Am I able to run a while loop and add to the index below to gather all odd number indexes on the page?
Basically, I want to skip all the even indexes and print the odd indexes without writing
the same line in asterisks below over and over like [1],[3],[5], etc.
Is there a way to write a while loop and add to the index number?
Thanks!!
'''
import bs4
from bs4 import BeautifulSoup
import requests
import lxml
vegas_insider = requests.get('https://www.vegasinsider.com/nfl/matchups/', 'r').text
soup = BeautifulSoup(vegas_insider, 'lxml')
**team =soup.find_all('a', class_ = 'tableText')[1].text**
print(team)
'''
teams = [team.text for team in soup.find_all('a', class_ = 'tableText')[1::2]]
Or to print,
for team in soup.find_all('a', class_ = 'tableText')[1::2]:
print(team)
Related
I am trying to write a script that can retrieve album title and band name from a music store newsletter. The band name and album title are hidden in a h3 & h4 class. When executing the script I get a blank output in the csv file.
`
from bs4 import BeautifulSoup
import requests
import pandas as pd
# Use the requests library to fetch the HTML content of the page
url = "https://www.musicmaniarecords.be/_sys/newsl_view?n=260&sub=Tmpw6Rij5D"
response = requests.get(url)
# Use the BeautifulSoup library to parse the HTML content
soup = BeautifulSoup(response.text, 'html.parser')
# Find all 'a' elements with the class 'row'
albums = soup.find_all('a', attrs={'class': 'row'})
# Iterate over the found elements and extract the album title and band name
album_title = []
band_name = []
for album in albums:
album_title_element = album.find('td', attrs={'td_class': 'h3 class'})
band_name_element = album.find('td', attrs={'td_class': 'h4 class'})
album_title.append(album_title_element.text)
band_name.append(band_name_element.text)
# Use the pandas library to save the extracted data to a CSV file
df = pd.DataFrame({'album_title': album_title, 'band_name': band_name})
df.to_csv('music_records.csv')
I think the error is in the attrs part, not sure how to fix it properly. Thanks in advance!
Looking at your code I agree that the error lies in the attrs part. The problem you are facing is that the site you are trying to scrape does not contain 'a' elements with the 'row' class. Thus find_all returns an empty list. There are plenty of 'div' elements with the 'row' class, maybe you meant to look for those?
You had the right idea by looking for 'td' elements and extracting their 'h3' and 'h4' elements, but since albums is an empty list, there are no elements to find.
I changed your code slightly to look for 'td' elements directly and extract their 'h3' and 'h4' elements. With these small changes your code found 29 albums.
from bs4 import BeautifulSoup
import requests
import pandas as pd
# Use the requests library to fetch the HTML content of the page
url = "https://www.musicmaniarecords.be/_sys/newsl_view?n=260&sub=Tmpw6Rij5D"
response = requests.get(url)
# Use the BeautifulSoup library to parse the HTML content
soup = BeautifulSoup(response.text, 'html.parser')
# Find all 'a' elements with the class 'row'
albums = soup.find_all('td', attrs={'class': 'block__cell'} )
# Iterate over the found elements and extract the album title and band name
album_title = []
band_name = []
for i, album in enumerate(albums):
album_title_element = album.find('h3')
band_name_element = album.find('h4')
album_title.append(album_title_element.text)
band_name.append(band_name_element.text)
# Use the pandas library to save the extracted data to a CSV file
df = pd.DataFrame({'album_title': album_title, 'band_name': band_name})
df.to_csv('music_records.csv', index=False)
I also took the liberty of adding index=False to the last line of your code. This makes it so each row doesn't start with a ,.
Hope this helps.
from bs4 import BeautifulSoup
import requests
import pandas as pd
# Use the requests library to fetch the HTML content of the page
url = "https://www.musicmaniarecords.be/_sys/newsl_view?n=260&sub=Tmpw6Rij5D"
response = requests.get(url)
# Use the BeautifulSoup library to parse the HTML content
soup = BeautifulSoup(response.text, 'html.parser')
# Find all 'a' elements with the class 'row'
albums = soup.find_all('td', attrs={'class': 'block__cell'})
# Iterate over the found elements and extract the album title and band name
album_title = []
band_name = []
for album in albums:
album_title_element = album.find('h3', attrs={'class': 'header'})
band_name_element = album.find('h4', attrs={'class': 'header'})
album_title.append(album_title_element.text)
band_name.append(band_name_element.text)
# Use the pandas library to save the extracted data to a CSV file
df = pd.DataFrame({'album_title': album_title, 'band_name': band_name})
df.to_csv('music_records.csv')
Thanks to the anonymous hero for helping out!
I want it to print every site that isnt blacklisted(how the code looks so far) but it doesnt work
if you change the string in the last if statement from pass to print(site) then it prints everything in the black list, yet it wont print everything that isnt blacklisted which is my goal
import requests
from bs4 import BeautifulSoup
from lxml import html, etree
import sys
import re
import fnmatch
url = ("http://stackoverflow.com")
blacklist = ['*stackoverflow.com*', '*stackexchange.com*']
r = requests.get(url, timeout=6, verify=True)
soup = BeautifulSoup(r.content, 'html.parser')
for link in soup.select('a[href*="http"]'):
site = (link.get('href'))
site = str(site)
for filtering in blacklist:
if fnmatch.fnmatch(site, filtering):
pass
else:
print(site)
You want something like:
import requests
from bs4 import BeautifulSoup
from lxml import html, etree
import sys
import re
import fnmatch
url = ("http://stackoverflow.com")
blacklist = ['*stackoverflow.com*', '*stackexchange.com*']
r = requests.get(url, timeout=6, verify=True)
soup = BeautifulSoup(r.content, 'html.parser')
for link in soup.select('a[href*="http"]'):
site = (link.get('href'))
site = str(site)
if any([fnmatch.fnmatch(site, filtering) for filtering in blacklist]):
continue
print(site)
The issue happens here (old code):
for filtering in blacklist:
if fnmatch.fnmatch(site, filtering):
pass
else:
print(site)
While you're iterating here, if the website is blacklisted it will match one condition but not the other, so it will always be printed.
There are multiple solutions, mine was to use any() to check if the result is True at least once and if it is, continue the loop and don't print :D
recently started getting into web scraping and i have managed ok but now im stuck and i cant find the answer or figure it out.
Here is my code for scraping and exporting info from a single page
import requests
page = requests.get("https://www.example.com/page.aspx?sign=1")
from bs4 import BeautifulSoup
soup = BeautifulSoup(page.content, 'html.parser')
#finds the right heading to grab
box = soup.find('h1').text
heading = box.split()[0]
#finds the right paragraph to grab
reading = soup.find_all('p')[0].text
print (heading, reading)
import csv
from datetime import datetime
# open a csv file with append, so old data will not be erased
with open('index.csv', 'a') as csv_file:
writer = csv.writer(csv_file)
writer.writerow([heading, reading, datetime.now()])
Problem occurs when i try to scrape multiple pages at the same time.
They are all the same just pagination changes eg
https://www.example.com/page.aspx?sign=1
https://www.example.com/page.aspx?sign=2
https://www.example.com/page.aspx?sign=3
https://www.example.com/page.aspx?sign=4 etc
Instead of writing the same code 20 times how do i stick all the data in a tuple or an array and export to csv.
Many thanks in advance.
Just try it out with a loop, until you got no page available (request is not OK). Should be easy to get.
import requests
from bs4 import BeautifulSoup
import csv
from datetime import datetime
results = []
page_number = 1
while True:
response = requests.get(f"https://www.example.com/page.aspx?sign={page_number}")
if response.status_code != 200:
break
soup = BeautifulSoup(page.content, 'html.parser')
#finds the right heading to grab
box = soup.find('h1').text
heading = box.split()[0]
#finds the right paragraph to grab
reading = soup.find_all('p')[0].text
# write a list
# results.append([heading, reading, datetime.now()])
# or tuple.. your call
results.append((heading, reading, datetime.now()))
page_number = page_number + 1
with open('index.csv', 'a') as csv_file:
writer = csv.writer(csv_file)
for result in results:
writer.writerow(result)
I Want to remove duplicate titles to be removed from the output, i am using Beautiful soup to scrape the titles.
#!/usr/bin/python
from bs4 import BeautifulSoup
import requests
source = requests.get('https://itrevolution.com/book-downloads-extra-materials/')
source = source.text
soup = BeautifulSoup(source, 'lxml')
for tl in soup.find_all('img', class_='responsive-img hover-img'):
title = set()
title = tl.get('title')
print('{}'.format(title))
Output: Output from the above script..
Accelerate
Team Topologies
Accelerate
Project to Product
War and Peace and IT
A Seat at the Table
The Art of Business Value
DevOps for the Modern Enterprise
Making Work Visible
Leading the Transformation
The DevOps Handbook
The Phoenix Project
Beyond the Phoenix Project
We have title Accelerate which appears twice which needs to be appear one.
You were on the right track, taking advantage of a set() is a great idea. Just create it before the for-loop, and add titles in it using method set.add(). See the following:
from bs4 import BeautifulSoup
import requests
source = requests.get('https://itrevolution.com/book-downloads-extra-materials/')
source = source.text
soup = BeautifulSoup(source, 'lxml')
titles = set()
for tl in soup.find_all('img', class_='responsive-img hover-img'):
title = tl.get('title')
titles.add(title)
print(titles)
If you need a distinct list here is a slight modification to your code:-
from bs4 import BeautifulSoup
import requests
source = requests.get('https://itrevolution.com/book-downloads-extra-materials/')
source = source.text
soup = BeautifulSoup(source, 'lxml')
title = []
for tl in soup.find_all('img', class_='responsive-img hover-img'):
title.append(tl.get('title'))
distinctTitle = (list(set(title)))
I'm performing the same web scraping pattern that I just learned from post , however, I'm unable to scrap the using below script. I keep getting an empty return and I know the tags are there. I want to find_all "mubox" then pulls values for O/U and goalie information. This so weird, what am I missing?
from bs4 import BeautifulSoup
import requests
import pandas as pd
page_link = 'https://www.thespread.com/nhl-scores-matchups'
page_response = requests.get(page_link, timeout=10)
# here, we fetch the content from the url, using the requests library
page_content = BeautifulSoup(page_response.content, "html.parser")
# Take out the <div> of name and get its value
tables = page_content.find_all("div", class_="mubox")
print (tables)
# Iterate through rows
rows = []
This site uses an internal API before rendering the data. This api is an xml file, you can get here which contains all the match information. You can parse it using beautiful soup :
from bs4 import BeautifulSoup
import requests
page_link = 'https://www.thespread.com/matchups/NHL/matchup-list_20181030.xml'
page_response = requests.get(page_link, timeout=10)
body = BeautifulSoup(page_response.content, "lxml")
data = [
(
t.find("road").text,
t.find("roadgoalie").text,
t.find("home").text,
t.find("homegoalie").text,
float(t.find("ot").text),
float(t.find("otmoney").text),
float(t.find("ft").text),
float(t.find("ftmoney").text)
)
for t in body.find_all('event')
]
print(data)