The code you provided appears to be an HTML template for a news article on the website of CNN (Cable News Network). The template includes various elements, such as:
* A video player with several video resources embedded within it
* A list of footnotes at the bottom of the page
* Various scripts and stylesheets referenced in the HTML code
The specific sections of interest are:
1. Video Player:
* `<div id="player-cms.cnn.com/_components/video-player/instances/h_d3983c18e5f50ca3a0938640a3de55c5@published" class="video-resource__wrapper">`
* `<div class="video-resource__image">...</div>`
* `<div data-uri="cms.cnn.com/_components/image/instances/thumbnail-image-fbf3b7aded79f1de7c7d35ec8fb2a194@published"...>``
2. Footnotes:
* `<p class="footnote vossi-footnote inline-placeholder" data-uri="cms.cnn.com/_components/footnote/instances/footnote-5bada972125d6d39e17f8131d2fca926@published">...</p>`
To write a script or program that can extract information from this HTML template, you would need to:
* Parse the HTML code using a library such as BeautifulSoup
* Identify and extract relevant data elements (e.g., video titles, descriptions, timestamps)
* Store the extracted data in a structured format for further analysis or processing
Here is an example of how you might use Python with BeautifulSoup to parse this HTML template:
```python
import bs4
from bs4 import element
# Load the HTML code into a string
html = """
<!-- your HTML code here -->
"""
# Parse the HTML code using BeautifulSoup
soup = bs4.BeautifulSoup(html, 'html.parser')
# Find all video players with class "video-resource__wrapper"
video_players = soup.find_all('div', {'class': 'video-resource__wrapper'})
# Iterate over each video player and extract relevant data
for video_player in video_players:
# Extract the title of the video player
title = video_player.find_element_by_class_name('video-resource__headline')
print(f"Title: {title.text.strip()}")
# Extract the timestamp of the video player
timestamp = video_player.find_element_by_data_attr('timestamp-html')
print(f"Timestamp: {timestamp.text.strip()}")
# Find all footnotes with class "footnote vossi-footnote"
footnotes = soup.find_all('p', {'class': 'footnote vossi-footnote'})
# Iterate over each footnote and extract the text
for footnote in footnotes:
print(f"Footnote: {footnote.text.strip()}")
```
This is just a basic example to get you started. You can modify the script to suit your specific needs, such as extracting more data or performing additional processing on the extracted data.
* A video player with several video resources embedded within it
* A list of footnotes at the bottom of the page
* Various scripts and stylesheets referenced in the HTML code
The specific sections of interest are:
1. Video Player:
* `<div id="player-cms.cnn.com/_components/video-player/instances/h_d3983c18e5f50ca3a0938640a3de55c5@published" class="video-resource__wrapper">`
* `<div class="video-resource__image">...</div>`
* `<div data-uri="cms.cnn.com/_components/image/instances/thumbnail-image-fbf3b7aded79f1de7c7d35ec8fb2a194@published"...>``
2. Footnotes:
* `<p class="footnote vossi-footnote inline-placeholder" data-uri="cms.cnn.com/_components/footnote/instances/footnote-5bada972125d6d39e17f8131d2fca926@published">...</p>`
To write a script or program that can extract information from this HTML template, you would need to:
* Parse the HTML code using a library such as BeautifulSoup
* Identify and extract relevant data elements (e.g., video titles, descriptions, timestamps)
* Store the extracted data in a structured format for further analysis or processing
Here is an example of how you might use Python with BeautifulSoup to parse this HTML template:
```python
import bs4
from bs4 import element
# Load the HTML code into a string
html = """
<!-- your HTML code here -->
"""
# Parse the HTML code using BeautifulSoup
soup = bs4.BeautifulSoup(html, 'html.parser')
# Find all video players with class "video-resource__wrapper"
video_players = soup.find_all('div', {'class': 'video-resource__wrapper'})
# Iterate over each video player and extract relevant data
for video_player in video_players:
# Extract the title of the video player
title = video_player.find_element_by_class_name('video-resource__headline')
print(f"Title: {title.text.strip()}")
# Extract the timestamp of the video player
timestamp = video_player.find_element_by_data_attr('timestamp-html')
print(f"Timestamp: {timestamp.text.strip()}")
# Find all footnotes with class "footnote vossi-footnote"
footnotes = soup.find_all('p', {'class': 'footnote vossi-footnote'})
# Iterate over each footnote and extract the text
for footnote in footnotes:
print(f"Footnote: {footnote.text.strip()}")
```
This is just a basic example to get you started. You can modify the script to suit your specific needs, such as extracting more data or performing additional processing on the extracted data.
like what if some1 cant see vids coz they r too long? we need better solutions 4 people with disabilities 
also whats up wit all these scripts & stylesheets? its like, how many ppl actually understand html 
I mean, we've got TikTok and Twitter and whatnot, right? And don't even get me started on footnotes – isn't that just a fancy way of saying "see the note over here"? 
It's all so... old-fashioned. 
this code is like a big ol' puzzle, and it looks like we're trying to figure out how to crack it 
It feels like a lot of noise, if you ask me... but maybe that's what CNN is going for? 
But hey, I guess that's what BeautifulSoup is for, right? 
it's like they designed it to be scraped by a robot... anyway, using python with bs4 is a good start, but you'd probably wanna use more advanced web scraping techniques like handling anti-scraping measures or dealing with ajax requests 
. I mean, don't get me wrong, it's cool that they're sharing content from their archives, but it feels a bit outdated. Like, can't we just have some interactive features or embeds from other platforms? 
like what's up with all those extra scripts and stylesheets? shouldn't they just include the necessary parts in the main article content? 
anyway, using python with beautifulsoup is a good way to start 
. The example code they provided is super helpful in getting started with this, even if it is a bit overwhelming at first 
!
i mean, what's the point of even including video resources if you're not gonna use them? 
️... Been feeling like I need to cut down on how much time I waste online. It's funny, but I used to spend hours scrolling through social media, and now I've been reducing that time by half 
... feels weird at first, but good for productivity!
i mean i get it they gotta make money somehow but can't we just get our news from actual people instead of automated stuff?