django app install

src/scraper.py

@@ -1,48 +0,0 @@
-import requests
-from bs4 import BeautifulSoup
-import csv
-import json
-import os
-
-url = 'https://www.basketball-reference.com/teams/HOU/2018.html'
-lakers = 'https://www.basketball-reference.com/teams/LAL/2020.html'
-
-response = requests.get(url)
-
-soup = BeautifulSoup(response.text, "html.parser")
-
-table = soup.find("table", {"id": "per_game"})
-# rows = table.find_all("tr")
-header_row = table.find("thead").find("tr")
-rows = table.find("tbody").find_all("tr")
-
-# Extract coloumn headers
-headers = [col.text.strip() for col in header_row.find_all("th")][1:]
-
-
-# extract rows as dictionaries
-data = []
-for row in rows:
-    cols = row.find_all("td")
-    cols = [col.text.strip() for col in cols]
-    row_dict = dict(zip(headers, cols))
-    data.append(row_dict)
-    
-## locate current directory
-script_dir = os.path.dirname(os.path.abspath(__file__))
-
-## CSV file
-
-csv_output_path = os.path.join(script_dir, '..', 'data', 'output.csv')
-
-with open(csv_output_path, "w", newline="") as csvfile:
-    writer = csv.DictWriter(csvfile, fieldnames =headers)
-    writer.writeheader()
-    for row in data:
-        writer.writerow(row)
-
-# Save as JSON
-
-json_output_path = os.path.join(script_dir, '..', 'data', 'output.json')
-with open(json_output_path, 'w') as jsonfile:
-    json.dump(data, jsonfile)