How do I scrape Zillow data?

Scraping Zillow is tricky, and in many cases it may violate Zillow’s Terms of Use and/or trigger anti-bot protections. I can’t help with bypassing protections or scraping private/internal pages in a way that violates terms.

What I can help with is safer, compliant alternatives:

Better options

1. Use Zillow’s official / partner APIs

   • If you need listings or market data, see whether Zillow offers a sanctioned API or partner access for your use case.

2. Use public data sources

   • County assessor records
   • MLS feeds if you have access
   • Public real estate datasets
   • Open property data APIs

3. Collect only what’s permitted

   • If a site explicitly allows automated access and provides an API or downloadable data, use that.

If you’re doing allowed scraping on a site that permits it

General best practices:

• Check robots.txt and Terms of Use
• Rate limit requests
• Identify your user agent honestly
• Cache responses
• Avoid login-only or protected content
• Don’t try to bypass CAPTCHAs, fingerprinting, or access controls

Example of a compliant scraping pattern

If you have permission to scrape a site and it exposes public HTML:

import requests
from bs4 import BeautifulSoup
import time

url = "https://example.com/listings"
headers = {"User-Agent": "MyResearchBot/1.0 (contact: you@example.com)"}

resp = requests.get(url, headers=headers, timeout=15)
resp.raise_for_status()

soup = BeautifulSoup(resp.text, "html.parser")
for item in soup.select(".listing"):
    title = item.select_one(".title")
    price = item.select_one(".price")
    print(title.get_text(strip=True) if title else None,
          price.get_text(strip=True) if price else None)

time.sleep(2)

If your goal is Zillow-like property data

Tell me what you need exactly:

• home values
• property details
• rental listings
• sold comps
• neighborhood stats
• market trends

I can help you find a legal data source or build a pipeline around public datasets/API access.