首先我们来爬取 http://html-color-codes.info/color-names/ 的一些数据。
按 f12 或 ctrl+u 审查元素,结果如下:
结构很清晰简单,我们就是要爬 tr 标签里面的 style 和 tr 下几个并列的 td 标签,下面是爬取的代码:
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#!/usr/bin/env python
# coding=utf-8
import requests
from bs4 import beautifulsoup
import mysqldb
print ( '连接到mysql服务器...' )
db = mysqldb.connect( "localhost" , "hp" , "hp12345." , "testdb" )
print ( '连接上了!' )
cursor = db.cursor()
cursor.execute( "drop table if exists color" )
sql = """create table color (
color char(20) not null,
value char(10),
style char(50) )"""
cursor.execute(sql)
hdrs = { 'user-agent' : 'mozilla/5.0 (x11; fedora; linux x86_64) applewebkit/537.36 (khtml, like gecko)' }
url = "http://html-color-codes.info/color-names/"
r = requests.get(url, headers = hdrs)
soup = beautifulsoup(r.content.decode( 'gbk' , 'ignore' ), 'lxml' )
trs = soup.find_all( 'tr' ) # 获取全部tr标签成为一个列表
for tr in trs: # 遍历列表里所有的tr标签单项
style = tr.get( 'style' ) # 获取每个tr标签里的属性style
tds = tr.find_all( 'td' ) # 将每个tr标签下的td标签获取为列表
td = [x for x in tds] # 获取的列表
name = td[ 1 ].text.strip() # 直接从列表里取值
hex = td[ 2 ].text.strip()
# print u'颜色: ' + name + u'颜色值: '+ hex + u'背景色样式: ' + style
# print 'color: ' + name + '\tvalue: '+ hex + '\tstyle: ' + style
insert_color = ( "insert into color(color,value,style)" "values(%s,%s,%s)" )
data_color = (name, hex , style)
cursor.execute(insert_color, data_color)
db.commit()
# print '******完成此条插入!'
print '爬取数据并插入mysql数据库完成...'
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运行结果:
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$ mysql - u hp - p
enter password:
welcome to the mysql monitor. commands end with ; or \g.
your mysql connection id is 28
server version: 5.7 . 17 mysql community server (gpl)
copyright (c) 2000 , 2011 , oracle and / or its affiliates. all rights reserved.
oracle is a registered trademark of oracle corporation and / or its
affiliates. other names may be trademarks of their respective
owners.
type 'help;' or '\h' for help . type '\c' to clear the current input statement.
mysql> use testdb
reading table information for completion of table and column names
you can turn off this feature to get a quicker startup with - a
database changed
mysql> select * from color;
+ - - - - - - - - - - - - - - - - - - - - - - + - - - - - - - - + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - +
| color | value | style |
+ - - - - - - - - - - - - - - - - - - - - - - + - - - - - - - - + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - +
| indianred | cd5c5c | background - color:indianred; |
| lightcoral | f08080 | background - color:lightcoral; |
| salmon | fa8072 | background - color:salmon; |
| darksalmon | e9967a | background - color:darksalmon; |
| lightsalmon | ffa07a | background - color:lightsalmon; |
| crimson | dc143c | background - color:crimson; |
| red | ff0000 | background - color:red; |
| firebrick | b22222 | background - color:firebrick; |
| darkred | 8b0000 | background - color:darkred; |
| pink | ffc0cb | background - color:pink; |
| lightpink | ffb6c1 | background - color:lightpink; |
| hotpink | ff69b4 | background - color:hotpink; |
| deeppink | ff1493 | background - color:deeppink; |
...
| antiquewhite | faebd7 | background - color:antiquewhite; |
| linen | faf0e6 | background - color:linen; |
| lavenderblush | fff0f5 | background - color:lavenderblush; |
| mistyrose | ffe4e1 | background - color:mistyrose; |
| gainsboro | dcdcdc | background - color:gainsboro; |
| lightgrey | d3d3d3 | background - color:lightgrey; |
| silver | c0c0c0 | background - color:silver; |
| darkgray | a9a9a9 | background - color:darkgray; |
| gray | 808080 | background - color:gray; |
| dimgray | 696969 | background - color:dimgray; |
| lightslategray | 778899 | background - color:lightslategray; |
| slategray | 708090 | background - color:slategray; |
| darkslategray | 2f4f4f | background - color:darkslategray; |
| black | 000000 | background - color:black; |
+ - - - - - - - - - - - - - - - - - - - - - - + - - - - - - - - + - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - +
143 rows in set ( 0.00 sec)
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以上这篇python爬取数据并写入mysql数据库的实例就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/Oscer2016/article/details/70257956