A Python script that scrapes quotes, authors, and tags from a practice website — then saves everything to a CSV file you can open in Excel.
You only need two packages — requests to download web pages, and BeautifulSoup to parse them.
pip install requests beautifulsoup4Download the HTML of a page using requests. We use quotes.toscrape.com — a site built specifically for scraping practice.
import requests
from bs4 import BeautifulSoup
url = 'https://quotes.toscrape.com'
response = requests.get(url)
print(response.status_code) # 200 = success
print(response.text[:500]) # first 500 chars of HTML200 <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Quotes to Scrape</title> ...
Pass the HTML to BeautifulSoup, then find every quote block and pull out the text, author, and tags.
import requests
from bs4 import BeautifulSoup
url = 'https://quotes.toscrape.com'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
quotes = []
for block in soup.select('div.quote'):
text = block.select_one('span.text').get_text(strip=True)
author = block.select_one('small.author').get_text(strip=True)
tags = [t.get_text() for t in block.select('a.tag')]
quotes.append({'text': text, 'author': author, 'tags': tags})
for q in quotes[:3]:
print(q['author'], '—', q['text'][:60])Albert Einstein — "The world as we have created it is a process of our th... J.K. Rowling — "It is our choices, Harry, that show what we truly are, f... Albert Einstein — "There are only two ways to live your life. One is as t...
The site has 10 pages. Loop through them by following the "Next" button link.
import requests
from bs4 import BeautifulSoup
BASE_URL = 'https://quotes.toscrape.com'
url = BASE_URL
all_quotes = []
while url:
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
for block in soup.select('div.quote'):
text = block.select_one('span.text').get_text(strip=True)
author = block.select_one('small.author').get_text(strip=True)
tags = ', '.join(t.get_text() for t in block.select('a.tag'))
all_quotes.append({'text': text, 'author': author, 'tags': tags})
next_btn = soup.select_one('li.next a')
url = BASE_URL + next_btn['href'] if next_btn else None
print(f'Scraped {len(all_quotes)} quotes')Scraped 100 quotes
Export everything to a CSV file you can open in Excel or Google Sheets.
import csv
with open('quotes.csv', 'w', newline='', encoding='utf-8') as f:
writer = csv.DictWriter(f, fieldnames=['text', 'author', 'tags'])
writer.writeheader()
writer.writerows(all_quotes)
print('Saved to quotes.csv')Saved to quotes.csv
You scraped 100 quotes across 10 pages and saved them to CSV. Try changing the selector to scrape a different site — every site has a different HTML structure, but the approach is always the same: inspect → select → extract.
Spotted a bug, broken code, or something that doesn't look right? Tell us what's off and we'll fix it.