<gh_stars>0
"""
author: @kim3

This is a template scraping script that you need to finish, but it provides a good place to start
This script won't run right out of the box
Use the pandas option for simpler tables!
"""

# MIT License
#
# Copyright (c) 2021 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.

# Hint: You can't always tell how complex a table is until you look at the HTML.

import pandas as pd
import requests

url = 'paste a valid URL here!'

dfCount = pd.read_html(requests.get(url, headers = {'User-agent': 'Mozilla/5.0'}).text)
# By default, this will only grab the first table that it sees. Change the 0 below to whichever table you need to get (starting at 0)
df = dfCount[0]

# Specify where to output your file, what the file should be named, and what extension (probably .csv) to use
df.to_csv('specify output here')
