在python中将html表转换为csv

本文介绍了在python中将html表转换为csv的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我正在尝试从动态页面中抓取表格.在下面的代码(需要硒)之后，我设法获取了<table>元素的内容.

I'm trying to scrape a table from a dynamic page. After the following code (requires selenium), I manage to get the contents of the <table> elements.

我想将此表转换为csv，并且尝试了2种方法，但均失败了:

I'd like to convert this table into a csv and I have tried 2 things, but both fail:

pandas.read_html返回一个错误，说我没有安装html5lib，但是确实可以，并且我可以毫无问题地将其导入.

soup = BeautifulSoup(tablehtml)

soup.find_all('tr')返回错误'NoneType' object is not callable

pandas.read_html returns an error saying I don't have html5lib installed, but I do and in fact I can import it without problems.
soup.find_all('tr') returns an error 'NoneType' object is not callable after I run soup = BeautifulSoup(tablehtml)

这是我的代码:

import time
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.keys import Keys
import pandas as pd

main_url = "http://data.stats.gov.cn/english/easyquery.htm?cn=E0101"
driver = webdriver.Firefox()
driver.get(main_url)
time.sleep(7)
driver.find_element_by_partial_link_text("Industry").click()
time.sleep(7)
driver.find_element_by_partial_link_text("Main Economic Indicat").click()
time.sleep(6)
driver.find_element_by_id("mySelect_sj").click()
time.sleep(2)
driver.find_element_by_class_name("dtText").send_keys("last72")
time.sleep(3)
driver.find_element_by_class_name("dtTextBtn").click()
time.sleep(2)
table=driver.find_element_by_id("table_main")
tablehtml= table.get_attribute('innerHTML')

推荐答案

在无法访问您实际上要抓取的表的情况下，我使用了以下示例:

Without access to the table you're actually trying to scrape, I used this example:

<table>
<thead>
<tr>
    <td>Header1</td>
    <td>Header2</td>
    <td>Header3</td>
</tr>
</thead>
<tr>
    <td>Row 11</td>
    <td>Row 12</td>
    <td>Row 13</td>
</tr>
<tr>
    <td>Row 21</td>
    <td>Row 22</td>
    <td>Row 23</td>
</tr>
<tr>
    <td>Row 31</td>
    <td>Row 32</td>
    <td>Row 33</td>
</tr>
</table>

并使用以下内容将其抓取:

and scraped it using:

from bs4 import BEautifulSoup as BS
content = #contents of that table
soup = BS(content, 'html5lib')
rows = [tr.findAll('td') for tr in soup.findAll('tr')]

此行对象是列表列表:

[
    [<td>Header1</td>, <td>Header2</td>, <td>Header3</td>],
    [<td>Row 11</td>, <td>Row 12</td>, <td>Row 13</td>],
    [<td>Row 21</td>, <td>Row 22</td>, <td>Row 23</td>],
    [<td>Row 31</td>, <td>Row 32</td>, <td>Row 33</td>]
]

...，您可以将其写入文件:

...and you can write it to a file:

for it in rows:
with open('result.csv', 'a') as f:
    f.write(", ".join(str(e).replace('<td>','').replace('</td>','') for e in it) + '\n')

看起来像这样:

Header1, Header2, Header3
Row 11, Row 12, Row 13
Row 21, Row 22, Row 23
Row 31, Row 32, Row 33

这篇关于在python中将html表转换为csv的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！

NoneType