A scalable Python library that leverages Redfin's unofficial Stringray API to quickly scrape real estate data.

A database of zip codes is required to search for City, State values

It is strongly recommended to download this free version in .csv format

Parameters for the RedfinScraper class can be controlled using an optional config.json file

Sample Config

pip3 install -U redfin-scraper

from redfin_scraper import RedfinScraper

scraper = RedfinScraper()

scraper.setup(zip_database_path:str, multiprocessing:bool=False)

zip_database_path: Binary path to the zip_code_database.csv

multiprocessing: Allow for multiprocessing

scraper.scrape(city_states:list[str]=None, zip_codes:list[str], sold:bool=False, sale_period:str=None, lat_tuner:float=1.5, lon_tuner:float=1.5)

city_states: List of strings representing US cities formatted as "City, State"

zip_codes: List of strings representing US zip codes

sold: Select whether to scrape for-sale data (default) or sold data

sale_period: Must be selected whenever sold is True (1mo, 3mo, 6mo, 1yr, 3yr, 5yr)

lat_tuner: Represents # of standard deviations beyond the local latitude average that a zip code may exist within

lon_tuner: Represents # of standard deviations beyond the local longitude average that a zip code may exist within

scraper.get_data(id:str)

id: IDs are indexed at 1 and increase in the format "D00#"

Multiprocessing can result in the consumption of all available CPU resources for an extended period of time

Unethical use of this library can result in Redfin taking disciplinary action against your IP address

Requests for large amounts of data (# of zip codes > 2,000) should be split into separate requests

The package.log file can be used to investigate unexpected results