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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.

How to make beautiful soup grab only what is between a set of "[:" ":]" in a web page?

Good afternoon! How do I make Beautifulsoup grab only what is between multiple sets of "[:" and ":]" So far I have got the entire page in my soup, but it does not have tags, sadly.
What it looks like so far
I have tried a couple of things so far:
soup.findAll(text="[")
keys = soup.find("span", attrs = {"class": "objectBox objectBox-string"})
import bs4 as bs
import urllib.request
source = urllib.request.urlopen("https://login.microsoftonline.com/common/discovery/keys").read()
soup = bs.BeautifulSoup(source,'lxml')
# ---------------------------------------------
# prior script that I was playing with trying to tackle this issue
import requests
import urllib.request
import time
from bs4 import BeautifulSoup
# Set URL to scrape new certs from
newcerts = "https://login.microsoftonline.com/common/discovery/keys"
# Connect to the URL
response = requests.get(newcerts)
# Parse HTML and save to BeautifulSoup Object
soup = BeautifulSoup(response.text, "html.parser")
keys = soup.find("span", attrs = {"class": "objectBox objectBox-string"})
End goal is to retrieve the public PKI keys from Azure's website at https://login.microsoftonline.com/common/discovery/keys

Not sure if this is what you meant to grab. Try the script below:
import json
import requests
url = 'https://login.microsoftonline.com/common/discovery/keys'
res = requests.get(url)
jsonobject = json.loads(res.content)
for item in jsonobject['keys']:
print(item['x5c'])

Problem with scraping data from website with BeautifulSoup

I am trying to take a movie rating from the website Letterboxd. I have used code like this on other websites and it has worked, but it is not getting the info I want off of this website.
import requests
from bs4 import BeautifulSoup
page = requests.get("https://letterboxd.com/film/avengers-endgame/")
soup = BeautifulSoup(page.content, 'html.parser')
final = soup.find("section", attrs={"class":"section ratings-histogram-
chart"})
print(final)
This prints nothing, but there is a tag in the website for this class and the info I want is under it.

The reason behind this, is that the website loads most of the content asynchronously, so you'll have to look at the http requests it sends to the server in order to load the page content after loading the page layout. You can find them in "network" section in the browser (F12 key).
For instance, one of the apis they use to load the rating is this one:
https://letterboxd.com/csi/film/avengers-endgame/rating-histogram/

You can get the weighted average from another tag
import requests
from bs4 import BeautifulSoup as bs
r = requests.get('https://letterboxd.com/film/avengers-endgame/')
soup = bs(r.content, 'lxml')
print(soup.select_one('[name="twitter:data2"]')['content'])
Text of all histogram
import requests
from bs4 import BeautifulSoup as bs
r = requests.get('https://letterboxd.com/csi/film/avengers-endgame/rating-histogram/')
soup = bs(r.content, 'lxml')
ratings = [item['title'].replace('\xa0',' ') for item in soup.select('.tooltip')]
print(ratings)

Scraping a table appearing on click with python

I want to scrape information from this page.
Specifically, I want to scrape the table which appears when you click "View all" under the "TOP 10 HOLDINGS" (you have to scroll down on the page a bit).
I am new to webscraping, and have tried using BeautifulSoup to do this. However, there seems to be an issue because the "onclick" function I need to take into account. In other words: The HTML code I scrape directly from the page doesn't include the table I want to obtain.
I am a bit confused about my next step: should I use something like selenium or can I deal with the issue in an easier/more efficient way?
Thanks.
My current code:
from bs4 import BeautifulSoup
import requests
Soup = BeautifulSoup
my_url = 'http://www.etf.com/SHE'
page = requests.get(my_url)
htmltxt = page.text
soup = Soup(htmltxt, "html.parser")
print(soup)

You can get a json response from the api: http://www.etf.com/view_all/holdings/SHE. The table you're looking for is located in 'view_all'.
import requests
from bs4 import BeautifulSoup as Soup
url = 'http://www.etf.com/SHE'
api = "http://www.etf.com/view_all/holdings/SHE"
headers = {'X-Requested-With':'XMLHttpRequest', 'Referer':url}
page = requests.get(api, headers=headers)
htmltxt = page.json()['view_all']
soup = Soup(htmltxt, "html.parser")
data = [[td.text for td in tr.find_all('td')] for tr in soup.find_all('tr')]
print('\n'.join(': '.join(row) for row in data))

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())