mirror of
https://github.com/nprasad2077/nbaStats.git
synced 2026-11-04 17:19:54 +00:00
57 lines
1.4 KiB
Python
57 lines
1.4 KiB
Python
import requests
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from bs4 import BeautifulSoup
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import csv
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import json
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import os
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team = input('What team? ')
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season = input('What season? ')
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url_make = 'https://www.basketball-reference.com/teams/' + team + '/' + season + '.html'
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url = 'https://www.basketball-reference.com/teams/HOU/2018.html'
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lakers = 'https://www.basketball-reference.com/teams/LAL/2020.html'
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response = requests.get(url_make)
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soup = BeautifulSoup(response.text, "html.parser")
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table = soup.find("table", {"id": "per_game"})
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# rows = table.find_all("tr")
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header_row = table.find("thead").find("tr")
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rows = table.find("tbody").find_all("tr")
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# Extract coloumn headers
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headers = [col.text.strip() for col in header_row.find_all("th")][1:]
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# extract rows as dictionaries
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data = []
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for row in rows:
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cols = row.find_all("td")
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cols = [col.text.strip() for col in cols]
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row_dict = dict(zip(headers, cols))
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data.append(row_dict)
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## locate current directory
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script_dir = os.path.dirname(os.path.abspath(__file__))
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## CSV file
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csv_output_path = os.path.join(script_dir, '..', 'data', 'output.csv')
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with open(csv_output_path, "w", newline="") as csvfile:
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writer = csv.DictWriter(csvfile, fieldnames =headers)
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writer.writeheader()
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for row in data:
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writer.writerow(row)
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# Save as JSON
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json_output_path = os.path.join(script_dir, '..', 'data', 'output.json')
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with open(json_output_path, 'w') as jsonfile:
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json.dump(data, jsonfile)
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print('success') |