How to Easily Scrape Zillow Agents for Free: No-Code & Python Steps

Gathering real estate agent contacts and listings from Zillow can supercharge lead generation, market analysis, and competitive research. However, many hesitate—unsure about which tools to use, how to avoid blocks, or whether scraping is even legal. This guide breaks down proven, free methods—both no-code and code-based—alongside best practices for proxy rotation using OkeyProxy. Whether you’re a beginner or a seasoned pro, you’ll find step-by-step instructions to extract agent names, phone numbers, and listings efficiently.

Why Scrape Zillow Agents’ Data?

Scraping Zillow agent data offers powerful benefits:

Lead Generation: Direct contact with listing agents fuels outreach campaigns.

Market Intelligence: Track agent performance, active listings, and pricing trends.

Competitive Analysis: Compare marketplace activity across regions or brokerages.

Custom Reporting: Build dashboards or CRM imports with structured data.

For comment data, please check our blog"How To Scrape Zillow Reviews in US In 2025".

Three Methods Comparison

Here’s a quick overview of the methods we’ll cover:

Legal & Ethical Considerations

Before scraping, keep these in mind:

Terms of Service: Always review Zillow’s TOS to ensure compliance; avoid overloading servers.

Data Privacy: Use scraped data responsibly; don’t share personal contact info without consent.

Rate Limits: Start small—under 10 requests/minute—and monitor for blocks.

Approach 1: No-Code Visual Scraping

No-code tools let you scrape Zillow agent data without writing a single line of code—perfect for beginners.

1. Setup & Account Creation

Register for the free tier of your chosen visual scraper. Verify your email and log in.

2. Point-and-Click Configuration

Paste a Zillow search URL (e.g., agents in “Los Angeles, CA”).

Use the tool’s auto-detection to identify fields like agent name, phone, agency, and profile link.

Fine-tune by clicking elements or adding CSS selectors if needed.

3. Run, Schedule & Export

Run your task to verify. Schedule daily or weekly runs to get fresh leads. Export results to CSV, Excel, or JSON for CRM import.

Tip for Professionals

Use built-in cloud proxies sparingly; for higher volumes, integrate OkeyProxy (see below) to reduce costs and avoid caps.

Approach 2: Python Library Scraper

For those comfortable with coding, a Python-based scraper offers flexibility and no usage caps.

1. Installing the Open-Source Tool

bash

pip install pyzill

2. Configuring Requests & Parsing

python

import pyzill

from pyzill import ZillowScraper

# Initialize with OkeyProxy

scraper = ZillowScraper(proxy="http://USER:[email protected]:8000")

# Fetch agent listings for a city

results = scraper.search_agents(city="Los Angeles, CA")

print(results)

3. Handling Pagination & Data Storage

python

import pandas as pd

all_agents = []

for page in range(1, 6):  # scrape first 5 pages

    agents = scraper.fetch_page(page)

    all_agents.extend(agents)

# Save to CSV

pd.DataFrame(all_agents).to_csv("zillow_agents.csv", index=False)

Pro Insight

Add error handling for HTTP 429 status codes; retry after random delays to mimic human browsing. Example:
from time import sleep

for attempt in range(5):

python

    try:

        data = scraper.fetch_page(page)

        break

    except pyzill.TooManyRequestsError:

        sleep(2 ** attempt)

Approach 3: Headless Browser Automation

Headless browsers excel at scraping dynamic, JavaScript-rendered content like Zillow’s agent pages.

1. Environment Preparation

bash

npm install puppeteer

2. Navigating Dynamic Content

javascript

const puppeteer = require('puppeteer');

(async () => {

  const browser = await puppeteer.launch({ headless: true });

  const page = await browser.newPage();

  await page.goto('https://www.zillow.com/agent-reviews/los-angeles-ca/');

  // wait for agent list to load

  await page.waitForSelector('.agent-list-card');

})();

3. Extracting Phone Numbers & Agent Details

javascript

const agents = await page.$$eval('.agent-list-card', cards =>

  cards.map(card => ({

    name: card.querySelector('.agent-name').innerText,

    phone: card.querySelector('.agent-phone').innerText,

    profile: card.querySelector('a').href,

  }))

);

console.log(agents);

await browser.close();

Advanced Tip

Use page.evaluate to tap into embedded JSON‑LD scripts for more reliable data extraction.

Anti-Blocking & Proxy Rotation with OkeyProxy

Scraping Zillow risks IP bans or CAPTCHAs without proper precautions. Proxy rotation keeps your requests flowing smoothly.

Why Rotate Proxies?

Prevent IP Bans: Zillow imposes rate limits and blocks repeated requests.

Avoid CAPTCHAs: Diverse IPs reduce bot-detection triggers.

Integrating OkeyProxy into Each Method

No-Code Tools: Enter your OkeyProxy endpoint in the scraper’s proxy settings.

Python Scraper: Pass proxy="http://user:[email protected]:8000" when initializing.

Puppeteer:

javascript

await page.authenticate({username: "user", password: "pass"});

await browser.newPage({ args: ['--proxy-server=http://proxy.okeyproxy.io:8000'] });

Troubleshooting & FAQ

Conclusion

Scraping Zillow agents for free is accessible to everyone—whether you prefer a no-code tool’s simplicity or Python’s power. With OkeyProxy to bypass blocks and these step-by-step guides, you’re ready to gather valuable real estate data. Pick your method, follow the steps, and respect legal boundaries—your next insight is just a scrape away! Sign up today to get your free trial.