Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

MaSk887/Dubizzle-RealEstate-Automation-Pro

Domain:

socioeconomic

Record type:

software
Creator:
MaS
Host:
High-performance Python Scraper for Dubizzle Egypt. Automatically identifies 'Private User' listings, calculates price per meter, and exports clean, duplicate-free data to Excel. Designed for real estate investors and data analysts. --- # 🏠 Real Estate Scraper (Owner Finder V11 - Pro Edition) An advanced, multi-threaded logic automation tool designed to dominate the **Dubizzle Egypt (formerly OLX)** real estate market. This Pro version doesn't just find ads; it deep-scans listings to identify **direct owners** and calculates key investment metrics automatically. --- ## 🚀 Pro Features & Enhancements ### 1. **Advanced Data Extraction** The scraper now extracts detailed property specifications directly from the listing cards: * **Bedrooms & Bathrooms**: Automatically parses "غرف" and "حمام". * **Property Area**: Captures the exact "مساحة" in square meters. * **Smart Calculation**: Automatically calculates the **Price per Meter (سعر المتر)** to help you identify the best deals. ### 2. **Deep Owner Verification Logic** The script goes beyond the surface. It visits each individual ad URL and performs a full-text scan for the "Private User" (**مستخدم خاص**) tag, effectively filtering out brokers, offices, and companies. ### 3. **Intelligent Freshness Filter** Using a custom Arabic date interpreter in `Help_Fun.py`, the script converts relative dates (e.g., "منذ ساعة", "أمس") into logical data. It only processes ads within your defined `MAX_DAYS` window to save time and resources. ### 4. **Elite Anti-Ban System** * **Cloudscraper Integration**: Bypasses modern bot detection mechanisms. * **Dynamic Header Rotation**: Uses a diversified `HEADERS_LIST` with different browsers (Chrome, Firefox, Edge) and platforms (Windows, Mac, Linux) to avoid footprinting. * **Safety Delays**: Implements `safe_delay()` with randomized intervals to mimic natural human browsing patterns. --- ## 🛠️ Technical Architecture * **`main_scr.py`**: The central controller. Orchestrates the scraping flow and sorts results by **Price per Meter** before saving. * **`Pre.py`**: The engine's heart. Contains the global settings, comprehensive area dictionary (Slugs), and the rotating header pool. * **`SCR_Fun.py`**: The h …

Visit

github.com

Tags

automationdata-analysisdubizzlepythonreal-estateweb-scraping

Similar

basmalafatooh2005/dubizzle-egypt-price-predictionAliMohElsayed/Dubizzle-Real-Estat-_NTIikramawol/RealEstateGigiMW/egypt-realestate-pipelinemo7medSa3d/Real-Estate-Price-Prediction-Project-in-Egypt-Dubizzle-81melody/algerian-realestate-ner-dataset

basmalafatooh2005/dubizzle-egypt-price-prediction

Web scraping + Linear Regression model to predict apartment prices in Egypt using real Dubizzle list

AliMohElsayed/Dubizzle-Real-Estat-_NTI

final project for the Data Analysis Track at the National Telecommunication Institute (NTI)! Our tea

ikramawol/RealEstate

🏠 NexaHomes is a web-based platform designed to help users discover, buy, and sell properties in Et

GigiMW/egypt-realestate-pipeline

# Egypt Real Estate Pipeline An end-to-end data engineering pipeline that scrapes live apartment li

mo7medSa3d/Real-Estate-Price-Prediction-Project-in-Egypt-Dubizzle-

This project focuses on building a high-accuracy Machine Learning Regression Model to predict reside

81melody/algerian-realestate-ner-dataset

This is a specialized Named Entity Recognition dataset extracted from the complex reality of the Alg