Countries web scraper

Know your city: SDI's Community Driven Data on Slums
Scrapping data from sdinet.org and exporting It to csv and shp files

Table of Content

• Countries web scraper
  • Tools
  • How to run
  • Author

Tools

1. Python
2. beautifulsoup4
3. requests
4. wget

How to run

• Enter the directory where the script is located then type the following to the console

$ git clone https://github.com/sherif-abdallah/countries-web-scraper countries-web-scraper

• Install Python 3.8 venv, pip and compiler

$ sudo apt-get install python3.8 python3.8-venv python3-venv

• Create a virtual environment to install dependencies in and activate it:

$ python3.8 -m venv venv
$ source venv/bin/activate

• Then install the dependencies:

(venv)$ cd countries-web-scraper
(venv)$ python -m pip install --upgrade pip
(venv)$ python -m pip install -r requirements.txt

Note the (venv) in front of the prompt. This indicates that this terminal session operates in a virtual environment set up by virtualenv.

Replace kenya in those arguments --output-file and ?country= with the country name you want to scrape

wget --output-file=kenya.txt --recursive --spider --include-directories="/settlement/,/explore-our-data/country/" http://sdinet.org/explore-our-data/country/?country=kenya

• Finally run The Software

(venv)$ python main.py

Author

Sherif Abdullah