我对 Python 几乎是全新的,但我正在寻找构建一个网络抓取工具,该工具可以在线从 HTML 表中抓取数据并将其打印为相同格式的 CSV。

这是 HTML 表的示例(它很大,所以我将只提供几行)。

<div class="col-xs-12 tab-content">
        <div id="historical-data" class="tab-pane active">
          <div class="tab-header">
            <h2 class="pull-left bottom-margin-2x">Historical data for Bitcoin</h2>

            <div class="clear"></div>

            <div class="row">
              <div class="col-md-12">
                <div class="pull-left">
                  <small>Currency in USD</small>
                </div>
                <div id="reportrange" class="pull-right">
                    <i class="glyphicon glyphicon-calendar fa fa-calendar"></i>&nbsp;
                    <span>Aug 16, 2017 - Sep 15, 2017</span> <b class="caret"></b>
                </div>
              </div>
            </div>

            <table class="table">
              <thead>
              <tr>
                <th class="text-left">Date</th>
                <th class="text-right">Open</th>
                <th class="text-right">High</th>
                <th class="text-right">Low</th>
                <th class="text-right">Close</th>
                <th class="text-right">Volume</th>
                <th class="text-right">Market Cap</th>
              </tr>
              </thead>
              <tbody>

                <tr class="text-right">
                  <td class="text-left">Sep 14, 2017</td>
                  <td>3875.37</td>
                  <td>3920.60</td>
                  <td>3153.86</td>
                  <td>3154.95</td>
                  <td>2,716,310,000</td>
                  <td>64,191,600,000</td>
                </tr>

                <tr class="text-right">
                  <td class="text-left">Sep 13, 2017</td>
                  <td>4131.98</td>
                  <td>4131.98</td>
                  <td>3789.92</td>
                  <td>3882.59</td>
                  <td>2,219,410,000</td>
                  <td>68,432,200,000</td>
                </tr>

                <tr class="text-right">
                  <td class="text-left">Sep 12, 2017</td>
                  <td>4168.88</td>
                  <td>4344.65</td>
                  <td>4085.22</td>
                  <td>4130.81</td>
                  <td>1,864,530,000</td>
                  <td>69,033,400,000</td>
                </tr>
              </tbody>
            </table>
          </div>

        </div>
    </div>

我对重新创建具有相同列标题的表格特别感兴趣:“日期”、“开盘价”、“最高价”、“最低价”、“收盘价”、“成交量”、“市值”。目前,我已经能够编写一个简单的脚本,该脚本基本上可以访问 URL、下载 HTML、使用 BeautifulSoup 进行解析,然后使用“for”语句来获取 td 元素。下面是我的代码示例(省略了 URL)和结果:
from bs4 import BeautifulSoup
import requests
import pandas as pd
import csv

url = "enterURLhere"
page = requests.get(url)
pagetext = page.text

pricetable = {
    "Date" : [],
    "Open" : [],
    "High" : [],
    "Low" : [],
    "Close" : [],
    "Volume" : [],
    "Market Cap" : []
}

soup = BeautifulSoup(pagetext, 'html.parser')

file = open("test.csv", 'w')

for row in soup.find_all('tr'):
    for col in row.find_all('td'):
        print(col.text)

sample output

任何人都对如何至少重新格式化拉入表格的数据有任何指示?谢谢。

最佳答案

运行代码,您将从该表中获得所需的数据。为了试一试并从这个元素中提取数据,您需要做的就是将上面粘贴的整个 html 元素包装在 html=''' '''

import csv
from bs4 import BeautifulSoup

outfile = open("table_data.csv","w",newline='')
writer = csv.writer(outfile)

tree = BeautifulSoup(html,"lxml")
table_tag = tree.select("table")[0]
tab_data = [[item.text for item in row_data.select("th,td")]
                for row_data in table_tag.select("tr")]

for data in tab_data:
    writer.writerow(data)
    print(' '.join(data))

我试图将代码分成几部分让你理解。我上面做的是一个嵌套的 for 循环。这是分开的方式:
from bs4 import BeautifulSoup

soup = BeautifulSoup(html,"lxml")
table = soup.find('table')

list_of_rows = []
for row in table.findAll('tr'):
    list_of_cells = []
    for cell in row.findAll(["th","td"]):
        text = cell.text
        list_of_cells.append(text)
    list_of_rows.append(list_of_cells)

for item in list_of_rows:
    print(' '.join(item))

结果:
Date Open High Low Close Volume Market Cap
Sep 14, 2017 3875.37 3920.60 3153.86 3154.95 2,716,310,000 64,191,600,000
Sep 13, 2017 4131.98 3789.92 3882.59 2,219,410,000 68,432,200,000
Sep 12, 2017 4168.88 4344.65 4085.22 4130.81 1,864,530,000 69,033,400,000

关于Python - 网页抓取 HTML 表格并打印到 CSV,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/46242664/

10-11 23:14
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