IoT (Internet of things) Data Scraping - An Overview “IOT (Internet of Things) data scraping largely helps in understanding and gathering crucial information which could improve many industries.�
The Internet of Things, also known at IOT has brought about great advancement in the sphere of technology. The invention of this intelligence has taken us years ahead of our time, making the unthinkable possible. The internet of things is an easy concept to grasp. It simply refers to the network that connects the physical devices around us to automated intelligence. It transforms normal everyday objects around us to smart devices.
How does the internet of things work? The internet of things has many devices connected to one another physically. All the devices can share information and collect data from one another as they are connected. The collected data and information is present in the cloud and is easily accessible when there is a requirement. The devices can include anything around us; it can be a television, a watch, mobiles, and any other appliances. They have embedded sensors which help them stay connected, no matter how far they are from each other. The IOT is a space similar to the cloud but it enables storing and sharing of a much larger amount of information and data. The gathered data is integrated and assorted and shared safely. IOT establishes a common language for better and faster communication.
An Overview of Web Scraping
Web scraping is the process of extracting and gathering certain information from multiple sites on the internet to use it for a different purpose. Collecting such vast amounts of data from numerous websites is no easy task. What web scraping does in a matter of seconds would take humans laborious hours to complete.
Web scraping has proven to be of great use in many fields of work as it is fast and efficient, providing invaluable information in no time. Web scraping software usually works in two methods: Extracting data with an API- API is the application programming interface or web interface Extracting data from the web page JSON- this is more user-friendly and has projects written in programming languages. Example- Python or R
The process of Web Scraping Web Scraping can be easily understood by looking at the five steps mentioned below1. Crawling- the first thing that any web scraper does is to crawl its way through the internet. Once the URL of the web page to be searched for is mentioned, the software starts browsing. Crawling is not selective in nature. In this step, the software only goes through similar URL’s. 2. Scraping- Unlike crawling, scraping is a selective process. It picks out the information necessary from the websites. In this step, a copy is made of the selected data. 3. Extracting- The software assembles the acquired data in a structured manner. This makes the work of the next steps easier. 4. Formatting- The data at this stage is definitely structured but not comprehensive. Formatting arranges the data in such a way that it can be understood. This can then be presented in a file format that is simple. 5. Exporting- Exporting data allows it to be accessed from one end to the other. Exporting is done using API’s.
How web scraping helps better the IOT experience Web scraping helps all the devices connected through IOT to have complete and uninterrupted access at all times. There are many applications of web scraping that are yet to be discovered. Web scraping gives more accurate results, makes IOT a safer place and has a lot of potential in improving technology.
The advantages of IOT data scraping  Improving business - Data scraping is being widely used in business today. It has many advantages which can lead to a successful business. Not only does it help keep a track on your competition and how they are doing, but data scraping also helps to check the success of a newly launched product. It improves the security of all the devices the software is connected to. IOT data scraping helps everyone to connect and make themselves more technologically aware of the happenings of the company. It keeps track of the logistics, and profits by predictive analysis. It increases asset utilization. Since IOT data scraping saves up on a lot of human labor and working hours, it is extremely cheap.  Manufacturing companies - The budding branch of the Internet of things is the (industrial) IIOT. IOT in manufacturing helps immediately realize any loopholes in the operation, as soon as a failure occurs. This is done with the help of sensors and enables further improvement of products.  Hospitality and Tourism Industry - IOT data scraping can play a major role in the tourism industry. The software is capable of collecting information about locations, reviews on places and other prices in the market. It understands the general likes and dislikes and in analyzing competition better. It keeps the companies up to date with changing trends and popular customer choices. Overall, IOT data scraping largely helps in understanding and gathering crucial information which could improve many industries. It has made its way into our lifestyle and made significant improvements. Some of the popular uses of IOT are in commonly used technologies. Our watches, mobiles and, cars are all interconnected. They help keep a track on the day to day activities like tasks to complete, physical movements and food habits. It is nothing but exciting to think of all the possibilities this remarkable technology could achieve. Originally published: https://www.3idatascraping.com/iot-internet-things-datascraping.php