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Mechanize

Mechanize
Stateful programmatic web browsing in Python, after Andy Lester’s Perl module WWW::Mechanize. The examples below are written for a website that does not exist (example.com), so cannot be run. There are also some working examples that you can run. import reimport mechanize br = mechanize.Browser()br.open(" follow second link with element text matching regular expressionresponse1 = br.follow_link(text_regex=r"cheese\s*shop", nr=1)assert br.viewing_html()print br.title()print response1.geturl()print response1.info() # headersprint response1.read() # body br.select_form(name="order")# Browser passes through unknown attributes (including methods)# to the selected HTMLForm.br["cheeses"] = ["mozzarella", "caerphilly"] # (the method here is __setitem__)# Submit current form. # print currently selected form (don't call .submit() on this, use br.submit())print br.form mechanize exports the complete interface of urllib2:

Using A Gui To Build Packages Not everyone is a command line junkie. Some folks actually prefer the comfort of a Windows GUI application for performing tasks such as package creation. The NuGet Package Explorer click-once application makes creating packages very easy. It's also a great way to examine packages and learn how packages are structured. If you’re integrating building packages into a build system, then using NuGet.exe to create and publish packages is a better choice. Installation Installing Package Explorer is easy, click here and you’re done! Package Explorer is a click-once application which means every time you launch it, it will check for updates and allow you to keep the application up to date. Creating a Package To create a package, launch Package Explorer and select File > New menu option (or hit CTRL + N). Then select the Edit > Edit Package Metadata menu option (or CTRL + K) to edit the package metadata. The metadata editor provides a GUI editor for editing the underlying nuspec file.

C# - Scraping Content From Webpage? Sponsored Links: Related Forum Messages For ASP.NET category: Scraping Text Of A Webpage? I need to scrape about the first 1000 visible words that appear on a web page. I am hoping something already exists like this so that I don't have to code it myself. Posted: Apr 09, 2009 02:32 AM Scraping .aspx Content Using Python? Is there a way I could scrape the gas prices? Posted: Apr 29 10 at 23:34 VS 2008 Screen Scraping Or Web Scraping Every night I have a program that runs that creates a natural gas report. The page that is in our system is as ASP page and it uses FileUp to create the file. Here is my question - can I write a program in .NET that runs a page, parses the resulting HTML and extracts out the expert analysis all automatically? Posted: Apr 8th, 2010, 07:28 AM "Scraping" Data From A Webpage And Merging It With SQL Query Results? I have most of the price data but the national operator does not have a price catalogue. I would like to include their price data in my web page too. 1. 2.

What are good Perl or Python starting points for a site scraping library How to get along with an ASP webpage Fingal County Council of Ireland recently published a number of sets of Open Data, in nice clean CSV, XML and KML formats. Unfortunately, the one set of Open Data that was difficult to obtain, was the list of sets of open data. That’s because the list was separated into four separate pages. The important thing to observe is that Next >> link is no ordinary link. You can see something is wrong when you hover your cursor over it. Here’s what it looks like in the HTML source code: <a id="lnkNext" href="javascript:__doPostBack('lnkNext','')">Next >></a> What it does (instead of taking the browser to the next page) is execute the javascript function __doPostBack(). Now, this could take a long time to untangle by stepping through the javascript code to the extent that it would be a hopeless waste of time, but for the fact that this is code generated by Microsoft and there are literally millions of webpages that work in exactly the same way. <script type="text/javascript"> //<! What do we get? 1. 2.

12.2 Parsing HTML documents 12.2 Parsing HTML documents This section only applies to user agents, data mining tools, and conformance checkers. The rules for parsing XML documents into DOM trees are covered by the next section, entitled "The XHTML syntax". User agents must use the parsing rules described in this section to generate the DOM trees from text/html resources. HTML parser While the HTML syntax described in this specification bears a close resemblance to SGML and XML, it is a separate language with its own parsing rules. Some earlier versions of HTML (in particular from HTML2 to HTML4) were based on SGML and used SGML parsing rules. Authors interested in using SGML tools in their authoring pipeline are encouraged to use XML tools and the XML serialization of HTML. This specification defines the parsing rules for HTML documents, whether they are syntactically correct or not. parse errors . Parse errors are only errors with the syntax of HTML. 12.2.1 Overview of the parsing model ... script nesting level 12.2.2 The

Scrapemark - Documentation ScrapeMark is analagous to a regular expression engine. A ‘pattern’ with special syntax is applied to the HTML being scraped. If the pattern correctly matches, captured values are returned. ScrapeMark’s pattern syntax is simpler than regular expression syntax and is optimized for use with HTML. Internally, ScrapeMark compiles a pattern down to a set of regular expressions, making it very fast, faster than any DOM-based approach. Pattern Syntax A pattern contains PLAIN OLD HTML, in addition to some special markup. Anectors and siblings can be omitted The pattern <li><a></a></li> will match <li><span><a>some text</a></span></li>The pattern <hr /><p/> will match <hr /><input /><p>my paragraph</p> Tag attributes can be omitted or ordered differently (AND quotes...) The pattern <a></a> will match <a href='page.html'></a>The pattern <input id='email' type='text' /> will match <input type='text' id='email' /> Whitespace and case are relaxed Text only needs to partially match {{ variablename }} Filters

Examples — webscraping documentation Simple extraction Except project title from the Google Code page: from webscraping import download, xpathD = download.Download()# download and cache the Google Code webpagehtml = D.get(' use xpath to extract the project titleproject_title = xpath.get(html, '//div[@id="pname"]/a/span') Blog scraper Scrape all articles from a blog import itertoolsimport urlparsefrom webscraping import common, download, xpath DOMAIN = ...writer = common.UnicodeWriter('articles.csv')writer.writerow(['Title', 'Num reads', 'URL'])seen_urls = set() # track which articles URL's already seen, to prevent duplicatesD = download.Download() # iterate each of the categoriesfor category_link in ('/developer/knowledge-base? Business directory threaded scraper Scrape all businesses from this popular directory Daily deal threaded scraper Scrape all deals from a popular daily deal website:

juicedpyshell - This Python Firefox Shell Mashup lets you automate Firefox browser using python scripts The Juiced Python Firefox Shell lets you automate a browser using python scripts. It requires that the pyxpcomext extension be installed. It is useful for browser automation, including automated testing of web sites. It makes it easy to do screen scraping and html manipulation using Python. This project is a fork of the pyShell project. Documentation is available here Introduction Juiced PyShell is a Python shell that you can install into your Firefox browser. Why do it this way? Web 2.0 There are other technologies that allow Python to access web pages. Local Markup Additionally, you may not want a standalone program that crawls web pages. Features Juiced PyShell gives you complete access to the Python language, standard libraries, and libraries that you install. Wraps common XPCOM functions such as getting a browser window, waiting for pages to load up, etc.

pyquery: a jquery-like library for python — pyquery 1.2.4 documentation pyquery allows you to make jquery queries on xml documents. The API is as much as possible the similar to jquery. pyquery uses lxml for fast xml and html manipulation. This is not (or at least not yet) a library to produce or interact with javascript code. It can be used for many purposes, one idea that I might try in the future is to use it for templating with pure http templates that you modify using pyquery. The project is being actively developped on a git repository on Github. Please report bugs on the github issue tracker. You can use the PyQuery class to load an xml document from a string, a lxml document, from a file or from an url: >>> from pyquery import PyQuery as pq>>> from lxml import etree>>> import urllib>>> d = pq("<html></html>")>>> d = pq(etree.fromstring("<html></html>"))>>> d = pq(url=' # d = pq(url=' opener=lambda url, **kw: urllib.urlopen(url).read())>>> d = pq(filename=path_to_html_file) Now d is like the $ in jquery:

IDE - Overview NetBeans IDE lets you quickly and easily develop Java desktop, mobile, and web applications, as well as HTML5 applications with HTML, JavaScript, and CSS. The IDE also provides a great set of tools for PHP and C/C++ developers. It is free and open source and has a large community of users and developers around the world. Best Support for Latest Java Technologies NetBeans IDE is the official IDE for Java 8. Batch analyzers and converters are provided to search through multiple applications at the same time, matching patterns for conversion to new Java 8 language constructs. With its constantly improving Java Editor, many rich features and an extensive range of tools, templates and samples, NetBeans IDE sets the standard for developing with cutting edge technologies out of the box. Videos and more information Fast & Smart Code Editing An IDE is much more than a text editor. The editor supports many languages from Java, C/C++, XML and HTML, to PHP, Groovy, Javadoc, JavaScript and JSP. See Also

scrape.py scrape.py is a Python module for scraping content from webpages. Using it, you can easily fetch pages, follow links, and submit forms. Cookies, redirections, and SSL are handled automatically. (For SSL, you either need a version of Python with the socket.ssl function, or the curl command-line utility.) scrape.py does not parse the page into a complete parse tree, so it can handle pages with sloppy syntax. You can download the module or read the documentation page. Here's a quick walkthrough. Fetching a page To fetch a page, you call the go(url) method on a Session object. >>> from scrape import * >>> s.go(' 0:25751> The result is a Region object spanning the entire retrieved document (all 25751 bytes). After any successful fetch, the session's doc attribute also contains the document. On a Region, the raw content is available in the content attribute, and the plain text is available in the text attribute. >>> d = s.doc >>> print d.content[:70]<! Extracting content

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