Skip to content
✂️ Scrapes the website "numbeo" for Cost of living components based on locations.This folder contains a web-scraper to scrape Numbeo for cost of living data. It will scrape all the data that Numbeo will allow you to for a given country and location
Python
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
All_Cities_Malaysia_Singapore_Australia
.gitignore
CODE_OF_CONDUCT.md
CONTRIBUTING.md
ISSUE_TEMPLATE.md
LICENSE
README.md
requirements.txt
scrape.py
scrape_healthcare.py
scrape_pollution.py
transportation_prediction.py

README.md

Numbeo Web-Scraper

This folder contains a web-scraper to scrape Numbeo for cost of living data. It will scrape all the data that Numbeo will allow you to for a given country and location (Numbeo fairly prevents scrapers, and so you won't get much if you try). It will give back all of the information that you could get for every location within a search query.

Usage

This scraper is built to scape Numbeo for an inputted country and location. To use it, you can simply call it from the command line as follows:

python scrape.py   for scrapping all cost of living information
python scrape_healthcare.py     for scrapping only health care components
python scrape_pollution.py     for scrapping all pollution data

API Accessible

api = API(URL, "country")

api.get_single_city("location")

Cost Calculation by distance for Transportaion

Decision tree model in scikit-learn is implemented. Decision tree is an appropriate model for a given problem. Interpret a tree diagram. Tuned a decision tree model and explained how tuning impacts the model. Advanced Machine Learning is used for Predictions

python transportation_prediction.py
You can’t perform that action at this time.