Alessandra Peglow Colvara de Souza's repositories
Best-README-Template
An awesome README template to jumpstart your projects!
cracha_nlw_origin
Crachá virtual criado na trilha origin na NLW Heat
desafio-1-meentoria
Primeiro desafio de GIT
Git---ES
Atividade prática de Engenharia de Software I
Git---PI
Atividade de Engenharia de Software I com um projeto de Programação para Internet I. Projeto do site da loja Gaston.
guiadevbrasil
GUIA EXTENSO DE PROGRAMAÇÃO:
ImersaoDev-Alura
Duas semanas de sulas intensivas de JavaScript feita pela Alura
Intro_to_web_scraping_with_python
A tutorial introduction to web scraping with python 3 using requests and BeautifulSoup.
metodos-http
Código da segunda aula sobre os métodos HTTP com node e express
POO---Typescript
Trabalho final da disciplina de Algoritmos e Programação 1
portal-codivas
project hacktoberfest 2021 - a new website (portal) for codivas community, using React !
Python-Web-Scraping
Explorando Técnicas de Web Scraping com Python
TelaMateria
Trabalho de algoritmos 3
typescript_atividade
Atividade de engenharia 3
Web-Scraping-in-Python
Implementing Web Scraping in Python with BeautifulSoup There are mainly two ways to extract data from a website: Use the API of the website (if it exists). For example, Facebook has the Facebook Graph API which allows retrieval of data posted on Facebook. Access the HTML of the webpage and extract useful information/data from it. This technique is called web scraping or web harvesting or web data extraction. This article discusses the steps involved in web scraping using implementation of Web Scraping in Python with Beautiful Soup Steps involved in web scraping: Send a HTTP request to the URL of the webpage you want to access. The server responds to the request by returning the HTML content of the webpage. For this task, we will use a third-party HTTP library for python requests. Once we have accessed the HTML content, we are left with the task of parsing the data. Since most of the HTML data is nested, we cannot extract data simply through string processing. One needs a parser which can create a nested/tree structure of the HTML data. There are many HTML parser libraries available but the most advanced one is html5lib. Now, all we need to do is navigating and searching the parse tree that we created, i.e. tree traversal. For this task, we will be using another third-party python library, Beautiful Soup. It is a Python library for pulling data out of HTML and XML files.