分享一个简单的python+mysql网络数据抓取一(百度热点信息抓取)

　　最近学习python网络爬虫，所以自己写了一个简单的程序练练手（呵呵。。）。我使用的环境是python3.6和mysql8.0，抓取目标网站为百度热点（http://top.baidu.com/）。我只抓取了实时热点内容，其他栏目应该类似。代码中有两个变量SECONDS_PER_CRAWL和CRAWL_PER_UPDATE_TO_DB，前者为抓取频率，后者为抓取多少次写一次数据库，可自由设置。我抓取的数据内容是热点信息，链接，关注人数和时间。其在内存中存放的结构为dict{tuple(热点信息，链接):list[tuple(关注人数，时间)...]...}，数据库存储是将热点信息和链接放到hotnews表中，关注人数和对应时间放到直接以热点信息为表名的表内（因为热点信息可能长时间存在但是随时间变化关注度会有变化）。下面可以看下数据库存放样例

代码比较简单我就暂时没有上传github直接贴到下面供大家参考:

 1 # -*- coding: UTF-8 -*-
 2 
 3 from bs4 import BeautifulSoup
 4 import threading
 5 import requests
 6 import pymysql
 7 import string
 8 import time
 9 import sys
10 import re
11 
12 
13 #爬取频率，单位：秒
14 SECONDS_PER_CRAWL = 10
15 
16 #更新到数据库频率，单位：爬取次数
17 CRAWL_PER_UPDATE_TO_DB = 1
18 
19 #爬取目标网站url
20 CRAWL_TARGET_URL = 'http://top.baidu.com/'
21 
22 class DataProducer(threading.Thread):
23 
24     #临时存放爬取结果
25     NewsDict = {}
26 
27     def __init__(self):
28         threading.Thread.__init__(self)
29         db = pymysql.connect(host="localhost", user="root", port=3306, passwd=None, db="crawler", charset="utf8")
30         cursor = db.cursor()
31         sql = """CREATE TABLE IF NOT EXISTS HOTNEWS (
32               INFORMATION VARCHAR(64) NOT NULL,
33               HYPERLINK      VARCHAR(256),
34               PRIMARY KEY (INFORMATION) );"""
35         cursor.execute(sql)
36         db.close()
37 
38     def run(self):
39         print("DataProducer Thread start!")
40         crawl_data(self.NewsDict)
41         print("DataProducer Thread exit!")
42 
43 
44 def crawl_data(nd):
45     count = 0;
46     while 1:
47         req = requests.get(url=CRAWL_TARGET_URL)
48         req.encoding = req.apparent_encoding
49         bf = BeautifulSoup(req.text, "html.parser")
50         texts = bf.find_all('ul', id="hot-list", class_="list")
51         bfs = BeautifulSoup(str(texts), "html.parser")
52         spans = bfs.find_all('span', class_ = re.compile("icon-fall|icon-rise|icon-fair"))
53         lis = bfs.find_all('a', class_ = "list-title")
54         for i in range(10):
55             vtup = (spans[i].get_text(), time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
56             ktup = (lis[i].get('title'), lis[i].get('href'))
57             if ktup in nd.keys():
58                 nd[ktup].append(vtup)
59             else:
60                 nd[ktup] = [vtup]
61         count = count+1
62         if count%CRAWL_PER_UPDATE_TO_DB == 0:
63             update_to_db(nd)
64             nd.clear()
65         time.sleep(SECONDS_PER_CRAWL)
66 
67 def update_to_db(nd):
68     db = pymysql.connect(host="localhost", user="root", port=3306, passwd=None, db="crawler", charset="utf8")
69     cursor = db.cursor()
70     for k in nd.keys():
71         #将热点插入至主表
72         sql1 = "REPLACE INTO HOTNEWS (INFORMATION, HYPERLINK) VALUES ( '%s', '%s');"
73         #热点创建其分表
74         sql2 = "CREATE TABLE IF NOT EXISTS `%s`( NUMBEROFPEOPLE INT NOT NULL, OCCURTIME DATETIME, PRIMARY KEY (OCCURTIME) );"
75         try:
76             cursor.execute(sql1%(k[0], k[1]))
77             cursor.execute(sql2%(k[0]))
78             db.commit()
79         except:
80             db.rollback()
81         #将每个热点数据插入到对应热点分表
82         for e in nd[k]:
83             insert_sql = "INSERT INTO %s (NUMBEROFPEOPLE, OCCURTIME) VALUES (%d, '%s');"
84             try:
85                 cursor.execute(insert_sql%(k[0], int(e[0]), e[1]))
86             except:
87                 db.rollback()
88     db.close()
89 
90 if __name__ == '__main__':
91     t = DataProducer()
92     t.start()
93     t.join()