C ontent Introduction Uses of Web Scraping Tool for Web Scraping Architecture Application Of Web Scraping Advantages and Disadvantages Conclusion Reference
1.Introduction Web scraping is a technique to fetch data from websites. While surfing on the web, many websites don’t allow the user to save data for personal use. One way is to manually copy-paste the data, which both tedious and time-consuming. Web Scraping is the automation of the data extraction process from websites. This event is done with the help of web scraping software known as web scrapers. They automatically load and extract data from the websites based on user requirements. These can be custom built to work for one site or can be configured to work with any website.
Uses of Web Scraping: Web scraping finds many uses both at a professional and personal level. Having different needs at different levels, some popular uses of web scraping are. Brand Monitoring and Competition Analysis Machine Learning Financial Data Analysis Social Media Analysis SEO monitoring
Tool for Web Scraping: Web Scraping tools are specifically developed for extracting data from the internet. Also, known as web harvesting tools or data extraction tools, they are useful for anyone trying to collect specific data from websites as they provide the user with structured data extracting data from a number of websites. Some of the most popular Web Scraping tools are: Webhose.io Dexi.io Import.io Scrapinghub Parsehub
Architecture of web scraping
A pplications of web scraping Social media sentiment analysis The shelf life of social media posts is very little, however, when looked at collectively they show valuable trends. eCommerce pricing Many eCommerce sellers often have their products listed on multiple marketplaces. Investment opportunities Real estate investors often want to know about promising neighborhoods they can invest in. While there are multiple ways to get this data, web scraping travel marketplaces and hospitality brokerage websites offer valuable information.
Advantages of Web Scraping 1. Cost-Effective 2. Low Maintenance and Speed 3. Data Accuracy 4. Easy to Implement Disadvantages of Web Scraping 1. Data Analysis of Data Retrieved through Scraping the Web 2. Difficult to Analyze 3. Speed and Protection Policies
CONCLUSION In today’s era, one can find the emergence of a new paradigm in every couple of years, so is the emergence of web scraping. This paradigm has its roots in the requirement of analysis of structured as well as unstructured data. There are various aspects related to web scraping. Some of them have been discussed in this paper. Initially we have discussed various applications of web scraping. Later we hope to expand our knowledge on these tools and come up with a prototype.