Unveiling the secrets to isolating elements from a list based on distinct characteristics

Currently, I am attempting to scrape job skills from the Wuzzuf website using the following code snippet:

result = requests.get("https://wuzzuf.net/search/jobs/?q=data+analysis&a=navbl")
src = result.content
soup = BeautifulSoup(src, "lxml")
job_skills = soup.find_all("div", {"class": "css-y4udm8"})

However, the code retrieves all information within the division. My goal is to extract only the elements containing <a> tags from the same div with the class = "css-y4udm8".

Answer №1

It would be beneficial to provide more details and expected output in order to give a precise answer. Enhancing your question will greatly assist.

If the skills are indicated by single list items with a dot as a prefix, you can utilize the following code to extract unique skills:

set(soup.select('div.css-y4udm8 a:-soup-contains("· ")'))

To include all <a> tags within the <div>, use this selection:

set(soup.select('div.css-y4udm8 a'))

Another approach is to create a dictionary storing text and URL values:

{a['href']:a.text.replace(' · ','') for a in soup.select('div.css-y4udm8 a')}

This will result in the following output:

{'URL': 'Skill'}

Example

from bs4 import BeautifulSoup
import requests

result = requests.get("https://wuzzuf.net/search/jobs/?q=data+analysis&a=navbl")
src = result.content
soup = BeautifulSoup(src)
skills = set(a.text.replace(' · ','') for a in soup.select('div.css-y4udm8 a:-soup-contains("· ")'))
skills

Output

{List of unique skills}

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