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kshitij.so |
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import urllib2
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from BeautifulSoup import BeautifulSoup
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import re
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from sys import exit
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import json
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headers = {
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'User-agent':'Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2062.120 Safari/537.36',
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'Accept' : 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
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'Accept-Language' : 'en-US,en;q=0.8',
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'Accept-Charset' : 'ISO-8859-1,utf-8;q=0.7,*;q=0.3',
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'Cookie':'T=TI141257426738726661427143281839817329423126740566618323641725716448; __sonar=7237334677420142002; __gads=ID=c8b82101a0e4f451:T=1412574724:S=ALNI_MbPMbEOZj2nAGjM54z8ZHFMqwTOTQ; FK-CMP-DATA=; SN=2.VI11FB3FB6ED9D4693A796AB8C965B3417.SI802C325AC43444858830E870C4FD3324.VS141257426735693951472.1412576209; VID=2.VI11FB3FB6ED9D4693A796AB8C965B3417.1412576209.VS141257426735693951472; NSID=2.SI802C325AC43444858830E870C4FD3324.1412576209.VI11FB3FB6ED9D4693A796AB8C965B3417; __utma=19769839.709301254.1412574234.1412574234.1412574234.1; __utmb=19769839.23.10.1412574234; __utmc=19769839; __utmz=19769839.1412574234.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); s_cc=true; gpv_pn=SellerListing%3AMobile%3AMicromax%20Canvas%20Fire%20A093; gpv_pn_t=no%20value; s_sq=%5B%5BB%5D%5D; pincode=110011; s_ppv=36',
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'Connection':'keep-alive'
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}
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class FlipkartProductPageScraper:
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def __init__(self):
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self.count_trials = 0
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self.redirectCount = 0
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def read(self, url):
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request = urllib2.Request(url)
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request.add_header('Accept','text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8')
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request.add_header('Accept-Language','en-US,en;q=0.8,hi;q=0.6')
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request.add_header('Connection','keep-alive')
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request.add_header('Cookie','T=TI141257426738726661427143281839817329423126740566618323641725716448; __sonar=7237334677420142002; __gads=ID=c8b82101a0e4f451:T=1412574724:S=ALNI_MbPMbEOZj2nAGjM54z8ZHFMqwTOTQ; FK-CMP-DATA=; SN=2.VI11FB3FB6ED9D4693A796AB8C965B3417.SI802C325AC43444858830E870C4FD3324.VS141257426735693951472.1412576209; VID=2.VI11FB3FB6ED9D4693A796AB8C965B3417.1412576209.VS141257426735693951472; NSID=2.SI802C325AC43444858830E870C4FD3324.1412576209.VI11FB3FB6ED9D4693A796AB8C965B3417; __utma=19769839.709301254.1412574234.1412574234.1412574234.1; __utmb=19769839.23.10.1412574234; __utmc=19769839; __utmz=19769839.1412574234.1.1.utmcsr=(direct)|utmccn=(direct)|utmcmd=(none); s_cc=true; gpv_pn=SellerListing%3AMobile%3AMicromax%20Canvas%20Fire%20A093; gpv_pn_t=no%20value; s_sq=%5B%5BB%5D%5D; pincode=110011; s_ppv=36')
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request.add_header('Cache-Control','max-age=0')
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request.add_header('Host','www.flipkart.com')
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request.add_header('User-Agent','Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2062.120 Safari/537.36')
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response_data = ""
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redirect_url = ""
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try:
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req = urllib2.Request(url,headers=headers)
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response = urllib2.urlopen(req)
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response_data = response.read()
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print "Fetched response from flipkart for %s" %(url)
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redirect_url = response.url
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except Exception as e:
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print 'ERROR: ', e
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print 'Retrying'
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self.count_trials += 1
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if self.count_trials < 3:
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return self.read(url)
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self.response_data=response_data
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return self.createData(url,redirect_url)
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def scrapeRedirectedPage(self,soup,redirect_url):
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print soup
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print redirect_url
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t = soup.find("div" , {"class" : "seller-table fk-user-select-none line"})
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print t
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table_rows = t.findAll("tr" , {"class" : re.compile('t-row.*')})
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print table_rows
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for x in table_rows:
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print x
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def createData(self,url, redirect_url):
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print "Creating soup from flipkart data for %s" %(url)
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#redirect_url = redirect_url.replace('www.flipkart.com','163.53.77.21')
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print "Redirect url is %s"%(redirect_url)
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page=self.response_data.decode("utf-8")
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self.soup = BeautifulSoup(page,convertEntities=BeautifulSoup.HTML_ENTITIES)
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page = None
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self.response_data = None
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print "Soup created from flipkart data for %s" %(url)
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| 14333 |
kshitij.so |
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print redirect_url
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return self.scrape(self.soup,url)
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| 14122 |
kshitij.so |
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def scrape(self,soup,url):
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try:
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print "data-config"
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if soup.find('div',{'class':'seller-table-wrap section'}) is None:
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raise
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x = json.loads(soup.find('div',{'class':'seller-table-wrap section'})['data-config'])['dataModel']
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lines = sorted(x, key=lambda k: k['priceInfo'].get('sellingPrice', 0), reverse=False)
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sellingPrice = float(lines[0]['priceInfo']['sellingPrice'])
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try:
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offerText = lines[0]['offerInfo']['listingOffers'][0]['description']
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except:
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offerText = ""
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return {'lowestSp':sellingPrice,'inStock':1}
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except:
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return {'lowestSp':0,'inStock':0}
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if __name__ == '__main__':
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scraper = FlipkartProductPageScraper()
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| 14333 |
kshitij.so |
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print scraper.read('http://www.flipkart.com/samsung-galaxy-e7/p/itme3un6wdygtqtr?pid=MOBE3UN6NYKGPZPM')
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