How to Scrape Century 21: Real Estate Data Extraction Guide
Learn how to scrape listings, prices, and agent details from Century 21. Bypass Akamai and CloudFront for high-value real estate data extraction.
Anti-Bot Protection Detected
- Akamai Bot Manager
- Advanced bot detection using device fingerprinting, behavior analysis, and machine learning. One of the most sophisticated anti-bot systems.
- CloudFront
- Google reCAPTCHA
- Google's CAPTCHA system. v2 requires user interaction, v3 runs silently with risk scoring. Can be solved with CAPTCHA services.
- IP Blocking
- Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.
- Rate Limiting
- Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
About Century 21
Learn what Century 21 offers and what valuable data can be extracted from it.
Global Real Estate Leader
Century 21 Real Estate LLC is an iconic real estate franchise company founded in 1971. As a subsidiary of Anywhere Real Estate, it manages a massive network of over 14,000 independently owned offices across 80+ countries. The platform serves as a primary hub for residential, commercial, and luxury property listings.
Rich Property Datasets
The website contains deeply structured information including listing prices, property specs (beds, baths, square footage), neighborhood demographics, and historical tax records. It also features comprehensive profiles for agents and brokerages, including contact details and office locations, making it a goldmine for industry leads.
Value for Data Scientists
For investors and proptech developers, scraping Century 21 is critical for building valuation models, tracking market trends, and automating lead discovery. By extracting this data, businesses can gain a competitive edge, monitor brokerage performance, and identify high-yield investment opportunities in real-time.

Why Scrape Century 21?
Discover the business value and use cases for extracting data from Century 21.
Real Estate Valuation Models
Aggregate large volumes of historical and current listing data to build predictive models for home appraisals and market forecasts.
Investment Identification
Monitor price drops and new listings in real-time to identify undervalued properties for rapid acquisition or flipping.
Mortgage and Loan Lead Gen
Identify new homeowners or sellers who require financing or insurance services by tracking fresh property listings.
Competitor Market Share
Analyze which brokerages and agents are capturing the most listings in specific zip codes to understand local market dominance.
Hyper-Local Market Trends
Track changes in price-per-square-foot and inventory levels at a neighborhood level to advise clients on the best time to buy.
Scraping Challenges
Technical challenges you may encounter when scraping Century 21.
Akamai Bot Defense
Century 21 uses Akamai's advanced behavioral analysis to detect and block headless browsers and automated scraping scripts.
Dynamic Content Rendering
The site relies on modern JavaScript frameworks, meaning data is not present in static HTML and requires full browser execution.
Aggressive IP Rate Limiting
Frequent requests from the same IP address trigger immediate blocks or CAPTCHA challenges, requiring residential proxy rotation.
Fragile CSS Selectors
The website structure and class names are updated frequently, requiring scrapers with self-healing capabilities or robust logic.
Scrape Century 21 with AI
No coding required. Extract data in minutes with AI-powered automation.
How It Works
Describe What You Need
Tell the AI what data you want to extract from Century 21. Just type it in plain language — no coding or selectors needed.
AI Extracts the Data
Our artificial intelligence navigates Century 21, handles dynamic content, and extracts exactly what you asked for.
Get Your Data
Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why Use AI for Scraping
AI makes it easy to scrape Century 21 without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.
How to scrape with AI:
- Describe What You Need: Tell the AI what data you want to extract from Century 21. Just type it in plain language — no coding or selectors needed.
- AI Extracts the Data: Our artificial intelligence navigates Century 21, handles dynamic content, and extracts exactly what you asked for.
- Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
- No-Code Visual Builder: Extract complex data from Century 21 by pointing and clicking, removing the need for custom Python or Node.js development.
- Built-in Akamai Bypass: Automatio automatically manages browser fingerprints and behavioral patterns to stay invisible to sophisticated anti-bot systems.
- Dynamic JS Execution: The tool renders all dynamic React components perfectly, ensuring that no property details or images are missed during extraction.
- Automated Cloud Scheduling: Schedule your property scrapers to run daily or hourly, syncing new listings directly to your database or Google Sheets.
- Infinite Scroll & Pagination: Automatio handles 'Load More' buttons and infinite scrolling out of the box, making it easy to scrape thousands of listings.
No-Code Web Scrapers for Century 21
Point-and-click alternatives to AI-powered scraping
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Century 21. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
Common Challenges
Learning curve
Understanding selectors and extraction logic takes time
Selectors break
Website changes can break your entire workflow
Dynamic content issues
JavaScript-heavy sites often require complex workarounds
CAPTCHA limitations
Most tools require manual intervention for CAPTCHAs
IP blocking
Aggressive scraping can get your IP banned
No-Code Web Scrapers for Century 21
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape Century 21. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
- Install browser extension or sign up for the platform
- Navigate to the target website and open the tool
- Point-and-click to select data elements you want to extract
- Configure CSS selectors for each data field
- Set up pagination rules to scrape multiple pages
- Handle CAPTCHAs (often requires manual solving)
- Configure scheduling for automated runs
- Export data to CSV, JSON, or connect via API
Common Challenges
- Learning curve: Understanding selectors and extraction logic takes time
- Selectors break: Website changes can break your entire workflow
- Dynamic content issues: JavaScript-heavy sites often require complex workarounds
- CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
- IP blocking: Aggressive scraping can get your IP banned
Code Examples
import requests
from bs4 import BeautifulSoup
# Headers to mimic a real browser to avoid simple blocks
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
'Accept-Language': 'en-US,en;q=0.9',
'Referer': 'https://www.century21.com/'
}
url = 'https://www.century21.com/real-estate/new-york-ny/LCNYNEWYORK/'
try:
# Using a proxy is highly recommended for Century 21
response = requests.get(url, headers=headers, timeout=30)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# Example: Finding property price elements
for card in soup.select('.property-card'):
price = card.select_one('.property-price').text.strip()
address = card.select_one('.property-address').text.strip()
print(f'Price: {price} | Address: {address}')
except Exception as e:
print(f'Failed to retrieve data: {e}')When to Use
Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.
Advantages
- ●Fastest execution (no browser overhead)
- ●Lowest resource consumption
- ●Easy to parallelize with asyncio
- ●Great for APIs and static pages
Limitations
- ●Cannot execute JavaScript
- ●Fails on SPAs and dynamic content
- ●May struggle with complex anti-bot systems
How to Scrape Century 21 with Code
Python + Requests
import requests
from bs4 import BeautifulSoup
# Headers to mimic a real browser to avoid simple blocks
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
'Accept-Language': 'en-US,en;q=0.9',
'Referer': 'https://www.century21.com/'
}
url = 'https://www.century21.com/real-estate/new-york-ny/LCNYNEWYORK/'
try:
# Using a proxy is highly recommended for Century 21
response = requests.get(url, headers=headers, timeout=30)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
# Example: Finding property price elements
for card in soup.select('.property-card'):
price = card.select_one('.property-price').text.strip()
address = card.select_one('.property-address').text.strip()
print(f'Price: {price} | Address: {address}')
except Exception as e:
print(f'Failed to retrieve data: {e}')Python + Playwright
from playwright.sync_api import sync_playwright
def scrape_century21():
with sync_playwright() as p:
# Launching with a real browser profile to bypass detection
browser = p.chromium.launch(headless=True)
context = browser.new_context(user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36')
page = context.new_page()
# Navigate to a specific search result page
page.goto('https://www.century21.com/real-estate/miami-fl/LCCAMIAMI/')
# Wait for dynamic property cards to render
page.wait_for_selector('.property-card')
# Extracting data
listings = page.query_selector_all('.property-card')
for item in listings:
price = item.query_selector('.property-price').inner_text()
address = item.query_selector('.property-address').inner_text()
print(f'Home: {price}, Location: {address}')
browser.close()
scrape_century21()Python + Scrapy
import scrapy
class Century21Spider(scrapy.Spider):
name = 'century21'
start_urls = ['https://www.century21.com/real-estate/los-angeles-ca/LCCALOSANGELES/']
# Custom settings to handle anti-bot and pagination
custom_settings = {
'DOWNLOAD_DELAY': 2,
'USER_AGENT': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
'CONCURRENT_REQUESTS': 1
}
def parse(self, response):
for card in response.css('.property-card'):
yield {
'price': card.css('.property-price::text').get().strip(),
'address': card.css('.property-address::text').get().strip(),
'beds': card.css('.property-beds strong::text').get(),
}
# Following pagination
next_page = response.css('a.next-page::attr(href)').get()
if next_page:
yield response.follow(next_page, self.parse)Node.js + Puppeteer
const puppeteer = require('puppeteer-extra');
const StealthPlugin = require('puppeteer-extra-plugin-stealth');
puppeteer.use(StealthPlugin());
(async () => {
const browser = await puppeteer.launch({ headless: true });
const page = await browser.newPage();
// Using stealth to bypass Akamai/CloudFront
await page.goto('https://www.century21.com/real-estate/san-francisco-ca/LCCASANFRANCISCO/');
// Wait for React content to load
await page.waitForSelector('.property-card');
const data = await page.evaluate(() => {
const cards = Array.from(document.querySelectorAll('.property-card'));
return cards.map(el => ({
price: el.querySelector('.property-price').innerText.trim(),
address: el.querySelector('.property-address').innerText.trim()
}));
});
console.log(data);
await browser.close();
})();What You Can Do With Century 21 Data
Explore practical applications and insights from Century 21 data.
Predictive Appraisal Engines
Real estate developers use scraped data to build algorithms that predict the future value of properties.
How to implement:
- 1Scrape current and historical listing prices for a region.
- 2Cross-reference with square footage and local school scores.
- 3Train a machine learning model to estimate property appreciation.
Use Automatio to extract data from Century 21 and build these applications without writing code.
What You Can Do With Century 21 Data
- Predictive Appraisal Engines
Real estate developers use scraped data to build algorithms that predict the future value of properties.
- Scrape current and historical listing prices for a region.
- Cross-reference with square footage and local school scores.
- Train a machine learning model to estimate property appreciation.
- Targeted Marketing for Lenders
Mortgage lenders can identify homeowners who have just listed their properties to offer refinancing or new loan packages.
- Monitor Century 21 for new listings daily.
- Extract owner/agent contact details and property type.
- Automate outreach through CRM integration.
- Competitive Brokerage Benchmarking
Agencies analyze their competitors' listing performance to improve their own sales tactics.
- Scrape listing counts for all competing brokerages in a city.
- Track how long it takes for listings to move to 'Under Contract'.
- Identify gaps in competitor service areas.
- Retail Site Selection
Commercial investors use the data to find the best locations for new retail stores based on local property values.
- Scrape commercial listings for specific zoning types.
- Analyze nearby residential property values to gauge local wealth.
- Map out listing densities to find untapped areas.
Supercharge your workflow with AI Automation
Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.
Pro Tips for Scraping Century 21
Expert advice for successfully extracting data from Century 21.
Use Residential Proxies
Standard data center IPs are quickly identified and banned; high-quality residential proxies are necessary to mimic real home users.
Implement Stealth Browsing
When using automation tools, use stealth plugins to hide headless browser flags that Akamai and CloudFront check for.
Throttle Your Requests
Avoid high-frequency scraping. Add random delays of 2-10 seconds between requests to simulate human browsing patterns.
Monitor XHR Traffic
Inspect the Network tab to find internal JSON API requests; often the data is loaded via endpoints that are easier to parse.
Handle Lazy Loading
Many listing details and images only load as you scroll; ensure your scraper performs a slow scroll to trigger data loading.
Rotate User-Agents
Always rotate through a pool of modern, real-world User-Agent strings to avoid simple signature detection.
Testimonials
What Our Users Say
Join thousands of satisfied users who have transformed their workflow
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
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Frequently Asked Questions About Century 21
Find answers to common questions about Century 21