[英]Converting from HTML to CSV using Python
我正在尝试将网站上的表格(完整的详细信息和下面的照片)转换为 CSV。 我从下面的代码开始,但表格没有返回任何内容。 我认为这一定与我不了解表格的正确命名约定有关,但任何额外的帮助将不胜感激,以实现我的最终目标。
import requests
from bs4 import BeautifulSoup
from selenium import webdriver
import pandas as pd
url = 'https://www.privateequityinternational.com/database/#/pei-300'
page = requests.get(url) #gets info from page
soup = BeautifulSoup(page.content,'html.parser') #parses information
table = soup.findAll('table',{'class':'au-target pux--responsive-table'}) #collecting blocks of info inside of table
table
Output: []
数据通过 Ajax 从外部 URL 加载。 您可以使用requests
/ json
模块来获取它:
import json
import requests
url = 'https://ra.pei.blaize.io/api/v1/institutions/pei-300s?count=25&start=0'
data = requests.get(url).json()
# uncomment this to print all data:
# print(json.dumps(data, indent=4))
for item in data['data']:
print('{:<5} {:<30} {}'.format(item['id'], item['name'], item['headquarters']))
印刷:
5611 Blackstone New York, United States
5579 The Carlyle Group Washington DC, United States
5586 KKR New York, United States
6701 TPG Fort Worth, United States
5591 Warburg Pincus New York, United States
1801 NB Alternatives New York, United States
6457 CVC Capital Partners Luxembourg, Luxembourg
6477 EQT Stockholm, Sweden
6361 Advent International Boston, United States
8411 Vista Equity Partners Austin, United States
6571 Leonard Green & Partners Los Angeles, United States
6782 Cinven London, United Kingdom
6389 Bain Capital Boston, United States
8096 Apollo Global Management New York, United States
8759 Thoma Bravo San Francisco, United States
7597 Insight Partners New York, United States
867 BlackRock New York, United States
5471 General Atlantic New York, United States
6639 Permira Advisers London, United Kingdom
5903 Brookfield Asset Management Toronto, Canada
6473 EnCap Investments Houston, United States
6497 Francisco Partners San Francisco, United States
6960 Platinum Equity Beverly Hills, United States
16331 Hillhouse Capital Group Hong Kong, Hong Kong
5595 Partners Group Baar-Zug, Switzerland
和 selenium 版本:
from bs4 import BeautifulSoup
from selenium import webdriver
import pandas as pd
import time
driver = webdriver.Firefox(executable_path='c:/program/geckodriver.exe')
url = 'https://www.privateequityinternational.com/database/#/pei-300'
driver.get(url) #gets info from page
time.sleep(5)
page = driver.page_source
driver.close()
soup = BeautifulSoup(page,'html.parser') #parses information
table = soup.select_one('table.au-target.pux--responsive-table') #collecting blocks of info inside of table
dfs = pd.read_html(table.prettify())
df = pd.concat(dfs)
df.to_csv('file.csv')
print(df.head(25))
印刷:
Ranking Name City, Country (HQ)
0 1 Blackstone New York, United States
1 2 The Carlyle Group Washington DC, United States
2 3 KKR New York, United States
3 4 TPG Fort Worth, United States
4 5 Warburg Pincus New York, United States
5 6 NB Alternatives New York, United States
6 7 CVC Capital Partners Luxembourg, Luxembourg
7 8 EQT Stockholm, Sweden
8 9 Advent International Boston, United States
9 10 Vista Equity Partners Austin, United States
10 11 Leonard Green & Partners Los Angeles, United States
11 12 Cinven London, United Kingdom
12 13 Bain Capital Boston, United States
13 14 Apollo Global Management New York, United States
14 15 Thoma Bravo San Francisco, United States
15 16 Insight Partners New York, United States
16 17 BlackRock New York, United States
17 18 General Atlantic New York, United States
18 19 Permira Advisers London, United Kingdom
19 20 Brookfield Asset Management Toronto, Canada
20 21 EnCap Investments Houston, United States
21 22 Francisco Partners San Francisco, United States
22 23 Platinum Equity Beverly Hills, United States
23 24 Hillhouse Capital Group Hong Kong, Hong Kong
24 25 Partners Group Baar-Zug, Switzerland
并将数据保存到文件中。 file.csv
。
注意你需要selenium和geckodriver并且在此代码中 geckodriver 设置为从c:/program/geckodriver.exe
导入
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