Python 如何提取整个表并将其存储在CSV文件中？
我正在尝试刮取整个表，并希望将其存储在.csv文件中。 当我试图刮取这些数据时，它显示了一个错误，因为找不到表 这是我的密码Python 如何提取整个表并将其存储在CSV文件中？,python,csv,web-scraping,extract,screen-scraping,Python,Csv,Web Scraping,Extract,Screen Scraping,我正在尝试刮取整个表，并希望将其存储在.csv文件中。 当我试图刮取这些数据时，它显示了一个错误，因为找不到表 这是我的密码 from pandas.io.html import read_html page = 'https://games.crossfit.com/leaderboard/open/2020?view=0&division=1&scaled=0&sort=0' tables = read_html(page, attrs={"class&
from pandas.io.html import read_html
page = 'https://games.crossfit.com/leaderboard/open/2020?view=0&division=1&scaled=0&sort=0'
tables = read_html(page, attrs={"class":"desktop athletes"})
print ("Extracted {num} tables".format(num=len(tables)))
import requests
r = requests.get('https://games.crossfit.com/competitions/api/v1/competitions/open/2020/leaderboards?view=0&division=1&scaled=0&sort=0')
data = r.json()
for row in data['leaderboardRows']:
print(row['entrant']['competitorName'], row['overallScore'], [(x['rank'],x['scoreDisplay']) for x in row['scores']])
Patrick Vellner 64 [('13', '8:38'), ('19', '988 reps'), ('12', '6:29'), ('18', '16:29'), ('2', '10:09')]
Mathew Fraser 74 [('8', '8:28'), ('40', '959 reps'), ('3', '6:08'), ('2', '14:22'), ('21', '10:45')]
Lefteris Theofanidis 94 [('1', '8:05'), ('3', '1021 reps'), ('13', '6:32'), ('4', '15:00'), ('73', '11:11')]
# ... more ...
如下所述，您可以访问api以获取数据。要另存为CSV，您需要使用json格式来获取所需的内容，例如，展平嵌套数据。有两种方法，一种是将其完全展平，使每一行代表每个参赛者，另一种是为每个参赛者的顺序分数分别安排一行 唯一的区别是，如果你选择a，你将有一个非常宽的表，但没有重复的数据，如果你选择b，你将有一个长表，重复的数据 因为它不是太大的文件，所以我选择了选项b，这样您就可以始终按特定列或筛选器进行分组：
import requests
import pandas as pd
r = requests.get('https://games.crossfit.com/competitions/api/v1/competitions/open/2020/leaderboards?view=0&division=1&scaled=0&sort=0')
data = r.json()
results = pd.DataFrame()
df = pd.DataFrame(data['leaderboardRows'])
for idx, row in df.iterrows():
entrantData = pd.Series()
scoresData = pd.DataFrame()
entrantResults = pd.DataFrame()
for idx2, each in row.iteritems():
if type(each) == dict:
temp = pd.DataFrame.from_dict(each, orient='index')
entrantData = entrantData.append(temp)
elif type(each) == list:
temp2 = pd.DataFrame(each)
scoresData = scoresData.append(temp2, sort=True).reset_index(drop=True)
else:
entrantData = entrantData.append(pd.Series(each, name=idx2))
entrantResults = entrantResults.append(scoresData, sort=True).reset_index(drop=True)
entrantResults = entrantResults.merge(pd.concat([entrantData.T] *5, ignore_index=True), left_index=True, right_index=True)
results = results.append(entrantResults, sort=True).reset_index(drop=True)
results.to_csv('file.csv', index=False)
我不熟悉堆栈溢出，敬请帮助。我认为该表是使用ajax生成的，因为它是动态的，因此read_html无法读取iTunes selenium动态生成的内容。仅供参考，它是scrape和scraping，scraped，scraper不是scrape。”“删除”意味着扔掉。谢谢，你的评论帮助我正确定位了URL。@因为“网络”选项卡中有多个URL，你是如何知道这是一个的？当你在“网络”选项卡中单击“URL”时，在选项卡的右部，你应该会看到更多信息，你可以看到它从服务器获取的数据。这样您就可以找到正确的url。在tab网络中，您还可以过滤URL—您可以只显示xhr AJAX请求，然后检查的URL就更少了。
print (results.head(15).to_string())
affiliate affiliateId affiliateName age breakdown competitorId competitorName countryChampion countryOfOriginCode countryOfOriginName divisionId drawBlueHR firstName gender heat height highlight judge lane lastName mobileScoreDisplay nextStage ordinal overallRank overallScore postCompStatus profilePicS3key rank scaled score scoreDisplay scoreIdentifier status time video weight
0 CrossFit Nanaimo 1918 CrossFit Nanaimo 30 10 rounds 158264 Patrick Vellner False CA Canada 1 NaN Patrick M 71 in False Dallyn Giroux Vellner 1 1 64 d471c-P158264_7-184.jpg 13 0 11800382 8:38 9d3979222412df2842a1 ACT 518 0 195 lb
1 CrossFit Soul Miami 1918 CrossFit Nanaimo 30 29 rounds +\n2 thrusters\n 158264 Patrick Vellner False CA Canada 1 NaN Patrick M 71 in False Lamar Vernon Vellner 2 1 64 d471c-P158264_7-184.jpg 19 0 1009880000 988 reps 9bd66b00e8367cc7fd0c ACT NaN 0 195 lb
2 CrossFit Nanaimo 1918 CrossFit Nanaimo 30 165 reps 158264 Patrick Vellner False CA Canada 1 NaN Patrick M 71 in False Jason Lochhead Vellner 3 1 64 d471c-P158264_7-184.jpg 12 0 1001650151 6:29 2347b4cb7339f2a13e6c ACT 389 0 195 lb
3 CrossFit Nanaimo 1918 CrossFit Nanaimo 30 240 reps 158264 Patrick Vellner False CA Canada 1 NaN Patrick M 71 in False Dallyn Giroux Vellner 4 1 64 d471c-P158264_7-184.jpg 18 0 1002400211 16:29 bcfd3882df3fa2e99451 ACT 989 0 195 lb
4 CrossFit New England 1918 CrossFit Nanaimo 30 240 reps 158264 Patrick Vellner False CA Canada 1 NaN Patrick M 71 in False Matt O'Keefe Vellner 5 1 64 d471c-P158264_7-184.jpg 2 0 1002400591 10:09 4bb25bed5f71141da122 ACT 609 0 195 lb
5 CrossFit Mayhem 3220 CrossFit Mayhem 30 10 rounds 153604 Mathew Fraser True US United States 1 NaN Mathew M 67 in False darren hunsucker Fraser 1 2 74 9e218-P153604_4-184.jpg 8 0 11800392 8:28 18b5b2e137f00a2d9d7d ACT 508 0 195 lb
6 CrossFit Soul Miami 3220 CrossFit Mayhem 30 28 rounds +\n4 thrusters\n3 toes-to-bars\n 153604 Mathew Fraser True US United States 1 NaN Mathew M 67 in False Daniel Lopez Fraser 2 2 74 9e218-P153604_4-184.jpg 40 0 1009590000 959 reps b96bc1b7b58fa34a28a1 ACT NaN 0 195 lb
7 CrossFit Mayhem 3220 CrossFit Mayhem 30 165 reps 153604 Mathew Fraser True US United States 1 NaN Mathew M 67 in False Jason Fernandez Fraser 3 2 74 9e218-P153604_4-184.jpg 3 0 1001650172 6:08 4f4a994a045652c894c5 ACT 368 0 195 lb
8 CrossFit Mayhem 3220 CrossFit Mayhem 30 240 reps 153604 Mathew Fraser True US United States 1 NaN Mathew M 67 in False Tasia Percevecz Fraser 4 2 74 9e218-P153604_4-184.jpg 2 0 1002400338 14:22 1a4a7d8760e72bb12d68 ACT 862 0 195 lb
9 CrossFit Mayhem 3220 CrossFit Mayhem 30 240 reps 153604 Mathew Fraser True US United States 1 NaN Mathew M 67 in False Kelley Jackson Fraser 5 2 74 9e218-P153604_4-184.jpg 21 0 1002400555 10:45 b4a259e7049f47f65356 ACT 645 0 195 lb
10 NaN 0 30 10 rounds 514502 Lefteris Theofanidis True GR Greece 1 NaN Lefteris M 171 cm False NaN Theofanidis 1 3 94 931eb-P514502_2-184.jpg 1 0 11800415 8:05 c8907e02512f42ff3142 ACT 485 1 81 kg
11 NaN 0 30 30 rounds +\n1 thruster\n 514502 Lefteris Theofanidis True GR Greece 1 NaN Lefteris M 171 cm False NaN Theofanidis 2 3 94 931eb-P514502_2-184.jpg 3 0 1010210000 1021 reps 63add31b22606957701c ACT NaN 1 81 kg
12 NaN 0 30 165 reps 514502 Lefteris Theofanidis True GR Greece 1 NaN Lefteris M 171 cm False NaN Theofanidis 3 3 94 931eb-P514502_2-184.jpg 13 0 1001650148 6:32 46d7cdb691c25ea38dbe ACT 392 1 81 kg
13 NaN 0 30 240 reps 514502 Lefteris Theofanidis True GR Greece 1 NaN Lefteris M 171 cm False NaN Theofanidis 4 3 94 931eb-P514502_2-184.jpg 4 0 1002400300 15:00 d49e55a2af5840740071 ACT 900 1 81 kg
14 NaN 0 30 240 reps 514502 Lefteris Theofanidis True GR Greece 1 NaN Lefteris M 171 cm False NaN Theofanidis 5 3 94 931eb-P514502_2-184.jpg 73 0 1002400529 11:11 d35c9d687eb6b72c8e36 ACT 671 1 81 kg