I will scrape real estate data and property listings
Python and Django Developer, AI and API Specialist
About this Gig
Looking for accurate real estate data for market analysis or investment research?
I provide clean, structured property listing datasets scraped directly from public real estate portals using custom Python scripts.
Data Fields Provided:
Property Title & Full Address
Listing Price & Price per Sqft / m²
Bedrooms, Bathrooms & Total Area
Property Type (House, Apartment, Commercial, Land)
HOA Fees & Property Taxes (if available)
Agent Name & Contact Details (Phone/Email/Agency)
Description & Direct Listing URL
Packages Overview:
BASIC ($30): 1 Portal | Up to 100 Pages (~1k listings)
STANDARD ($75): Up to 2 Portals | Up to 300 Pages (~2.5k listings)
PREMIUM ($150): Up to 3 Portals | Up to 1,000 Pages (~10k listings)
Why Me?
Clean & Deduplicated Data (Excel / CSV / Google Sheets)
Global Coverage (Target any city, region or public portal)
Fast & Reliable Python Execution
How It Works:
1. Provide target location/city and portal URL.
2. Specify filters (price limits, property type, etc.).
3. Get your clean, ready-to-use dataset!
Need a custom offer or bigger volume? Send me a message!
Technology:
Python
•
Selenium
•
Beautiful soup
•
Playwright
•
Pandas
Technique:
Automated
FAQ
Which real estate portals can you scrape?
I can scrape almost any public real estate website or listing directory globally, as long as the data is publicly accessible.
What format will the property data be delivered in?
You will receive the dataset neatly organized in Excel (.xlsx), CSV, or Google Sheets — whichever fits your workflow best.
Can you filter listings by specific property types or price ranges?
Yes! You can specify target locations, property types, price limits, or any available portal filters.
