Parsing of Data on Real Estate Objects from Network Resource
Authors
Vyacheslav Cherkesov, Vitaliy Malikov, Alexey Golubev, Danila Parygin, Tatiana Smykovskaya
Corresponding Author
Vyacheslav Cherkesov
Available Online December 2017.
- DOI
- 10.2991/itsmssm-17.2017.80How to use a DOI?
- Keywords
- real estate object, network resource, parsing, data collection, BeautifulSoup, Scrapy
- Abstract
Existing approaches for collecting data from sites on the Internet were considered. A comparative analysis of the solution based on the BeautifulSoup library and the Scrapy framework for parsing the content of network resources was made. Sources of information about real estate objects were analyzed. The method for parsing data on real estate objects was developed based on the results of the conducted studies. In addition, the main problems with the use of parsing technology were identified.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Vyacheslav Cherkesov AU - Vitaliy Malikov AU - Alexey Golubev AU - Danila Parygin AU - Tatiana Smykovskaya PY - 2017/12 DA - 2017/12 TI - Parsing of Data on Real Estate Objects from Network Resource BT - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017) PB - Atlantis Press SP - 385 EP - 388 SN - 2352-538X UR - https://doi.org/10.2991/itsmssm-17.2017.80 DO - 10.2991/itsmssm-17.2017.80 ID - Cherkesov2017/12 ER -