python实现博客文章爬虫示例

yipeiwu_com7年前Python爬虫

复制代码 代码如下:

#!/usr/bin/python
#-*-coding:utf-8-*-
# JCrawler
# Author: Jam <810441377@qq.com>

import time
import urllib2
from bs4 import BeautifulSoup

# 目标站点
TargetHost = "http://adirectory.blog.com"
# User Agent
UserAgent  = 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.117 Safari/537.36'
# 链接采集规则
# 目录链接采集规则
CategoryFind    = [{'findMode':'find','findTag':'div','rule':{'id':'cat-nav'}},
                   {'findMode':'findAll','findTag':'a','rule':{}}]
# 文章链接采集规则
ArticleListFind = [{'findMode':'find','findTag':'div','rule':{'id':'content'}},
                   {'findMode':'findAll','findTag':'h2','rule':{'class':'title'}},
                   {'findMode':'findAll','findTag':'a','rule':{}}]
# 分页URL规则
PageUrl  = 'page/#page/'
PageStart = 1
PageStep  = 1
PageStopHtml = '404: Page Not Found'

def GetHtmlText(url):
    request  = urllib2.Request(url)
    request.add_header('Accept', "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp")
    request.add_header('Accept-Encoding', "*")
    request.add_header('User-Agent', UserAgent)
    return urllib2.urlopen(request).read()

def ArrToStr(varArr):
    returnStr = ""
    for s in varArr:
        returnStr += str(s)
    return returnStr


def GetHtmlFind(htmltext, findRule):
    findReturn = BeautifulSoup(htmltext)
    returnText = ""
    for f in findRule:
        if returnText != "":
            findReturn = BeautifulSoup(returnText)
        if f['findMode'] == 'find':
            findReturn = findReturn.find(f['findTag'], f['rule'])
        if f['findMode'] == 'findAll':
            findReturn = findReturn.findAll(f['findTag'], f['rule'])
        returnText = ArrToStr(findReturn)
    return findReturn

def GetCategory():
    categorys = [];
    htmltext = GetHtmlText(TargetHost)
    findReturn = GetHtmlFind(htmltext, CategoryFind)

    for tag in findReturn:
        print "[G]->Category:" + tag.string + "|Url:" + tag['href']
        categorys.append({'name': tag.string, 'url': tag['href']})
    return categorys;

def GetArticleList(categoryUrl):
    articles = []
    page = PageStart
    #pageUrl = PageUrl
    while True:
        htmltext = ""
        pageUrl  = PageUrl.replace("#page", str(page))
        print "[G]->PageUrl:" + categoryUrl + pageUrl
        while True:
            try:
                htmltext = GetHtmlText(categoryUrl + pageUrl)
                break
            except urllib2.HTTPError,e:
                print "[E]->HTTP Error:" + str(e.code)
                if e.code == 404:
                    htmltext = PageStopHtml
                    break
                if e.code == 504:
                    print "[E]->HTTP Error 504: Gateway Time-out, Wait"
                    time.sleep(5)
                else:
                    break

        if htmltext.find(PageStopHtml) >= 0:
            print "End Page."
            break
        else:

            findReturn = GetHtmlFind(htmltext, ArticleListFind)

            for tag in findReturn:
                if tag.string != None and tag['href'].find(TargetHost) >= 0:
                    print "[G]->Article:" + tag.string + "|Url:" + tag['href']
                    articles.append({'name': tag.string, 'url': tag['href']})

            page += 1

    return articles;

print "[G]->GetCategory"
Mycategorys = GetCategory();
print "[G]->GetCategory->Success."
time.sleep(3)
for category in Mycategorys:
   print "[G]->GetArticleList:" + category['name']
   GetArticleList(category['url'])

相关文章

python爬虫 猫眼电影和电影天堂数据csv和mysql存储过程解析

字符串常用方法 # 去掉左右空格 'hello world'.strip() # 'hello world' # 按指定字符切割 'hello world'.split(' ')...

python实现从web抓取文档的方法

本文实例讲述了Python实现从Web的一个URL中抓取文档的方法,分享给大家供大家参考。具体方法分析如下: 实例代码如下: import urllib doc = urllib....

解决Python3 抓取微信账单信息问题

这段时间有个朋友想导出微信里面的账单信息,后来发现微信的反爬虫还是很厉害的,花了点时间去分析。 一、采用传统模拟http抓取 抓取的主要URL:https://wx.tenpay.com...

python爬虫获取小区经纬度以及结构化地址

本文实例为大家分享了python爬虫获取小区经纬度、地址的具体代码,供大家参考,具体内容如下 通过小区名称利用百度api可以获取小区的地址以及经纬度,但是由于api返回的值中的地址形式不...

Python 爬虫模拟登陆知乎

Python 爬虫模拟登陆知乎

在之前写过一篇使用python爬虫爬取电影天堂资源的文章,重点是如何解析页面和提高爬虫的效率。由于电影天堂上的资源获取权限是所有人都一样的,所以不需要进行登录验证操作,写完那篇文章后又花...