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Problems with getting data from a page using python, beautiful soup

I am trying to explore the web scraping in python.Currently working with beautiful soup.I was trying to get names of the festivals from this site : https://www.skiddle.com/festivals .Everything was going pretty fine, except 1 page, this one: https://www.skiddle.com/festivals/front-end-data-test/. It says 'NoneType' object has no attribute 'find' any way i can get data from there?
Here is the code
import requests
from bs4 import BeautifulSoup
import lxml
import json
headers = {
"user-agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.5060.114 Safari/537.36 OPR/89.0.4447.64"
}
#collect all fests URLs
fests_urls_list = []
#for i in range(0, 120, 24):
for i in range(0, 24, 24):
url = f"https://www.skiddle.com/festivals/search/?ajaxing=1&sort=0&fest_name=&from_date=15%20Aug%202022&to_date=&maxprice=500&o={i}&bannertitle=August"
req = requests.get(url=url, headers=headers)
json_data = json.loads(req.text)
html_response = json_data["html"]
with open(f"data/index_{i}.html", "w", encoding="utf-8") as file:
file.write(html_response)
with open(f"data/index_{i}.html", "r", encoding="utf-8") as file:
src = file.read()
soup = BeautifulSoup(src, "lxml")
cards = soup.find_all("a", class_="card-details-link")
for item in cards:
fest_url = "https://www.skiddle.com" + item.get("href")
fests_urls_list.append(fest_url)
#collect fest info
for url in fests_urls_list:
req = requests.get(url=url, headers=headers)
try:
soup = BeautifulSoup(req.text, "lxml")
fest_name = soup.find("div", class_="MuiContainer-root MuiContainer-maxWidthFalse css-1krljt2").find("h1").text.strip()
fest_data = soup.find("div", class_="MuiGrid-root MuiGrid-item MuiGrid-grid-xs-11 css-twt0ol").text.strip()
print(fest_data)
except Exception as ex :
print(ex)
print("This was not supposed to happen")

How do I get this code to loop for other stocks? For example, I want it to repeat and show stocks like Telsa, Amazon, Apple all in one executution?

How do I get this code to loop for other stocks? For example, I want it to repeat and show stocks like Telsa, Amazon, Apple all in one executution? In my code, it only shows one stock and I want it to display multiple stocks.
Code:
import requests
from bs4 import BeautifulSoup
def create_url():
url = f'https://finance.yahoo.com/quote/TSLA'
return url
def get_html(url):
header = {"User Agent": 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/98.0.4758.102 Safari/537.36'}
response = requests.get(url, headers = header)
if response.status_code == 200:
return response.text
else:
return None
def parse_data(html):
soup = BeautifulSoup(html,'html.parser')
name = soup.find('h1', {'class': 'D(ib) Fz(18px)'}).text
price = soup.select_one('#quote-header-info > div.My(6px).Pos(r).smartphone_Mt(6px).W(100%) > div.D(ib).Va(m).Maw(65%).Ov(h) > div.D(ib).Mend(20px) > fin-streamer.Fw(b).Fz(36px).Mb(-4px).D(ib)').text
stock_data = {
'name':name,
'price':price,
}
return stock_data
def main():
url = create_url()
# get html
html = get_html(url)
data = parse_data(html)
#return data
print(data)
if __name__ == '__main__':
main()

Try changing your create_url to take one parameter, which will be the stock you want to query, like so:
def create_url(ticker):
url = 'https://finance.yahoo.com/quote/' + ticker
return url
Then, you can create a list of tickers in your main function and call the function for each ticker.
def main():
tickers = [“AAPL”, “TSLA”]
for ticker in tickers:
url = create_url(ticker)
# get html
html = get_html(url)
data = parse_data(html)
print(data)

Exception has occurred: TypeError in Python

I am very new to coding so I am sorry this is a dumb question. I keep getting an error every time I try to run this code for a Python scraper. Any help would be great.
Exception has occurred: TypeError
'module' object is not callable
File "C:\Users\quawee\OneDrive\seaporn.org-scraper\seaporn.org-scraper.py", line 33, in <module>
articles = requests(x)
from this code....
import requests
from bs4 import BeautifulSoup
import pandas as pd
import time
articlelist = []
def request(x):
url = f'https://www.seaporn.org/category/hevc/page/{x}/'
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'}
r = requests.get(url, headers=headers)
soup = BeautifulSoup(r.content, features='lxml')
return soup.find_all('article', class_ = 'post-summary')
def parse(articles):
for item in articles:
link = item.find({'a': 'entry-link'})
article = {
'link': link['href']
}
articlelist.append(article)
def output():
df = pd.DataFrame(articlelist)
df.to_excel('articlelist.xlsx', index=False)
print('Saved to xlsx.')
x = 5000
while True:
print(f'Page {x}')
articles = requests(x)
x = x + 1
time.sleep(3)
if len(articles) != 0:
parse(articles)
else:
break
print('Completed, total articles is', len(articlelist))
output()

The name of your defined function is request(x). You are calling requests(x) inside the while loop.
This should work, I just corrected the spelling:
import requests
from bs4 import BeautifulSoup
import pandas as pd
import time
articlelist = []
def request(x):
url = f'https://www.seaporn.org/category/hevc/page/{x}/'
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'}
r = requests.get(url, headers=headers)
soup = BeautifulSoup(r.content, features='lxml')
return soup.find_all('article', class_ = 'post-summary')
def parse(articles):
for item in articles:
link = item.find({'a': 'entry-link'})
article = {
'link': link['href']
}
articlelist.append(article)
def output():
df = pd.DataFrame(articlelist)
df.to_excel('articlelist.xlsx', index=False)
print('Saved to xlsx.')
x = 5000
while True:
print(f'Page {x}')
articles = request(x)
x = x + 1
time.sleep(3)
if len(articles) != 0:
parse(articles)
else:
break
print('Completed, total articles is', len(articlelist))
output()

Unable to scrape the name from the inner page of each result using requests

I've created a script in python making use of post http requests to get the search results from a webpage. To populate the results, it is necessary to click on the fields sequentially shown here. Now a new page will be there and this is how to populate the result.
There are ten results in the first page and the following script can parse the results flawlessly.
What I wish to do now is use the results to reach their inner page in order to parse Sole Proprietorship Name (English) from there.
website address
I've tried so far with:
import re
import requests
from bs4 import BeautifulSoup
url = "https://www.businessregistration.moc.gov.kh/cambodia-master/service/create.html?targetAppCode=cambodia-master&targetRegisterAppCode=cambodia-br-soleproprietorships&service=registerItemSearch"
payload = {
'QueryString': '0',
'SourceAppCode': 'cambodia-br-soleproprietorships',
'OriginalVersionIdentifier': '',
'_CBASYNCUPDATE_': 'true',
'_CBHTMLFRAG_': 'true',
'_CBNAME_': 'buttonPush'
}
with requests.Session() as s:
s.headers['User-Agent'] = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:74.0) Gecko/20100101 Firefox/74.0'
res = s.get(url)
target_url = res.url.split("&")[0].replace("view.", "update.")
node = re.findall(r"nodeW\d.+?-Advanced",res.text)[0].strip()
payload['_VIKEY_'] = re.findall(r"viewInstanceKey:'(.*?)',", res.text)[0].strip()
payload['_CBHTMLFRAGID_'] = re.findall(r"guid:(.*?),", res.text)[0].strip()
payload[node] = 'N'
payload['_CBNODE_'] = re.findall(r"Callback\('(.*?)','buttonPush", res.text)[2]
payload['_CBHTMLFRAGNODEID_'] = re.findall(r"AsyncWrapper(W\d.+?)'",res.text)[0].strip()
res = s.post(target_url,data=payload)
soup = BeautifulSoup(res.content, 'html.parser')
for item in soup.find_all("span", class_="appReceiveFocus")[3:]:
print(item.text)
How can I parse the Name (English) from each of the results inner page using requests?

This is one of the ways you can parse the name from the site's inner page and then email address from the address tab. I added this function .get_email() only because I wanted to let you know as to how you can parse content from different tabs.
import re
import requests
from bs4 import BeautifulSoup
url = "https://www.businessregistration.moc.gov.kh/cambodia-master/service/create.html?targetAppCode=cambodia-master&targetRegisterAppCode=cambodia-br-soleproprietorships&service=registerItemSearch"
result_url = "https://www.businessregistration.moc.gov.kh/cambodia-master/viewInstance/update.html?id={}"
base_url = "https://www.businessregistration.moc.gov.kh/cambodia-br-soleproprietorships/viewInstance/update.html?id={}"
def get_names(s):
s.headers['User-Agent'] = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:74.0) Gecko/20100101 Firefox/74.0'
res = s.get(url)
target_url = result_url.format(res.url.split("id=")[1])
soup = BeautifulSoup(res.text,"lxml")
payload = {i['name']:i.get('value','') for i in soup.select('input[name]')}
payload['QueryString'] = 'a'
payload['SourceAppCode'] = 'cambodia-br-soleproprietorships'
payload['_CBNAME_'] = 'buttonPush'
payload['_CBHTMLFRAG_'] = 'true'
payload['_VIKEY_'] = re.findall(r"viewInstanceKey:'(.*?)',", res.text)[0].strip()
payload['_CBHTMLFRAGID_'] = re.findall(r"guid:(.*?),", res.text)[0].strip()
payload['_CBNODE_'] = re.findall(r"Callback\('(.*?)','buttonPush", res.text)[-1]
payload['_CBHTMLFRAGNODEID_'] = re.findall(r"AsyncWrapper(W\d.+?)'",res.text)[0].strip()
res = s.post(target_url,data=payload)
soup = BeautifulSoup(res.text,"lxml")
payload.pop('_CBHTMLFRAGNODEID_')
payload.pop('_CBHTMLFRAG_')
payload.pop('_CBHTMLFRAGID_')
for item in soup.select("a[class*='ItemBox-resultLeft-viewMenu']"):
payload['_CBNAME_'] = 'invokeMenuCb'
payload['_CBVALUE_'] = ''
payload['_CBNODE_'] = item['id'].replace('node','')
res = s.post(target_url,data=payload)
soup = BeautifulSoup(res.text,'lxml')
address_url = base_url.format(res.url.split("id=")[1])
node_id = re.findall(r"taba(.*)_",soup.select_one("a[aria-label='Addresses']")['id'])[0]
payload['_CBNODE_'] = node_id
payload['_CBHTMLFRAGID_'] = re.findall(r"guid:(.*?),", res.text)[0].strip()
payload['_CBNAME_'] = 'tabSelect'
payload['_CBVALUE_'] = '1'
eng_name = soup.select_one(".appCompanyName + .appAttrValue").get_text()
yield from get_email(s,eng_name,address_url,payload)
def get_email(s,eng_name,url,payload):
res = s.post(url,data=payload)
soup = BeautifulSoup(res.text,'lxml')
email = soup.select_one(".EntityEmailAddresses:contains('Email') .appAttrValue").get_text()
yield eng_name,email
if __name__ == '__main__':
with requests.Session() as s:
for item in get_names(s):
print(item)
Output are like:
('AMY GEMS', 'amy.n.company#gmail.com')
('AHARATHAN LIN LIANJIN FOOD FLAVOR', 'skykoko344#gmail.com')
('AMETHYST DIAMOND KTV', 'twobrotherktv#gmail.com')

To get the Name (English) you can simply replace print(item.text) with print(item.text.split('/')[1].split('(')[0].strip()) which prints AMY GEMS

Problem/Error with scraping in a pandas data frame with beautifulsoup

I'm working on this csv (https://www.kaggle.com/jtrofe/beer-recipes) and I want to scrape every URL in data frame, but I can't because I have a problem/error, I'm not able to scrape all URL, if I try with 1 URL, it's ok and go, but with the function there is a problem... can someone help me?
This is my code:
import requests
from bs4 import BeautifulSoup
from time import sleep
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.108 Safari/537.36'
}
base = 'https://www.brewersfriend.com'
links = [f'{base}{r}' for r in df['URL']]
while True:
try:
r = requests.get(links, headers=headers, stream=False, timeout=8).text
break
except:
if r.status_code == 404:
print("Client error")
r.raise_for_status()
sleep(1)
soup = BeautifulSoup(r, 'html5lib')
rating = soup.find('span', {'itemprop': 'ratingValue'})
DEFAULT_VALUE = 'NaN'
if rating is None:
rating = DEFAULT_VALUE
print(rating.text)
I'm already know that in some page there isn't a rating and so I create the DEFAULT_VALURE with Not a Number, but maybe is an error too.
Before this code there is the data frame, but I don't put it too.
I hope someone can help me!
Thanks so much

All kinds of messy things here. I won;t go over all of it, but one thing I see is you are trying to print (rating.text). If youre rating is 'NaN', one error is that you can't do rating.text
This is not how I would write this up, but going off your initial coding:
import pandas as pd
import requests
from bs4 import BeautifulSoup
from time import sleep
df = pd.read_csv('C:/recipeData/recipeData.csv', encoding = 'ISO-8859-1')
headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.108 Safari/537.36'}
base = 'https://www.brewersfriend.com'
links = [f'{base}{r}' for r in df['URL']]
for link in links:
try:
r = requests.get(link, headers=headers, stream=False, timeout=8)
if r.status_code == 404:
print("Client error")
r.raise_for_status()
continue
else:
r = r.text
except:
continue
soup = BeautifulSoup(r, 'html5lib')
rating = soup.find('span', {'itemprop': 'ratingValue'}).text
DEFAULT_VALUE = 'NaN'
if rating is None:
rating = DEFAULT_VALUE
print('%s: %s' %(link,rating))

Here is a way to do entire process
import requests, re
import pandas as pd
from bs4 import BeautifulSoup as bs
p = re.compile(r'dataviewToken":"(.*?)"')
p1 = re.compile(r'"rowCount":(\d+)')
results = []
i = 0
with requests.Session() as s:
r = s.get('https://www.kaggle.com/jtrofe/beer-recipes')
token = p.findall(r.text)[0]
rows = int(p1.findall(r.text)[0])
data = {"jwe":{"encryptedToken": token},"source":{"type":3,"dataset":{"url":"jtrofe/beer-recipes","tableType":1,"csv":{"fileName":"recipeData.csv","delimiter":",","headerRows":1}}},"select":["BeerID","Name","URL","Style","StyleID","Size(L)","OG","FG","ABV","IBU","Color","BoilSize","BoilTime","BoilGravity","Efficiency","MashThickness","SugarScale","BrewMethod","PitchRate","PrimaryTemp"],"skip":0,"take": rows}
base = 'https://www.brewersfriend.com'
r = s.post('https://www.kaggleusercontent.com/services/datasets/kaggle.dataview.v1.DataViewer/GetDataView', json = data).json()
names, links = zip(*[(row['text'][1], base + row['text'][2]) for row in r['dataView']['rows']])
for link in links:
r = s.get(link, headers = {'User-Agent' : 'Mozilla/5.0'})
if r.status_code == 403:
rating = 'N/A'
else:
soup = bs(r.content, 'lxml')
rating = soup.select_one('[itemprop=ratingValue]')
if rating is None:
rating = 'N/A'
else:
rating = rating.text
row = [names[i], rating]
results.append(row)
i+=1
df = pd.DataFrame(results, columns = ['Name', 'Rating'])
print(df.head())
df.to_csv(r'C:\Users\User\Desktop\Data.csv', sep=',', encoding='utf-8-sig',index = False )