The use of web-scraped data to analyze the dynamics of footwear prices
Aim/purpose – Web-scraping is a technique used to automatically extract data from websites. After the rise-up of online shopping, it allows the acquisition of information about prices of goods sold by retailers such as supermarkets or internet shops. This study examines the possibility of using web-...
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2021-05-01
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| Series: | Journal of Economics and Management |
| Subjects: | |
| Online Access: | https://doi.org/10.22367/jem.2021.43.12 |
| _version_ | 1827997967035924480 |
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| author | Juszczak Adam |
| author_facet | Juszczak Adam |
| author_sort | Juszczak Adam |
| collection | DOAJ |
| description | Aim/purpose – Web-scraping is a technique used to automatically extract data from websites. After the rise-up of online shopping, it allows the acquisition of information about prices of goods sold by retailers such as supermarkets or internet shops. This study examines the possibility of using web-scrapped data from one clothing store. It aims at comparing known price index formulas being implemented to the web-scraping case and verifying their sensitivity on the choice of data filter type. |
| first_indexed | 2024-04-10T05:36:57Z |
| format | Article |
| id | doaj.art-b0c006f9fb4b47e1874b42d3e48bdaa6 |
| institution | Directory Open Access Journal |
| issn | 2719-9975 |
| language | English |
| last_indexed | 2024-04-10T05:36:57Z |
| publishDate | 2021-05-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Economics and Management |
| spelling | doaj.art-b0c006f9fb4b47e1874b42d3e48bdaa62023-03-06T17:03:00ZengSciendoJournal of Economics and Management2719-99752021-05-0143125126910.22367/jem.2021.43.12The use of web-scraped data to analyze the dynamics of footwear pricesJuszczak Adam0Department of Statistical Methods, Faculty of Economics and Sociology, University of Lodz, Łódź, PolandAim/purpose – Web-scraping is a technique used to automatically extract data from websites. After the rise-up of online shopping, it allows the acquisition of information about prices of goods sold by retailers such as supermarkets or internet shops. This study examines the possibility of using web-scrapped data from one clothing store. It aims at comparing known price index formulas being implemented to the web-scraping case and verifying their sensitivity on the choice of data filter type.https://doi.org/10.22367/jem.2021.43.12inflationcpiweb-scrapingonline shoppingbig datac43c49 |
| spellingShingle | Juszczak Adam The use of web-scraped data to analyze the dynamics of footwear prices Journal of Economics and Management inflation cpi web-scraping online shopping big data c43 c49 |
| title | The use of web-scraped data to analyze the dynamics of footwear prices |
| title_full | The use of web-scraped data to analyze the dynamics of footwear prices |
| title_fullStr | The use of web-scraped data to analyze the dynamics of footwear prices |
| title_full_unstemmed | The use of web-scraped data to analyze the dynamics of footwear prices |
| title_short | The use of web-scraped data to analyze the dynamics of footwear prices |
| title_sort | use of web scraped data to analyze the dynamics of footwear prices |
| topic | inflation cpi web-scraping online shopping big data c43 c49 |
| url | https://doi.org/10.22367/jem.2021.43.12 |
| work_keys_str_mv | AT juszczakadam theuseofwebscrapeddatatoanalyzethedynamicsoffootwearprices AT juszczakadam useofwebscrapeddatatoanalyzethedynamicsoffootwearprices |