Web Scraping with Python 101 - Extract Data from any Website

We start by inspecting the page using DevTools and extracting the necessary data from a job offer. Then, modify it to get all the job offers. We'll also learn to store the extracted data on CSV files using pandas. And many more tips and tricks in between!

Follow us on:

We also wrote a related article on our blog:

More information about us:

0:00 - Intro
0:11 - Inspect the page
1:16 - Get the initial HTML
2:11 - Use proxies to avoid blocks
3:06 - Extract data with BeautifulSoup
5:01 - Inspect job details
5:51 - Extract job details
8:21 - Get all jobs offers
10:07 - See JSON results
10:36 - Export to CSV
11:23 - View results on Excel
12:04 - Add error handling
14:18 - Explore job offer page
14:49 - Scrape data from offer page
17:49 - Outro

[alchemista]

Can you post videos of using ZenRows, to see if your service is useful?

[sowjanyakake]

What if the required data from website in Dynamic not static, how to handle that scenario??