STEP 1. INSTALLING LIBRARIES

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If you have any difficulties with parsing sites in Python or with parsing applications, please contact iDatica – write a letter or fill out an application indicating all the details of the parsing task.We've previously covered the basics of scraping data from websites . But did you know that scraping can also be used for data in tabular form? If you spend much time on the Internet, you've probably noticed that many websites contain tables. For example, flight schedules, product features, service differentiation, TV schedules, ratings, and more.

Parsing a Table from a Website in Python: A Step-by-Step GuideData Table from Similarweb.com
In some cases, you can easily copy a table and paste it ghana telegram database into Excel without writing a single line of code. But keep in mind that data scientists work with much larger amounts of data, where the copy-paste method is not very efficient. So now we will show you how to parse a table from a website in Python.


First of all, we need to install the libraries into our development environment:

BeautifulSoup4
Requests
pandas
lxml
If you have any problems at this stage, we recommend reading the article on web scraping in Python .

STEP 2. IMPORTING LIBRARIES
Once the necessary libraries are installed, we can open Spyder. We choose Spyder because it is more convenient to use for projects. But you can have your own preferences.