Develop Reference

Python web scraping script does not find element by css selector

I'm trying to get this web scraper to get current electricity price from this website, it's in finnish but it's right under "Hinta nyt". https://sahko.tk/
Here's my code:
import requests
from bs4 import BeautifulSoup
url = "https://sahko.tk/"
element_selector = ""
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
elements = soup.find_all(element_selector)
if len(elements) == 0:
print("No element found with selector '%s'" % element_selector)
else:
element_text = elements[0].text
print(element_text)
I left the element_selector to empty because what ever I tried it just did not work. I'm not even sure if I'm on the right tracks.

The data you see is embedded inside <script> in that page. To parse the current price you can use next example:
import re
import json
import requests
url = "https://sahko.tk/"
data = requests.get(url).text
data = re.search(r"function prices_today\(\)\{var t= (.*?});", data).group(1)
data = json.loads(data)
print("Hinta nyt", data["now"], "snt/kWh")
Prints:
Hinta nyt 33.27 snt/kWh

Trying to get a value from a html code by using beautiful soap but have hard time to get it

Trying to find the value shown in the picture below from the website https://www.coop.se/butiker-erbjudanden/coop/coop-ladugardsangen-/ with help of beautiful soap code. But the only value I get is the price number and not the "st" value.
Here is the code I try to use to get it...
CODE
test = product.find('span', class_='Splash-content ')
print(Price.text)

import requests
from bs4 import BeautifulSoup as bsoup
site_source = requests.get("https://www.coop.se/butiker-erbjudanden/coop/coop-ladugardsangen-/").content
soup = bsoup(site_source, "html.parser")
all_items = soup.find("div", class_="Section Section--margin")
item_list = soup.find_all("span", class_="Splash-content")
for item in item_list:
print("Price: ",item.find("span", class_="Splash-priceLarge").text)
if item.find("span", class_="Splash-priceSub Splash-priceUnitNoDecimal"):
print("Unit: ",item.find("span", class_="Splash-priceSub Splash-priceUnitNoDecimal").text)
In some cases the unit is missing so we want to make sure we handle for that.
My understanding is that you basically want to print the price and unit of each item so that is what i attempt to do.

try with :
url = "https://www.coop.se/butiker-erbjudanden/coop/coop-ladugardsangen-/"
try:
page = urllib.request.urlopen(url, timeout=20)
except HTTPError as e:
page = e.read()
soup = BeautifulSoup(page, 'html.parser')
body = soup.find('body')
result = body.find("span", class_="Splash-content")
print(result.get_text())
for me it worked !

scraping links from wikipedia

So i am trying to scrape links from a random wikipedia page here is my code thus far:
from bs4 import BeautifulSoup
import requests
import pandas as pd
import urllib2
# function get random page
def get_random():
import requests
# r = requests.get('https://en.wikipedia.org/wiki/Special:Random')
r = requests.get('https://en.wikipedia.org/wiki/Carole_Ann')
return r.url
#========================
#finding the valid link
def validlink(href):
if href:
if re.compile('^/wiki/').search(href):
if not re.compile('/\w+:').search(href):
return True
return False
#validlink()===========
#the first site
a1 = get_random()
#print("the first site is: " + a1)
# the first site end()====
#looking for the article name:
blin = requests.get(a1)
soup = BeautifulSoup(blin.text, 'html.parser')
title = soup.find('h1', {'class' : 'firstHeading'})
print("starting website: " + a1 + " Titled: " + title.text)
print("")
#=============================
#first article done
#find body:
import re
body = requests.get(a1).text
soup = BeautifulSoup(body, 'lxml')
for link in soup.findAll("a"):
url = link.get("href", "")
print(
#======================
i know i'm doing this last part wrong. Im new to python so i just have no idea how to go about this part, what i need is to pull all of the links from a random site that the random page takes me to, then i pull the link and title off of that site,
then i need to pull the wikipedia links off of that page which is what i am looking to do in that last bit of code there heres another snip:
and at this point i want to print all of the links that it finds after they have been tested against my valid links function at the top:
again forgive me for being new and not understanding at this. But please help i cannot figure this out.
so the question that i have is: i need to create a snippet of code that will pull out all of the website links off of the wikipedia page (which note i still dont know how to do the for loop was my best guess based on my own research) then i need to test the links that i pulled against my validlink function, and print out all of the valid links.

If you whan it as list then create new list and append() url if it is valid.
Because the same url can be many times on page so I also check if url is already on list.
valid_urls = []
for link in soup.find_all('a'): # find_all('a', {'href': True}):
url = link.get('href', '')
if url not in valid_urls and validlink(url):
valid_urls.append(url)
print(valid_urls)
from bs4 import BeautifulSoup
import requests
import re
# --- functions ---
def is_valid(url):
"""finding the valid link"""
if url:
if url.startswith('/wiki/'): # you don't need `re` to check it
if not re.compile('/\w+:').search(url):
return True
return False
# --- main ---
#random_url = 'https://en.wikipedia.org/wiki/Special:Random'
random_url = 'https://en.wikipedia.org/wiki/Carole_Ann'
r = requests.get(random_url)
print('url:', r.url)
soup = BeautifulSoup(r.text, 'html.parser')
title = soup.find('h1', {'class': 'firstHeading'})
print('starting website:', r.url)
print('titled:', title.text)
print()
valid_urls = []
for link in soup.find_all('a'): # find_all('a', {'href': True}):
url = link.get('href', '')
if url not in valid_urls and is_valid(url):
valid_urls.append(url)
#print(valid_urls)
#for url in valid_urls:
# print(url)
print('\n'.join(valid_urls))

How do I simultaneously scrape two pages and produce two distinct lists within one nested 'for-loop'?

I'm scraping from two URLs that have the same DOM structure, and so I'm trying to find a way to scrape both of them at the same time.
The only caveat is that the data scraped from both these pages need to end up on distinctly named lists.
To explain with example, here is what I've tried:
import os
import requests
from bs4 import BeautifulSoup as bs
urls = ['https://www.basketball-reference.com/leaders/ws_career.html',
'https://www.basketball-reference.com/leaders/ws_per_48_career.html',]
ws_list = []
ws48_list = []
categories = [ws_list, ws48_list]
for url in urls:
response = requests.get(url, headers=headers)
soup = bs(response.content, 'html.parser')
section = soup.find('table', class_='stats_table')
for a in section.find_all('a'):
player_name = a.text
for cat_list in categories:
cat_list.append(player_name)
print(ws48_list)
print(ws_list)
This ends up printing two identical lists when I was shooting for 2 lists unique to its page.
How do I accomplish this? Would it be better practice to code it another way?

Instead of trying to append to already existing lists. Just create new ones. Make a function to do the scrape and pass each url in turn to it.
import os
import requests
from bs4 import BeautifulSoup as bs
urls = ['https://www.basketball-reference.com/leaders/ws_career.html',
'https://www.basketball-reference.com/leaders/ws_per_48_career.html',]
def parse_page(url, headers={}):
response = requests.get(url, headers=headers)
soup = bs(response.content, 'html.parser')
section = soup.find('table', class_='stats_table')
return [a.text for a in section.find_all('a')]
ws_list, ws48_list = [parse_page(url) for url in urls]
print('ws_list = %r' % ws_list)
print('ws8_list = %r' % ws48_list)

Just add them to the appropriate list and the problem is solved?
for i, url in enumerate(urls):
response = requests.get(url)
soup = bs(response.content, 'html.parser')
section = soup.find('table', class_='stats_table')
for a in section.find_all('a'):
player_name = a.text
categories[i].append(player_name)
print(ws48_list)
print(ws_list)

You can use a function to define your scraping logic, then just call it for your urls.
import os
import requests
from bs4 import BeautifulSoup as bs
def scrape(url):
response = requests.get(url)
soup = bs(response.content, 'html.parser')
section = soup.find('table', class_='stats_table')
names = []
for a in section.find_all('a'):
player_name = a.text
names.append(player_name)
return names
ws_list = scrape('https://www.basketball-reference.com/leaders/ws_career.html')
ws48_list = scrape('https://www.basketball-reference.com/leaders/ws_per_48_career.html')
print(ws_list)
print(ws48_list)

Python /bs4: trying to print temperature/city from a local website

I'm trying to get and print the current weather temperature and city name from a local website, but no success.
All I need it to read and print the city (Lodrina), the Temperature (23.1C) and if possible the title in ca-cond-firs ("Temperatura em declínio") - this last one changes as temps goes up or down...
This is the html section of the site:
THIS IS THE HTML (the part of matters:)
#<div class="ca-cidade">Londrina</div>
<ul class="ca-condicoes">
<li class="ca-cond-firs"><img src="/site/imagens/icones_condicoes/temperatura/temp_baixa.png" title="Temperatura em declínio"/><br/>23.1°C</li>
<li class="ca-cond"><img src="/site/imagens/icones_condicoes/vento/L.png"/><br/>10 km/h</li>
<li class="ca-cond"><div class="ur">UR</div><br/>54%</li>
<li class="ca-cond"><img src="/site/imagens/icones_condicoes/chuva.png"/><br/>0.0 mm</li>
THIS IS THE CODE I DID SO FAR:
from bs4 import BeautifulSoup
import requests
URL = 'http://www.simepar.br/site/index.shtml'
rawhtml = requests.get(URL).text
soup = BeautifulSoup(rawhtml, 'lxml')
id = soup.find('a', 'id=23185109')
print(id)
any help?

from bs4 import BeautifulSoup
import requests
URL = 'http://www.simepar.br/site/index.shtml'
rawhtml = requests.get(URL).text
soup = BeautifulSoup(rawhtml, 'html.parser') # parse page as html
temp_table = soup.find_all('table', {'class':'cidadeTempo'}) # get detail of table with class name cidadeTempo
for entity in temp_table:
city_name = entity.find('h3').text # fetches name of city
city_temp_max = entity.find('span', {'class':'tempMax'}).text # fetches max temperature
city_temp_min = entity.find('span', {'class':'tempMin'}).text # fetches min temperature
print("City :{} \t Max_temp: {} \t Min_temp: {}".format(city_name, city_temp_max, city_temp_min)) # prints content
below code can get details of temprature at right side of page as you require.
result_table = soup.find('div', {'class':'ca-content-wrapper'})
print(result_table.text) # in your case there is no other div exist with class name ca-content-wrapper hence I can use it directly without iterating. you can use if condition to control which city temprature to print and which to not.
# output will be like :
# Apucarana
# 21.5°C
# 4 km/h
# UR60%
# 0.0 mm

I'm not sure what problems you are running into with your code. In my attempts to use your code, I found that I needed to use the html parser to successfully parse the website. I also used soup.findAll() in order to find elements that matched the desired class. Hopefully the below will lead you to your answer:
from bs4 import BeautifulSoup
import requests
URL = 'http://www.simepar.br/site/index.shtml'
rawhtml = requests.get(URL).text
soup = BeautifulSoup(rawhtml, 'html.parser')
rows = soup.findAll('li', {'class', 'ca-cond-firs'})
print rows

You should try out the CSS3 selectors in BS4, I personally find it a lot easier to use than find and find_all.
from bs4 import BeautifulSoup
import requests
URL = 'http://www.simepar.br/site/index.shtml'
rawhtml = requests.get(URL).text
soup = BeautifulSoup(rawhtml, 'lxml')
# soup.select returns the list of all the elements that matches the CSS3 selector
# get the text inside each <a> tag inside div.ca-cidade
cities = [cityTag.text for cityTag in soup.select("div.ca-cidade > a")]
# get the temperature inside each li.ca-cond-firs
temps = [tempTag.text for tempTag in soup.select("li.ca-cond-firs")]
# get the temperature status inside each li.ca-cond-firs > img title attibute
tempStatus = [tag["title"] for tag in soup.select("li.ca-cond-firs > img")]
# len(cities) == len(temps) == len(tempStatus) => This is normally true.
for i in range(len(cities)):
print("City: {}, Temperature: {}, Status: {}.".format(cities[i], temps[i], tempStatus[i]))

Here you go. You can customize that wind thing depending on icon name.
#!/usr/bin/env python
# -*- encoding: utf8 -*-
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
from bs4 import BeautifulSoup
import requests
def get_weather_data():
URL = 'http://www.simepar.br/site/index.shtml'
rawhtml = requests.get(URL).text
soup = BeautifulSoup(rawhtml, 'html.parser')
cities = soup.find('div', {"class":"ca-content-wrapper"})
weather_data = []
for city in cities.findAll("div", {"class":"ca-bg"}):
name = city.find("div", {"class":"ca-cidade"}).text
temp = city.find("li", {"class":"ca-cond-firs"}).text
conditons = city.findAll("li", {"class":"ca-cond"})
weather_data.append({
"city":name,
"temp":temp,
"conditions":[{
"wind":conditons[0].text +" "+what_wind(conditons[0].find("img")["src"]),
"humidity":conditons[1].text,
"raind":conditons[2].text,
}]
})
return weather_data
def what_wind(img):
if img.find ("NE"):
return "From North East"
if img.find ("O"):
return "From West"
if img.find ("N"):
return "From North"
#you can add other icons here
print get_weather_data()
And that is all weather data from that website.