sake of democracy.

“This technology that you have invented has been amazing, but now it’s a crime scene, and you have the evidence,” says Cadwalladr. “And it’s not enough to say that you will do better in the future.”

The clip is intended as an empowering moment. We see a journalist speak truth to power and demand accountability from the tech platforms that mediate our world. But Cadwalladr doesn’t seem to consider that Silicon Valley titans like Zuckerberg—now a veteran of countless privacy scandals and subsequent apology tours—simply don’t care.

Earlier this month, the Federal Trade Commission hit Facebook with a $5 billion fine for a long history of privacy violations dating back to 2010. While unprecedented, the “punishment” was actually a great deal for the company, which made roughly four times that amount in revenue last quarter. When the judgement was announced, Facebook’s stock price didn’t even take a dent—it actually went up.

Even better for Facebook, the fine effectively absolved the company and its executives for nearly a decade’s worth of privacy debacles and deceptive practices—including allowing Cambridge Analytica to harvest data from 87 million people.

Surveillance Capitalism is the business model of Silicon Valley. If endless accumulation of data is the central logic of the industry, can we really expect anything to meaningfully change? Instead of asking how Facebook should be punished, shouldn’t be asking whether Facebook should exist at all?

At the conclusion of The Great Hack, it’s ironically Julian Wheatland, Cambridge Analytica’s former CEO, who touches on what should be the film’s central tragedy: that this whole disaster was hard-coded into the very system that gave birth to modern day Silicon Valley in the first place.

“There was always going to be a Cambridge Analytica,” he confesses to the camera. “It just sucks for me it was Cambridge Analytica.”

Netflix’s ‘The Great Hack’ Misses The Big Picture syndicated from https://triviaqaweb.wordpress.com/feed/

[savetopnow]

2018-03-29 21 TECH now

TECH

Ars Techica

PC Building Simulator is (most of) the fun of building a PC—without pricey GPUs

Facebook will (soon) yank third-party ad data in the name of privacy

Network of fortified towns indicates Amazon was once heavily populated

Google’s Wear OS developer preview gets dark UI, lots of battery savings

Galaxy seems to lack dark matter, stumping astronomers

Buzzfeed Tech

Facebook Must Decide Whether It Will Refurbish Its Facade Or Rebuild Its Service

Julian Assange Just Got His Internet Privileges Revoked

A Friendly Reminder That Instagram Uses All Your Facebook Data

Apple Wants Its New $329 iPad To Lure Students Away From Chromebooks

Google's Waymo Just Unveiled An Electric, Completely Self-Driving Jaguar

CNet

Younger UK viewers watch more Netflix than all of BBC TV - CNET

SF Motors comes out from behind the curtain - Roadshow

Focal's Listen Wireless headphone gets "chic" new colors - CNET

WannaCry ransomware reportedly reappears to strike Boeing - CNET

Uber reportedly settles with family of victim in self-driving car crash - CNET

Clean Technica

Uber Reduced LiDAR Array In Self-Driving Cars From 7 Units To 1 In 2016, Creating Pedestrian Blindspots

Nvidia Suspends Self-Driving Vehicle Testing Due To Uber Pedestrian Fatality

UK Volkswagen Diesel Car Owner Hearing Has Begun

Transport & Manufacturing Sector Emissions In Germany Continues To Rise

SF Motors Offers A Glimpse Into The Future With Its SF5 & SF7 Concepts

Hacker News

Go runtime proposal: Non-cooperative goroutine preemption

Lambda School is hiring Android and Blockchain instructors (remote)

China's defunct space lab expected to re-enter Earth's atmosphere this weekend

The mystery of the three hares (2009)

Lytro is winding down

Mashable

Battered by tourists, the Thai beach from 'The Beach' to close temporarily

Qantas using its cargo hold for sleep and exercise? It's one of many wild ideas

Bumble counters Tinder's parent company lawsuit on patent infringement

Massive solar power project will be 100 times larger than any in the world

New Zealand's privacy commissioner is also done with Facebook

Motherboard

Thousands of Bestiality Users Exposed in Hack

The DEA Says It Wants that New iPhone Unlocking Tool ‘GrayKey’

Ecuador Cut Off Julian Assange’s Internet For His Political Tirades on Twitter

If You’ve Met Aliens While on DMT, These Scientists Would Like to Hear From You

Apple's Position on Privacy Is Paying Off

New York Times Technology

Dropbox Shares Leap in I.P.O., and Silicon Valley Smiles

Executive Who Sold Self-Driving Truck Start-Up to Uber Departs

Tech Fix: Want to Purge Your Social Media Timelines? Can You Spare a Few Hours?

Op-Ed Contributor: Facebook Isn’t Just Violating Our Privacy

The Shift: Can Social Media Be Saved?

Recode

Why every Hollywood movie is a superhero movie

Bumble is suing Match Group for $400 million in damages for stealing trade secrets

Facebook is cutting third-party data providers out of ad targeting to clean up its act

The co-founder of self-driving trucking startup Otto has left Uber

A top exec at GM’s self-driving car company Cruise is out after six months

Reddit Technology

Facebook Funds Campaign to Block a California Data-Privacy Measure

Facebook will no longer allow third-party data for targeting ads

Microsoft's new TOS makes 'offensive language' a bannable offensive.

From 2007-2010 Facebook allowed a website called ProfileEngine to scrape user data, allowing them to steal the details of over 400 million user profiles, all still accessible on their website.

Boeing hit by WannaCry virus, fears it could cripple some jet production

Reuters Technology

UK information commissioner welcomes Facebook move to cut ties to data brokers

How a data mining giant got me wrong

Messaging app Telegram says server power snag affecting service in EMEA

FANG stocks' bite has U.S. fund managers looking for alternatives

China central bank will launch crackdown on virtual currencies

Slashdot

Consumer Genetic Tests May Have a Lot of False Positives

Galaxy Without Any Dark Matter Baffles Astronomers

VR Researchers Manipulate Human Visual System To Create An Infinite Corridor In a Fixed Space

New Deep-Learning Software Knows How To Make Desired Organic Molecules

Verizon Plans To Launch a Palm Smartphone Later This Year

TechCrunch

As UK fires-up private space industry, Space Camp Accelerator launches

1Password nets partnership with ‘Have I Been Pwned’

LinkedIn is introducing auto-playing video ads

SoftBank Group and Saudi Arabia plan to spend $200 billion building the world’s biggest solar power plant

Bumble is suing Match Group for $400M for fraudulently obtaining trade secrets

The Next Web

Telegram is down for many users – go talk cryptocurrency somewhere else

No Man’s Sky to get Xbox One port and major update

Autoplaying video adverts are coming to LinkedIn

Your WhatsApp buddies might be spying on you with this invasive new app

The OnePlus 6 is getting a notch because it ‘just makes sense’

The Verge

Astronomers use artificial intelligence to spot 6,000 new craters on the Moon

Demand good vibrations from your next Android phone

No Man’s Sky is getting its biggest update yet this summer alongside Xbox One launch

This skiing exoskeleton is designed to take the strain off your legs

Facebook will no longer allow third-party data for targeting ads

WSJ Tech

South Korean Insurer Denies Hacked Cryptocurrency Exchange's Claim

Clock Is Ticking Faster at Tesla

Facebook Limiting Information Shared With Data Brokers

Warning Sign: Tech Stocks Are Dominating Global Markets Like Never Before

Apple Faces Multiple Lawsuits Over Slowed-Down iPhones

Wired

The Life Issue

‘The Sky Is Yours’ Combines Dragons and YouTube

The Uber Crash

The Universe Is Basically a Hippie’s Pipe Dream

Raise Your Glasses

[uniquenightmaredream-blog]

Don’t let your business die in COVID-19 economic downturn

by murtazaamin | Jun 3, 2020 | Data | 0 comments

Businesses did what was right due to COVID-19. Shutting down their PoS stores, retail shops, and non-essential deliveries and working from home till the threat was over-was a right decision.  In reality, however, it is like leaping from one stone to another and letting the stones sink as soon as you step on them.  It is what happened with businesses across the world. They wanted their employees to be safe, but instead of that, their business and revenue went for a toss. As I type this, most of the countries in the world are entering into their fifty-fifth day of blanket lockdown and talking about liquid injections or stimulus packages for economic revival.

Be it a mom-and-pop store, an SME, a start-up or a multi-national company- all of are shutting down operations, laying off their employees, cancelling offer letters, leaving employees in the lurch. The businesses don’t know how to sustain through this economic downturn brought on by the pandemic without reducing their operations or strength. Just to put things into perspective, the world hasn’t experienced something like this since the great depression in 1929! But as the noted philosopher and historian Yuval Noah Harari puts it, have faith in human resilience.

First, calling it quits is not an option. You may have to take a few desperate measures now, but it doesn’t mean that it is all over and is the end of the world. The virus has been powerful enough to force the world to its knees, ending the acceleration of travel and hospitality industry or bringing the oil prices to a negative number for the first time – it may have ravaged the world economy. However, it still doesn’t have what you have got! You have ideas. The power to think it all through and to back-track your step to connect the dots which you missed earlier! After all, what’s more human than the fight for survival?

Review. Review. Review.

Nope, it is not a typo. It is to underline the importance of taking a hard look as to where does your business stand. Be it inventory, the cash flow or the data quality your business is relying on- you need to know how it can be improved upon. This economic downturn can be a blessing in disguise for the business processes you have been ignoring so long for the lack of time or some other excuse. Want to build a B2B email list or have been secretly wishing to revamp your big data with data mining techniques, now is the time. Take this economic downturn and turn the tables on it. Use this downtime in business to your advantage and to prepare ahead by taking it head-on. If you wanted to reach out to your customers via email marketing, but couldn’t due to a bad email list, now is the time to put it in a to-do list.

Now is also the time to take a hard look at your business’ data. Each company sits on a massive pile of data. It could be telephonic records, email, visiting cards, leads exchanged during trade conferences and events or the B2C or B2B email list sourced by a third-party vendor. This data could be misrepresented, incorrect or simply messed up in places, rendering your email marketing campaign and promotional activities useless.

Change your revenue model

The traditional store businesses were the worse hit amid this pandemic. Digital businesses, essential or non-essential, however, were connected to their customers. They even come up with a smooth yet brilliant tactic to shop now, buy later tactic to keep registering their presence among their customers. Traditional, brick-and-mortar shops just had to close their shops amid COVID-19 lockdown.  The next step for you is to change the way you see your business. It is time to take a few drastic steps and embrace a digital model to open new possibilities to earn more and never stop the cash flow.

During this COVID-19 lockdown, I have seen some strategic yet make-shift business models where mom-and-pop ‘snacks’ stores or ‘Kirana’ stores have tied up with RWAs of societies and arranged for required item. The payment was cashless, and contactless made mainly via digital wallets or net banking. Remember, desperate times call for more inventive measures, and this is what was done! Depending upon the nature of your business, you can too adopt a digital marketing model to reach out to more customers. If you already have a digital model, you would want to tweak it keeping recent changes and the new normal in mind.

Build an email list

The struggle to reach out to your customers when they are spending most of their time doing ‘Netflix and Chill’ or worrying about their finances is real. It becomes even more challenging to convince your customers when you don’t know if you have the right email IDs or not. So, now is the time to adopt data mining services proactively!  

Why do you need data mining, you say?

Data mining helps you in extracting information, processing the data and identifying the useful patterns. Have a look at why a business- be it small or big- needs to deploy data mining techniques.

Data mining services help in capturing large data sets and let businesses drive actionable insights out of it. Each business is driven by data these days, and with manual data scraping, you can keep data that makes sense and leave what doesn’t. If you are building a B2B email list, it verifies if your customers are indeed using those email IDs or have moved on. It lets you protect email sender reputation while enhancing your reach significantly.

Data scrubbing and data verification are an integral aspect of data mining. These clean the data and help you derive information out of it that you can base your decision on. As a result, your marketing team can run a successful email marketing campaign, your sales team can reach out to people efficiently, and the product team can deliver on the dotted line with a product or service that fulfil the expectation of the customers.

With data mining, you run a business thriving on sheer data and its power. You are in a position to decode customer behaviour and derive insights from their purchase journey.

Whether you are a retail store, a real-estate business, a travel agency- time to sow the data is now so that you can reap its benefits later. The excellent news is that data mining isn’t a mango tree, and you could see its result almost immediately with more click-through rates and better reach!

Show courtesy to your customers

Your customers are going through a difficult time as well.  So, be kind to them. Freeletics offered a FREE one-month subscription to facilitate its customers during the lockdown and to promote stay-at-home regulation. Similarly, Spotify and other podcast services extended FREE subscription to the new user. It is not a charity. It is harnessing the goodness so that a brand could attract fence-sitters and later on, convert them into a loyal one. You could have a discount, or trim down the delivery fee or eliminate anything that is a blockade between you and your customer. Once a customer has faith in you and your brand, they will come back to you- irrespective of everything. Offering them extended warranty, easy return policies and guarantee on their purchase can make you a trustworthy choice. The prime example of this would be Hyundai. The car brand launched the Hyundai Assurance Return Program amid 2008 recession and promised its customers that it would buy a recently purchased car back if its customer loses their job. The brand share saw unprecedented growth, and it shouldn’t come as a surprise that they have launched a rehashed version of the same program at present as well.

Reach out differently

You are an offline business, even maybe a mom-and-pop store, but now it is time to make the switch. People are apprehensive about stepping out, so you need to reach out to sustain your business and survive through this pandemic. So, tweak your marketing strategy a bit and move on to digital strategy. You don’t need to have a full-fledged website or a full-blown shopping cart. If you want, you can reach out to your customers with a digital payment wallet or use WhatsApp’s business account services. Zoom, the teleconference app became not only a popular choice among people working remotely but also with teachers and students alike when it offered online classes for free. Similarly, the New York Times acquired an audio app called Audm to extend its base with growing subscribers of podcasts and audiobook narratives.

Starbucks also has twenty-five million reward card users that make this multi-national American coffee house bask in more than $1 working capital. If you have an online presence already but no email marketing campaign in place, initiate it now! Everybody is inside their house, and you have their attention! However, ensure that the data quality of your email list is up to the mark.  Use email data validation and email verification solutions to rely on the data of your customers you have. A study suggests that data mining can help small and mid-size business to identify high-risk clients, improve business processes and make more money. So, before you switch modes, get to the first point and take a hard look (almost like an outsider) if you are ready to earn as well as save money and your business!

Also Read: Guaranteed Ways to Grow Your SME B2B Email List: Tools, Tips and 5 Fool-Proof Solutions

Here’s hoping that these easy yet significant steps would become your stepping stones in these hapless economic times. You don’t have to be aggressive to save your cash flow or revenue but all the more reasonable and prudent with what you have and work within limited resources and restrictions imposed on you. Take this challenge and turn it into an opportunity. Use this downturn and downtime to experiment marketing strategy and acclimatize to the new normal imposed by COVID-19.

[webscreenscraping]

Scrape OTT Media Platform Using Web Scraping

What is OTT Platforms?

There have been massive changes in the platform of OTT. There are many over platforms needed for media services or the apps that we used on mobiles for viewing all the video content. These are the services that are offered to users of the internet. These are the main platforms that have changed in the years. It can be started with Amazon Prime Video Streaming across the world. OTT platforms have changed in such a way that it looks at entertainment. Top on the video demands for the platform that can be used lots of data and can crunch a lot of numbers on different levels so that we can provide perfect content to clients.

There are many platforms like Amazon Prime, Netflix, HotStar is getting scraped, so we are following that process in which you can scrape the data from OTT Media Platforms Crawling. Talking about the data is everywhere and it is used by many companies that will able to make all video content from different clients.

Data Used by OTT Users

Many OTT media platforms provide data. Many examples if you have finished watching all your important shows, that’s the reasoning engine required similar shows. That means platforms and algorithm needs to be designed to suggest the same viewers to content.

Here are 5 main Followed Platforms:1.Identification & User Segmentation:

Platforms always need to stay ahead. So they need to show them what the next plan is. Many platforms show that the clients are having different offers and discounts that can use for a subscription. There are many unique platforms for all clear users. Users can also choose the plan of their choice and can avail of discount coupons for the same.

2.Lifetime Value of Each User:

Cross-selling is something that can help people to look forward. E.g. Amazon is providing prime membership along with Amazon music and all the other best offers along with the subscription. This will help to increase loyalty regarding the brand and shows interest in longer services. Data analytics can help in many ways like you can identify user trends and you can manage an organization or you can showcase cross-selling promotions to all the related users.

3.Experience Enhancement Users:

They are providing all the personalized that can give a recommendation to all the users they have completed watching all the different shows or channels. Data helps to organize, find, and predict all the recommendations to users. This will help you to increase the large number of variations on the platforms and you can easily able to make unique content.

4.Targeting Advertisement:

This is the complete process which requires from all the different sources. Web Scraping Services is the process that provides quality data to all the companies. The advertisement has to run that promotes different content that provides all different OTT platforms. It helps to increase content views and subscriptions too. Advertisement is a very important and creative source that can immediately help to sign-ups all the various platforms, it can also help to find out all potential customers for different platforms.

5.Accurate Predictions:

Many offers and sales are there for a subscription that can help to boost the sale of subscription plans that is offered by OTT platforms. Web Scraping Data is useful in many such cases where the data is given priority to organize to make deep analysis statistics over the valuable information for giving data.

Customers Success and Insights

It helps to collaborate all the approaches that can understand all the requirements in the terms of different sources of the data, the volume of data, the data models, velocity of data, and variety of data. Using different inputs, an organization like Amazon Prime, Netflix, Hot Star, will able to create a large impact on the enterprise level. It can also create a pipeline for all the business intelligence once the analysis is done.

Being the Pioneer

Companies like Amazon Prime, Netflix, Hot Star, do a lot of research for the clients. Demanding for videos on demanding OTT platforms; is depending to stay ahead of all the games which are being seen in the field. We provide all the different content creators the freedom so that anyone can work for different content and various clients across different sites. There are around 3.6 million people who have joined free plans to a paid subscription.

How OTT Platforms use Data for Personalize

These are all giant seek companies with over 500 million subscriptions that give you a lot of ideas for proportion. The personalization of different content that begins with all the data focus on the following details:

Content Nature:

The content of nature is being seen by different sources. This will identify that generates different content that is being watched by all the other users across the globe.

Ratings:

The ratings are the major factor for all movies and shows. Ratings are the main determination that helps to get a season or a sequel. This can also help to create content that needs to understand all the specific clients.

Location:

There are important platforms that show ads and recommendations in all the local languages. This can help in increasing the subscriber and subscription both that sets by the companies.

Some important Data-Points:

Some Data points help content that understands the clients. These will help to increase capability in such boundaries. These offer the best job difference to assist across all the industries which need to be targeted.

Conclusion

The road map of OTT platforms depends on long and hard. They need to capture the mindset of most client’s visits. The days which spend on the traditional set-up boxes and all TV cables and channels. OTT and Apps are the procurement scene, and it looks much good in the nearest future. These are the platforms that need to require data that is public.

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What is Stan and Presto Website Data Scraping Services?

The quality of the data, and the end outcomes of the data application, are entirely dependent on the research quality, which is why we offer the best Netflix AU, Stan, and Presto app data scraping services at iWeb Scraping.

About Netflix AU, Stan, and Presto

Netflix is a video streaming service that allows members to watch a wide range of TV shows, movies, series, and documentaries while being linked to thousands of other Netflix customers. Netflix allows you to watch an endless amount of content without interruptions or advertisements.

Netflix has played an important role as a producer and distributor of films and television series, and as a result, Netflix can offer a wide range of films and television shows from its collection. Netflix had released 126 original programs and films by 2016 and was used in 190 countries, which is a tremendous milestone for Netflix. Many video streaming apps, such as Amazon Prime, Hot Star, Netflix, YouTube, HBO Now, and others, have become quite popular for live streaming videos in a very short time and Web Scraping Services.

Presto was an Australian media streaming service that promised subscribers unrestricted access to a selection of films and, starting in 2015, TV series. Presto offered three different subscription options: Presto Movies, Presto TV, and the Presto Entertainment package.

Stan began as a collaboration between two legacy media businesses, Nine Entertainment and Fairfax Media, who both sensed an epoch-shifting change in the air and decided to join forces.

Each invested $50 million in the start-up business StreamCo, which would run the service, in 2014. Stan's ownership structure was simplified in 2018 when Nine purchased Fairfax in its entirety.

These are the fields that Netflix AU Data Scraping, Stan and Presto Data Scraping Services are extracting. We'll use our web scraping skills to scrape the Netflix Data Scraping Services, also Stan and Presto Data Scraping services and you'll acquire all the data you need for Netflix AU, Stan and Presto without having to use any APIs. This allows us to extract the Scraping Netflix AU Data fields based on the needs of the clients.

Data Fields Of Scraping Netflix AU, Stan, And Presto

At iWeb Scraping, we scrape the following data fields:

         Video Name

         Video Title

         Video URL

         Video Description

         Video Meta Title

         Video Meta Description

         Dislikes

         Shares

         Total Views

         Subscription

         Downloads