Résumé:
The theme addressed by this thesis is the extraction of web data by the web scraping method, the goal that need to be achieved through this thesis is to respond to a very specific problem which is to extract existing digital data by proposing a web scraping system which is an application named hashtag search application.
In many cases, business owners who are about to start a project in any field are unable to collect the data they need for the success of their own project, especially in the field of selling and manufacturing clothing cause the project owner needs to be aware of what is trendy in the markets, as this helps him to compete with successful companies, so he needs a tool to help him obtain important information to ensure sales and stay in the market.
Among the most common and widely used technology in our time social media sites help the individuals and the companies to communicate and stay in touch. One of the advantages of social media sites is that they contain a huge amount of information and data, but how does the business owner filter all this information to obtain the data that interests him only.
Hashtag search application is an application that helps to extract data from the social media site Instagram using the algorithm of the web scraping, this application works as a search engine connected to Instagram, the application extracts data from the site and uses the hashtag to determine the content to be searched.
The application contains two features. The application brings to the user the trendy posts and the latest posts in Instagram, and with the information brought with the hashtag search application the user will become familiar with the demands of people and the trendy products that are in the market which are best-selling, so by analyzing this data, the project owner can make his project a success.
Key words: Data extraction, web scraping, business owners, trendy posts, the latest posts, algorithm of the web scraping, search engine.
