jlgrego/Web-Scraping-vivareal.com.br

Script do meu projeto de conclusão de curso no MBA em Data Science e Analytics pela USP/Esalq.

29
/ 100
Experimental

This project helps real estate appraisers and investors in São Paulo, Brazil, understand property values. It takes publicly available real estate listings and socio-economic data as input. The output includes geocoded property locations, analysis of property values in relation to metro stations and neighborhood characteristics, and spatial correlation insights. Real estate professionals and urban planners can use this to make informed decisions.

No commits in the last 6 months.

Use this if you need to analyze the spatial dynamics of the São Paulo real estate market, understand how proximity to metro lines impacts property values, or identify areas with potential for future appreciation based on their surroundings.

Not ideal if you are looking for real-time property valuation for individual properties, or if your analysis focuses on real estate markets outside of São Paulo.

real-estate-appraisal market-analysis urban-planning property-investment spatial-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 16 / 25

How are scores calculated?

Stars

12

Forks

6

Language

R

License

Category

scraper

Last pushed

Oct 12, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/perception/jlgrego/Web-Scraping-vivareal.com.br"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.