The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Get Real Estate Property Listing data
I provide professional web scraping services that extract clean, structured Real estate data and realtor leads from Zillow, Realtor.com, and Redfin using Python automation.
👉Property Data I Extract:
Property URL, Full Address, Price & Zestimate
Bedrooms, Bathrooms, Square Footage, Lot Area, Year Built
Property Type (For Sale, Sold, Foreclosure, For Rent)
Days on Market, Latitude/Longitude, Listing Status
👉Realtor & Agent Leads I Deliver:
Agent / Realtor Name, Agency, Phone & Email
Brokerage, License State, Office Address
Specialties, Experience, or Ratings
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Trending
retrofuturism
Share your favorite designs from the past exploring the distant future. Or your own take on the aesthetic 🚀
halftone
Dots. Texture. Grain. Let's see your designs using the halftone technique.
Midjourney
Creatives are showing off what they're making with Midjourney.
colorgrade
Video editors sound off: How do you enhance the mood of your video in color grading?
Related posts
E-Commerce Intelligence & Predictive Analytics Platform
This is a banking credit dashboard I built from scratch to turn messy loan application records into clear, actionable visuals. The main goal was to analyze what factors actually cause a loan to get approved or rejected.
Here is how I worked on this project manually:
Data Formatting: I cleaned and sorted the raw dataset in Excel, fixing missing rows and organizing the numbers for a flawless setup.
KPI Calculation: I calculated core credit metrics, such as total loan amounts, average annual income, average CIBIL scores (599.9), and the final approval percentage (62%).
Insightful Charts: I created custom visuals to show important comparisons, like loan approval rates based on education levels and a breakdown of residential vs commercial assets.
I designed this entire dashboard on a dark background to make the charts stand out and look clean. Anyone can click the filters on the side to update the whole screen instantly.
Tools used: Advanced Excel (Pivot Tables, Slicers, Data Visualization, Data Analysis)
This is a retail sales and profit dashboard I built from scratch to turn complex spreadsheet data into easy-to-read visuals. The main goal of this project was to make a messy dataset meaningful so a business owner can instantly check how their store is performing.
Here is how I worked on this project:
Data Cleaning: I went through the entire raw file in Excel, filtered out bad entries, and organized the rows to make sure the dashboard numbers are completely accurate.
KPI Tracking: I used Excel formulas to pull out core business metrics, such as total revenue, total orders, and the overall profit margin (12.47%).
Designing Charts: I set up clean visuals to show key trends, like sales by shipping modes, customer segments, and a breakdown of top-performing products.
I also added dynamic slicers, so you can click on any region or year and the whole screen updates automatically. I handled this entire project manually from start to finish.
Tools used: Advanced Excel (Pivot Tables, Slicers, Formulas, Dashboard Design)
