从Beautiful Soup表到MYSQL的Python数据插入

我试图使用python编写的漂亮的soup将数据从html表插入MYSQL表。目前，我可以通过创建一个临时csv文件来实现这一点，但它在Linux中似乎不起作用，而且效率低下。下面是我与CSV一起工作的代码，这是我想删除的部分

import urllib2, base64, csv
from bs4 import BeautifulSoup
request = urllib2.Request("http://website.com")
base64string = base64.encodestring('%s:%s' % ('username','password')).replace('\n','')
request.add_header("Authorization", "Basic %s" % base64string)   
result = urllib2.urlopen(request)
soup = BeautifulSoup(result.read())

table=soup.findAll('table')[6]

f = open('output.csv', 'w')

for row in table.findAll('tr'):
    cells = row.findAll('td')
    #For each "tr", assign each "td" to a variable.
    if len(cells) == 19:
    column1 = cells[0].find(text=True)
    column2 = cells[1].find(text=True)
    column3 = cells[2].find(text=True)
    column4 = cells[3].find(text=True)
    column5 = cells[4].find(text=True)
    column6 = cells[5].find(text=True)
    column7 = cells[6].find(text=True)
    column8 = cells[7].find(text=True)
    column9 = cells[8].find(text=True)
    column10 = cells[9].find(text=True)
    column11 = cells[10].find(text=True)
    column12 = cells[11].find(text=True)
    column13 = cells[12].find(text=True)
    column14 = cells[13].find(text=True)
    column15 = cells[14].find(text=True)
    column16 = cells[15].find(text=True)
    column17 = cells[16].find(text=True)
    column18 = cells[17].find(text=True)
    column19 = cells[18].find(text=True)
    TOTAL_AD_CALLS = column6.replace(',','')
    TOTAL_US_AD_CALLS = column7.replace(',','')
    TOTAL_NON_US_AD_CALLS = column8.replace(',','')
    TOTAL_NON_CLEAN_US_AD_CALLS = column10.replace(',','')
    TOTAL_CLEAN_US_AD_CALLS = column12.replace(',','')
    UNUSABLE_AD_CALLS = column13.replace(',','')
    NO_ADS_RETURNED = column14.replace(',','')
    PSAS_RETURNED = column15.replace(',','')
    ADS_RETURNED = column16.replace(',','')
    TOTAL_RETURNED = column17.replace(',','')
    TOTAL_IMPRESSIONS  = column18.replace(',','')
    Engagements = column19.replace(',','')
    NOT_US_RATE = column9.replace('%','')
    NOT_CLEAN_RATE = column11.replace('%','')



#district can be a list of lists, so we want to iterate through the top level lists first...

            write_to_file = column1 + "," + column2 + "," + column3 + "," + column4 + "," + column5 + "," + TOTAL_AD_CALLS + "," + TOTAL_US_AD_CALLS + "," + TOTAL_NON_US_AD_CALLS + "," + NOT_US_RATE + "," + TOTAL_NON_CLEAN_US_AD_CALLS + "," + NOT_CLEAN_RATE + "," + TOTAL_CLEAN_US_AD_CALLS + "," + UNUSABLE_AD_CALLS + "," + NO_ADS_RETURNED + "," + PSAS_RETURNED + "," + ADS_RETURNED + "," + TOTAL_RETURNED + "," +  TOTAL_IMPRESSIONS  + "," +  Engagements + "\n"
            print write_to_file
            f.write(write_to_file)
f.close()



import MySQLdb
import os
import string

# Open database connection
db = MySQLdb.connect(host="ipadress", # your host, usually localhost
                 user="admin", # your username
                  passwd="other", # your password
                  db="dailies") # name of the data base

cursor=db.cursor()

#Query under testing
sql = """LOAD DATA LOCAL INFILE 'output.csv' \
      INTO TABLE PYTHON_TEST \
      FIELDS TERMINATED BY ',' \
      OPTIONALLY ENCLOSED BY '"'  \
      LINES TERMINATED BY '\r\n' \
      IGNORE 0 LINES;;"""

  #LINES TERMINATED BY '\r\n' \

try:
    # Execute the SQL command
    cursor.execute(sql)
    # Commit your changes in the database
    db.commit()
except:
   # Rollback in case there is any error
   db.rollback()

# disconnect from server
db.close()

---

我能弄明白。如果其他人也有类似的问题，希望这能有所帮助

import urllib2, base64, csv
from bs4 import BeautifulSoup
import MySQLdb
import os
import string
import datetime

request = urllib2.Request("website.com")
base64string = base64.encodestring('%s:%s' % ('username','password')).replace('\n', '')
request.add_header("Authorization", "Basic %s" % base64string)   
result = urllib2.urlopen(request)
soup = BeautifulSoup(result.read())

#print(soup.prettify())
#table=soup.find('table', {"class":"resultsTable,ruler,sortable"})[0]


# Open database connection
db = MySQLdb.connect(host="ipaddress", # your host, usually localhost
                     user="username", # your username
                      passwd="password", # your password
                      db="databsae") # name of the data base

cursor=db.cursor()

table=soup.findAll('table')[6]

#print table

for row in table.findAll('tr'):
    cells = row.findAll('td')
    #For each "tr", assign each "td" to a variable.
    if len(cells) == 19:
        column1 = cells[0].find(text=True)
        column2 = cells[1].find(text=True)
        column3 = cells[2].find(text=True)
        column4 = cells[3].find(text=True)
        column5 = cells[4].find(text=True)
        column6 = cells[5].find(text=True)
        column7 = cells[6].find(text=True)
        column8 = cells[7].find(text=True)
        column9 = cells[8].find(text=True)
        column10 = cells[9].find(text=True)
        column11 = cells[10].find(text=True)
        column12 = cells[11].find(text=True)
        column13 = cells[12].find(text=True)
        column14 = cells[13].find(text=True)
        column15 = cells[14].find(text=True)
        column16 = cells[15].find(text=True)
        column17 = cells[16].find(text=True)
        column18 = cells[17].find(text=True)
        column19 = cells[18].find(text=True)
        TOTAL_AD_CALLS = column6.replace(',','')
        TOTAL_US_AD_CALLS = column7.replace(',','')
        TOTAL_NON_US_AD_CALLS = column8.replace(',','')
        TOTAL_NON_CLEAN_US_AD_CALLS = column10.replace(',','')
        TOTAL_CLEAN_US_AD_CALLS = column12.replace(',','')
        UNUSABLE_AD_CALLS = column13.replace(',','')
        NO_ADS_RETURNED = column14.replace(',','')
        PSAS_RETURNED = column15.replace(',','')
        ADS_RETURNED = column16.replace(',','')
        TOTAL_RETURNED = column17.replace(',','')
        TOTAL_IMPRESSIONS  = column18.replace(',','')
        Engagements = column19.replace(',','')
        NOT_US_RATE = column9.replace('%','')
        NOT_CLEAN_RATE = column11.replace('%','')
        Created = datetime.datetime.now()

print Engagements


cursor.execute ("INSERT INTO PYTHON_TEST (REPORT_TYPE, THE_DATE, PARENT_ID, SITE_ID,SITE_NAME, TOTAL_AD_CALLS, TOTAL_US_AD_CALLS, TOTAL_NON_US_AD_CALLS, NOT_US_RATE, TOTAL_NON_CLEAN_US_AD_CALLS, NOT_CLEAN_RATE, TOTAL_CLEAN_US_AD_CALLS, UNUSABLE_AD_CALLS, NO_ADS_RETURNED, PSAS_RETURNED, ADS_RETURNED, TOTAL_RETURNED, TOTAL_IMPRESSIONS, ENGAGEMENTS, CREATED) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);", (column1, column2, column3, column4, column5, TOTAL_AD_CALLS, TOTAL_US_AD_CALLS, TOTAL_NON_US_AD_CALLS, NOT_US_RATE ,TOTAL_NON_CLEAN_US_AD_CALLS, NOT_CLEAN_RATE, TOTAL_CLEAN_US_AD_CALLS, UNUSABLE_AD_CALLS, NO_ADS_RETURNED, PSAS_RETURNED, ADS_RETURNED, TOTAL_RETURNED, TOTAL_IMPRESSIONS, Engagements, Created))

#cursor.execute ("INSERT INTO PYTHON_TEST (ENGAGEMENTS,434 ) VALUES (%s);", (Engagements))
db.commit()
'''
cursor.execute ("INSERT INTO PYTHON_TEST  VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s);", (column1, column2, column3, column4, column5, TOTAL_AD_CALLS, TOTAL_US_AD_CALLS, TOTAL_NON_US_AD_CALLS, NOT_US_RATE ,TOTAL_NON_CLEAN_US_AD_CALLS, NOT_CLEAN_RATE, TOTAL_CLEAN_US_AD_CALLS, UNUSABLE_AD_CALLS, NO_ADS_RETURNED, PSAS_RETURNED, ADS_RETURNED, TOTAL_RETURNED, TOTAL_IMPRESSIONS, Engagements, Created, Created))'''


# disconnect from server
db.close()

---

对不起，有什么问题吗？我如何绕过CSV直接将数据插入MYSQL表？很抱歉这里的混乱。