Analytical Methods & Research of TFDA

#2022.03.25 test ok

from turtle import delay
import requests
from bs4 import BeautifulSoup
import time
import csv
import numpy
#列印標題
"""
head=soup.find_all('th')
for xhead in head:
    print(xhead.text, end='   ')
print('\n')
"""
for i in range(1,3):
    url='https://www.fda.gov.tw/TC/siteList.aspx?sid=103&pn={}'.format(i)
    #建議檢驗方法網址 https://www.fda.gov.tw/TC/siteList.aspx?sid=1574&pn=1
    #公告檢驗方法網址 https://www.fda.gov.tw/TC/siteList.aspx?sid=103&pn=1
    headers={"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.74 Safari/537.36 Edg/99.0.1150.46"}
    #response0=urllib.request.urlopen(url, headers={"User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.74 Safari/537.36 Edg/99.0.1150.55"})
    r=requests.get(url,headers=headers,timeout=10)
    r.encoding='utf-8'
    #print(r.status_code)
    #print(r.encoding)
    soup=BeautifulSoup(r.text, 'lxml')
    #print(soup.text)

    #表格內容
    for x in range(0, 30, 3):
        y=x+3
        #print(x)
        #print(y)
        result=soup.find_all('td')[x:y]
        #time.sleep(5)
        alist=[]
        for xresult in result:
            alist.append(xresult.text)
        print(alist)

        #print(len(alist))
        #print(alist)
        # with open('FDAmethods.txt','a+', encoding='UTF-8') as textfile:
        #     textfile.write(str(alist)+'\n')