The latest articles on DEV Community by Emmanuel Taiwo (@codej). https://dev.to/codej https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1346751%2F9ca90689-7408-4e99-9d94-9d2d6e9f1ed8.jpeg https://dev.to/codej en Emmanuel Taiwo Mon, 26 May 2025 05:21:26 +0000 https://dev.to/codej/realyze-realtime-realtime-real-estate-property-finder-56ca https://dev.to/codej/realyze-realtime-realtime-real-estate-property-finder-56ca <p>This is a submission for the <a href="https://dev.to/challenges/brightdata-2025-05-07">Bright Data AI Web Access Hackathon</a></p> <p>What I Built<br> We built Realyze — an AI-powered real estate chatbot that helps users find the perfect home just by describing what they want. Whether you're looking for a "3-bedroom apartment in Lagos with a sea view" or a "budget-friendly studio near Yaba," Realyze goes beyond static listings to fetch real-time property data from the web.</p> <p>It combines conversational AI with web scraping to deliver up-to-date property recommendations, eliminating the frustration of outdated or irrelevant listings. Think of it as your personal real estate agent, available 24/7.</p> <p>Realyze uses:</p> <p>🧠 CrewAI to coordinate multi-agent collaboration</p> <p>🕸️ Crawl4AI for scraping logic orchestration</p> <p>🚪 Bright Data Web Unlocker API to access real estate websites in real time</p> <p>💬 MongoDB for persistent chatbot memory</p> <p>🌐 Django (backend) and React (frontend)</p> <p>Demo<br> GitHub Repository: <a href="https://github.com/T4910/purpletalk-interface-ai/" rel="noopener noreferrer">https://github.com/T4910/purpletalk-interface-ai/</a></p> <p>Video demo: <a href="https://youtu.be/GgbcCl3ACGs" rel="noopener noreferrer">https://youtu.be/GgbcCl3ACGs</a></p> <p>View preview in the comment section</p> <p>How I Used Bright Data's Infrastructure<br> Bright Data’s Web Unlocker API was critical to the success of Realyze. Real estate websites often have anti-scraping mechanisms or CAPTCHAs that block bots. Bright Data seamlessly bypassed these barriers, ensuring that we could:</p> <p>Scrape multiple real estate websites in real time</p> <p>Maintain reliability without being blocked</p> <p>Scale our scraping agents without worrying about proxies, headers, or captchas</p> <p>This infrastructure allowed us to focus more on building the intelligence and UX of Realyze, rather than the nitty-gritty of anti-bot evasion.</p> <p>Performance Improvements<br> Using real-time web data access gave our chatbot a serious edge. Traditional approaches that rely on static datasets or scheduled scrapers often serve outdated listings. But Realyze:</p> <p>Delivers fresh, real-time property listings</p> <p>Adapts instantly to market changes and new listings</p> <p>Improves user trust and satisfaction by showing only available properties</p> <p>Without Bright Data, this level of responsiveness wouldn’t have been possible.</p> <p>If you liked what we built, check out Bright Data’s GitHub and show them some love! 🌟</p> <p>Team Credits:</p> <p>oluwaseyifunmi_oshinfowok<br> codej</p> brightdatachallenge webdev programming