我正在尝试基于该网页的网页抓取来构建数据框
https://www.schoolholidayseurope.eu/choose-a-country
html firstable我说selenium点击我选择的页面然后我把xpath和标签元素用于构建标题和正文但我没有我想要的格式是NaN或重复的格式。
按照我的脚本：
def get_browser(url_selector):
"""Get the browser (a "driver")."""
#option = webdriver.ChromeOptions()
#option.add_argument(' — incognito')
path_to_chromedriver = r"C:/Users/xxxxx/Downloads/chromedriver_win32/chromedriver.exe"
browser = webdriver.Chrome(executable_path= path_to_chromedriver)
browser.get(url_selector)
""" Try with Italie"""
browser.find_element_by_xpath(italie_buton_xpath).click()
""" Raise exception : down browser if loading take more than 45sec : timer is the logo website as a flag"""
# Wait 45 seconds for page to load
timeout = 45
try:
WebDriverWait(browser, timeout).until(EC.visibility_of_element_located((By.XPATH, '//*[@id="s5_logo_wrap"]/img')))
except TimeoutException:
print("Timed out waiting for page to load")
browser.quit()
return browser
browser = get_browser(url_selector)
headers = browser.find_element_by_xpath('//*[@id="s5_component_wrap_inner"]/main/div[2]/div[2]/div[3]/table/thead').find_elements_by_tag_name('tr')
headings = [i.text.strip() for i in headers]
bs_obj = BeautifulSoup(browser.page_source, 'html.parser')
rows = bs_obj.find_all('table')[0].find('tbody').find_all('tr')[1:]
table = []
for row in rows :
line = next(td.get_text() for td in row.find_all("td"))
print(line)
table.append(line)
browser.quit()
pd.DataFrame(line, columns = headings)
它返回
一列数据框如：
School Holiday Region Start date End date Week
0 Easter holidays 2018
1 REMARK: Small differences by region are possi...
2 Summer holiday 2018
3 REMARK: First region through to last region.
4 Christmas holiday 2018
有三个问题，我不希望REMARK行和学校假期开始日期和结束日期被视为单独的单词，整个数据框是未分割的。
如果我分割我的标题并排列由于REMARKS行而导致的两个不匹配的形状，我的列表中有9个元素而不是3个，并且由于分隔的单词，我在标题中得到8个元素而不是5个元素。
您可以在主页面上找到所有链接，然后使用selenium遍历每个URL：
from selenium import webdriver
from bs4 import BeautifulSoup as soup
import re, contextlib, pandas
d = webdriver.Chrome('/Users/jamespetullo/Downloads/chromedriver')
d.get('https://www.schoolholidayseurope.eu/choose-a-country')
_, *countries = [(lambda x:[x.text, x['href']])(i.find('a')) for i in soup(d.page_source, 'html.parser').find_all('li', {'class':re.compile('item\d+$')})]
@contextlib.contextmanager
def get_table(source:str):
yield [[[i.text for i in c.find_all('th')], [i.text for i in c.find_all('td')]] for c in soup(source, 'html.parser').find('table', {'class':'zebra'}).find_all('tr')]
results = {}
for country, url in countries:
d.get(f'https://www.schoolholidayseurope.eu{url}')
with get_table(d.page_source) as source:
results[country] = source
def clean_results(_data):
[headers, _], *data = _data
return [dict(zip(headers, i)) for _, i in data]
final_countries = {a:clean_results(b) for a, b in results.items()}