bs4

Access to a specific table in html tag

由 ＊爱你＆永不变心＊ 提交于 2019-12-06 16:28:15
问题 I am going to use beautifulsoup to find a table that defined in the “content logical definition” in the following links: 1) https://www.hl7.org/fhir/valueset-account-status.html 2) https://www.hl7.org/fhir/valueset-activity-reason.html 3) https://www.hl7.org/fhir/valueset-age-units.html Several tables may be defined in the pages. The table I want is located under <h2> tag with text “content logical definition” . Some of the pages may lack of any table in the “content logical definition”

Pull Data/Links from Google Searches using Beautiful Soup

由 别来无恙 提交于 2019-12-06 12:45:55
问题 Evening Folks, I'm attempting to ask Google a question, and pull all the relevant links from its respected search query (i.e. I search "site: Wikipedia.com Thomas Jefferson" and it gives me wiki.com/jeff, wiki.com/tom, etc.) Here's my code: from bs4 import BeautifulSoup from urllib2 import urlopen query = 'Thomas Jefferson' query.replace (" ", "+") #replaces whitespace with a plus sign for Google compatibility purposes soup = BeautifulSoup(urlopen("https://www.google.com/?gws_rd=ssl#q=site

How Do I Remove An XML Declaration Using BeautifulSoup4

由 爷，独闯天下 提交于 2019-12-06 07:28:08
I have an XHTML file that is structured like this: <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE html> <html lang="en"> <head> ... </head> <body> ... </body> <html> I'm using BeautifulSoup and I want to remove the XML declaration from the document, so what I have looks like this: <!DOCTYPE html> <html lang="en"> <head> ... </head> <body> ... </body> <html> I can't find a way to get at the XML declaration to remove it. It doesn't appear to be a Doctype, Declaration, Tag, or NavigableString as far as I can tell. Is there a way I can find this to extract it? As a working example, I can remove

What is the practical difference between these two ways of making web connections in Python?

由 倖福魔咒の 提交于 2019-12-05 02:30:49
问题 I have notice there are several ways to iniciate http connections for web scrapping. I am not sure if some are more recent and up-to-date ways of coding, or if they are just different modules with different advantages and disadvantages. More specifically, I am trying to understand what are the differences between the following two approaches, and what would you reccomend? 1) Using urllib3: http = PoolManager() r = http.urlopen('GET', url, preload_content=False) soup = BeautifulSoup(r, "html

import error due to bs4 vs BeautifulSoup

由 时光怂恿深爱的人放手 提交于 2019-12-04 14:13:11
问题 I am trying to use beautifulsoup compatible lxml and it is giving me an error: from lxml.html.soupparser import fromstring Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Library/Python/2.7/site-packages/lxml/html/soupparser.py", line 7, in <module> from BeautifulSoup import \ ImportError: No module named BeautifulSoup I have bs4 installed. How do I fix this issue? 回答1: The error is caused by soupparser.py trying to import BeautifulSoup version 3 while you have

What is the practical difference between these two ways of making web connections in Python?

由 若如初见. 提交于 2019-12-03 21:29:10
I have notice there are several ways to iniciate http connections for web scrapping. I am not sure if some are more recent and up-to-date ways of coding, or if they are just different modules with different advantages and disadvantages. More specifically, I am trying to understand what are the differences between the following two approaches, and what would you reccomend? 1) Using urllib3: http = PoolManager() r = http.urlopen('GET', url, preload_content=False) soup = BeautifulSoup(r, "html.parser") 2) Using requests html = requests.get(url).content soup = BeautifulSoup(html, "html5lib") What

Extract News article content from stored .html pages

由 拈花ヽ惹草 提交于 2019-12-03 03:55:21
问题 I am reading text from html files and doing some analysis. These .html files are news articles. Code: html = open(filepath,'r').read() raw = nltk.clean_html(html) raw.unidecode(item.decode('utf8')) Now I just want the article content and not the rest of the text like advertisements, headings etc. How can I do so relatively accurately in python? I know some tools like Jsoup(a java api) and bolier but I want to do so in python. I could find some techniques using bs4 but there limited to one

Extract News article content from stored .html pages

由 早过忘川 提交于 2019-12-02 17:18:39
I am reading text from html files and doing some analysis. These .html files are news articles. Code: html = open(filepath,'r').read() raw = nltk.clean_html(html) raw.unidecode(item.decode('utf8')) Now I just want the article content and not the rest of the text like advertisements, headings etc. How can I do so relatively accurately in python? I know some tools like Jsoup(a java api) and bolier but I want to do so in python. I could find some techniques using bs4 but there limited to one type of page. And I have news pages from numerous sources. Also, there is dearth of any sample code

Using python requests and beautiful soup to pull text

由 纵饮孤独 提交于 2019-12-01 03:04:15
问题 thanks for taking a look at my problem. i would like to know if there is any way to pull the data-sitekey from this text... here is the url to the page https://e-com.secure.force.com/adidasUSContact/ <div class="g-recaptcha" data-sitekey="6LfI8hoTAAAAAMax5_MTl3N-5bDxVNdQ6Gx6BcKX" data-type="image" id="ncaptchaRecaptchaId"><div style="width: 304px; height: 78px;"><div><iframe src="https://www.google.com/recaptcha/api2/anchor?k=6LfI8hoTAAAAAMax5_MTl3N-5bDxVNdQ6Gx6BcKX&co

Extract `src` attribute from `img` tag using BeautifulSoup

由 家住魔仙堡 提交于 2019-11-28 01:01:42
<div class="someClass"> <a href="href"> <img alt="some" src="some"/> </a> </div> I use bs4 and I cannot use a.attrs['src'] to get the src , but I can get href . What should I do? You can use BeautifulSoup to extract src attribute of an html img tag. In my example, the htmlText contains the img tag itself but this can be used for a URL too along with urllib2 . For URLs from BeautifulSoup import BeautifulSoup as BSHTML import urllib2 page = urllib2.urlopen('http://www.youtube.com/') soup = BSHTML(page) images = soup.findAll('img') for image in images: #print image source print image['src']
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