Learn How to Read HTML Tables with Pandas in Minutes
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When it comes to extracting HTML tables using Pandas, it is first important to understand what Pandas is. Pandas is a software library built on top of the Python programming language. It has functions for analyzing, exploring, cleaning, and manipulating data and is essentially known for its useful pandas read_html function which allows users to organize scraped data into 2-dimensional tables with rows and columns.
Upon discussing the main benefits of using Pandas, this video tutorial will guide you through the process of reading HTML tables with this tool. It will not only highlight the essential steps of extracting HTML tables from web pages but also cover multiple other commands, such as parsing dates, skipping rows, scraping only a specific column, using match to find a table in the page.
Check out our Oxylabs GitHub repository to access the code samples for reading HTML tables with Pandas: https://github.com/oxylabs/pandas-rea...
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In this video, Liza covers the following:
00:00 Introduction
00:18 What is Pandas?
00:58 Installing Pandas
01:28 Web scraping with Pandas
01:48 Importing Pandas
02:18 Reading tables from webpage
04:33 Parsing dates
06:38 Scraping a specific column
07:21 Locating specific tables
08:12 Skipping rows
09:11 Saving data to CSV
09:50 Conclusion
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#html #webscraping #data
