<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Research on Data Collection and Analysis of Second Hand House in China Based on Python

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

With the rapid development of domestic Internet, more and more people choose housing leasing activities through the Internet, however, the existing housing...

Research on Data Collection and Analysis of Second Hand House in China Based on Python

Pubblicato online: 21 feb 2022

Pagine: 37 - 47

DOI: https://doi.org/10.21307/ijanmc-2021-015

Parole chiave
Python Crawler, Scrapy framework, Django Framework, HOME LINK

© 2021 Hejing Wuet et al; published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Research on Data Collection and Analysis of Second Hand House in China Based on Python

Pubblicato online: 21 feb 2022

Pagine: 37 - 47

DOI: https://doi.org/10.21307/ijanmc-2021-015

Parole chiavePython Crawler, Scrapy framework, Django Framework, HOME LINK

© 2021 Hejing Wuet et al; published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
Python Crawler, Scrapy framework, Django Framework, HOME LINK