Bot Crawler to retrieve data from Facebook based on the Selection of Posts and the Extraction of User Profiles
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| Natura: | Artículo científico |
| Lingua: | en |
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Corporación Universitaria de la Costa
2022
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| _version_ | 1876448161757659136 |
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| author | Ariel Guillermo Sánchez Paipilla |
| author_facet | Ariel Guillermo Sánchez Paipilla |
| contents | Bot Crawler to retrieve data from Facebook based on the Selection of Posts and the Extraction of User Profiles Ariel Guillermo Sánchez Paipilla Mónica Katherine Durán Vaca Javier Antonio Ballesteros Ricaurte Ángela María González Amarillo Pedro Nel López Castellanos Ingeniería HTML data Web scraping web crawling Social Networking Introduction— Data can currently be found within organizations and outside of them, they are growing exponentially. Today, the information available on the Internet and social networks has become a generator of value, through the effective analysis of a specific situation, using techniques and methodologies with which content-based solutions can be proposed, and thus achieve, execute timely, intelligent and assertive decision-making processes. Objective— The main objective of this work is to development of a Bot Crawler, which allows extracting information from Facebook without access restrictions, or request for credentials, based on web crawling and scraping techniques, through the selection of HTML tags, to track and be able to define patterns. Methodology— The development of this project consisted of four main stages: A) Teamwork with SCRUM, B) Comparison of web data extraction techniques, C) Extraction and validation of permissions to access the data in Facebook, D) Development of the bor crawler. Results— As a result of this process, a graphical interface was created to review the process of obtaining data derived from user profiles in this social network. Conclusions— As a result of this process, a graphical interface is created that allows checking the process of obtaining data derived from user profiles of this social network. 2022 artículo científico 0122-6517 https://www.redalyc.org/articulo.oa?id=497779342018 en http://www.redalyc.org/revista.oa?id=4977 INGE CUC application/pdf Corporación Universitaria de la Costa INGE CUC (Colombia) Num.2 Vol.18 |
| format | Artículo científico |
| id | redalyc_497779342018 |
| institution | Redalyc |
| language | en |
| publishDate | 2022 |
| publisher | Corporación Universitaria de la Costa |
| spellingShingle | Bot Crawler to retrieve data from Facebook based on the Selection of Posts and the Extraction of User Profiles Ariel Guillermo Sánchez Paipilla Ingeniería HTML data Web scraping web crawling Social Networking Bot Crawler to retrieve data from Facebook based on the Selection of Posts and the Extraction of User Profiles Ariel Guillermo Sánchez Paipilla Mónica Katherine Durán Vaca Javier Antonio Ballesteros Ricaurte Ángela María González Amarillo Pedro Nel López Castellanos Ingeniería HTML data Web scraping web crawling Social Networking Introduction— Data can currently be found within organizations and outside of them, they are growing exponentially. Today, the information available on the Internet and social networks has become a generator of value, through the effective analysis of a specific situation, using techniques and methodologies with which content-based solutions can be proposed, and thus achieve, execute timely, intelligent and assertive decision-making processes. Objective— The main objective of this work is to development of a Bot Crawler, which allows extracting information from Facebook without access restrictions, or request for credentials, based on web crawling and scraping techniques, through the selection of HTML tags, to track and be able to define patterns. Methodology— The development of this project consisted of four main stages: A) Teamwork with SCRUM, B) Comparison of web data extraction techniques, C) Extraction and validation of permissions to access the data in Facebook, D) Development of the bor crawler. Results— As a result of this process, a graphical interface was created to review the process of obtaining data derived from user profiles in this social network. Conclusions— As a result of this process, a graphical interface is created that allows checking the process of obtaining data derived from user profiles of this social network. 2022 artículo científico 0122-6517 https://www.redalyc.org/articulo.oa?id=497779342018 en http://www.redalyc.org/revista.oa?id=4977 INGE CUC application/pdf Corporación Universitaria de la Costa INGE CUC (Colombia) Num.2 Vol.18 |
| title | Bot Crawler to retrieve data from Facebook based on the Selection of Posts and the Extraction of User Profiles |
| topic | Ingeniería HTML data Web scraping web crawling Social Networking |
| url | https://www.redalyc.org/articulo.oa?id=497779342018 |