This basic scraper is for 2nd TC capstone project. It scrapes listings of flats from aruodas.lt. Its main objective is to return pandas DataFrame consisting of relevant information on flats.
DataFrame content:
- neighborhood
- price
- price_per_m2
- rooms
- area_m2
- floor
- max_floors
- year
- build_material
- heating_type
- condition
pip install git+https://github.com/Martis6/TC24_scraper.git
- Import the class
from scraper.scraper import Scraper
- Create an object and use the functions
butai = Scraper(category="butai", city="vilniuje")
butai.get_total()
Scraper has a MIT-style license, as found in the LICENSE file.