这个页面非常动态(而且非常慢，至少在我这边是这样)，包括JavaScript和多个异步请求来获取数据。用requests来实现这一点并不容易，您可能需要通过selenium使用浏览器自动化。在
这里有一些东西让你开始。注意Explicit Waits的用法：import pandas as pd
import time
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.select import Select
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver = webdriver.Firefox()
driver.maximize_window()
driver.get("http://quotes.freerealtime.com/dl/frt/M?IM=quotes&type=Time%26Sales&SA=quotes&symbol=IBM&qm_page=45750")
wait = WebDriverWait(driver, 400) # 400 seconds timeout
# wait for select element to be visible
time_select = Select(wait.until(EC.visibility_of_element_located((By.CSS_SELECTOR, "select[name=time]"))))
# select 9:30 and go
time_select.select_by_visible_text("09:30")
driver.execute_script("arguments[0].click();", driver.find_element_by_id("go"))
time.sleep(2)
while True:
# wait for the table to appear and load to pandas dataframe
table = wait.until(EC.presence_of_element_located((By.ID, "qmmt-time-and-sales-data-table")))
df = pd.read_html(table.get_attribute("outerHTML"))
print(df[0])
# wait for offset select to be visible and forward it 1 min
offset_select = Select(wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, "select[name=timeOffset]"))))
offset_select.select_by_value("1")
time.sleep(2)
# TODO: think of a break condition
请注意，这在我的机器上运行得非常非常慢，我不确定它在你的机器上运行得有多好，但它一直在无休止的循环中向前推进1分钟(您可能需要在某个时刻停止它)。在