ESPN. com Python网页抓取问题

Question

我试图为所有大学足球队的名单收集数据，因为我想根据他们的名单组成对球队表现进行一些分析。

我的脚本在第一页上工作，它迭代每个团队，并可以打开每个团队的名册链接，但是然后我在名册页面上为一个团队运行的美丽汤命令继续抛出索引错误。当我查看超文本标记语言时，似乎我正在编写的命令应该工作，但当我从美丽的汤中打印页面源时，我在Chrome的开发人员工具中看不到什么。这是JS被用来提供内容的一些实例吗？如果是这样，我以为Selenium能绕过这个？

我的代码。。。

import requests
import csv
from bs4 import BeautifulSoup
from selenium import webdriver

teams_driver = webdriver.Firefox()
teams_driver.get("http://www.espn.com/college-football/teams")
teams_html = teams_driver.page_source
teams_soup = BeautifulSoup(teams_html, "html5lib")

i = 0

for link_html in teams_soup.find_all('a'):
    if link_html.text == 'Roster':
        roster_link = 'https://www.espn.com' + link_html['href']

        roster_driver = webdriver.Firefox()
        roster_driver.get(roster_link)
        roster_html = teams_driver.page_source
        roster_soup = BeautifulSoup(roster_html, "html5lib")

        team_name_html = roster_soup.find_all('a', class_='sub-brand-title')[0]
        team_name = team_name_html.find_all('b')[0].text

        for player_html in roster_soup.find_all('tr', class_='oddrow'):
            player_name = player_html.find_all('a')[0].text
            player_pos = player_html.find_all('td')[2].text
            player_height = player_html.find_all('td')[3].text
            player_weight = player_html.find_all('td')[4].text
            player_year = player_html.find_all('td')[5].text
            player_hometown = player_html.find_all('td')[6].text

            print(team_name)
            print('\t', player_name)

        roster_driver.close()

teams_driver.close()

Answer 1

在for循环中，您使用的是第1页的html（floster\u html=teams\u driver.page\u source），因此当您尝试选择team\u name\u html的第1项时，会出现索引错误，因为find\u all返回一个空列表。

此外，您不需要打开所有的Firefox实例，您可以在拥有html时关闭驱动程序。

teams_driver = webdriver.Firefox()
teams_driver.get("http://www.espn.com/college-football/teams")
teams_html = teams_driver.page_source
teams_driver.quit()

但是您不必为此任务使用selenium，您可以通过请求和bs4获取所有数据。

import requests
from bs4 import BeautifulSoup

r = requests.get("http://www.espn.com/college-football/teams")
teams_soup = BeautifulSoup(r.text, "html5lib")

for link_html in teams_soup.find_all('a'):
    if link_html.text == 'Roster':
        roster_link = 'https://www.espn.com' + link_html['href']
        r = requests.get(roster_link)
        roster_soup = BeautifulSoup(r.text, "html5lib")

        team_name = roster_soup.find('a', class_='sub-brand-title').find('b').text
        for player_html in roster_soup.find_all('tr', class_='oddrow'):
            player_name = player_html.find_all('a')[0].text
            player_pos = player_html.find_all('td')[2].text
            player_height = player_html.find_all('td')[3].text
            player_weight = player_html.find_all('td')[4].text
            player_year = player_html.find_all('td')[5].text
            player_hometown = player_html.find_all('td')[6].text
            print(team_name, player_name, player_pos, player_height, player_weight, player_year, player_hometown)