Comparisons
Supacrawler vs BeautifulSoup
Compare Supacrawler with BeautifulSoup for web scraping in Python
Key Differences
Prop
Type
Code Comparison
from supacrawler import SupacrawlerClient
client = SupacrawlerClient(api_key="your-api-key")
result = client.scrape("https://example.com", render_js=True)
print(result.markdown)JavaScript rendering included
import requests
from bs4 import BeautifulSoup
response = requests.get("https://example.com")
soup = BeautifulSoup(response.content, 'html.parser')
# Manual parsing required
title = soup.find('title').get_text()
content = soup.find('main').get_text()
print(content)No JavaScript rendering
JavaScript-Heavy Sites
BeautifulSoup Result
# Returns empty or incomplete content
soup = BeautifulSoup(requests.get("https://react-app.com").content, 'html.parser')
# <div id="root"></div> ❌ No content!Supacrawler Result
result = client.scrape("https://react-app.com", render_js=True)
# Full rendered content with JavaScript ✅Why Choose Supacrawler?
- JavaScript Support: Full browser rendering included
- No Setup: Works immediately with API key
- Anti-Bot Handling: Built-in evasion techniques
- Clean Output: LLM-ready markdown format
- Scalability: Cloud infrastructure handles load
When to Use BeautifulSoup
- Parsing static HTML locally
- Learning web scraping basics
- Budget is extremely constrained
- Simple, static websites only
- You need offline HTML parsing
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