Web Scraping with Python, Selenium and BeautifulSoup for RTX 3060 Ebay sold prices

Опубликовано: 16 Январь 2025
на канале: CODE MENTAL

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#Python #datascraping #webscraping #pythonprojects #beatifulsoup #pandas #selenium #ryzen5000 #rtx3060 #rtx3070 #rtx3080 #rtx3090 #bot

Now that the RTX-3060 is out, how much is it really selling for on eBay? How does it compare to the RTX3070, RTX-3080, and RTX-3090?
Code with me a python bot using Selenium, BeautifulSoup, and Pandas to web scrape all the purchase prices for the latest RTX 3060 graphics card sold on eBay. And at the end, after some price analysis, we will really know.

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Jupyter Notebook:

https://gist.github.com/armindocachad...

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Timestamps:

00:00 - Introduction
01:00 - Starting Anaconda
03:20 - Importing selenium and python-chromedriver binary
04:17 - WebDriver.explicitly_wait()
05:30 - opening a browser window with a search query on the eBay website
07:43 - installing beautifulsoup
09:00 - BeautifulSoup findAll()
13:44 - Extracting title and sold price
16:00 - Extracting the date
31:00 - Using XPATH to get element
39:00 - Cleaning up data
41:00 - Installing matplotlib
42:00 - Trying to draw a scatter plot
48:00 - Removing outliers .loc
49:00 - Installing Plotly
50:16 - Installing jupyterlab nodes and plotly extension
51:57 - Creating a Box plot with Plotly
52:00 - Price Analysis of Nvidia RTX 3060 Purchase prices in Ebay
55:00 - Using a Lambda function to cleanup the dates in Panda data frame
56:00 - Analysing sold prices for RTX-3060, RTX-3070, RTX-3080 and RTX-3090