ProxyBoys

Python Requests Parse Html

• March 9, 2022
• 0

HTML Scraping – The Hitchhiker’s Guide to Python

Web Scraping¶
Web sites are written using HTML, which means that each web page is a
structured document. Sometimes it would be great to obtain some data from
them and preserve the structure while we’re at it. Web sites don’t always
provide their data in comfortable formats such as CSV or JSON.
This is where web scraping comes in. Web scraping is the practice of using a
computer program to sift through a web page and gather the data that you need
in a format most useful to you while at the same time preserving the structure
of the data.
lxml and Requests¶
lxml is a pretty extensive library written for parsing
XML and HTML documents very quickly, even handling messed up tags in the
process. We will also be using the
Requests module instead of the
already built-in urllib2 module due to improvements in speed and readability.
You can easily install both using pip install lxml and
pip install requests.
Let’s start with the imports:
from lxml import html
import requests
Next we will use to retrieve the web page with our data,
parse it using the html module, and save the results in tree:
page = (”)
tree = omstring(ntent)
(We need to use ntent rather than because
omstring implicitly expects bytes as input. )
tree now contains the whole HTML file in a nice tree structure which
we can go over two different ways: XPath and CSSSelect. In this example, we
will focus on the former.
XPath is a way of locating information in structured documents such as
HTML or XML documents. A good introduction to XPath is on
W3Schools.
There are also various tools for obtaining the XPath of elements such as
FireBug for Firefox or the Chrome Inspector. If you’re using Chrome, you
can right click an element, choose ‘Inspect element’, highlight the code,
right click again, and choose ‘Copy XPath’.
After a quick analysis, we see that in our page the data is contained in
two elements – one is a div with title ‘buyer-name’ and the other is a
span with class ‘item-price’:

$29. 95
Knowing this we can create the correct XPath query and use the lxml
xpath function like this:
#This will create a list of buyers:
buyers = (‘//div[@title=”buyer-name”]/text()’)
#This will create a list of prices
prices = (‘//span[@class=”item-price”]/text()’)
Let’s see what we got exactly:
print(‘Buyers: ‘, buyers)
print(‘Prices: ‘, prices)
Buyers: [‘Carson Busses’, ‘Earl E. Byrd’, ‘Patty Cakes’,
‘Derri Anne Connecticut’, ‘Moe Dess’, ‘Leda Doggslife’, ‘Dan Druff’,
‘Al Fresco’, ‘Ido Hoe’, ‘Howie Kisses’, ‘Len Lease’, ‘Phil Meup’,
‘Ira Pent’, ‘Ben D. Rules’, ‘Ave Sectomy’, ‘Gary Shattire’,
‘Bobbi Soks’, ‘Sheila Takya’, ‘Rose Tattoo’, ‘Moe Tell’]
Prices: [‘$29. 95’, ‘$8. 37’, ‘$15. 26’, ‘$19. 25’, ‘$19. 25’,
‘$13. 99’, ‘$31. 57’, ‘$8. 49’, ‘$14. 47’, ‘$15. 86’, ‘$11. 11’,
‘$15. 98’, ‘$16. 27’, ‘$7. 50’, ‘$50. 85’, ‘$14. 26’, ‘$5. 68’,
‘$15. 00’, ‘$114. 07’, ‘$10. 09’]
Congratulations! We have successfully scraped all the data we wanted from
a web page using lxml and Requests. We have it stored in memory as two
lists. Now we can do all sorts of cool stuff with it: we can analyze it
using Python or we can save it to a file and share it with the world.
Some more cool ideas to think about are modifying this script to iterate
through the rest of the pages of this example dataset, or rewriting this
application to use threads for improved speed.

Parsing HTML with python request – Stack Overflow

im not a coder but i need to implement a simple HTML parser.
After a simple research i was able to implement as a given example:
from lxml import html
import requests
page = (”)
tree = omstring(ntent)
#This will create a list of buyers:
buyers = (‘//div[@title=”buyer-name”]/text()’)
#This will create a list of prices
prices = (‘//span[@class=”item-price”]/text()’)
print ‘Buyers: ‘, buyers
print ‘Prices: ‘, prices
How can i use to parse all words ending with “” and starting with “”
asked Aug 10 ’18 at 14:08
3
As @nosklo pointed out here, you are looking for href tags and the associated links. A parse tree will be organized by the html elements themselves, and you find text by searching those elements specifically. For urls, this would look like so (using the lxml library in python 3. 6):
from lxml import etree
from io import StringIO
# Set explicit HTMLParser
parser = MLParser()
# Decode the page content from bytes to string
html = (“utf-8”)
# Create your etree with a StringIO object which functions similarly
# to a fileHandler
tree = (StringIO(html), parser=parser)
# Call this function and pass in your tree
def get_links(tree):
# This will get the anchor tags
refs = (“//a”)
# Get the url from the ref
links = [(‘href’, ”) for link in refs]
# Return a list that only ends with
return [l for l in links if l. endswith(”)]
# Example call
links = get_links(tree)
answered Aug 10 ’18 at 18:47, 5551 gold badge15 silver badges36 bronze badges
Not the answer you’re looking for? Browse other questions tagged python parsing html-parsing or ask your own question.

‘
Crab an Element’s root tag name:
Show the line number that an Element’s root tag located in:
Select an Element list within an Element:
>>> (‘a’)
[, , , , , ]
Search for links within an element:
>>> about. absolute_links
{”, ”, ”, ”, ”, ”}
Search for text on the page:
>>> (‘Python is a {} language’)[0]
programming
More complex CSS Selector example (copied from Chrome dev tools):
>>> sel = ‘body > lication-main > div. jumbotron. jumbotron-codelines > div > div > > p’
>>> print((sel, first=True))
GitHub is a development platform inspired by the way you work. From open source to business, you can host and review code, manage projects, and build software alongside millions of other developers.
XPath is also supported (learn more):
[]
You can also select only elements containing certain text:
>>> (‘a’, containing=’kenneth’)
[, , , ]
Let’s grab some text that’s rendered by JavaScript:
>>> ()
>>> (‘Python 2 will retire in only {months} months! ‘)[‘months’]
‘25‘
Or you can do this async also:
>>> await ()
Note, the first time you ever run the render() method, it will download
Chromium into your home directory (e. ~/. pyppeteer/). This only happens
once. You may also need to install a few Linux packages to get pyppeteer working.
You can also use this library without Requests:
>>> from requests_html import HTML
>>> doc = “””“””
>>> html = HTML(html=doc)
{”}
You can also render JavaScript pages without Requests:
# ^^ proceeding from above ^^
>>> script = “””
() => {
return {
width: ientWidth,
height: ientHeight,
deviceScaleFactor: vicePixelRatio, }}
“””
>>> val = (script=script, reload=False)
>>> print(val)
{‘width’: 800, ‘height’: 600, ‘deviceScaleFactor’: 1}
Returns the return value of the executed script, if any is provided:
>>> (script=script)
Warning: the first time you run this method, it will download
Chromium into your home directory (~/. pyppeteer).
search(template: str) → ¶
Search the Element for the given Parse template.
Parameters:template – The Parse template to use.
search_all(template: str) → Union[List[], ]¶
Search the Element (multiple times) for the given parse
template.
text¶
The text content of the
xpath(selector: str, *, clean: bool = False, first: bool = False, _encoding: str = None) → Union[List[str], List[requests_html. Element], str, requests_html. Element]¶
Given an XPath selector, returns a list of
selector – XPath Selector to use.
If a sub-selector is specified (e. //a/@href), a simple
list of results is returned.
See W3School’s XPath Examples
class requests_html. Element(*, element, url: str, default_encoding: str = None)[source]¶
An element of HTML.
element – The element from which to base the parsing upon.
attrs¶
Returns a dictionary of the attributes of the Element
Utility Functions¶
er_agent(style=None) → str[source]¶
Returns an apparently legit user-agent, if not requested one of a specific
style. Defaults to a Chrome-style User-Agent.
HTML Sessions¶
These sessions are for making HTTP requests:
class MLSession(**kwargs)[source]¶
close()[source]¶
If a browser was created close it first.
delete(url, **kwargs)¶
Sends a DELETE request. Returns Response object.
url – URL for the new Request object.
**kwargs – Optional arguments that request takes.
Return sponse
get(url, **kwargs)¶
Sends a GET request. Returns Response object.
get_adapter(url)¶
Returns the appropriate connection adapter for the given URL.
Return seAdapter
get_redirect_target(resp)¶
Receives a Response. Returns a redirect URI or None
head(url, **kwargs)¶
Sends a HEAD request. Returns Response object.
merge_environment_settings(url, proxies, stream, verify, cert)¶
Check the environment and merge it with some settings.
Return type:dict
mount(prefix, adapter)¶
Registers a connection adapter to a prefix.
Adapters are sorted in descending order by prefix length.
options(url, **kwargs)¶
Sends a OPTIONS request. Returns Response object.
patch(url, data=None, **kwargs)¶
Sends a PATCH request. Returns Response object.
data – (optional) Dictionary, list of tuples, bytes, or file-like
object to send in the body of the Request.
post(url, data=None, json=None, **kwargs)¶
Sends a POST request. Returns Response object.
json – (optional) json to send in the body of the Request.
prepare_request(request)¶
Constructs a PreparedRequest for
transmission and returns it. The PreparedRequest has settings
merged from the Request instance and those of the
Session.
Parameters:request – Request instance to prepare with this
session’s settings.
Return eparedRequest
put(url, data=None, **kwargs)¶
Sends a PUT request. Returns Response object.
rebuild_auth(prepared_request, response)¶
When being redirected we may want to strip authentication from the
request to avoid leaking credentials. This method intelligently removes
and reapplies authentication where possible to avoid credential loss.
rebuild_method(prepared_request, response)¶
When being redirected we may want to change the method of the request
based on certain specs or browser behavior.
rebuild_proxies(prepared_request, proxies)¶
This method re-evaluates the proxy configuration by considering the
environment variables. If we are redirected to a URL covered by
NO_PROXY, we strip the proxy configuration. Otherwise, we set missing
proxy keys for this URL (in case they were stripped by a previous
redirect).
This method also replaces the Proxy-Authorization header where
necessary.
request(method, url, params=None, data=None, headers=None, cookies=None, files=None, auth=None, timeout=None, allow_redirects=True, proxies=None, hooks=None, stream=None, verify=None, cert=None, json=None)¶
Constructs a Request, prepares it and sends it.
Returns Response object.
method – method for the new Request object.
params – (optional) Dictionary or bytes to be sent in the query
string for the Request.
json – (optional) json to send in the body of the
Request.
headers – (optional) Dictionary of HTTP Headers to send with the
cookies – (optional) Dict or CookieJar object to send with the
files – (optional) Dictionary of 'filename': file-like-objects
for multipart encoding upload.
auth – (optional) Auth tuple or callable to enable
Basic/Digest/Custom HTTP Auth.
timeout (float or tuple) – (optional) How long to wait for the server to send
data before giving up, as a float, or a (connect timeout,
read timeout) tuple.
allow_redirects (bool) – (optional) Set to True by default.
proxies – (optional) Dictionary mapping protocol or protocol and
hostname to the URL of the proxy.
stream – (optional) whether to immediately download the response
content. Defaults to False.
verify – (optional) Either a boolean, in which case it controls whether we verify
the server’s TLS certificate, or a string, in which case it must be a path
to a CA bundle to use. Defaults to True.
cert – (optional) if String, path to ssl client cert file ().
If Tuple, (‘cert’, ‘key’) pair.
resolve_redirects(resp, req, stream=False, timeout=None, verify=True, cert=None, proxies=None, yield_requests=False, **adapter_kwargs)¶
Receives a Response. Returns a generator of Responses or Requests.
response_hook(response, **kwargs) → MLResponse¶
Change response enconding and replace it by a HTMLResponse.
send(request, **kwargs)¶
Send a given PreparedRequest.
should_strip_auth(old_url, new_url)¶
Decide whether Authorization header should be removed when redirecting
class yncHTMLSession(loop=None, workers=None, mock_browser: bool = True, *args, **kwargs)[source]¶
An async consumable session.
request(*args, **kwargs)[source]¶
Partial original request func and run it in a thread.
run(*coros)[source]¶
Pass in all the coroutines you want to run, it will wrap each one
in a task, run it and wait for the result. Return a list with all
results, this is returned in the same order coros are passed in.
Decide whether Authorization header should be removed when redirecting

How To Kick Someone Offline With Their Ip

Why Can’T I Find My Craigslist Post