1.程式語法如下
import pandas
import requests
from bs4 import BeautifulSoup
import re
import pandas
from sqlalchemy import create_engine
# 讀來源匯率
dfs = pandas.read_html('https://www.taishinbank.com.tw/TS/TS06/TS0605/TS060502/index.htm')
headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'}
res = requests.get('https://www.taishinbank.com.tw/TS/TS06/TS0605/TS060502/index.htm', headers = headers)
# 整理資料
soup = BeautifulSoup(res.text, 'lxml')
rowAry = []
for tr in soup.select_one('.table01').select_one('tbody').find_all('tr', class_=lambda x: x != 'content_title'):
row = {}
td0Len = len(tr.select('td')[0].text)
splitIdx = td0Len - 3
row = {'幣別': tr.select('td')[0].text[:splitIdx],
'幣別代碼': tr.select('td')[0].text[splitIdx:],
'買入': tr.select('td')[1].text,
'賣出': tr.select('td')[2].text,
'買入 (現鈔)': tr.select('td')[3].text,
'賣出 (現鈔)': tr.select('td')[4].text}
rowAry.append(row)
# 寫入excel
df = pandas.DataFrame(rowAry)
df.to_excel('銀行匯率.xlsx')
# 寫入mysql 資料庫
engine = create_engine("mysql+mysqlconnector://root:8888@localhost/house")
df.to_sql('taishin_exrate', engine,if_exists='replace', chunksize=100)
2.excel檔

3.mysql 資料庫

