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How to fetch href link from a website using BeautifulSoup

I am trying to get all the article links in a given website below.
However, my code does not print anything at all although I specified the class id and the path to it.
below is my code.
import requests
from lxml import html
from bs4 import BeautifulSoup
from urllib.request import urlopen
html = urlopen("https://uynaa.wordpress.com/category/%d0%be%d1%80%d1%87%d1%83%d1%83%d0%bb%d0%b3%d1%8b%d0%bd-%d0%bd%d0%b8%d0%b9%d1%82%d0%bb%d1%8d%d0%bb/").read()
soup = BeautifulSoup(html, "lxml")
productDivs = soup.findAll('div', attrs={'class' : 'post type-post status-publish format-standard hentry category-56456384'})
for div in productDivs:
print(div.find('h2')[a]['href'])
How do I fetch all the links?

The links are loaded dynamically via JavaScript from external URL. You can use this example to print all links:
import json
import requests
from bs4 import BeautifulSoup
data = {'action': 'infinite_scroll', 'page': 1}
api_url = 'https://uynaa.wordpress.com/?infinity=scrolling'
page = 1
while True:
data['page'] = page
data = requests.post(api_url, data=data).json()
# uncomment next line to print all data:
# print(json.dumps(data, indent=4))
for p in data['postflair']:
print(p)
if data['lastbatch']:
break
page += 1
Prints:
https://uynaa.wordpress.com/2014/01/02/2013-in-review/
https://uynaa.wordpress.com/2013/10/07/%d0%b0%d1%84%d0%b3%d0%b0%d0%bd%d0%b8%d1%81%d1%82%d0%b0%d0%bd-%d0%b0%d0%bd%d1%85%d0%b4%d0%b0%d0%b3%d1%87-%d1%88%d0%b0%d0%bb%d1%82%d0%b3%d0%b0%d0%b0%d0%bd/
https://uynaa.wordpress.com/2013/10/07/%d0%b5-%d0%ba%d0%b0%d1%81%d0%bf%d0%b5%d1%80%d1%81%d0%ba%d0%b8%d0%b9-%d0%b1%d0%b8-%d0%b4%d0%b0%d1%80%d0%b0%d0%bd%d0%b3%d1%83%d0%b9%d0%bb%d0%b0%d0%bb-%d1%82%d0%be%d0%b3%d1%82%d0%be%d0%be-%d0%b3%d1%8d/
https://uynaa.wordpress.com/2013/10/07/%d1%88%d0%b0%d0%bd%d1%85%d0%b0%d0%b9-%d0%bd%d0%be%d0%b3%d0%be%d0%be%d0%bd/
https://uynaa.wordpress.com/2013/10/07/%d1%8d%d0%bd%d1%8d-%d0%b3%d0%b0%d0%b7%d0%b0%d1%80-%d0%bc%d0%b0%d0%bd%d0%b0%d0%b9%d1%85-%d0%b1%d0%b0%d0%b9%d1%81%d0%b0%d0%bd-%d1%8e%d0%bc/
https://uynaa.wordpress.com/2013/10/07/500-%d0%b6%d0%b8%d0%bb-%d0%b0%d1%80%d1%87%d0%bb%d1%83%d1%83%d0%bb%d0%b0%d0%b0%d0%b3%d2%af%d0%b9-%d0%b4%d1%8d%d0%bb%d1%85%d0%b8%d0%b9%d0%bd-%d1%86%d0%be%d1%80%d1%8b%d0%bd-%d0%b3%d0%b0%d0%bd%d1%86/
https://uynaa.wordpress.com/2013/02/01/%d1%83%d0%bb%d0%b7-%d0%bd%d1%83%d1%82%d0%b3%d0%b8%d0%b9%d0%bd-%d0%bf%d0%b8%d1%84%d0%b0%d0%b3%d0%be%d1%80/
https://uynaa.wordpress.com/2013/01/21/%d1%82%d0%b5%d0%bb%d0%b5%d0%b2%d0%b8%d0%b7%d0%b8%d0%b9%d0%bd-%d1%82%d2%af%d2%af%d1%85%d1%8d%d0%bd-%d0%b4%d1%8d%d1%85-%d1%85%d0%b0%d0%bc%d0%b3%d0%b8%d0%b9%d0%bd-%d0%b3%d0%b0%d0%b6%d0%b8%d0%b3-%d1%88/
https://uynaa.wordpress.com/2013/01/18/%d0%b0%d0%bf%d0%be%d1%84%d0%b8%d1%81-%d0%be%d0%be%d1%81-%d2%af%d2%af%d0%b4%d1%8d%d0%bd-%d3%a9%d1%80%d0%bd%d3%a9%d1%85-%d0%b6%d2%af%d0%b6%d0%b8%d0%b3/
https://uynaa.wordpress.com/2013/01/17/%d0%b0%d1%80%d0%b8%d1%83%d0%bd%d1%82%d0%bd%d1%8b-%d0%bd%d1%83%d1%82%d0%b0%d0%b3-%d0%b8%d0%b9%d0%b3-%d1%8d%d0%b7%d1%8d%d0%b3%d0%bd%d1%8d%d1%85-%d1%85%d0%b0%d0%bd/
https://uynaa.wordpress.com/2013/01/15/%d1%81%d0%b0%d1%83%d0%b4%d1%8b%d0%bd-%d1%82%d0%b0%d0%b3%d0%bd%d1%83%d1%83%d0%bb%d1%87%d0%b8%d0%b4-%d0%b0%d1%81%d0%b0%d0%b4%d1%8b%d0%b3-%d0%be%d0%bb%d0%b6%d1%8d%d1%8d/
https://uynaa.wordpress.com/2013/01/15/%d0%bc%d0%b0%d0%bb%d0%b8%d0%b3%d1%8d%d1%8d%d1%81-%d1%81%d0%be%d0%bc%d0%b0%d0%bb%d0%b8-%d1%85%d2%af%d1%80%d1%82%d1%8d%d0%bb/
https://uynaa.wordpress.com/2013/01/10/%d1%85%d0%be%d1%80%d0%b2%d0%be%d0%be-%d0%b5%d1%80%d1%82%d3%a9%d0%bd%d1%86-%d1%85%d0%b0%d0%bb%d0%b0%d0%b0%d1%81%d0%b0%d0%bd%d0%b4-%d0%b1%d0%b0%d0%b3%d1%82%d0%b0%d0%bd%d0%b0/
https://uynaa.wordpress.com/2013/01/10/%d1%82%d0%b0%d0%bd%d0%b3%d0%b0%d1%80%d0%b0%d0%b3-%d3%a9%d1%80%d0%b3%d3%a9%d1%85-%d1%91%d1%81%d0%bb%d0%be%d0%bb-%d1%85%d2%af%d0%bb%d1%8d%d1%8d%d0%b6-%d0%b1%d0%b0%d0%b9%d0%b3-%d1%8d%d1%8d/
https://uynaa.wordpress.com/2013/01/09/%d0%b1%d0%be%d0%bb%d0%bb%d0%b8%d0%b2%d1%83%d0%b4%d1%8b%d0%bd-%d0%ba%d0%b8%d0%bd%d0%be%d0%bd%d0%be%d0%be%d1%81-%d1%87-%d0%b0%d0%b9%d0%bc%d0%b0%d0%b0%d1%80/
https://uynaa.wordpress.com/2013/01/08/%d0%bf%d0%b5%d0%bd%d1%82%d0%b0%d0%b3%d0%be%d0%bd-%d0%b1%d0%be%d0%bb%d0%be%d0%bd-%d1%82%d1%82%d0%b3-%d1%8b%d0%b3-%d1%83%d0%b4%d0%b8%d1%80%d0%b4%d0%b0%d1%85-%d0%bc%d0%b0%d0%b3%d0%b0%d0%b4%d0%bb%d0%b0/
https://uynaa.wordpress.com/2013/01/07/%d0%b7%d0%b8%d0%b0%d0%b4-%d1%82%d0%b0%d0%ba%d0%b8%d0%b5%d0%b4%d0%b4%d0%b8%d0%bd/
...and so on.
EDIT: To filter the links only to specified category, you can use this script:
import json
import requests
from bs4 import BeautifulSoup
data = {'action': 'infinite_scroll', 'page': 1}
api_url = 'https://uynaa.wordpress.com/?infinity=scrolling'
all_links = []
page = 1
while True:
data['page'] = page
data = requests.post(api_url, data=data).json()
# uncomment next line to print all data:
# print(json.dumps(data, indent=4))
soup = BeautifulSoup(data['html'], 'html.parser')
for p in soup.select('.post'):
if any('%d0%be%d1%80%d1%87%d1%83%d1%83%d0%bb%d0%b3%d1%8b%d0%bd-%d0%bd%d0%b8%d0%b9%d1%82%d0%bb%d1%8d%d0%bb' in cat['href'] for cat in p.select('[rel="category tag"]')):
if p.h2.a['href'] not in all_links:
print(p.h2.a['href'])
all_links.append(p.h2.a['href'])
if data['lastbatch']:
break
page += 1
print(len(all_links))
Prints 135 links:
...
https://uynaa.wordpress.com/2011/05/13/%e2%80%9c%d1%83%d1%85%d0%b0%d0%b0%d0%bd-%d0%bc%d1%83%d1%83%d1%82%d0%bd%d1%83%d1%83%d0%b4%d1%8b%d0%bd-%d2%af%d0%b5%e2%80%9d/
https://uynaa.wordpress.com/2011/05/04/%d2%af%d1%85%d0%bb%d0%b8%d0%b9%d0%bd-%d1%82%d0%be%d0%b3%d0%bb%d0%be%d0%be%d0%bc/
https://uynaa.wordpress.com/2011/05/04/%d0%be%d1%81%d0%b0%d0%bc%d0%b0-%d0%b1%d0%b8%d0%bd-%d0%bb%d0%b0%d0%b4%d0%b5%d0%bd%d0%b8%d0%b9%d0%b3-%d1%8f%d0%b0%d0%b6-%d0%b8%d0%bb%d1%80%d2%af%d2%af%d0%bb%d1%81%d1%8d%d0%bd-%d0%b1%d1%8d/
135

Not sure why your codes don't work. For me, I used the below codes to get all the links first.
list_href = []
a_tags = soup.find_all('a')
for tag in a_tags:
list_href.append(tag.get('href'))
The links of the articles are in list_href[5:26].

BeautifulSoup: Reading Span Class Elements

I am having some issues web scraping information from a particular pages span class element, using the beautifulsoup and requests addon in python. It keeps returning me blank information: " ". Heres my code:
headers = {'User-Agent':'Mozilla/5.0'}
res = requests.get('https://www.theweathernetwork.com/ca/weather/ontario/toronto')
res.raise_for_status()
soup = bs4.BeautifulSoup(res.text, 'html.parser')
weather_elem = soup.find('span', {'class':'wxcondition'})
weather = weather_elem
print(weather)
return weather`

The data is loaded through JavaScript so BeautifulSoup doesn't see anything. But you can simulate the Ajax with the requests module:
import json
import requests
from bs4 import BeautifulSoup
url = 'https://www.theweathernetwork.com/ca/weather/ontario/toronto'
soup = BeautifulSoup(requests.get(url).content, 'html.parser')
place_code = soup.select_one('link[rel="alternate"]')['href'].split('=')[-1].lower()
ajax_url = 'https://weatherapi.pelmorex.com/api/v1/observation/placecode/' + place_code
data = requests.get(ajax_url).json()
# uncomment to print all data:
# print(json.dumps(data, indent=4))
print(data['observation']['weatherCode']['text'])
Prints:
Partly cloudy

How to extract href links from anchor tags using BeautifulSoup?

I've been trying to extract just the links corresponding to the jobs on each page. But for some reason they dont print when I execute the script. No errors occur.
for the inputs I put engineering, toronto respectively. Here is my code.
import requests
from bs4 import BeautifulSoup
import webbrowser
jobsearch = input("What type of job?: ")
location = input("What is your location: ")
url = ("https://ca.indeed.com/jobs?q=" + jobsearch + "&l=" + location)
r = requests.get(url)
rcontent = r.content
prettify = BeautifulSoup(rcontent, "html.parser")
all_job_url = []
for tag in prettify.find_all('div', {'data-tn-element':"jobTitle"}):
for links in tag.find_all('a'):
print (links['href'])

You should be looking for the anchor a tag. It looks like this:
<a class="turnstileLink" data-tn-element="jobTitle" href="/rc/clk?jk=3611ac98c0167102&fccid=459dce363200e1be" ...>Project <b>Engineer</b></a>
Call soup.find_all and iterate over the result set, extracting the links through the href attribute.
import requests
from bs4 import BeautifulSoup
# valid query, replace with something else
url = "https://ca.indeed.com/jobs?q=engineer&l=Calgary%2C+AB"
r = requests.get(url)
soup = BeautifulSoup(r.content, "html.parser")
all_job_url = []
for tag in soup.find_all('a', {'data-tn-element':"jobTitle"}):
all_job_url.append(tag['href'])

how do I create a list from a sitemap.xml file to extract the url in python?

I need to create a code to extract a word from one scrape of images.
I'll explain, from a page sitemap.xml ,my code must try in every link present in this xml file, found insiede each link if there a specific word, inside an image link.
the sitemap is adidas = http://www.adidas.it/on/demandware.static/-/Sites-adidas-IT-Library/it_IT/v/sitemap/product/adidas-IT-it-it-product.xml
this is the code i created for search the image contains the word "ZOOM" :
import requests
from bs4 import BeautifulSoup
html = requests.get(
'http://www.adidas.it/scarpe-superstar/C77124.html').text
bs = BeautifulSoup(html)
possible_links = bs.find_all('img')
for link in possible_links:
if link.has_attr('src'):
if link.has_key('src'):
if 'zoom' in link['src']:
print link['src']
but im search a metod to scrape a list in automatic
thankyou so much
i try to do this for have list :
from bs4 import BeautifulSoup
import requests
url = "http://www.adidas.it/on/demandware.static/-/Sites-adidas-IT-Library/it_IT/v/sitemap/product/adidas-IT-it-it-product.xml"
r = requests.get(url)
data = r.text
soup = BeautifulSoup(data)
for url in soup.findAll("loc"):
print url.text
but i cant to attach request..
i can find the word "Zoom" in any link present in sitemap.xml
thankyou so much

import requests
from bs4 import BeautifulSoup
import re
def make_soup(url):
r = requests.get(url)
soup = BeautifulSoup(r.text, 'lxml')
return soup
# put urls in a list
def get_xml_urls(soup):
urls = [loc.string for loc in soup.find_all('loc')]
return urls
# get the img urls
def get_src_contain_str(soup, string):
srcs = [img['src']for img in soup.find_all('img', src=re.compile(string))]
return srcs
if __name__ == '__main__':
xml = 'http://www.adidas.it/on/demandware.static/-/Sites-adidas-IT-Library/it_IT/v/sitemap/product/adidas-IT-it-it-product.xml'
soup = make_soup(xml)
urls = get_xml_urls(soup)
# loop through the urls
for url in urls:
url_soup = make_soup(url)
srcs = get_src_contain_str(url_soup, 'zoom')
print(srcs)

Web crawler - following links

Please bear with me. I am quite new at Python - but having a lot of fun. I am trying to code a web crawler that crawls through election results from the last referendum in Denmark. I have managed to extract all the relevant links from the main page. And now I want Python to follow each of the 92 links and gather 9 pieces of information from each of those pages. But I am so stuck. Hope you can give me a hint.
Here is my code:
import requests
import urllib2
from bs4 import BeautifulSoup
# This is the original url http://www.kmdvalg.dk/
soup = BeautifulSoup(urllib2.urlopen('http://www.kmdvalg.dk/').read())
my_list = []
all_links = soup.find_all("a")
for link in all_links:
link2 = link["href"]
my_list.append(link2)
for i in my_list[1:93]:
print i
# The output shows all the links that I would like to follow and gather information from. How do I do that?

Here is my solution using lxml. It's similar to BeautifulSoup
import lxml
from lxml import html
import requests
page = requests.get('http://www.kmdvalg.dk/main')
tree = html.fromstring(page.content)
my_list = tree.xpath('//div[#class="LetterGroup"]//a/#href') # grab all link
print 'Length of all links = ', len(my_list)
my_list is a list consist of all links. And now you can use for loop to scrape information inside each page.
We can for loop through each links. Inside each page, you can extract information as example. This is only for the top table.
table_information = []
for t in my_list:
page_detail = requests.get(t)
tree = html.fromstring(page_detail.content)
table_key = tree.xpath('//td[#class="statusHeader"]/text()')
table_value = tree.xpath('//td[#class="statusText"]/text()') + tree.xpath('//td[#class="statusText"]/a/text()')
table_information.append(zip([t]*len(table_key), table_key, table_value))
For table below the page,
table_information_below = []
for t in my_list:
page_detail = requests.get(t)
tree = html.fromstring(page_detail.content)
l1 = tree.xpath('//tr[#class="tableRowPrimary"]/td[#class="StemmerNu"]/text()')
l2 = tree.xpath('//tr[#class="tableRowSecondary"]/td[#class="StemmerNu"]/text()')
table_information_below.append([t]+l1+l2)
Hope this help!

A simple approach would be to iterate through your list of urls and parse them each individually:
for url in my_list:
soup = BeautifulSoup(urllib2.urlopen(url).read())
# then parse each page individually here
Alternatively, you could speed things up significantly using Futures.
from requests_futures.sessions import FuturesSession
def my_parse_function(html):
"""Use this function to parse each page"""
soup = BeautifulSoup(html)
all_paragraphs = soup.find_all('p')
return all_paragraphs
session = FuturesSession(max_workers=5)
futures = [session.get(url) for url in my_list]
page_results = [my_parse_function(future.result()) for future in results]

This would be my solution for your problem
import requests
from bs4 import BeautifulSoup
def spider():
url = "http://www.kmdvalg.dk/main"
source_code = requests.get(url)
plain_text = source_code.text
soup = BeautifulSoup(plain_text, 'html.parser')
for link in soup.findAll('div', {'class': 'LetterGroup'}):
anc = link.find('a')
href = anc.get('href')
print(anc.getText())
print(href)
# spider2(href) call a second function from here that is similar to this one(making url = to herf)
spider2(href)
print("\n")
def spider2(linktofollow):
url = linktofollow
source_code = requests.get(url)
plain_text = source_code.text
soup = BeautifulSoup(plain_text, 'html.parser')
for link in soup.findAll('tr', {'class': 'tableRowPrimary'}):
anc = link.find('td')
print(anc.getText())
print("\n")
spider()
its not done... i only get a simple element from the table but you get the idea and how its supposed to work.

Here is my final code that works smooth. Please let me know if I could have done it smarter!
import urllib2
from bs4 import BeautifulSoup
import codecs
f = codecs.open("eu2015valg.txt", "w", encoding="iso-8859-1")
soup = BeautifulSoup(urllib2.urlopen('http://www.kmdvalg.dk/').read())
liste = []
alle_links = soup.find_all("a")
for link in alle_links:
link2 = link["href"]
liste.append(link2)
for url in liste[1:93]:
soup = BeautifulSoup(urllib2.urlopen(url).read().decode('iso-8859-1'))
tds = soup.findAll('td')
stemmernu = soup.findAll('td', class_='StemmerNu')
print >> f, tds[5].string,";",tds[12].string,";",tds[14].string,";",tds[16].string,";", stemmernu[0].string,";",stemmernu[1].string,";",stemmernu[2].string,";",stemmernu[3].string,";",stemmernu[6].string,";",stemmernu[8].string,";",'\r\n'
f.close()