這篇文章主要介紹了三個(gè)python爬蟲項(xiàng)目實(shí)例代碼,文中通過示例代碼介紹的非常詳細(xì),對(duì)大家的學(xué)習(xí)或者工作具有一定的參考學(xué)習(xí)價(jià)值,需要的朋友可以參考下
爬取內(nèi)涵段子:
#encoding=utf-8import urllib2import reclass neihanba(): def spider(self): ''' 爬蟲的主調(diào)度器 ''' isflow=True#判斷是否進(jìn)行下一頁 page=1 while isflow: url="http://www.neihanpa.com/article/list_5_"+str(page)+".html" html=self.load(url) self.deal(html,page) panduan=raw_input("是否繼續(xù)(y/n)!") if panduan=="y": isflow=True page+=1 else: isflow=False def load(self,url): ''' 針對(duì)url地址進(jìn)行全部爬去 :param url: url地址 :return: 返回爬去的內(nèi)容 ''' header = { "User-Agent": " Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.79 Safari/537.36" } request = urllib2.Request(url, headers=header) response = urllib2.urlopen(request) html = response.read() return html def deal(self,html,page): ''' 對(duì)之前爬去的內(nèi)容進(jìn)行正則匹配,匹配出標(biāo)題和正文內(nèi)容 :param html:之前爬去的內(nèi)容 :param page: 正在爬去的頁碼 ''' parrten=re.compile('<li class="piclist/d+">(.*?)</li>',re.S) titleList=parrten.findall(html) for title in titleList: parrten1=re.compile('<a href="/article//d+.html" rel="external nofollow" >(.*)</a>') ti1=parrten1.findall(title) parrten2=re.compile('<div class="f18 mb20">(.*?)</div>',re.S) til2=parrten2.findall(title) for t in ti1: tr=t.replace("<b>","").replace("</b>","") self.writeData(tr,page) for t in til2: tr=t.replace("<p>","").replace("</p>","").replace("<br>","").replace("<br />","").replace("&ldquo","/"").replace("&rdquo","/"") self.writeData(tr,page) def writeData(self,context,page): ''' 將最終爬去的內(nèi)容寫入文件中 :param context: 匹配好的內(nèi)容 :param page: 當(dāng)前爬去的頁碼數(shù) ''' fileName = "di" + str(page) + "yehtml.txt" with open(fileName, "a") as file: file.writelines(context + "/n")if __name__ == '__main__': n=neihanba() n.spider()
爬取智聯(lián):
#encoding=utf-8import urllibimport urllib2import reclass zhiLian(): def spider(self,position,workPlace): ''' 爬蟲的主調(diào)度器 :param position: 職位 :param workPlace: 工作地點(diǎn) ''' url="http://sou.zhaopin.com/jobs/searchresult.ashx?" url+=urllib.urlencode({"jl":workPlace}) url+="&" url+=urllib.urlencode({"kw":position}) isflow=True#是否進(jìn)行下一頁的爬去 page=1 while isflow: url+="&"+str(page) html=self.load(url) self.deal1(html,page) panduan = raw_input("是否繼續(xù)爬蟲下一頁(y/n)!") if panduan == "y": isflow = True page += 1 else: isflow = False def load(self,url): ''' 針對(duì)url地址進(jìn)行全部爬去 :param url: url地址 :return: 返回爬去的內(nèi)容 ''' header = { "User-Agent": " Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/67.0.3396.79 Safari/537.36" } request = urllib2.Request(url, headers=header) response = urllib2.urlopen(request) html = response.read() return html def deal1(self,html,page): ''' 對(duì)之前爬去的內(nèi)容進(jìn)行正則匹配,匹配職位所對(duì)應(yīng)的鏈接 :param html:之前爬去的內(nèi)容 :param page: 正在爬去的頁碼 ''' parrten=re.compile('<a/s+/s+par="ssidkey=y&ss=/d+&ff=/d+&sg=/w+&so=/d+"/s+href="(.*?)" rel="external nofollow" target="_blank">.*?</a>',re.S) til=parrten.findall(html)#爬去鏈接 for t in til: self.deal2(t,page) def deal2(self,t,page): ''' 進(jìn)行二次爬蟲,然后在新的頁面中對(duì)公司、薪資、工作經(jīng)驗(yàn)進(jìn)行匹配 :param t: url地址 :param page: 當(dāng)前匹配的頁數(shù) ''' html=self.load(t)#返回二次爬蟲的內(nèi)容 parrten1=re.compile('<a/s+onclick=".*?"/s+href=".*?" rel="external nofollow" /s+target="_blank">(.*?)/s+.*?<img/s+class=".*?"/s+src=".*?"/s+border="/d+"/s+vinfo=".*?"></a>',re.S) parrten2=re.compile('<li><span>職位月薪:</span><strong>(.*?) <a.*?>.*?</a></strong></li>',re.S) parrent3=re.compile('<li><span>工作經(jīng)驗(yàn):</span><strong>(.*?)</strong></li>',re.S) til1=parrten1.findall(html) til2=parrten2.findall(html) til3=parrent3.findall(html) str="" for t in til1: t=t.replace('<img title="專屬頁面" src="http://img03.zhaopin.cn/2012/img/jobs/icon.png" border="0" />',"") str+=t str+="/t" for t in til2: str+=t str += "/t" for t in til3: str+=t self.writeData(str,page) def writeData(self,context,page): ''' 將最終爬去的內(nèi)容寫入文件中 :param context: 匹配好的內(nèi)容 :param page: 當(dāng)前爬去的頁碼數(shù) ''' fileName = "di" + str(page) + "yehtml.txt" with open(fileName, "a") as file: file.writelines(context + "/n")if __name__ == '__main__': position=raw_input("請(qǐng)輸入職位:") workPlace=raw_input("請(qǐng)輸入工作地點(diǎn):") z=zhiLian() z.spider(position,workPlace)
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