#webscraping #python #pandaspythontutorial
[ Ссылка ]
[ Ссылка ]
🔥 The Definitive Web Scraping Course
==============
Udemy: [ Ссылка ]
💵 Support The Data Circle
==============
Ko-fi: [ Ссылка ]
🖥️ From this video
==============
GitHub: [ Ссылка ]
regex Generator: [ Ссылка ]
0:00 - Intro
0:47 - Import Python Libraries
1:53 - Setup Chromedriver URL
6:15 - Scroll down to load more results
8:08 - Store and parse the HTML using BeautifulSoup
9:15 - Extract and Store data into lists
13:07 - Clean mileage data
22:14 - Convert lists into a Pandas dataframe
26:50 - Clean Pandas dataframe
29:35 - Data Analysis (creating charts)
36:00 - Find the cheapest available vehicle using Pandas
38:03 - Export data to CSV file (Excel)
In this video, we'll show you how to scrape Facebook Marketplace car listings using Python. We'll use BeautifulSoup, Splinter, Pandas, Regular Expressions (regex) and more.
This is a great way to analyze the listings on Facebook Marketplace and learn some new techniques in web scraping. We'll show you how to extract, parse, organize, clean, analyze and export the data.
Don't forget to like, subscribe, and hit the notification bell for more exciting tutorials on data scraping, Python, and beyond!
