【发布时间】：2021-08-20 23:34:42
【问题描述】：
我正在对本网站上的表格进行网络抓取：“https://www.privatefly.com/privatejet-services/private-jet-empty-legs.html”
一切都很好，但“价格”标签有一个小问题，无法修复。过去几个小时我一直在尝试，这是我遇到的最后一个错误：“https://www.privatefly.com/privatejet-services/private-jet-empty-legs.html”
from selenium import webdriver
from bs4 import BeautifulSoup
import pandas as pd
import requests
page = requests.get("https://www.privatefly.com/privatejet-services/private-jet-empty-legs.html")
soup = BeautifulSoup(page.content, "lxml")
gdp = soup.find_all("table", attrs={"class": "table flight-detail hidden-xs"})
print("Number of tables on site: ",len(gdp))
table1 = gdp[0]
# the head will form our column names
body = table1.find_all("tr")
print(len(body))
# Head values (Column names) are the first items of the body list
head = body[0] # 0th item is the header row
body_rows = body[1:] # All other items becomes the rest of the rows
# Lets now iterate through the head HTML code and make list of clean headings
# Declare empty list to keep Columns names
headings = []
for item in head.find_all("th"): # loop through all th elements
# convert the th elements to text and strip "\n"
item = (item.text).rstrip("\n")
# append the clean column name to headings
headings.append(item)
print(headings)
import re
all_rows = [] # will be a list for list for all rows
for row_num in range(len(body_rows)): # A row at a time
row = [] # this will old entries for one row
for row_item in body_rows[row_num].find_all("td")[:-1]: #loop through all row entries
# row_item.text removes the tags from the entries
# the following regex is to remove \xa0 and \n and comma from row_item.text
# xa0 encodes the flag, \n is the newline and comma separates thousands in numbers
aa = re.sub("(\xa0)|(\n)|(\t),","",row_item.text)
#append aa to row - note one row entry is being appended
row.append(aa)
# append one row to all_rows
all_rows.append(row)
for row_item in body_rows[row_num].find_all("td")[-1].find("span").text: #loop through the last row entry, price.
aa = re.sub("(\xa0)|(\n)|(\t),","",row_item)
row.append(aa)
all_rows.append(row)
# We can now use the data on all_rowsa and headings to make a table
# all_rows becomes our data and headings the column names
df = pd.DataFrame(data=all_rows,columns=headings)
#df.head()
#print(df)
df["Date"]=pd.to_datetime(df["Date"]).dt.strftime("%d/%m/%Y")
print(df)
如果您可以运行代码并告诉我如何解决此问题，以便我可以在使用“ print(df)”时打印所有内容。 以前，我可以打印除价格之外的所有内容，而价格却是“\t\t\t\t\t\t\t”而不是价格。 谢谢。
【问题讨论】：
标签： python dataframe machine-learning web-scraping jupyter-notebook