Hey! I’ve used beautifulsoup libraries wikipedia scraping a bunch. Definitely pair it with `requests` to fetch the page first.
One tip: use `html.parser` or `lxml` for parsing—it’s faster and cleaner. Also, respect Wikipedia’s robots.txt and add delays between requests to avoid getting blocked.
For reliability, Wikipedia’s structure is pretty consistent, so you can usually trust the data if you’re targeting the right elements.
Here’s a quick snippet:
```python
from bs4 import BeautifulSoup
import requests
url = "https://en.wikipedia.org/wiki/Python_(programming_language)"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
print(soup.find('h1').text)
```
One tip: use `html.parser` or `lxml` for parsing—it’s faster and cleaner. Also, respect Wikipedia’s robots.txt and add delays between requests to avoid getting blocked.
For reliability, Wikipedia’s structure is pretty consistent, so you can usually trust the data if you’re targeting the right elements.
Here’s a quick snippet:
```python
from bs4 import BeautifulSoup
import requests
url = "https://en.wikipedia.org/wiki/Python_(programming_language)"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
print(soup.find('h1').text)
```