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Web scraping by BeautifulSoup in Python

I tried to retrieve table data through the link below by python, unfortunately they brought all the html tags but haven't brought the table. Could you do me a favor and help me.
https://www150.statcan.gc.ca/n1/pub/71-607-x/2021004/exp-eng.htm?r1=(1)&r2=0&r3=0&r4=12&r5=0&r7=0&r8=2022-02-01&r9=2022-02-01
my code:
import requests
from bs4 import BeautifulSoup
url = 'https://www150.statcan.gc.ca/n1/pub/71-607-x/2021004/exp-eng.htm?r1=(1)&r2=0&r3=0&r4=12&r5=0&r7=0&r8=2022-02-01&r9=2022-02-01'
r = requests.get(url)
soup = BeautifulSoup(r.text, 'html.parser')
print(soup)

Beautiful Soup can't find most of the tags

I am trying to scrape this page https://ntrs.nasa.gov/search .
I am using the code below and Beautiful soup is finding only 3 tags when there are many more. I have tried using html5lib, lxml and HTML parsers but none of them have worked.
Can you advise what might be the problem please?
import requests
import urllib.request
import time
from bs4 import BeautifulSoup
# Set the URL
url = 'https://ntrs.nasa.gov/search'
# Connect to the URL
response = requests.get(url)
# Parse HTML and save to a BeautifulSoup object¶
soup = BeautifulSoup(response.content, "html5lib")
# soup = BeautifulSoup(response.text, "html5lib")
# soup = BeautifulSoup(response.content, "html.parser")
# soup = BeautifulSoup(response.content, "lxml")
# loop through all a-tags
for a_tag in soup.findAll('a'):
if 'title' in a_tag:
if a_tag['title'] == 'Download Document':
link = a_tag['href']
download_url = 'https://ntrs.nasa.gov' + link
urllib.request.urlretrieve(download_url,'./'+link[link.find('/citations/')+1:11])

It is dynamically pulled from a script tag. You can regex out the JavaScript object which contains the download url, handle some string replacements for html entities, parse as json then extract the desired url:
import requests, re, json
r = requests.get('https://ntrs.nasa.gov/search')
data = json.loads(re.search(r'(\{.*/api.*\})', r.text).group(1).replace('&q;','"'))
print('https://ntrs.nasa.gov' + data['http://ntrs-proxy-auto-deploy:3001/citations/search']['results'][0]['downloads'][0]['links']['pdf'])
You could append the ?attachment=true but I don't think that is required.

Your problem stems from the fact that the page is rendered using Javascipt, and the actual page source is only a few script and style tags.

Web scraping several a href

I would like to scrape this page with Python: https://statusinvest.com.br/acoes/proventos/ibovespa.
With this code:
import requests
from bs4 import BeautifulSoup as bs
URL = "https://statusinvest.com.br/acoes/proventos/ibovespa"
page = 1
req = requests.get(URL+str(page))
soup = bs(req.text, 'html.parser')
container = soup.find('div', attrs={'class','list'})
dividends = container.find('a')
for dividend in dividends:
links = dividend.find_all('a')
print(links)
But it doesn't return anything.
Can someone help me please?

Edited: you can see the below updated code to access any data you mentioned in the comment, you can modify according to your needs as all the data on that page is inside data variable.
Updated Code:
import json
import requests
from bs4 import BeautifulSoup as bs
url = "https://statusinvest.com.br"
links = []
req = requests.get(f"{url}/acoes/proventos/ibovespa")
soup = bs(req.content, 'html.parser')
data = json.loads(soup.find('input', attrs={'id': 'result'})["value"])
print("Date Com Data")
for datecom in data["dateCom"]:
print(f"{datecom['code']}\t{datecom['companyName']}\t{datecom['companyNameClean']}\t{datecom['companyId']}\t{datecom['companyId']}\t{datecom['resultAbsoluteValue']}\t{datecom['dateCom']}\t{datecom['paymentDividend']}\t{datecom['earningType']}\t{datecom['dy']}\t{datecom['recentEvents']}\t{datecom['recentEvents']}\t{datecom['uRLClear']}")
print("\nDate Payment Data")
for datePayment in data["datePayment"]:
print(f"{datePayment['code']}\t{datePayment['companyName']}\t{datePayment['companyNameClean']}\t{datePayment['companyId']}\t{datePayment['companyId']}\t{datePayment['resultAbsoluteValue']}\t{datePayment['dateCom']}\t{datePayment['paymentDividend']}\t{datePayment['earningType']}\t{datePayment['dy']}\t{datePayment['recentEvents']}\t{datePayment['recentEvents']}\t{datePayment['uRLClear']}")
print("\nProvisioned Data")
for provisioned in data["provisioned"]:
print(f"{provisioned['code']}\t{provisioned['companyName']}\t{provisioned['companyNameClean']}\t{provisioned['companyId']}\t{provisioned['companyId']}\t{provisioned['resultAbsoluteValue']}\t{provisioned['dateCom']}\t{provisioned['paymentDividend']}\t{provisioned['earningType']}\t{provisioned['dy']}\t{provisioned['recentEvents']}\t{provisioned['recentEvents']}\t{provisioned['uRLClear']}")
Seeing to the source code of that website one could fetch the json directly and get your desired links follow the below code.
Code:
import json
import requests
from bs4 import BeautifulSoup as bs
url = "https://statusinvest.com.br"
links=[]
req = requests.get(f"{url}/acoes/proventos/ibovespa")
soup = bs(req.content, 'html.parser')
data = json.loads(soup.find('input', attrs={'id': 'result'})["value"])
for datecom in data["dateCom"]:
links.append(f"{url}{datecom['uRLClear']}")
for datePayment in data["datePayment"]:
links.append(f"{url}{datePayment['uRLClear']}")
for provisioned in data["provisioned"]:
links.append(f"{url}{provisioned['uRLClear']}")
print(links)
Output:
Let me know if you have any questions :)

Incorrect number of html elements being returned

I'm scraping from the following page: https://www.pro-football-reference.com/boxscores/201809060phi.htm
I have this code:
import requests
from bs4 import BeautifulSoup
url = 'https://www.pro-football-reference.com/boxscores/201809060phi.htm'
r = requests.get(url)
soup = BeautifulSoup(r.text, 'lxml')
tables = soup.findAll("div",{"class":"table_outer_container"})
print (len(tables))
Each table on the page has the element "div",{"class":"table_outer_container"}. But my print statement only returns 1. Am I wrong in believing that my findAll statement will assign all of those elements to the variable, "tables"?

It's because most of the tables are within comments and your script wont grab them unless you kick out those vicious signs -->,<!-- from response. Try the following. It should give you 20 tables from that page.
import requests
from bs4 import BeautifulSoup
url = 'https://www.pro-football-reference.com/boxscores/201809060phi.htm'
r = requests.get(url).text
res = r.replace("<!--","").replace("-->","")
soup = BeautifulSoup(res, 'lxml')
tables = soup.findAll("div",{"class":"table_outer_container"})
print (len(tables))

Could not able to extract #document from HTML file through python web scraping

When I inspect the elements on my browser, I can obviously see the exact web content. But when I try to run the below script, I cannot see the some of the web page details. In the web page I see there are "#document" elements and that is missing while I run the script. How can I see the details of #document elements or extract with the script.?
from bs4 import BeautifulSoup
import requests
response = requests.get('http://123.123.123.123/')
soup = BeautifulSoup(response.content, 'html.parser')
print soup.prettify()

You need to make additional requests to get the frame page contents as well:
from urlparse import urljoin
from bs4 import BeautifulSoup
import requests
BASE_URL = 'http://123.123.123.123/'
with requests.Session() as session:
response = session.get(BASE_URL)
soup = BeautifulSoup(response.content, 'html.parser')
for frame in soup.select("frameset frame"):
frame_url = urljoin(BASE_URL, frame["src"])
response = session.get(frame_url)
frame_soup = BeautifulSoup(response.content, 'html.parser')
print(frame_soup.prettify())