python 爬虫小结1
1 正则匹配中注意的：
import re
a='<div>指数</div>'
word=re.findall('<div>(.*?)</div>',a)
print(word) 其中（.*?)是能匹配基本所有的字符，但是对于跨行的例外
比如
import re
a='''<div>abc
</div>'''
word=re.findall('<div>(.*?)</div>',a,re.S)
print(word)
因为findall是逐行匹配的，当第一行没匹配的时候，从第2行匹配，所以最后参数用re.S,标识的是匹配包括换行在内的字符；
，在爬虫的时候，一般再进行换行清理下，使用
print(word[0].strip())
2 简单例子：
import requests
import reheaders = {
'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36'
}info_lists = []
def judgment_sex(class_name):
if class_name == 'womenIcon':
return '女'
else:
return '男'def get_info(url):
res = requests.get(url)
ids = re.findall('<h2>(.*?)</h2>',res.text,re.S)
levels = re.findall('<div class="articleGender \D+Icon">(.*?)</div>',res.text,re.S)
sexs = re.findall('<div class="articleGender (.*?)">',res.text,re.S)
contents = re.findall('<div class="content">.*?<span>(.*?)</span>',res.text,re.S)
laughs = re.findall('<span class="stats-vote"><i class="number">(\d+)</i>',res.text,re.S)
comments = re.findall('<i class="number">(\d+)</i> 评论',res.text,re.S)
for id,level,sex,content,laugh,comment in zip(ids,levels,sexs,contents,laughs,comments):
info = {
'id':id,
'level':level,
'sex':judgment_sex(sex),
'content':content,
'laugh':laugh,
'comment':comment
}
info_lists.append(info)if __name__ == '__main__':
urls = ['http://www.qiushibaike.com/text/page/{}/'.format(str(i)) for i in range(1,10)]
for url in urls:
get_info(url)
for info_list in info_lists:
f = open('d:/qiushi.txt','a+')
try:
f.write(info_list['id']+'\n')
f.write(info_list['level'] + '\n')
f.write(info_list['sex'] + '\n')
f.write(info_list['content'] + '\n')
f.write(info_list['laugh'] + '\n')
f.write(info_list['comment'] + '\n\n')
f.close()
except UnicodeEncodeError:
pass
#print(info_list) 2 python中调用相关网站的API套路：
import requests
import json
import pprint
address=input('请输入地点')
par = {'address': address, 'key': 'cb649a25c1f81c1451adbeca73623251'}
api = 'http://restapi.amap.com/v3/geocode/geo'
res = requests.get(api, par)
json_data = json.loads(res.text)
pprint.pprint(json_data)
其中pprint是JSON格式化输出工具，使用JSON.LOAD来加载JSON结果
body > div.main > div.content > div.main-image > p > a > img 3 MYSQL配合抓取
比如抓取豆瓣TOP 250的电影
import requests
from lxml import etree
import re
import pymysql
import timeconn = pymysql.connect(host='localhost', user='root', passwd='38477000', db='python', port=3309, charset='utf8')
cursor = conn.cursor()headers = {
'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36'
}def get_movie_url(url):
html = requests.get(url,headers=headers)
selector = etree.HTML(html.text)
movie_hrefs = selector.xpath('//div[@class="hd"]/a/@href')
for movie_href in movie_hrefs:
get_movie_info(movie_href)def get_movie_info(url):
html = requests.get(url,headers=headers)
selector = etree.HTML(html.text)
try:
name = selector.xpath('//*[@id="content"]/h1/span[1]/text()')[0]
director = selector.xpath('//*[@id="info"]/span[1]/span[2]/a/text()')[0]
actors = selector.xpath('//*[@id="info"]/span[3]/span[2]')[0]
actor = actors.xpath('string(.)')
style = re.findall('<span property="v:genre">(.*?)</span>',html.text,re.S)[0]
country = re.findall('<span class="pl">制片国家/地区:</span> (.*?)<br/>',html.text,re.S)[0]
release_time = re.findall('上映日期:</span>.*?>(.*?)</span>',html.text,re.S)[0]
time = re.findall('片长:</span>.*?>(.*?)</span>',html.text,re.S)[0]
score = selector.xpath('//*[@id="interest_sectl"]/div[1]/div[2]/strong/text()')[0]
cursor.execute(
"insert into doubanmovie (name,director,actor,style,country,release_time,time,score) values(%s,%s,%s,%s,%s,%s,%s,%s)",
(str(name), str(director), str(actor), str(style), str(country), str(release_time), str(time), str(score)))
conn.execute()
except IndexError:
passif __name__ == '__main__':
urls = ['https://movie.douban.com/top250?start={}'.format(str(i)) for i in range(0, 250, 25)]
for url in urls:
get_movie_url(url)
time.sleep(5)
conn.commit()
4 多线程+异步抓取简书网7日最热：
from lxml import etree
import requests
import re
import json
from multiprocessing import Poolheader = {
'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36'
}def get_url(url):
html = requests.get(url,headers=header)
selector = etree.HTML(html.text)
infos = selector.xpath('//ul[@class="note-list"]/li')
for info in infos:
article_url_part = info.xpath('div/a/@href')[0]
get_info(article_url_part)def get_info(url):
article_url = 'http://www.jianshu.com/' + url
html = requests.get(article_url,headers=header)
selector = etree.HTML(html.text)
author = selector.xpath('//span[@class="name"]/a/text()')[0] print(author)
article = selector.xpath('//h1[@class="title"]/text()')[0]
print(article)
date = selector.xpath('//span[@class="publish-time"]/text()')[0]
print(date)
word = selector.xpath('//span[@class="wordage"]/text()')[0]
print(word)
view = re.findall('"views_count":(.*?),',html.text,re.S)[0]
print(view)
comment = re.findall('"comments_count":(.*?),',html.text,re.S)[0]
print(comment)
like = re.findall('"likes_count":(.*?),',html.text,re.S)[0]
print(like)
id = re.findall('{"id":(.*?),',html.text,re.S)[0]
gain_url = 'http://www.jianshu.com/notes/{}/rewards?count=20'.format(id)
wb_data = requests.get(gain_url,headers=header)
json_data = json.loads(wb_data.text)
gain = json_data['rewards_count'] include_list = []
include_urls = ['http://www.jianshu.com/notes/{}/included_collections?page={}'.format(id,str(i)) for i in range(1,10)]
for include_url in include_urls:
html = requests.get(include_url,headers=header)
json_data = json.loads(html.text)
includes = json_data['collections']
if len(includes) == 0:
pass
else:
for include in includes:
include_title = include['title']
include_list.append(include_title)
info ={
'author':author,
'article':article,
'date':date,
'word':word,
'view':view,
'comment':comment,
'like':like,
'gain':gain,
'include':include_list
} if __name__ == '__main__':
urls = ['http://www.jianshu.com/trending/weekly?page={}'.format(str(i)) for i in range(0, 11)]
pool = Pool(processes=4)
pool.map(get_url,urls)
4 表单提交：
使用FORM表单提交的套路，下面是抓取拉钩网的
import requests
import json
import time #client = pymongo.MongoClient('localhost', 27017)
#mydb = client['mydb']
#lagou = mydb['lagou']headers = {
'Cookie':'XXXXXX',
'User-Agent':'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36',
'Connection':'keep-alive'
}def get_page(url,params):
html = requests.post(url, data=params, headers=headers)
json_data = json.loads(html.text)
print(json_data)
total_Count = json_data['content']['positionResult']['totalCount']
page_number = int(total_Count/15) if int(total_Count/15)<30 else 30
get_info(url,page_number)def get_info(url,page):
for pn in range(1,page+1):
params = {
'first': 'true',
'pn': str(pn),
'kd': 'Python'
}
try:
html = requests.post(url,data=params,headers=headers)
json_data = json.loads(html.text)
results = json_data['content']['positionResult']['result']
for result in results:
compangeName=result['companyFullName']
print(compangeName)
infos = {
'businessZones':result['businessZones'],
'city':result['city'],
'companyFullName':result['companyFullName'],
'companyLabelList':result['companyLabelList'],
'companySize':result['companySize'],
'district':result['district'],
'education':result['education'],
'explain':result['explain'],
'financeStage':result['financeStage'],
'firstType':result['firstType'],
'formatCreateTime':result['formatCreateTime'],
'gradeDescription':result['gradeDescription'],
'imState':result['imState'],
'industryField':result['industryField'],
'jobNature':result['jobNature'],
'positionAdvantage':result['positionAdvantage'],
'salary':result['salary'],
'secondType':result['secondType'],
'workYear':result['workYear']
}
# lagou.insert_one(infos)
time.sleep(10)
except requests.exceptions.ConnectionError:
passif __name__ == '__main__':
url = 'https://www.lagou.com/jobs/positionAjax.json'
params = {
'first': 'true',
'pn': '1',
'kd': 'Python'
}
get_page(url,params)
5 发现个老外的不错的，在线做词云的工具，样式比较多，推荐下 https://wordart.com/create，比如爬SINA微博好友圈
import requests
import jsonheaders = {
'Cookie':'XXXX'
}f = open('d:/weibo.txt','a+',encoding='utf-8')
def get_info(url,page):
html = requests.get(url,headers=headers)
json_data = json.loads(html.text)
card_groups = json_data[0]['card_group']
for card_group in card_groups:
f.write(card_group['mblog']['text'].split(' ')[0]+'\n') next_cursor = json_data[0]['next_cursor']
if page<50:
next_url = 'https://m.weibo.cn/index/friends?format=cards&next_cursor='+str(next_cursor)+'&page=1'
page = page + 1
get_info(next_url,page)
else:
pass
f.close()if __name__ == '__main__':
url = 'https://m.weibo.cn/index/friends?format=cards'
get_info(url,1) 然后分词：
import jieba.analyse
path = 'd:\weibo.txt'
fp = open(path,'r',encoding='utf-8')
content = fp.read()
try:
jieba.analyse.set_stop_words('G:\python学习相关\stop_words_zh.txt')
tags = jieba.analyse.extract_tags(content, topK=100, withWeight=True)
for item in tags:
print(item[0]+'\t'+str(int(item[1]*1000)))
finally:
fp.close()
标签：info,re,python,text,get,爬虫,url,json,小结 From： https://blog.51cto.com/u_14230175/5928135