使用BeautifulSoup从html解析表并将其保存为cs时出现问题

Question

import requests
import csv
import requests
from bs4 import BeautifulSoup

r = requests.get('https://pqt.cbp.gov/report/YYZ_1/12-01-2017')
soup = BeautifulSoup(r)
table = soup.find('table', attrs={ "class" : "table-horizontal-line"})
headers = [header.text for header in table.find_all('th')]
rows = []
for row in table.find_all('tr'):
    rows.append([val.text.encode('utf8') for val in row.find_all('td')])

with open('output_file.csv', 'wb') as f:
    writer = csv.writer(f)
    writer.writerow(headers)
    writer.writerows(row for row in rows if row)

我正在尝试解析这个特定网页中的所有表数据：https://pqt.cbp.gov/report/YYZ_1/12-01-2017

我在soup = BeautifulSoup(r)行中得到一个错误。我得到一个错误TypeError: object of type 'Response' has no len()。我也不确定我的逻辑是否正确。请帮我翻译一下表格数据

Answer 1

尝试：

r = requests.get('https://pqt.cbp.gov/report/YYZ_1/12-01-2017')
soup = BeautifulSoup(r.content)

Answer 2

变量r是类型Response不是str，使用r.text或r.content并且没有类table-horizontal-line的表，您的意思是results

soup = BeautifulSoup(r.text)
table = soup.find('table', attrs={"class" : "results"})

Answer 3

我会这样做的

import pandas as pd
result = pd.read_html("https://pqt.cbp.gov/report/YYZ_1/12-01-2017")
df = result[0]
# df = df.drop(labels='Unnamed: 8', axis=1)
df.to_csv(r'C:\Users\User\Desktop\Data.csv', sep=',', encoding='utf-8',index = False )