Python 获取天天基金排行

from selenium.webdriver.chrome.options import Options
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
import pandas as pd
from bs4 import BeautifulSoup
import time
import datetime
url_dict = {
    "全部": "http://fund.eastmoney.com/data/fundranking.html#tall;c0;r;szzf;pn10000;ddesc;qsd20191227;qed20201227;qdii;zq;gg;gzbd;gzfs;bbzt;sfbb",
    "股票型": "http://fund.eastmoney.com/data/fundranking.html#tgp;c0;r;szzf;pn10000;ddesc;qsd20191227;qed20201227;qdii;zq;gg;gzbd;gzfs;bbzt;sfbb",
    "混合型": "http://fund.eastmoney.com/data/fundranking.html#thh;c0;r;szzf;pn10000;ddesc;qsd20191227;qed20201227;qdii;zq;gg;gzbd;gzfs;bbzt;sfbb",
    "债券型": "http://fund.eastmoney.com/data/fundranking.html#tzq;c0;r;szzf;pn10000;ddesc;qsd20191227;qed20201227;qdii;zq;gg;gzbd;gzfs;bbzt;sfbb",
    "指数型": "http://fund.eastmoney.com/data/fundranking.html#tzs;c0;r;szzf;pn10000;ddesc;qsd20191227;qed20201227;qdii;zq;gg;gzbd;gzfs;bbzt;sfbb"}
thead = ["基金代码", "基金简称", "日期", "单位净值", "累计净值", "日增长率", "近1周", "近1月",
         "近3月", "近6月", "近1年", "近2年", "近3年", "今年来", "成立来", "自定义", "手续费"]
def getData(key, url, xlsWriter):
    chrome_options = Options()
    chrome_options.add_argument('--headless')
    #chrome_options.add_argument('--disable-browser-side-navigation')
    driver = webdriver.Chrome(options=chrome_options)
    driver.get(url)
    time.sleep(10)
    soup = BeautifulSoup(driver.page_source)
    dbtable = soup.findAll(name="table", attrs={"id": "dbtable"})
    all_dict = {}
    for i in range(len(thead)):
        all_dict[thead[i]] = []
    trs_item = dbtable[0].tbody.findAll(name="tr")
    for tr_item in trs_item:
        ids = tr_item.findAll(name="td")
        for i in range(len(thead)):
            all_dict[thead[i]].append(ids[i + 2].text)
    pd.DataFrame(all_dict).to_excel(excel_writer=xlsWriter, sheet_name=key,index=None)
    print("%s,nums=%d,%s" % (key, len(all_dict[thead[i]]), url))
    driver.close()
if __name__ == "__main__":
    today = datetime.datetime.now().strftime('%Y%m%d')
    xlsWriter = pd.ExcelWriter("wealth%s.xls"%today)  # xls
    for key, url in url_dict.items():
        getData(key, url, xlsWriter)
    xlsWriter.close()