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Python - Beautiful Soup to grab emails from website

I've been trying to figure out a simple way to run through a set of URLs that lead to pages that all have the same layout. We figured out that one issue is that in the original list the URLs are http but then they redirect to https. I am not sure if that then causes a problem in trying to pull the information from the page. I can see the structure of the page when I use Inspector in Chrome, but when I try to set up the code to grab relevant links I come up empty (literally). The most general code I have been using is:
soup = BeautifulSoup(urllib2.urlopen('https://ngcproject.org/program/algirls').read())
links = SoupStrainer('a')
print links
which yields:
a|{}
Given that I'm new to this I've been trying to work with anything that I think might work. I also tried:
mail = soup.find(attrs={'class':'tc-connect-details_send-email'}).a['href']
and
spans = soup.find_all('span', {'class' : 'tc-connect-details_send-email'})
lines = [span.get_text() for span in spans]
print lines
but these don't yield anything either.
I am assuming that it's an issue with my code and not one that the data are hidden from being scraped. Ideally I want to have the data passed to a CSV file for each URL I scrape but right now I need to be able to confirm that the code is actually grabbing the right information. Any suggestions welcome!

If you press CTRL+U on Google Chrome or Right click > view source.
You'll see that the page is rendered by using javascript or other.
urllib is not going to be able to display/download what you're looking for.
You'll have to use automated browser (Selenium - most popular) and you can use it with Google Chrome / Firefox or a headless browser (PhantomJS).
You can then get the information from Selenium and store it then manipulate it in anyway you see fit.

Web scraping for divs inserted by scripts

Sorry if this is a silly question.
I am trying to use Beautifulsoup and urllib2 in python to look at a url and extract all divs with a particular class. However, the result is always empty even though I can see the divs when I "inspect element" in chrome's developer tools.
I looked at the page source and those divs were not there which means they were inserted by a script. So my question is how can i look for those divs (using their class name) using Beautifulsoup? I want to eventually read and follow hrefs under those divs.
Thanks.
[Edit]
I am currently looking at the H&M website: http://www.hm.com/sg/products/ladies and I am interested to get all the divs with class 'product-list-item'

Try using selenium to run the javascript
from selenium import webdriver
driver = webdriver.Firefox()
driver.get("http://www.python.org")
html = driver.page_source

check this link enter link description here
you can get all info by change the url, this link can be found in chrome dev tools > Network

The reason why you got nothing from that specific url is simply because, the info you need is not there.
So first let me explain a little bit about how that page is loaded in a browser: when you request for that page(http://www.hm.com/sg/products/ladies), the literal content will be returned in the very first phase(which is what you got from your urllib2 request), then the browser starts to read/parse the content, basically it tells the browser where to find all information it needs to render the whole page(e.g. CSS to control layout, additional javascript/urls/pages to populate certain area etc.), and the browser does all that behind the scene. When you "inspect element" in chrome, the page is already fully loaded, and those info you want is not in original url, so you need to find out which url is used to populate those area and go after that specific url instead.
So now we need to find out what happens behind the scene, and a tool is needed to capture all traffic when that page loads(I would recommend fiddler).
As you can see, lots of things happen when you open that page in a browser!(and that's only part of the whole page-loading process) So by educated guess, those info you need should be in one of those three "api.hm.com" requests, and the best part is they are alread JSON formatted, which means you might not even bother with BeautifulSoup, the built-in json module could do the job!
OK, now what? Use urllib2 to simulate those requests and get what you want.
P.S. requests is a great tool for this kind of job, you can get it here.

Try This one :
from bs4 import BeautifulSoup
import urllib2
page = urllib2.urlopen("http://www.hm.com/sg/products/ladies")
soup = BeautifulSoup(page.read(),'lxml')
scrapdiv = open('scrapdiv.txt','w')
product_lists = soup.findAll("div",{"class":"o-product-list"})
print product_lists
for product_list in product_lists:
print product_list
scrapdiv.write(str(product_list))
scrapdiv.write("\n\n")
scrapdiv.close()

Python. Certain XPath expressions not working

I've been expermenting with XPath through Python.
The thing is that not all the expressions work.
I have just found the XPath helper chrome extension.
As you see Chrome detects the XPath, but Python doesn't.
The website : link
My code :
import __future__
from lxml import html
import requests
from bs4 import BeautifulSoup
page = requests.get('http://directory.ccnecommunity.org/reports/rptAccreditedPrograms_New.asp?sort=institution')
soup = str(BeautifulSoup(page.content, 'html.parser'))
tree = html.fromstring(soup)
smth = tree.xpath('/html/body/table[#class="center"][2]/tbody/tr[1]/td[2]/table[2]/tbody/tr/td/table/tbody/tr/td[2]/table/tbody/tr/td/text()')
print(smth)
smth list is empty. Why? It should have consisted of all the tds I indicated in the Xpath.

Somehow it getting annoying to get the same problem again and again with only slightly different questions.
The problem is ( and this will not changes) that the html on the page is completely broken. So you need to start to accept that the DOM interpretation is different between browser, lxml or BeautifulSoup. I suggest to save the soup string to a file an try to figure out what BeautifulSoup did with the broken html.
With that you may figure out what (if any) the right xpath may be.

Your xpath is using tbody as part of the selector, when no tbody tags exist in those tables. Your browser is filling in tbody sections when it renders the page because they're a required part of the spec, but if you view the source you'll see they don't actually exist.
Don't trust what the browser sees. Especially if you have javascript enabled. You'll often end up with pages where the element tree is nothing like your simple requests.get() will see.

Executing a page's JavaScript at a low level with Python?

When this page is scraped with urllib2:
url = https://www.geckoboard.com/careers/
response = urllib2.urlopen(url)
content = response.read()
the following element (the link to the job) is nowhere to be found in the source (content)
Taking a look at the full source that gets rendered in a browser:
So it would appear that the FRONT-END ENGINEER element is dynamically loaded by Javascript. Is it possible to have this Javascript executed by urllib2 (or other low-level library) without involving e.g. Selenium, BeautifulSoup, or other?

The pieces of information are loaded using some ajax request. You could use firebug extension for mozilla or google chrome has it's own tool to get theese details. Just hit f12 in google chrome while opening the URL. You can find the complete details there.
There you will find a request with url https://app.recruiterbox.com/widget/13587/openings/
Information from the above url is rendered in that web page.

From what I understand, you are building something generic for multiple web-sites and don't want to go deep down in how a certain site is loaded, what requests are made under-the-hood to construct the page. In this case, a real browser is your friend - load the page in a real browser automated via selenium - then, once the page is loaded, pass the .page_source to lxml.html (from what I see this is your HTML parser of choice) for further parsing.
If you don't want a browser to show up or you don't have a display, you can go headless - PhantomJS or a regular browser on a virtual display.
Here is a sample code to get you started:
from lxml.html import fromstring
from selenium import webdriver
driver = webdriver.PhantomJS()
driver.set_page_load_timeout(15)
driver.get("https://www.geckoboard.com/careers/")
# TODO: you might need a delay here
tree = fromstring(driver.page_source)
driver.close()
# TODO: parse HTML
You should also know that, there are plenty of methods to locate elements in selenium and you might not even need a separate HTML parser here.

I think you're looking for something like this: https://github.com/scrapinghub/splash

Python - How to scrape Tr/Td table data using 'requests & BeautifulSoup'

I'm new to programming. I'm trying out my first Web Crawler program that will help me with my job. I'm trying to build a program that will scrape tr/td table data from a web page, but am having difficulties succeeding. Here is what I have so far:
import requests
from bs4 import BeautifulSoup
def start(url):
source_code = requests.get(url).text
soup = BeautifulSoup(source_code)
for table_data in soup.find_all('td', {'class': 'sorting_1'}):
print(table_data)
start('http://www.datatables.net/')
My goal is to print out each line and then export it to an excel file.
Thank you,
-Cire

My recommendation is that if you are new to Python, play with things via the iPython notebook (interactive prompt) to get things working first and to get a feel for things before you try writing a script or a function. On the plus side all variables will stick around and it is much easier to see what is going on.
From the screen shot here, you can see immediately that the find_all function is not finding anything. An empty lists [] is being returned. By using ipython you can easily try other variants of a function on a previously defined variable. For example, the soup.find_all('td').

Looking at the source of http://www.datatables.net, I do not see any instances of the text sorting_1, so I wouldn't expect a search for all table cells of that class to return anything.
Perhaps that class appeared on a different URL associated with the DataTables website, in which case you would need to use that URL in your code. It's also possible that that class only appears after certain JavaScript has been run client-side (i.e. after certain actions with the sample tables, perhaps), and not on the initially loaded page.
I'd recommend starting with tags you know are on the initial page (seen by looking at the page source in your browser).
For example, currently, I can see a div with class="content". So the find_all code could be changed to the following:
for table_data in soup.find_all('div', {'class': 'content'}):
print(table_data)
And that should find something.
Response to comments from OP:
The precise reason why you're not finding that tag/class pairing in this case is that DataTables renders the table client-side via JavaScript, generally after the DOM has finished loading (although it depends on the page and where the DataTables init code is placed). That means the HTML associated with the base URL does not contain this content. You can see this if you curl the base URL and look at the output.
However when loading it in a browser, once the JavaScript for DataTables fires, the table is rendered and the DOM is dynamically modified to add the table, including cells with the class for which you're looking.