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mobileapp14 · 1 year ago

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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

#ScrapeStreamingAppsData #ExtractStreamingAppsData #StreamingAppsDataScraping #StreamingAppsDataCollection

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mobileappscraping · 2 years ago

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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.

#Scrape OTT Media App Data #Streaming App Data Scraping #Scrape Streaming App Data #OTT Media Platform App Data Scraping

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irarelypostanything · 4 years ago

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The State of Technology Today

In old science fiction, they described the Internet (even before the Internet was invented) as a landscape you would plug into and get a rush from - my favorite book on the subject is Neuromancer. Maybe you’d plug something into your brain, and then there would be so much information that you would get high on it.

The Internet now is really not that far off from the science fiction fantasy, it’s just more integrated with reality. You go on the phone while waiting for the bus, and you’re there. You record something happening now onto your Facebook live, and you’re there. It’s not quite so interesting to talk about cyberspace as a literal space because we don’t fade to black and transfer our consciousness to the net, like we would in this fantasy, but in a sense the brain does similar things. Inside the net, our minds go into a different mode of thinking. We quickly open links, instead of linearly processing information like we would while reading a book. We see things differently...people become a front-facing entity we can interact with, and a backend we don’t see.

I wish I could refer to this imaginary cyber universe as The Matrix, but unfortunately someone already copyrighted that term. I’m just going to keep calling it FIGNATIA (Facebook, Instagram, Google, Netflix, Apple, TikTok, Intel, Amazon) until it catches on. Even when it doesn’t, I’m going to keep calling it that.

FIGNATIA is the world we enter when we turn on anything that gets us into the net. FIGNATIA is accessible on a phone, a laptop, even a Kindle. And FIGNATIA, in this day and age, is where most of us choose to spend most of our waking moments.

Is it bad? I don’t think so, but there’s certainly something a little bit terrifying about it. In this imagined world, we have a separate entity that’s like us, but not us. It’s a series of attributes, the presence we create every time we like, share, write, or post something. We’re creating a persona for ourselves, and even when we project it via a conference video or a picture, it’s still not REALLY us. It’s as authentic as we can make it, but it’s still just far enough from real to serve as something of a mockup.

View Facebook in developer mode, and you can see the JSON-like attribute structure that makes up every person. Hit “view source” on a website, and you can see portions of the frontend code that render a website. Unless you’re an app developer or a data scientist, you’re not going to get much out of this except the ability to to remember passwords you forgot and bypass certain payment walls (or, in my case, briefly pretend I’m Neo in The Matrix)...but as a metaphor, I find it interesting.

Many of these things, like software objects or whatever the f*** it is JavaScript decided to use, have an outward-facing component. That’s our world - it’s an image that makes comments, a username we talk to, a bunch of pictures. Underneath that, in the background, are all the many pieces of related information that develop as we go about our lives in FIGNITIA. They have metadata. They don’t just track what we post, they track the locations, the times, the many other related pieces of data. With this information at their disposal, FIGNITIA attempts to predict the future by influencing it - it determines what we’re likely to want next, how long we want it for, where we’re going.

And someone like me will act like we’re above all this by seemingly making nothing secret, and by sharing thoughts like this with the world...security by obfuscation, we might say...no one can find anything on me if they have to navigate through a deluge. But then tracking tools exist. Run Tumblr through some tools that leverage the API, and you can tease out specific details. In the same way, websites that cannot seem to be shut down exist that scrape addresses, simply by using associated information.

I think. I never figured out how some of these tools work, and why they’re legal.

FIGNITIA exists in a feedback loop. We compete for approval, for attention, and the data this provides is enough to make a person feel high. Briefly. The amount of pleasure created is so brief, and so fleeting, that we keep finding ourselves drawn back.

And, again...nothing is wrong with this. But it’s not reality. What I write here is still coming from me, but it’s not EXACTLY the cadence of how I interact in real life. The picture I post may be as close a representation of reality as modern technology can create, but it’s still not QUITE real. Recording serves as a way to document history, but at what point do we record excessively? At what point do we find ourselves traveling to landmarks for the pictures, instead of to behold the view?

Reality, in that sense, can quickly feel more like a recording effort than like a series of experiences to enjoy, or at least to live through. The problem with this virtual reality isn’t that it’s bad or overly addictive, but that it seems so close to reality that the two images become immistable.

We all have the ability to unplug, at any moment we want to, and that’s why there’s nothing inherently bad about the software world we have created. It marks people safe in natural disasters, creates no shortage of minable data we can exploit in order to determine trends, allows us to investigate things in ways most people don’t even know are possible by combing data they don’t even remember creating. The net is beautiful, in that sense - for advertising, for helping to make business transactions, for forming a brand on the skills in our respective fields we wish to market. The net is great. I cannot even remember what life was like before we had a high-speed connection.

But it seems we live so many times in it, from the latest TV series to the newest news article to the last thing suggested to us by an algorithm passively harvesting the information we provided. And sometimes it feels wrong, but I don’t know why. There’s no patience in it. In the net, time passes differently.

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steadyllamaphilosopher · 5 years ago

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Big Data Hadoop online training course provides you knowledge and skills to become a successful Hadoop Expert. With Spark Databox’s Big data Hadoop certification training, you will be able to master HDFS, MapReduce, Hive, and more by working on real-time Big Data Hadoop Projects.

What are the benefits of taking up Big data online course?

Big data keeps getting bigger and more valuable. Some businesses housed data before they could exploit it, and presently they are receiving the honor.

The truth is that big data will proceed to grow. Whether your data is in a spreadsheet, a database, a data storehouse, the open-source data systems like Hadoop, you require the adaptability to relate to data and solidify it soon. Whatever might be the size, it is the systems of accumulating, and specially leverage your important data.

When you considered big data couldn’t grow any bigger, it got more significant, however. Despite its original size, big data is proving its worth. Organizations hold big data of every form and size. They understand the value, the occasion, and the necessity to pay respects. It has become evident that big data will outlast for those who overlook it.

Businesses that have already domesticated big data — the multi-structured volume they collected before they understood its value — are increasing their operational performance, improving their resources, and enabling new business paradigms.

Let us have a report of different platform usage of data for a minute:

· Google carries 4,497,420 searches

· Youtube users view 4,500,000 videos

· Twitter users post 511,200 tweets

· Instagram users post 277,777 tales

· Skype users make 231,840 calls

· Uber users take 9,772 drives

· Netflix users stream 694,444 hours of video

· Giphy toils up 4,800,000 gifs

· Airbnb books 1,389 reservationsTinder users swipe 1,400,000 times

· Twitch users view 1,000,000 videos

American broad spectrums of data usage per minute are as follows:

· Americans do use 4,416,720 GB of internet data every minute, where:

· Emails – There are 188,000,000 emails sent every minute

· Texts – There are 18,100,000 texts sent every minute

· Downloads – There are 390,030 apps downloaded every minute

Can you even tend to imagine an infrastructure proficient at managing any of these infographics?

This computation is very hard to understand.

Beyond all, the amount of internet users is still growing day by day, with a rate of 10%, which shows that the current ratio of data generation is still scraping the cover of its conclusive potential.

With Spark Databox, one of the leading online training platforms, you can gain useful information about big data and the entire big data value chain. Visit the below link for Spark Databox big data Hadoop online training course.

https://sparkdatabox.com/courses/big-data-and-hadoop-for-beginners

Our website: https://sparkdatabox.com

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email: [email protected]

#Hadoop online training big data Hadoop online training big data online course big data online training Hadoop certification training Hadoop

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itonlinetraininginusa · 2 years ago

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10 Real-World Examples of Python Applications in Business:

Software is essential to the smooth operation of every sector, including banking, healthcare, the military, research, and many more. Many programming languages make the task of developing software easier. Python is one of them, and online courses have become the most popular programming language. According to a survey, more than 50% of developers choose python course online and learn python as their primary coding language. Machine learning, data science, and artificial intelligence innovation have all been led by Python. The top 10 Python applications in the real world are listed below in detail:

Web development:

One of Python's most astounding applications is this one. The reason for this is that Python offers a variety of frameworks and many more that make it easy for developers. Python also has built-in modules and tools that simplify the web-building process. Python's use for web development also results in stunning visualization, ease of development, improved security, and a quick development cycle.

Artificial intelligence and machine learning:

Python is capable of performing calculations that are essential for creating machine learning models. It has significant uses in machine learning techniques and is reliable and safe. Python apps for creating ML algorithms are simple and useful for many developers. Python is also excellent for sophisticated computing, text and data processing, picture recognition, and other AI-related applications.

Desktop GUIs:

Developing a desktop GUI is one of the most popular uses of Python. You are aware that the programming language Python is easy to learn, stable, open-source, and platform-independent. These elements favor its usage in creating desktop graphical user interfaces. The development of desktop applications also uses Python.

Web scraping applications:

It alludes to the massive amounts of data businesses scrape to obtain customer information and make profitable judgments. Python programming allows for the creation of web scraping programs using a variety of techniques. Python excels in creating programs that can process enormous amounts of data, making it the clear champion in the field of web scraping.

Data science:

Data collection, sorting, analysis, and visualization are all part of data science. Python has incredible flexibility for handling sophisticated mathematical calculations and statistics. Data science workers benefit from the convenience of built-in libraries.

Audio and visual applications:

Python's audio and video applications are undoubtedly its most spectacular feature. Python has many tools and libraries to help you do your assignment flawlessly. Python is used to create well-known applications like Netflix, Spotify, and YouTube.

Cad applications:

Computer-aided design, or CAD, is the technique of digitally producing 2D and 3D models. Architects, product designers, and construction managers use this tool to create items with extremely high consistency. It has replaced manual drift.

Software development:

Using Python for software development is one of its main applications. Python online courses make it easier to design sophisticated applications. It is utilized for build control, testing, project management, and support programming. Many institutes provide online python course with placement for you. Amazing aspects of this language include:

Platform independence

Built-in frameworks and libraries for development simplicity.

Improved readability and reusability of the code

Good compatibility

In addition to this, Python provides improved features for working with quickly developing technologies like machine learning and artificial intelligence. It is a popular option for software development because of all these embedded functionalities.

Business applications:

Python is flawless for making high-performance corporate applications because it has incredible security and scalability features. It comes with built-in tools and libraries. Many types of company management software can automate your business process. Financial accounting, sales, CRM, purchasing, shipping, and many other services are all fully linked. It is suitable for designing commercial apps because of all these distinctive qualities.

Education sector:

Python is also employed extensively in creating online educational materials and activities. Learning this programming language is simple for beginners because it has English-like grammar. It makes the learning curve easier by providing a beginner with a standard library and several resources to comprehend the language.

Bottom line:

Python is a highly strong and condensed language that is growing in popularity. Thus learning how to use this tool efficiently will benefit your career.

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webscreenscraping · 3 years ago

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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.

#ott media data scraping #netflix data extraction #amazon data scraping #web screen scraping

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iwebscrapingblogs · 3 years ago

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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

Downloads

Trending

Subscriptions

#VideoAppDataScraping #MobileAppScrapingServices

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mobileapp14 · 1 year ago

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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

#ExtractOttMediaApps #OttMediaAppScraper #OttMediaAppsScraping #OttMediaDataScraping #ScrapeOttMediaData

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infradapt · 4 years ago

Text

Let’s Take a Look at the Data Breaches So Far in 2021

By now, everyone knows that businesses can be defined on how they approach cybersecurity. Unfortunately, even if your business makes a comprehensive effort to protect your network and data from data breaches, all it takes is one seemingly minor vulnerability to be exploited to make things really hard on your business. Let’s take a look at the major data breaches that have happened since the calendar turned to 2021.

January

For the first ten days of the new year, there weren’t any major breaches, but on the 11th:

1/11/21

Parler – The former social media news app, Parler, after being removed from Amazon servers got some more bad news. It had its data scraped by a hacker and resulted in 70 terabytes of information leaked. This included almost every post to the platform, person-to-person messages, and video data. All of Parler’s Verified Citizens, users that have verified their identities with their driver’s license information were exposed.

Facebook, Instagram, and LinkedIn – A Chinese social media management organization called Socialarks suffered a data leak that exposed the PII (Personally Identifiable Information) of at least 214 million social media users from Facebook, Instagram, and LinkedIn. User’s names, phone numbers, email addresses, profile pictures, and more were exposed in the leak.

1/12/21

Mimecast – Cloud cybersecurity company Mimecast had their tools hacked, exposing around ten percent of their customers who currently utilize the Microsoft Office 365 email platform.

1/20/21

Pixlr – The free photo-editing application had the user records of 1.9 million of their users compromised. Data that was leaked included email addresses, usernames, hashed passwords, and other sensitive information.

1/22/21

Bonobos – Seven million customers of men’s clothing retailer Bonobos had their customer data stolen and posted on a hacker forum. Some of the data exposed included addresses, phone numbers, account information, and even partial credit card information.

1/24/21

MeetMindful – MeetMindful is a dating platform that was hacked and had 2.28 million registered users’ personal information posted for free on hacker forums. The data that was exposed includes names, email addresses, location, dating preferences, birth dates, IP addresses and more.

1/26/21

VIPGames – The free gaming platform, VIPGames.com had 23 million records leaked for more than 66,000 users. The cause was explained as a cloud misconfiguration. Leaked user records include usernames, emails, IP addresses, hashed passwords, and the status of user accounts.

1/28/21

U.S. Cellular – After a targeting phishing attack of U.S. Cellular employees, hackers were able to gain access to the company’s CRM that contained almost five million user profiles. U.S. Cellular is the fourth largest wireless carrier in the U.S. and admitted to only having 276 users be victims of the social engineering attempt. Records that were compromised included names, addresses, PINs, cell phone numbers, plan information, and more.

February

2/2/21

COMB – Standing for a “Compilation of Many Breaches”, a database containing more than 3.2 billion unique pairs of cleartext emails and passwords that belonged to past leaks of Netflix, LinkedIn, Bitcoin, Yahoo, and more was discovered available online. In the searchable database, hackers were given access to account credentials, access to 200 million Gmail addresses, and 450 million Yahoo email addresses.

2/10/21

Nebraska Medicine – In the first major medical organizational breach of 2021, Nebraska Medicine was inundated by malware allowing a hacker to access and copy the medical records of over 219,000 patients. Information copied included names, addresses, dates of birth, medical record numbers, health insurance information, lab results, imaging, diagnosis, and more.

2/18/21

California DMV – The California Department of Motor Vehicles was hit with a data breach after one of their contracted companies, Automatic Funds Transfer Services, was hit with a ransomware attack. Information stolen included any CDMV information from the past 20 months including names, addresses, license information, and more.

2/20/21

Kroger – A hack of a third-party cloud provider, Accellion, allowed hackers to steal HR data and other sensitive information from supermarket company, Kroger. Some of the records that were disclosed include names, email addresses, home addresses, phone numbers, Social Security numbers, and health insurance information for pharmacy customers.

2/26/21

T-Mobile – An undisclosed number of T-Mobile customers were affected by hackers using SIM-swapping, a social engineering attack that allows hackers to gain control over a user’s smartphone. This allows them to steal money from their accounts, change passwords to hijack accounts, and even lock users out of their own devices.

March

3/3/21

Microsoft Exchange – A vulnerability found in Microsoft Exchange Server email software allowed hackers to gain access to the email of 30,000 organizations from across the U.S. This allowed hackers to gain complete control over affected systems, allowing for data theft and positioned them well for further compromise. Microsoft has since patched the vulnerability.

3/9/21

MultiCare – A ransomware attack exposed the personal and medical information of over 200,000 patients. The attack provided access to names, policy numbers, Social Security numbers, dates of birth, bank accounts, and more.

Millions of people every year are victims of some type of cyberattack. To keep your organization from dealing with this type of problem, contact the experts at Infradapt today at 800-394-2301 to help come up with a strategy.

https://www.infradapt.com/news/lets-take-a-look-at-the-data-breaches-so-far-in-2021/

#Business Security #cyber security #Cybercrime #Data Breach #Security

0 notes

jjpocketbook · 5 years ago

Text

The Future of Ubersuggest

* Please read the whole post, I have some good news at the bottom, but it won’t make sense unless you read the whole post.

Do you know why I got into SEO?

Not many people know this, but I grew up in middle-class America, and I wanted a better life for me and my parents.

When I was 16 years old, I worked at a theme park called Knotts Berry Farm where I picked up trash, cleaned restrooms, and swept up vomit every single day.

I didn’t mind it because that’s life and I needed the money.

At 16, I realized I was too young to get a high paying job, so I did the next best thing… I started a business.

But making $5.75 an hour picking up trash wasn’t enough to market my business, though. The only solution that I could think of was SEO because if you put in the time and effort you can get the traffic for free.

It’s also the main reason I fell in love with it… it gives the little guy a chance to compete with the big guys.

And over the years I wanted to pay it forward and help out all of the entrepreneurs and small companies so they can do the same… succeed without having to spend a lot of money.

So, what did I do?

Well over the years, I’ve produced a ton of free content, videos, and guides that help entrepreneurs and marketers of all sizes succeed.

And in February 2017, I decided to take it to the next level by acquiring Ubersuggest for $120,000.

When I first bought it, I had the dream of creating an SEO tool that could compete with the big players that charged $100+ a month, but of course, offer it for free.

The developers that I had at that time estimated that I could do this for $30,000 to $45,000 a month. That was perfect as I had no issue losing that much money each month.

But as we got rolling and kept adding in more features, our expenses continually climbed. Just look at what I spent in the last month…

I spent $89,930 on hosting so far in January with an estimated spend of $128,680 for February. But again, let’s stick with January…

My back-end development bill from Tryolabs was $47,885 for January.

My data feed from SEO Power Suite, Data For SEO, and Shared Count totaled $75,253 for January.

And of course, my front-end developers as well as my dev-ops team Netlabs, which ran me $22,700.

Then if you add on miscellaneous costs, such as support, design, and project management, I was out another $11,450.

All in all, I spent $247,218 during the month of January 2020.

Keep in mind that my costs are continually rising. As the tool gets more popular, it costs me more.

One of the big reasons for the server expenses is scrapers.

Believe it or not, a lot of companies are scraping our data and continually rotating up IPs and creating fake accounts, which increases our server expenses. Especially when you consider that they are researching vague SEO terms or domains that aren’t cached in our system.

Don’t feel bad for me

Now the purpose of this post wasn’t to make you feel bad or guilty (unless you are scraping me). I just wanted to be transparent about my situation.

Originally, I was hoping that I could convert a portion of the Ubersuggest customer base into agency clients but as we continually move upstream and work with bigger brands, the conversion rate from an Ubersuggest visitor to a paying consulting customer has been low.

As that didn’t work out the way I wanted, which I learned around 11 months ago, it became harder and harder for me to eat the costs as they continually grew and I didn’t have a way to pay for them other than to dip into my own savings.

So, I started searching for solutions, such as turning Ubersuggest into a non-profit and raise money from foundations to help support the cost. I tried that for 5 months and I didn’t gain much traction.

I also tried to see if I could get sponsors for the tool who would help cover the costs, but that didn’t work out well either. Instead, many of them offered to buy the company for millions of dollars (some in the 8 figures) but I didn’t want to sell it as I knew their goal would be to turn it into another $100-a-month tool, which didn’t sit well with me.

After running out of options, I had no choice but to make some changes to Ubersuggest (don’t worry it is not closing down). But you can guess what the changes are.

But don’t worry…

First and foremost, my goal is still to give as much away for free as I can. Within Ubersuggest, you will still be able to do a lot for free…

Creating projects

You will always be able to create projects and track your rankings. And just like before you always have been limited on the number of keywords you can track and that, of course, is due to costs.

Keyword research

Within the app, you will still be able to see keyword research data.

You’ll see a chart with the latest few months’ traffic volume, data on mobile versus desktop search volume, demographic data, and even keyword recommendations.

And you can, of course, continually find new keywords to target.

Sure, some of the data is blocked, but did you know that only 14.3% of people used to register for a free account to unlock that data.

In other words, most of you never even registered because the application shows you enough for free without needing to log in.

Content ideas

Similar to before, you can also see popular blog post suggestions for any given keyword.

You’ll also be able to see the top keywords a blog post ranks for and the backlinks pointing to that URL.

Again, keep in mind the majority of you only looked at the top 10 results as 14.3% of you registered for a free account to unlock more data.

Traffic Analyzer

You will still be able to look up any domain and get stats on it.

Historical data is blocked, but you can see the last few months which is enough for most of you.

You’ll also be able to see the top pages for any domain and the keywords that page ranks for as well as backlinks.

The same goes for the keywords any domain ranks for.

Some of the data is blocked, but just like before only 14.3% of you registered to view that data. Which means 85.7% of you are happy with the free data.

SEO Analyzer

Not much has changed here, you can still analyze over 100 pages on your site and figure out which errors you have.

Here’s an interesting fact: Did you know the average site that goes through Ubersuggest only has 48 pages?

The median number of pages a site has in our system was similar at 43 pages.

And of course, there is the backlinks report, which now shows new and lost links as well as historical link growth.

Similar to what I mentioned above, very few people really cared to see the blocked off information as only 14.3% of you registered.

My dream

My goal in life is to help people generate more traffic. And I believe Ubersuggest can get better results and give you a fighting chance.

I also want to continually make the tool better. For example, why can’t SEO be automated? If you can have self-driving cars, there is no reason why you can’t automate SEO through artificial intelligence and machine learning.

But with the rising expenses, I was left with 2 options… either shut the tool down (which isn’t an option for me) or figure out a way to cover my expenses.

In the long run, I can’t keep sustaining the loss of $247,218 a month forever, especially when that number is climbing (that’s roughly 3 million dollars a year).

My team and I came up with an interesting concept that we think is fair and hopefully, you won’t be upset about it.

Remember how I said only 14.3% of people register to view more data but 85.7% never register as they were happy with the free data?

Well, nothing will change for 85.7% of you.

As for the 14.3% who register to create projects and track keywords, you can still do that for free. But if you want to add more projects or track a lot more keywords, you can upgrade to a paid plan.

The same goes for keyword research. If you want to view even more data, you can pay for the blocked data. Or if you want to analyze thousands of pages on your site through the site audit, you can also upgrade.

Don’t worry though, I am still following my original mission.

I promise to always keep Ubersuggest affordable (and mainly free). I decided to take the Netflix/Amazon approach and try to make the cost super affordable (as my goal is to only break-even).

On top of that, I made it a 7-day free trial.

You’ll also find that the pricing varies per country as my costs vary per country. In regions like India and Brazil when someone registers, creates a project and tracks keywords, my expenses are substantially lower than if someone from the United States registers and creates projects and tracks keywords.

The same goes for labor. My support team in India and other regions costs substantially less than the team in the United States or the United Kingdom.

If you also pay annually, you’ll get 2 months free so you can save even more money.

And as I mentioned above, I want to stick to the original mission, which is to help people generate more traffic without having to spend a lot of money.

There will always be a very generous free plan and I am hoping that I can break even by charging for a portion of the application.

What’s next?

Ubersuggest is going to continually get better.

To make things up to you, over the next month or two I am going to release a Chrome extension that will give you tons of insights for free. And of course, if you want a little bit more you can pay.

Here’s what the free extension will look like…

Whenever you perform a Google search you will be able to see the volume for any search term in any major country. And if you click the “view all” link you will see more data on that keyword.

You’ll also see the average domain score for any given ranking page and the number of links you need to rank in the top 10.

As you scroll down and go through each of the ranking results, you’ll see the domain score for each URL, social shares, and the backlinks pointing to that search result.

You can even drill down and see the top links pointing to each URL.

Now if you head over to the sidebar, you’ll see a list of related keywords as well as data on the top 10 keyword recommendations.

If you scroll a bit more, you’ll see a graph that shows how many backlinks each result has so that way you can see how many backlinks again you roughly need to rank in the top 10.

At the very bottom of the search results, you’ll see data on related keywords.

As time goes on not only will you have the extension, but I will continually add more and more features for free.

Conclusion

I’m sorry that I have to start covering my costs, but I hope you understand at the same time.

From my projections, it will take me roughly 6 months to break even, so I am going to be out a decent amount of money over the next 6 months… but that’s life.

I am not looking to recuperate my original investment and I don’t mind that being a loss, but once I break even on a monthly basis I will continue to either open up more stuff for free or consider lowering the monthly pricing if possible.

Again, I am really sorry, but I hope you understand that it isn’t sustainable for me to spend $247,218 a month indefinitely.

I am open to hearing your thoughts or ideas. I also want to let you know I appreciate everything you have done to support Ubersuggest and my site.

The post The Future of Ubersuggest appeared first on Neil Patel.

Original content source: https://neilpatel.com/blog/ubersuggest-update/ via https://neilpatel.com

The original post, The Future of Ubersuggest, has been shared from https://imtrainingparadise.wordpress.com/2020/02/18/the-future-of-ubersuggest/ via https://imtrainingparadise.wordpress.com

0 notes

jimmyjohnsmnm · 5 years ago

Text

The Future of Ubersuggest

* Please read the whole post, I have some good news at the bottom, but it won’t make sense unless you read the whole post.

Do you know why I got into SEO?

Not many people know this, but I grew up in middle-class America, and I wanted a better life for me and my parents.

When I was 16 years old, I worked at a theme park called Knotts Berry Farm where I picked up trash, cleaned restrooms, and swept up vomit every single day.

I didn’t mind it because that’s life and I needed the money.

At 16, I realized I was too young to get a high paying job, so I did the next best thing… I started a business.

It’s also the main reason I fell in love with it… it gives the little guy a chance to compete with the big guys.

And over the years I wanted to pay it forward and help out all of the entrepreneurs and small companies so they can do the same… succeed without having to spend a lot of money.

So, what did I do?

Well over the years, I’ve produced a ton of free content, videos, and guides that help entrepreneurs and marketers of all sizes succeed.

And in February 2017, I decided to take it to the next level by acquiring Ubersuggest for $120,000.

When I first bought it, I had the dream of creating an SEO tool that could compete with the big players that charged $100+ a month, but of course, offer it for free.

The developers that I had at that time estimated that I could do this for $30,000 to $45,000 a month. That was perfect as I had no issue losing that much money each month.

But as we got rolling and kept adding in more features, our expenses continually climbed. Just look at what I spent in the last month…

I spent $89,930 on hosting so far in January with an estimated spend of $128,680 for February. But again, let’s stick with January…

My back-end development bill from Tryolabs was $47,885 for January.

My data feed from SEO Power Suite, Data For SEO, and Shared Count totaled $75,253 for January.

And of course, my front-end developers as well as my dev-ops team Netlabs, which ran me $22,700.

Then if you add on miscellaneous costs, such as support, design, and project management, I was out another $11,450.

All in all, I spent $247,218 during the month of January 2020.

Keep in mind that my costs are continually rising. As the tool gets more popular, it costs me more.

One of the big reasons for the server expenses is scrapers.

Don’t feel bad for me

Now the purpose of this post wasn’t to make you feel bad or guilty (unless you are scraping me). I just wanted to be transparent about my situation.

After running out of options, I had no choice but to make some changes to Ubersuggest (don’t worry it is not closing down). But you can guess what the changes are.

But don’t worry…

First and foremost, my goal is still to give as much away for free as I can. Within Ubersuggest, you will still be able to do a lot for free…

Creating projects

You will always be able to create projects and track your rankings. And just like before you always have been limited on the number of keywords you can track and that, of course, is due to costs.

Keyword research

Within the app, you will still be able to see keyword research data.

You’ll see a chart with the latest few months’ traffic volume, data on mobile versus desktop search volume, demographic data, and even keyword recommendations.

And you can, of course, continually find new keywords to target.

Sure, some of the data is blocked, but did you know that only 14.3% of people used to register for a free account to unlock that data.

In other words, most of you never even registered because the application shows you enough for free without needing to log in.

Content ideas

Similar to before, you can also see popular blog post suggestions for any given keyword.

You’ll also be able to see the top keywords a blog post ranks for and the backlinks pointing to that URL.

Again, keep in mind the majority of you only looked at the top 10 results as 14.3% of you registered for a free account to unlock more data.

Traffic Analyzer

You will still be able to look up any domain and get stats on it.

Historical data is blocked, but you can see the last few months which is enough for most of you.

You’ll also be able to see the top pages for any domain and the keywords that page ranks for as well as backlinks.

The same goes for the keywords any domain ranks for.

Some of the data is blocked, but just like before only 14.3% of you registered to view that data. Which means 85.7% of you are happy with the free data.

SEO Analyzer

Not much has changed here, you can still analyze over 100 pages on your site and figure out which errors you have.

Here’s an interesting fact: Did you know the average site that goes through Ubersuggest only has 48 pages?

The median number of pages a site has in our system was similar at 43 pages.

And of course, there is the backlinks report, which now shows new and lost links as well as historical link growth.

Similar to what I mentioned above, very few people really cared to see the blocked off information as only 14.3% of you registered.

My dream

My goal in life is to help people generate more traffic. And I believe Ubersuggest can get better results and give you a fighting chance.

But with the rising expenses, I was left with 2 options… either shut the tool down (which isn’t an option for me) or figure out a way to cover my expenses.

In the long run, I can’t keep sustaining the loss of $247,218 a month forever, especially when that number is climbing (that’s roughly 3 million dollars a year).

My team and I came up with an interesting concept that we think is fair and hopefully, you won’t be upset about it.

Remember how I said only 14.3% of people register to view more data but 85.7% never register as they were happy with the free data?

Well, nothing will change for 85.7% of you.

As for the 14.3% who register to create projects and track keywords, you can still do that for free. But if you want to add more projects or track a lot more keywords, you can upgrade to a paid plan.

Don’t worry though, I am still following my original mission.

I promise to always keep Ubersuggest affordable (and mainly free). I decided to take the Netflix/Amazon approach and try to make the cost super affordable (as my goal is to only break-even).

On top of that, I made it a 7-day free trial.

The same goes for labor. My support team in India and other regions costs substantially less than the team in the United States or the United Kingdom.

If you also pay annually, you’ll get 2 months free so you can save even more money.

And as I mentioned above, I want to stick to the original mission, which is to help people generate more traffic without having to spend a lot of money.

There will always be a very generous free plan and I am hoping that I can break even by charging for a portion of the application.

What’s next?

Ubersuggest is going to continually get better.

To make things up to you, over the next month or two I am going to release a Chrome extension that will give you tons of insights for free. And of course, if you want a little bit more you can pay.

Here’s what the free extension will look like…

Whenever you perform a Google search you will be able to see the volume for any search term in any major country. And if you click the “view all” link you will see more data on that keyword.

You’ll also see the average domain score for any given ranking page and the number of links you need to rank in the top 10.

As you scroll down and go through each of the ranking results, you’ll see the domain score for each URL, social shares, and the backlinks pointing to that search result.

You can even drill down and see the top links pointing to each URL.

Now if you head over to the sidebar, you’ll see a list of related keywords as well as data on the top 10 keyword recommendations.

If you scroll a bit more, you’ll see a graph that shows how many backlinks each result has so that way you can see how many backlinks again you roughly need to rank in the top 10.

At the very bottom of the search results, you’ll see data on related keywords.

As time goes on not only will you have the extension, but I will continually add more and more features for free.

Conclusion

I’m sorry that I have to start covering my costs, but I hope you understand at the same time.

From my projections, it will take me roughly 6 months to break even, so I am going to be out a decent amount of money over the next 6 months… but that’s life.

Again, I am really sorry, but I hope you understand that it isn’t sustainable for me to spend $247,218 a month indefinitely.

I am open to hearing your thoughts or ideas. I also want to let you know I appreciate everything you have done to support Ubersuggest and my site.

The post The Future of Ubersuggest appeared first on Neil Patel.

Original content source: https://ift.tt/2uWvikL via https://neilpatel.com The post, The Future of Ubersuggest, has been shared from https://ift.tt/2HBGIxf via https://ift.tt/2r0Go64

0 notes

marketingcomcaio · 5 years ago

Text

The Future of Ubersuggest

* Please read the whole post, I have some good news at the bottom, but it won’t make sense unless you read the whole post.

Do you know why I got into SEO?

Not many people know this, but I grew up in middle-class America, and I wanted a better life for me and my parents.

When I was 16 years old, I worked at a theme park called Knotts Berry Farm where I picked up trash, cleaned restrooms, and swept up vomit every single day.

I didn’t mind it because that’s life and I needed the money.

At 16, I realized I was too young to get a high paying job, so I did the next best thing… I started a business.

It’s also the main reason I fell in love with it… it gives the little guy a chance to compete with the big guys.

And over the years I wanted to pay it forward and help out all of the entrepreneurs and small companies so they can do the same… succeed without having to spend a lot of money.

So, what did I do?

Well over the years, I’ve produced a ton of free content, videos, and guides that help entrepreneurs and marketers of all sizes succeed.

And in February 2017, I decided to take it to the next level by acquiring Ubersuggest for $120,000.

When I first bought it, I had the dream of creating an SEO tool that could compete with the big players that charged $100+ a month, but of course, offer it for free.

The developers that I had at that time estimated that I could do this for $30,000 to $45,000 a month. That was perfect as I had no issue losing that much money each month.

But as we got rolling and kept adding in more features, our expenses continually climbed. Just look at what I spent in the last month…

I spent $89,930 on hosting so far in January with an estimated spend of $128,680 for February. But again, let’s stick with January…

My back-end development bill from Tryolabs was $47,885 for January.

My data feed from SEO Power Suite, Data For SEO, and Shared Count totaled $75,253 for January.

And of course, my front-end developers as well as my dev-ops team Netlabs, which ran me $22,700.

Then if you add on miscellaneous costs, such as support, design, and project management, I was out another $11,450.

All in all, I spent $247,218 during the month of January 2020.

Keep in mind that my costs are continually rising. As the tool gets more popular, it costs me more.

One of the big reasons for the server expenses is scrapers.

Don’t feel bad for me

Now the purpose of this post wasn’t to make you feel bad or guilty (unless you are scraping me). I just wanted to be transparent about my situation.

After running out of options, I had no choice but to make some changes to Ubersuggest (don’t worry it is not closing down). But you can guess what the changes are.

But don’t worry…

First and foremost, my goal is still to give as much away for free as I can. Within Ubersuggest, you will still be able to do a lot for free…

Creating projects

You will always be able to create projects and track your rankings. And just like before you always have been limited on the number of keywords you can track and that, of course, is due to costs.

Keyword research

Within the app, you will still be able to see keyword research data.

You’ll see a chart with the latest few months’ traffic volume, data on mobile versus desktop search volume, demographic data, and even keyword recommendations.

And you can, of course, continually find new keywords to target.

Sure, some of the data is blocked, but did you know that only 14.3% of people used to register for a free account to unlock that data.

In other words, most of you never even registered because the application shows you enough for free without needing to log in.

Content ideas

Similar to before, you can also see popular blog post suggestions for any given keyword.

You’ll also be able to see the top keywords a blog post ranks for and the backlinks pointing to that URL.

Again, keep in mind the majority of you only looked at the top 10 results as 14.3% of you registered for a free account to unlock more data.

Traffic Analyzer

You will still be able to look up any domain and get stats on it.

Historical data is blocked, but you can see the last few months which is enough for most of you.

You’ll also be able to see the top pages for any domain and the keywords that page ranks for as well as backlinks.

The same goes for the keywords any domain ranks for.

Some of the data is blocked, but just like before only 14.3% of you registered to view that data. Which means 85.7% of you are happy with the free data.

SEO Analyzer

Not much has changed here, you can still analyze over 100 pages on your site and figure out which errors you have.

Here’s an interesting fact: Did you know the average site that goes through Ubersuggest only has 48 pages?

The median number of pages a site has in our system was similar at 43 pages.

And of course, there is the backlinks report, which now shows new and lost links as well as historical link growth.

Similar to what I mentioned above, very few people really cared to see the blocked off information as only 14.3% of you registered.

My dream

My goal in life is to help people generate more traffic. And I believe Ubersuggest can get better results and give you a fighting chance.

But with the rising expenses, I was left with 2 options… either shut the tool down (which isn’t an option for me) or figure out a way to cover my expenses.

In the long run, I can’t keep sustaining the loss of $247,218 a month forever, especially when that number is climbing (that’s roughly 3 million dollars a year).

My team and I came up with an interesting concept that we think is fair and hopefully, you won’t be upset about it.

Remember how I said only 14.3% of people register to view more data but 85.7% never register as they were happy with the free data?

Well, nothing will change for 85.7% of you.

As for the 14.3% who register to create projects and track keywords, you can still do that for free. But if you want to add more projects or track a lot more keywords, you can upgrade to a paid plan.

Don’t worry though, I am still following my original mission.

I promise to always keep Ubersuggest affordable (and mainly free). I decided to take the Netflix/Amazon approach and try to make the cost super affordable (as my goal is to only break-even).

On top of that, I made it a 7-day free trial.

The same goes for labor. My support team in India and other regions costs substantially less than the team in the United States or the United Kingdom.

If you also pay annually, you’ll get 2 months free so you can save even more money.

And as I mentioned above, I want to stick to the original mission, which is to help people generate more traffic without having to spend a lot of money.

There will always be a very generous free plan and I am hoping that I can break even by charging for a portion of the application.

What’s next?

Ubersuggest is going to continually get better.

To make things up to you, over the next month or two I am going to release a Chrome extension that will give you tons of insights for free. And of course, if you want a little bit more you can pay.

Here’s what the free extension will look like…

Whenever you perform a Google search you will be able to see the volume for any search term in any major country. And if you click the “view all” link you will see more data on that keyword.

You’ll also see the average domain score for any given ranking page and the number of links you need to rank in the top 10.

As you scroll down and go through each of the ranking results, you’ll see the domain score for each URL, social shares, and the backlinks pointing to that search result.

You can even drill down and see the top links pointing to each URL.

Now if you head over to the sidebar, you’ll see a list of related keywords as well as data on the top 10 keyword recommendations.

If you scroll a bit more, you’ll see a graph that shows how many backlinks each result has so that way you can see how many backlinks again you roughly need to rank in the top 10.

At the very bottom of the search results, you’ll see data on related keywords.

As time goes on not only will you have the extension, but I will continually add more and more features for free.

Conclusion

I’m sorry that I have to start covering my costs, but I hope you understand at the same time.

From my projections, it will take me roughly 6 months to break even, so I am going to be out a decent amount of money over the next 6 months… but that’s life.

Again, I am really sorry, but I hope you understand that it isn’t sustainable for me to spend $247,218 a month indefinitely.

I am open to hearing your thoughts or ideas. I also want to let you know I appreciate everything you have done to support Ubersuggest and my site.

The post The Future of Ubersuggest appeared first on Neil Patel.

The Future of Ubersuggest Publicado primeiro em https://neilpatel.com

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charlenejpatterson · 7 years ago

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Marketing Day: The consumer mobile journey, Google’s Reach Planner & Facebook news

Here’s our recap of what happened in online marketing today, as reported on Marketing Land and other places across the web.

From Marketing Land:

Brands, please stop ruining the consumer mobile journey with desktop experiences Apr 10, 2018 by Brian Solis Contributor Brian Solis urges brands to prioritize the mobile experience as consumers seek to complete tasks and purchases on their devices.

Does Cambridge Analytica have your info? Here’s how to check Apr 10, 2018 by Amy Gesenhues Facebook is making it easy for users to find out if their data was scraped and is launching a data abuse bounty program to report app developers.

Connect With Peers And The Martech Community Apr 10, 2018 by Marketing Land Join the marketing technology community at MarTech®, April 23-25 in San Jose. You’ll participate in 55+ sessions led by experts from L’Oréal, Donors Choose, Weight Watchers, Netflix, Airbnb, and many others. And beyond sessions, you’ll meet more than 100 leading martech vendors in our Expo hall, gain access to structured and unstructured networking including 2 receptions, networking lunches, speed networking, and more!

Case study: Digital out-of-home and mobile-location deliver offline success for REI Apr 10, 2018 by Greg Sterling Campaign was a collaboration between the retailer, Vistar Media and LiveRamp and delivered 3.6x lift in store visits.

Time for brands to take customer data personally Apr 10, 2018 by Nina Caruso As consumers and regulators increase scrutiny around data, contributor Nina Caruso says there’s an opportunity to adopt a customer-centric approach to privacy while providing personalized experiences.

Already doing SEO? Add these two things to optimize for voice search Apr 9, 2018 by Bryson Meunier Not sure how to optimize your webpage for voice search? Contributor Bryson Meunier lists 12 ‘how-to’ tactics and suggests two of them are the real workhorses in driving traffic to your site.

The new Google AdWords interface is coming soon. Are you ready? Apr 9, 2018 by Mona Elesseily Bagpipe music in AdWords? Contributor Mona Elessily lists pros and cons of the new Google AdWords interface as she sees and hears it.

Google patent on related entities and what it means for SEO Apr 9, 2018 by Dave Davies Contributor Dave Davies pulls key points from a newly awarded Google patent on related entities and points out the ranking benefits of strengthening entity associations in your SEO and link-building efforts.

How to align SEO and sales teams so everyone benefits Apr 9, 2018 by Casie Gillette If your sales and SEO team need a refresher on how to work together, Columnist Casie Gillette has an outline with five communication tips that will get them talking in no time.

The power of podcasting: SEO keyword angles Apr 9, 2018 by Sherry Bonelli In Part 2 of a three-part series, Contributor Sherry Bonelli dives into the details of optimizing a podcast for maximum SEO, link and brand-building benefit.

Google launches Reach Planner for YouTube & video ad forecasting in AdWords Apr 9, 2018 by Ginny Marvin The tool suggests ad format mixes and provides reach estimates based on campaign objectives and budget inputs.

Facebook announces election-based independent research initiative as part of its continuing hearts and minds campaign Apr 9, 2018 by Amy Gesenhues In the last month, Facebook has released a flurry of announcements on its efforts to improve its News Feed, ad transparency and privacy controls for users.

Recent Headlines From MarTech Today, Our Sister Site Dedicated To Marketing Technology:

Oracle adds clouds for analytics, segmentation and loyalty Apr 10, 2018 by Barry Levine The new Oracle Infinity is the company’s first web/app analytics platform, and the new CX Audience and Loyalty clouds boost existing capabilities.

Sendwithus launches GDPR-compliant, cloud-based email CMS Apr 10, 2018 by Robin Kurzer Dyspatch was made specifically to help enterprises manage their transactional emails on a large scale.

Consumer groups file FTC complaint against YouTube for collecting kids’ personal data without parental consent Apr 10, 2018 by Robin Kurzer Twenty-three consumer watchdog groups say Google is not making any effort to comply with COPPA.

Header bidding: The biggest trends for 2018 Apr 10, 2018 by Alex Bornyakov Where are we with header bidding, and what upcoming developments should we prepare for? Contributor Alex Bornyakov offers his perspective.

Online Marketing News From Around The Web:

5 Memorial Day Email Marketing Ideas, Movable Ink Blog

6 Graphic Design Tools for Marketers, MarketingProfs

7 Tips to Improve Your Marketing Technology ‘Request For Proposals’ (RFP), CMS Wire

First look at Instagram Nametags, its clone of Snapchat QR codes, TechCrunch

How to Create Video Ads That Sell, Practical Ecommerce

Instagram Looks Like Facebook’s Best Hope, Bloomberg

Just 53 Australians used Facebook app responsible for Cambridge Analytica breach, The Guardian

Twitter Bots: An Analysis of Automated Accounts and the Links They Share, Pew Research Center

Vevo’s YouTube account hack hits popular music videos, causes biggest video ever to disappear, The Verge

Why loyalty, not view count, should be your new North Star, Think with Google

The post Marketing Day: The consumer mobile journey, Google’s Reach Planner & Facebook news appeared first on Marketing Land.

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webscreenscraping · 4 years ago

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Scrape OTT Media Platform Using Web Scraping

What is OTT Platforms?

Data Used by OTT Users

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

2.Lifetime Value of Each User:

3.Experience Enhancement Users:

4.Targeting Advertisement:

5.Accurate Predictions:

Customers Success and Insights

Being the Pioneer

How OTT Platforms use Data for Personalize

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:

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:

Conclusion

#ottplatformdatascraper #ottmediadatascraper #ottmediadatascraping

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