web scraping python beautifulsoup

Python tutorials on the Internet are mostly 2. in version X, python2.X and python3.X are greatly changed, and the usage of many libraries is not the same. I installed python3.X. let's take a look at the detailed examples. The Python tutorials on the Internet are mostly 2. in version X, python2.X and python3.X are greatly changed, and the usage of many libraries is not the same. I installed python3.X. let's

Python web crawler PyQuery basic usage tutorial, pythonpyquery Preface The pyquery library is implemented in Python of jQuery. It can use jQuery syntax to parse HTML documents. It is easy-to-use and fast-to-use, and similar to BeautifulSoup, it is used for parsing. Compared with the perfect and informative

: Copy Code code as follows: tutorial/ Scrapy.cfg tutorial/ __init__.py items.py pipelines.py settings.py spiders/ __init__.py ... Here are some basic information: SCRAPY.CFG: The project's configuration file. tutorial/: The Python module for the project, where you will import your code later. tutorial/items.py: Project items file. tutorial/pipelines.py: Project pipeline file. tutorial/settings

://m.cnbeta.com'+URL f.write (str (n)+','+name +','+'http://m.cnbeta.com'+url+'\ n') Try: HTML=urllib2.urlopen (URLLIB2. Request ('http://m.cnbeta.com'+url, headers=headers)). Read () filename=name+'. html'file=open (filename,'a') file.write (HTML)except: Print 'Not FOUND' #Print filenameTime.sleep (1) F.close () file.close ()Print ' Over'First need to crawl the page, the loop address, this place needs to note because many websites prohibit the machine to visit so need headers, omnipotenthea

Url==none:return #print url+ ' \ n ' Html=obj. GETHTML2 (URL) title,content=obj. Parsecontent (HTML) #print title+ ' \ n ' return titledef print_result (request, result): P Rint Str (Request.requestid) + ":" +result obj=htmlpaser () pool = ThreadPool. ThreadPool (Ten) for I in Range (1,40): url= "http://op.52pk.com/shtml/op_wz/list_2594_%d.shtml"% (i) html=obj. GETHTML2 (URL) items=obj. GetList (HTML) print ' Add Job%d\r '% (i) requests = threadpool.makerequests (obj. Parseitem, ite

#---------------------------------Import---------------------------------------#coding: Utf-8import urllib2;from BeautifulSoup Import beautifulsoup;#---------------------------------------------------------------------------- --def Main (): #抓 usermainurl = "Http://tieba.baidu.com/home/main?id=38b94c4ed8add8bcccabd7d31b22fr=userbar"; #修改抓取的链接地址 req = urllib2. Request (Usermainurl); RESP = Urllib2.urlo

'====',pyq(i).find('h4').text() ,'===='for j in pyq(i).find('.sub'):print pyq(j).text() ,print '\n' Python crawler html library BeautifulSoup One of the headaches is that most web pages do not fully comply with the standards, and all sorts of inexplicable errors make it hard for the person who wants to find the webpage. To solve this problem, we can select the f

response object returned from each URL as a parameter. Response is the only parameter to the method. This method is responsible for parsing the response data and presenting the crawled data (as the crawled items), tracking URLs The parse () method is responsible for processing response and returning fetch data (as the item object) and tracking more URLs (as the object of the request) This is the code for our first spider; It is saved in the Moz/spiders folder and is named dmoz_spider.py: From S

Below we will introduce three kinds of methods to crawl Web data, first is regular expression , then is popular beautifulsoup module, finally is the powerful lxml module. 1. Regular Expressions If you are not familiar with regular expressions, or need some hints, you can refer to regular Expression HOWTO for a complete introduction. When we use regular expressions to crawl country area data, we first try to

A good entry-level book is not the kind of book that tells you how to use the framework, from the historical origins of python, to the syntax of python, to the environment deployment, to develop a good entry-level book such as a small program, it is not the kind of book that gives you how to use the framework, from the historical origins of python, to the syntax