I'm trying to create a Java Program, where I can insert a String into a search bar and then record/print out the results.
This site is: http://maple.fm/khroa
I'm fairly new to JSoup and I've spent several hours just reading the html code regarding that page and have come across variables that could be used to insert the String that I need and get results, although I'm not sure how to exactly do that. Would someone be able to point me to the right direction?
I think you missed the point of JSOUP.
JSOUP can parse a page that is already loaded - it is not used to interact with a page (as you want). You could use Selenium to interact with the page (http://www.seleniumhq.org/) and then use JSOUP to parse the loaded page's source code.
In this case, the search results seem to be all loaded when the page load, and the Item Search function only filters the (already existing) results with Javascript.
There are no absolute links you could use to get results to a particular search.
Can anybody help me on reading data from google webpage. for example:i want to read the links, author names below the links and PDF or HTML links on the right side to my database using Java.
Please find the link here:
http://scholar.google.com/scholar?hl=en&q=visualization&btnG=&as_sdt=1%2C4&as_sdtp=
What you're asking about is called data extraction. You need to load the HTML page and then logically select the pieces of information from the HTML.
Start by using an HTML parser to read the HTML page and then look for the patterns in how Google lays out its scholar links. You might find that things are listed in an un-ordered list, or maybe certain elements have an identifying tag or class that you can use to extract the data you want.
I use jsoup to parse a HTML page and when using doc.select("tr") it should place return a list with all <tr> elements. When I investigate the size of that list it tells me 242. Although when using Chrome to double check against the source with a simple search, it got 264 hits.
This makes my code break. It seems almost like jsoup doesn't handle a lot of Elements very well.
I'm parsing a page with a table, 262 * 88 cells and almost as many helper tags. Is this the reason why jsoup doesn't have the objects in the list? Or why do you think I'm having this problem?
There may be a differance in the websites. You often get a different view if you have a desktop browser, than e.g. a mobile device.
You can try this with jsoup:
Set a user agent of a browser
Print the parsed document (System.out.println(doc)) and check if all tags are included
Check the website using another browser
Check if there's no javascript (or similar) which creates additional html (jsoup can't handle those)
I want to collect domain names (crawling). I have wrote a simple Java application that reads HTML page and save the code in text file. Now, I want to parse this text in order to collect all domain names without douplicates. But I need the domain names without "http://www.", just domainname.topleveldmian or the possibilities of dmianname.subdomain.topleveldomain or whatever number of subdomains (then, the collected links need to be extracted the same way and collect the links inside them till I reach certain number of links, say 100).
I have asked about this in previous posts https://stackoverflow.com/questions/11113568/simple-efficient-java-web-crawler-to-extract-hostnames , and searched. JSoup seems good solution but I have not worked with JSoup before, so before going deeply on it. I just want to ask: Does it achieve what I want to do ?? Any other suggestions for achieving my simple crawling in a simple way are welcome.
jsoup is a Java library for working with real-world HTML. It provides
a very convenient API for extracting and manipulating data, using the
best of DOM, CSS, and jquery-like methods
So yes, you can connect to a website extract its html and parse it with jsoup.
The logic of extracting the top level domain is "your part" you will need to write the code logic yourself.
Take a look at the docs for more options...
Use selector-syntax to find elements
Use DOM methods to navigate a document
Update
Boilerpipe appears to work really well, but I realized that I don't need only the main content because many pages don't have an article, but only links with some short description to the entire texts (this is common in news portals) and I don't want to discard these shorts text.
So if an API does this, get the different textual parts/the blocks splitting each one in some manner that differ from a single text (all in only one text is not useful), please report.
The Question
I download some pages from random sites, and now I want to analyze the textual content of the page.
The problem is that a web page have a lot of content like menus, publicity, banners, etc.
I want to try to exclude all that is not related with the content of the page.
Taking this page as example, I don't want the menus above neither the links in the footer.
Important: All pages are HTML and are pages from various differents sites. I need suggestion of how to exclude these contents.
At moment, I think in excluding content inside "menu" and "banner" classes from the HTML and consecutive words that looks like a proper name (first capital letter).
The solutions can be based in the the text content(without HTML tags) or in the HTML content (with the HTML tags)
Edit: I want to do this inside my Java code, not an external application (if this can be possible).
I tried a way parsing the HTML content described in this question : https://stackoverflow.com/questions/7035150/how-to-traverse-the-dom-tree-using-jsoup-doing-some-content-filtering
Take a look at Boilerpipe. It is designed to do exactly what your looking for, remove the surplus "clutter" (boilerplate, templates) around the main textual content of a web page.
There are a few ways to feed HTML into Boilerpipe and extract HTML.
You can use a URL:
ArticleExtractor.INSTANCE.getText(url);
You can use a String:
ArticleExtractor.INSTANCE.getText(myHtml);
There are also options to use a Reader, which opens up a large number of options.
You can also use boilerpipe to segment the text into blocks of full-text/non-full-text, instead of just returning one of them (essentially, boilerpipe segments first, then returns a String).
Assuming you have your HTML accessible from a java.io.Reader, just let boilerpipe segment the HTML and classify the segments for you:
Reader reader = ...
InputSource is = new InputSource(reader);
// parse the document into boilerpipe's internal data structure
TextDocument doc = new BoilerpipeSAXInput(is).getTextDocument();
// perform the extraction/classification process on "doc"
ArticleExtractor.INSTANCE.process(doc);
// iterate over all blocks (= segments as "ArticleExtractor" sees them)
for (TextBlock block : getTextBlocks()) {
// block.isContent() tells you if it's likely to be content or not
// block.getText() gives you the block's text
}
TextBlock has some more exciting methods, feel free to play around!
There appears to be a possible problem with Boilerpipe. Why?
Well, it appears that is suited to certain kinds of web pages, such as web pages that have a single body of content.
So one can crudely classify web pages into three kinds in respect to Boilerpipe:
a web page with a single article in it (Boilerpipe worthy!)
a web with multiple articles in it, such as the front page of the New York times
a web page that really doesn't have any article in it, but has some content in respect to links, but may also have some degree of clutter.
Boilerpipe works on case #1. But if one is doing a lot of automated text processing, then how does one's software "know" what kind of web page it is dealing with? If the web page itself could be classified into one of these three buckets, then Boilerpipe could be applied for case #1. Case #2 is a problem, and case#3 is a problem as well - it might require an aggregate of related web pages to determine what is clutter and what isn't.
You can use some libs like goose. It works best on articles/news.
You can also check javascript code that does similar extraction as goose with the readability bookmarklet
My first instinct was to go with your initial method of using Jsoup. At least with that, you can use selectors and retrieve only the elements that you want (i.e. Elements posts = doc.select("p"); and not have to worry about the other elements with random content.
On the matter of your other post, was the issue of false positives your only reasoning for straying away from Jsoup? If so, couldn't you just tweak the number of MIN_WORDS_SEQUENCE or be more selective with your selectors (i.e. do not retrieve div elements)
http://kapowsoftware.com/products/kapow-katalyst-platform/robo-server.php
Proprietary software, but it makes it very easy to extract from webpages and integrates well with java.
You use a provided application to design xml files read by the roboserver api to parse webpages. The xml files are built by you analyzing the pages you wish to parse inside the provided application (fairly easy) and applying rules for gathering the data (generally, websites follow the same patterns). You can setup the scheduling, running, and db integration using the provided Java API.
If you're against using software and doing it yourself, I'd suggest not trying to apply 1 rule to all sites. Find a way to separate tags and then build per-site
You're looking for what are known as "HTML scrapers" or "screen scrapers". Here are a couple of links to some options for you:
Tag Soup
HTML Unit
You can filter the html junk and then parse the required details or use the apis of the existing site.
Refer the below link to filter the html, i hope it helps.
http://thewiredguy.com/wordpress/index.php/2011/07/dont-have-an-apirip-dat-off-the-page/
You could use the textracto api, it extracts the main 'article' text and there is also the opportunity to extract all other textual content. By 'subtracting' these texts you could split the navigation texts, preview texts, etc. from the main textual content.