python - 从网站上的表格中获取数据

Question

我需要有关从网页上的表格中提取或废弃数据的帮助。我用的是 BeautifulSoup 。无法提取表号为 的表。 6.如有任何帮助，我们将不胜感激:

需要表 - 6 中的所有行数据。一个网页中有多个表格，但我只需要合规性信息的数据，但不知道该怎么做。

URL 为 here

我的代码如下:

link = ["http://ec.europa.eu/environment/ets/ohaDetails.do?returnURL=&languageCode=en&accountID=&registryCode=&buttonAction=all&action=&account.registryCode=&accountType=&identifierInReg=&accountHolder=&primaryAuthRep=&installationIdentifier=&installationName=&accountStatus=&permitIdentifier=&complianceStatus=&mainActivityType=-1&searchType=oha&resultList.currentPageNumber=1&nextList=Next%C2%A0%3E&selectedPeriods="]

for pagenum, links in enumerate(link[start:end]):

  print(links)
  r = requests.get(links)

  time.sleep(random.randint(2,5)) 

  soup = BeautifulSoup(r.content,"lxml")

  tree = html.fromstring(str(soup))

  value = []

  data_block = soup.find_all("table", {"class": "bordertb"})

  print (data_block)

  output = []

  for item in data_block:

    table_data = item.find_all("td", {"class": "tabletitle"})[0].table

    value.append([table_data])

    print (value)


  with open("Exhibit_2_EXP_data.tsv", "wb") as outfile:

    outfile = unicodecsv.writer(outfile, delimiter="\t")

   outfile.writerow(["Data_Output"])

   for item in value:

     outfile.writerow(item)

Answer 1

试试这个。下面的脚本应该从该表中获取内容。为了使其具体化，您应该从上一个表开始操作(因为它有一个唯一的 ID)，然后使用适当的方法您可以访问所需表的内容。以下是我为实现相同目标所做的事情:

import requests
from bs4 import BeautifulSoup

url = "http://ec.europa.eu/environment/ets/ohaDetails.do?returnURL=&languageCode=en&accountID=&registryCode=&buttonAction=all&action=&account.registryCode=&accountType=&identifierInReg=&accountHolder=&primaryAuthRep=&installationIdentifier=&installationName=&accountStatus=&permitIdentifier=&complianceStatus=&mainActivityType=-1&searchType=oha&resultList.currentPageNumber=1&nextList=Next%C2%A0%3E&selectedPeriods="

r = requests.get(url)
soup = BeautifulSoup(r.text,"lxml")
for items in soup.find(id="tblInstallationContacts").find_next_sibling().find_all("tr")[:-5]:
    data = [item.get_text(strip=True) for item in items.find_all("td")]
    print(data)