[Python] Scraping Zestimate & sale range from Zillow property pages with Python (captcha &...

I am new to Python and web scraping, so I may be missing something basic. I’m trying to scrape Zestimate and sale range from Zillow property pages in Python.

Example URLs generated from addresses:

16914 S MEADOWPARK DR BEDFORD OH 44146-5137 → https://www.zillow.com/homes/16914-S-MEADOWPARK-DR-BEDFORD-OH-44146-5137_rb/

17152 S MEADOWPARK DR WALTON HILLS OH 44146-5141 → https://www.zillow.com/homes/17152-S-MEADOWPARK-DR-WALTON-HILLS-OH-44146-5141_rb/

I tested with pyzill using DataImpulse proxies and Anti-Captcha, but:

Zillow often shows the “Press & Hold” captcha.

pyzill fails to parse required fields like sale ranges.

I have around 400k addresses to process.

What’s a reliable approach (Playwright, Selenium, or other tools) to scrape these fields at scale while handling proxies and captchas?

What I tried:

Used the pyzill library to fetch details.

Configured DataImpulse proxies (as documented here ).

Tried integrating Anti-Captcha to bypass reCAPTCHA.

What I expected:

Extract Zestimate and sale range values for each property.

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