HomeHarvest
HomeHarvest is a Python library that attracts real estate data via Realtor.com and configures that data in MLS listing format. Users can query data using various filters such as location, price, square meters, number of rooms, and time interval. The data obtained can be exported as Pandas DataFrame, CSV, Excel, or Pydantic objects.
ZacharyHampton · Real Estate & Property Management
Common commercial products in this category: Yardi, AppFolio, Buildium
- You can take it in Pandas DataFrame format by filtering out the rental or sale housing data in a particular region.
- You can create customized data sets for the real estate market using criteria such as price, square meters, and the year of construction.
- Using time-based filtering features, you can track real estate listings that have been updated in recent hours or days.
- • NeutralGitHub Issue
Too many 403 error responses
“I get this stack trace error with or without a proxy. ``` urllib3.exceptions.ResponseError: too many 403 error responses The above exception was the direct cause of the following exception: Traceback (most recent call last): File…”
- ↑ PositiveGitHub Issue
Running it directly through python automatically
“Hi First of all i want to thank you for this amazing tool. i am trying run this as a python script that will run automatically but I guess I am doing something wrong. it works great with PYCharm but when I try to run it through the command line or terminal I am getting errors…”
My note
Alternative pages
More in: Real Estate & Property Management
- Fredy★ 1,601 · today
- Property Web Builder★ 648 · today
- Condo★ 427 · yesterday
- RealEstate CRM★ 365 · 1 yr ago
- Loca★ 241 · 4 yr ago
- Movinin★ 232 · today