html-parser

Python: Extracting specific data with html parser

由 爱⌒轻易说出口 提交于 2019-12-10 10:14:22
问题 I started using the HTMLParser in Python to extract data from a website. I get everything I wanted, except the text within two tags of HTML. Here is an example of the HTML tag: <a href="http://wold.livingsources.org/vocabulary/1" title="Swahili" class="Vocabulary">Swahili</a> There are also other tags starting with . They have other attributes and values and therefore I do not want to have their data: <a href="http://wold.livingsources.org/contributor#schadebergthilo" title="Thilo Schadeberg"

How do I convert a document made in Jsoup (the Java html parser) into a string

由 扶醉桌前 提交于 2019-12-09 05:03:03
问题 I have a document that was made in jsoup that looks like this Document doc = Jsoup.connect("http://en.wikipedia.org/").get(); How do i convert that doc into a string. 回答1: Have you tried: Document doc = Jsoup.connect("http://en.wikipedia.org/").get(); String htmlString = doc.toString(); As Document extends Element it also has got the method html() which "Retrieves the element's inner HTML" according to the API. So that should work: Document doc = Jsoup.connect("http://en.wikipedia.org/").get(

HTMLParser for Python 3.4

由 那年仲夏 提交于 2019-12-09 03:36:50
问题 I have some code written in Python(2.7) which uses HTMLParser. I am using Pyhton 3.4 currently. I can not find HTMLParse download module. I have searched a lot. I cannot find it. I am concerned if it even exists. If it exists, please share the link. If not, what should I do? 回答1: You don't need install html parser for Python 3. It's pre installed. Just use: import html.parser 来源： https://stackoverflow.com/questions/27335750/htmlparser-for-python-3-4

Why is search query table displaying table Headers, and not data in BeautifulSoup (Python)?

由 孤街醉人 提交于 2019-12-08 03:47:35
问题 I am trying to parse this Link for searching the results Please select: School= All Sport=FootBall Conference=All Year=2005-2006 State=All This search result contains 226 entries and I would like to parse, all 226 entries and convert it into pandas dataframe such that dataframe contains"School","Conference","GSR",'FGR' and 'State'. So, far I was able to parse Table headers, but I cannot parse data from the table. Please advise with code and explanation. Note :I am new to Python and

Why is search query table displaying table Headers, and not data in BeautifulSoup (Python)?

由 独自空忆成欢 提交于 2019-12-06 15:33:49
I am trying to parse this Link for searching the results Please select: School= All Sport=FootBall Conference=All Year=2005-2006 State=All This search result contains 226 entries and I would like to parse, all 226 entries and convert it into pandas dataframe such that dataframe contains"School","Conference","GSR",'FGR' and 'State'. So, far I was able to parse Table headers, but I cannot parse data from the table. Please advise with code and explanation. Note :I am new to Python and Beautifulsoup. Code I have tried so far: url='https://web3.ncaa.org/aprsearch/gsrsearch' #Create a handle, page,

Python: Extracting specific data with html parser

由 老子叫甜甜 提交于 2019-12-06 03:20:07
I started using the HTMLParser in Python to extract data from a website. I get everything I wanted, except the text within two tags of HTML. Here is an example of the HTML tag: <a href="http://wold.livingsources.org/vocabulary/1" title="Swahili" class="Vocabulary">Swahili</a> There are also other tags starting with . They have other attributes and values and therefore I do not want to have their data: <a href="http://wold.livingsources.org/contributor#schadebergthilo" title="Thilo Schadeberg" class="Contributor">Thilo Schadeberg</a> The tag is an embedded tag within a table. I don't know if

Parsing HTML to get text inside an element

由 你离开我真会死。 提交于 2019-12-03 05:41:45
问题 I need to get the text inside the two elements into a string: source_code = """<span class="UserName"><a href="#">Martin Elias</a></span>""" >>> text 'Martin Elias' How could I achieve this? 回答1: I searched "python parse html" and this was the first result: https://docs.python.org/2/library/htmlparser.html This code is taken from the python docs from HTMLParser import HTMLParser # create a subclass and override the handler methods class MyHTMLParser(HTMLParser): def handle_starttag(self, tag,

Converting HTML list to nested Python list

由 馋奶兔 提交于 2019-11-30 16:21:29
If I have a nested html (unordered) list that looks like this: <ul> <li><a href="Page1_Level1.html">Page1_Level1</a> <ul> <li><a href="Page1_Level2.html">Page1_Level2</a> <ul> <li><a href="Page1_Level3.html">Page1_Level3</a></li> </ul> <ul> <li><a href="Page2_Level3.html">Page2_Level3</a></li> </ul> <ul> <li><a href="Page3_Level3.html">Page3_Level3</a></li> </ul> </li> </ul> </li> <li><a href="Page2_Level1.html">Page2_Level1</a> <ul> <li><a href="Page2_Level2.html">Page2_Level2</a></li> </ul> </li> </ul> How do I form a nested list out of it in Python? For example: ["Page1_Level1.html", [

Converting HTML list to nested Python list

由 怎甘沉沦 提交于 2019-11-30 16:08:35
问题 If I have a nested html (unordered) list that looks like this: <ul> <li><a href="Page1_Level1.html">Page1_Level1</a> <ul> <li><a href="Page1_Level2.html">Page1_Level2</a> <ul> <li><a href="Page1_Level3.html">Page1_Level3</a></li> </ul> <ul> <li><a href="Page2_Level3.html">Page2_Level3</a></li> </ul> <ul> <li><a href="Page3_Level3.html">Page3_Level3</a></li> </ul> </li> </ul> </li> <li><a href="Page2_Level1.html">Page2_Level1</a> <ul> <li><a href="Page2_Level2.html">Page2_Level2</a></li> </ul>

Scrape web page data generated by javascript

由 好久不见. 提交于 2019-11-26 11:55:28
My question is: How to scrape data from this website http://vtis.vn/index.aspx But the data is not shown until you click on for example "Danh sách chậm". I have tried very hard and carefully, when you click on "Danh sách chậm" this is onclick event which triggers some javascript functions one of the js functions is to get the data from the server and insert it to a tag/place holder and at this point you can use something like firefox to examine the data and yes, the data is display to users/viewers on the webpage. So again, how can we scrap this data programmatically? i wrote a scrapping
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