如何使用 Python 抓取多页 table 并导出到 CSV 文件？

Question

我正在尝试抓取跨越多个页面的 table 并导出到 csv 文件。似乎只有一行数据被导出，而且很乱。

我在网上看过并尝试了很多次迭代，现在非常沮丧。从代码中可以看出我是编码新手！

import bs4 as bs
import urllib.request
import pandas as pd
import csv


max_page_num = 14
max_page_dig = 1 # number of digits in the page number


with open('result.csv',"w") as f:
    f.write("Name, Gender, State, Position, Grad, Club/HS, Rating, Commitment \n")

for i in range(0, max_page_num):  
    page_num = (max_page_dig - len(str(i))) * "0" +str(i) #gives a string in the format of 1, 01 or 001, 005 etc
    print(page_num)
    source = "https://www.topdrawersoccer.com/search/?query=&divisionId=&genderId=m&graduationYear=2020&positionId=0&playerRating=&stateId=All&pageNo=" + page_num + "&area=commitments"
    print(source)

    url = urllib.request.urlopen(source).read()    

    soup = bs.BeautifulSoup(url,'lxml')
    table = soup.find('table')
    table_rows = table.find_all('tr')

    for tr in table_rows:
        td = tr.find_all('td')
        row = [i.text for i in td]
        #final = row.strip("\n")
        #final = row.replace("\n","")
        with open('result.csv', 'a') as f:
            f.write(row)

似乎当我写入 csv 时它覆盖了以前的。它还将其粘贴在一行中，并将球员姓名与学校名称连接在一起。感谢您提供的所有帮助。

Answer 1

我认为你的内部 for 循环有问题。尝试将其重写为

with open('result.csv', 'a') as f:
   for tr in table_rows:
      td = tr.find_all('td')
      row = [i.text for i in td]
      f.write(row)

看看它是否有效。

更一般地说，这可能可以通过使用 pandas 更简单地完成。尝试将 for 循环更改为：

for i in range(0, max_page_num):  
   page_num = ...
   source = ....
   df = pd.read_html(source)
   df.to_csv('results.csv', header=False, index=False, mode='a') #'a' should append each table to the csv file, instead of overwriting it.

如何使用 Python 抓取多页 table 并导出到 CSV 文件？

How can I use Python to scrape a multipage table and export to a CSV file?

multipage

web-scraping

python-3.x

export-to-csv