使用 BeautifulSoup 抓取 Web 数据 [英] Scraping Web data using BeautifulSoup

问题描述

我正在尝试从 rotowire.com 获取每场棒球比赛的降雨机会和温度/风速.抓取数据后，我会将其转换为三列 - 雨、温度和风.感谢另一位用户，我能够接近获取数据，但无法完全到达那里.我尝试了两种方法.

I am trying to scrape the rain chance and the temperature/wind speed for each baseball game from rotowire.com. Once I scrape the data, I will then convert it to three columns - rain, temperature, and wind. Thanks to another user, I was able to get close to getting the data but cannot quite get all the way there. I've tried two approaches.

第一种方法:

from bs4 import BeautifulSoup
import requests
import pandas as pd

url = 'https://www.rotowire.com/baseball/daily-lineups.php'
r = requests.get(url)
soup = BeautifulSoup(r.text, "html.parser")

weather = []

for i in soup.select(".lineup__bottom"):
    
    forecast = i.select_one('.lineup__weather-text').text
    weather.append(forecast)

返回:

['\n100% Rain\r\n                66°\xa0\xa0Wind 8 mph In                        ', '\n0% Rain\r\n                64°\xa0\xa0Wind 4 mph L-R                        ', '\n0% Rain\r\n                69°\xa0\xa0Wind 7 mph In                        ', '\nDome\r\n                In Domed Stadium\r\n                        ', '\n0% Rain\r\n                75°\xa0\xa0Wind 10 mph Out                        ', '\n0% Rain\r\n                68°\xa0\xa0Wind 9 mph R-L                        ', '\n0% Rain\r\n                82°\xa0\xa0Wind 9 mph                         ', '\n0% Rain\r\n                81°\xa0\xa0Wind 5 mph R-L                        ', '\nDome\r\n                In Domed Stadium\r\n                        ', '\n1% Rain\r\n                75°\xa0\xa0Wind 4 mph R-L                        ', '\n1% Rain\r\n                71°\xa0\xa0Wind 6 mph Out                        ', '\nDome\r\n                In Domed Stadium\r\n                        ']

我尝试过的第二种方法是:

The second approach I've tried is:

from bs4 import BeautifulSoup
import requests
import pandas as pd


url = 'https://www.rotowire.com/baseball/daily-lineups.php'

r = requests.get(url)
soup = BeautifulSoup(r.text, "html.parser")

#weather = []

for i in soup.select(".lineup__bottom"):
    
    forecast = i.select_one('.lineup__weather-text').text
    weather.append(forecast)
    #print(forecast)
    rain = i.select_one('.lineup__weather-text b:contains("Rain") ~ span').text

这将返回一个 AttributeError 'NoneType' 对象没有属性 'text'

推荐答案

要定位所有数据，请参见此示例:

To locate all the data, see this example:

import pandas as pd
import requests
from bs4 import BeautifulSoup


url = "https://www.rotowire.com/baseball/daily-lineups.php"
soup = BeautifulSoup(requests.get(url).content, "html.parser")

weather = []

for tag in soup.select(".lineup__bottom"):
    header = tag.find_previous(class_="lineup__teams").get_text(
        strip=True, separator=" vs "
    )
    rain = tag.select_one(".lineup__weather-text > b")
    forecast_info = rain.next_sibling.split()
    temp = forecast_info[0]
    wind = forecast_info[2]

    weather.append(
        {"Header": header, "Rain": rain.text.split()[0], "Temp": temp, "Wind": wind}
    )


df = pd.DataFrame(weather)
print(df)

输出:

        Header  Rain Temp     Wind
0   PHI vs CIN  100%  66°        8
1   CWS vs CLE    0%  64°        4
2    SD vs CHC    0%  69°        7
3   NYM vs ARI  Dome   In  Stadium
4   MIN vs BAL    0%  75°        9
5    TB vs NYY    0%  68°        9
6   MIA vs TOR    0%  81°        6
7   WAS vs ATL    0%  81°        4
8   BOS vs HOU  Dome   In  Stadium
9   TEX vs COL    0%  76°        6
10  STL vs LAD    0%  73°        4
11  OAK vs SEA  Dome   In  Stadium

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