Web Scraping with Threads
Source: 16-Multithreading and Multiprocessing/webscrapping_multi_threading.py
Start here — no coding background needed
What you will learn
Fetch many web pages faster with threads — ethical use only.
In simple words
Scraping means reading public web data. Always respect site rules and laws.
Do many tasks at once — advanced; understand ideas first, code locally later.
Easy example — run this first. Change values and press Run again.
Runs in your browser via Pyodide — no server. First run may take a few seconds.
Reference notes (from full bootcamp)
Optional — deeper detail for when you are ready
Reference script from the bootcamp repo. Read the code below; run a simplified version in the playground when marked runnable.
'''
Real-World Example: Multithreading for I/O-bound Tasks
Scenario: Web Scraping
Web scraping often involves making numerous network requests to
fetch web pages. These tasks are I/O-bound because they spend a lot of
time waiting for responses from servers. Multithreading can significantly
improve the performance by allowing multiple web pages to be fetched concurrently.
'''
'''
https://python.langchain.com/v0.2/docs/introduction/
https://python.langchain.com/v0.2/docs/concepts/
https://python.langchain.com/v0.2/docs/tutorials/
'''
import threading
import requests
from bs4 import BeautifulSoup
urls=[
'https://python.langchain.com/v0.2/docs/introduction/',
'https://python.langchain.com/v0.2/docs/concepts/',
'https://python.langchain.com/v0.2/docs/tutorials/'
]
def fetch_content(url):
response=requests.get(url)
soup=BeautifulSoup(response.content,'html.parser')
print(f'Fetched {len(soup.text)} characters from {url}')
threads=[]
for url in urls:
thread=threading.Thread(target=fetch_content,args=(url,))
threads.append(thread)
thread.start()
for thread in threads:
thread.join()
print("All web pages fetched")Browser practice only — full example needs Python on your computer (files, Flask, threads, etc.).
Practice test — try yourself
Write code, press Check. Wrong answer shows the correct code to copy & run.
You learned "Web Scraping with Threads". Use print() to show: Done: Web Scraping with Threads
Hint: Use one print() with the exact text.