Abstract
Abstract With the rapid development of domestic Internet, more and more people choose housing leasing activities through the Internet, however, the existing housing rental information website the quantity many, but because of various advertising, information is scattered, so to HOME LINK sites, according to the position provided by the customer, accurate demand such as rent or house type, vertical search related data from the rental information website and in accordance with the provisions, the structure of the storage, rent information data to provide data for subsequent analysis. Bring users a faster experience. At the same time, we should add the reminding of the houses we are interested in and the reminding of price reduction. For the users who cannot look at their mobile phones all the time, timely reminding can help them avoid missing many desirable houses. This system is committed to solving the current people to rent a request for the search of detailed provide the keywords needed. To help make it easier for everyone who needs to rent. The system is mainly composed of data cleaning, data access, algorithm design and implementation, Python implementation of the front and back end of the system, data formatting and auxiliary decision.
Highlights
With the rapid development of information technology in today's society, people's demand for information is greatly increased
It is very difficult to extract these complex data from the network by using our traditional processing methods, and to analyze and study to obtain useful information
Scraper is an open source web crawler framework written in Python
Summary
With the rapid development of information technology in today's society, people's demand for information is greatly increased. The society has gradually become a collection of information, and in this collection of information there are various data. The data is a form of information. In most cases, these data are hidden in the network, and these data are complex and diverse. It is very difficult to extract these complex data from the network by using our traditional processing methods, and to analyze and study to obtain useful information
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Network, Monitoring and Controls
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
