Name
Abstract | ||
|---|---|---|
Main objective of Web Scraping is to extract information from one or many websites and process it into simple structures such as spreadsheets, database or CSV file. However, in addition to be a very complicated task, Web Scraping is resource and time consuming, mainly when it is carried out manually. Previous studies have developed several automated solutions. The purpose of this article is to revisit the different existing Web Scraping approaches, categories, and tools, but also its areas of application. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/BigData47090.2019.9005594 | 2019 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) |
Keywords | Field | DocType |
Web-Scraping, Data Collection, Web Data Extraction | Data mining,Data collection,World Wide Web,Web scraping,Computer science | Conference |
ISSN | Citations | PageRank |
2639-1589 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rabiyatou DIOUF | 1 | 0 | 0.34 |
| Edouard Ngor Sarr | 2 | 0 | 0.34 |
| Ousmane Sall | 3 | 7 | 3.71 |
| Babiga Birregah | 4 | 0 | 0.68 |
| Mamadou Bousso | 5 | 6 | 2.24 |
| Sény Ndiaye Mbaye | 6 | 0 | 0.34 |