Ricky Martin

Ricky Martin


How to extracted an embedded video into your code Python

Below, I show you how I extracted the embedded video source, along with a code example in Python. All right, pick a Yahoo article, and let’s dig!


As many embedded video extraction tutorials point out, finding the embedded video source through a browser’s web inspector is relatively easy. However, in order to build an efficient extractor that covers all Yahoo! Japan News articles, we need a clear, reproducible path from the original URL to the video source.

First, the obvious: I access an article and search for video-related extensions like “mp4” and “m3u8” in the source code.

Article source code

Nada. Oftentimes, the word “player”is associated with videos, so let’s see if that works.

Article source code

Aha! An external Javascript script, _embed.js_. Note the _contentid_ and _spaceid_ values in the parameters sent to _embed.js_. They look useful. Now, let’s check what’s inside.


The code seems to reference another script, player.js and includes a parameter, the current UNIX timestamp converted to hours.

Network Inspection

Let’s take a look inside player.js with Google Chrome DevTools.


player.js is huge and scary looking and doesn’t contain any useful mp4 or [m3u8](https://www.lifewire.com/m3u8-file-2621956) urls either.

Okay, let’s work backwards and search for mp4 in requests that were made when we loaded the page (you may want to reload the page).

JSON response from https://feapi-yvpub.yahooapis.jp/v1/content/

Bingo! A JSON response with our m3u8 and mp4 sources. This response is generated by a request we made to https://feapi-yvpub.yahooapis.jp/v1/content/ with the following parameters:

What’s the 1602163 in …/v1/content/1602163? That’s the value of contentid we noted earlier. And space_id here matches our spaceid. Nice. What about appid? Let’s see if its value is mentioned in any other responses.


There it is, hard coded in player.script.js! And a quick look at other news articles confirms that this value is used for all embedded video requests. Three values down. Now, let’s search for ak’s value.

Unfortunately, the ak value is nowhere else to be found but in this JSON query. Where is ak coming from?


I have a hunch that ak might be a Javascript object name. Let’s search for “ak:”.



Aha! It looks like ak is a concatenation of “_” and two strings in both player.js and player.script.js. We also see it in player.js passed to function k.md5().

My guess is that this concatenated string value is converted to an md5 hash value. But first we must figure out the values being concatenated to “_”.

Let’s open player.js in the Sources tab (right click inside Response body and choose Open in Sources panel) and add a breakpoint after ak is defined.


Next, let’s close our open file tabs under Sources and reload the page.

Odd. It doesn’t seem to hit that line. Let’s try the same thing in player.script.js.


(Make sure to click the Pretty Print brackets on the bottom left after reloading the page.)


Bingo! iappears to be the same value as the spaceid that we noted earlier, and r is “headlines.yahoo.co.jp,” our host name, so we now have the string value “2078710353_headlines.yahoo.co.jp”.

It looks nothing like the long, cryptic ak value in the request query, but remember that k.md5 function call in player.js? Let’s check its md5 hash value.

Would you look at that! It’s the same value as ak in the JSON request query. Nailed it.


Recall that the JSON request included the following parameters, minus the thumb values.

  • appid: dj0zaiZpPVZMTV…jcmV0Jng9YjU-

  • output: json

  • space_id: 2078710353

  • domain: headlines.yahoo.co.jp

  • ak: 40e90ec7a4ffb34260fcbb9497778731

  • device_type: 1100

We now have all the unique values — and, more importantly, their sources — that are required to make a JSON request programmatically in our code for any article. One last thing on the parameters: is device_typenecessary? Let’s make a request without it.

No video data. Apparently it is, so we’ll keep it.

Quick review on how we got to our video data.

  • Article URL (extracted host name)
  • Article HTML source code (extracted contentid and spaceid)
  • md5 hash generator (ran on spaceid + “_” + host to get value of pk)
  • player.script.js (extracted appid)
  • Request to https://feapi-yvpub.yahooapis.jp/v1/content/{contentid} with our contentid, appid, spaceid, and pk values.


What might this extraction process look like in code? Here’s a rough example in Python:

import hashlib
import re
import requests

_VALID_URL = r'https?://(?P<host>(?:news|headlines)\.yahoo\.co\.jp)[^\d]*(?P<id>\d[\d-]*\d)?'

# More functions here...

def yahoojnews_extract(url):
    mobj = re.match(_VALID_URL, url)
    if not mobj:
        raise ValueError('Invalid url %s' % url)
    host = mobj.group('host')
    display_id = mobj.group('id') or host
    webpage = _download_webpage(url)

    title = _search_title(webpage)
    if display_id == host:
        # Headline page (w/ multiple BC playlists) ('news.yahoo.co.jp', 'headlines.yahoo.co.jp/videonews/', ...)
        return _playlist_result(webpage)

    # Article page
    description = _search_description(webpage)
    thumbnail = _search_thumbnail(webpage)

    space_id = _search_regex([
            r'YAHOO\.JP\.srch\.\w+link\.onLoad[^;]+spaceID["\' ]*:["\' ]+([^"\']+)',
        ], webpage, 'spaceid')
    content_id = re.search(

    r = requests.get(
        'https://feapi-yvpub.yahooapis.jp/v1/content/%s' % content_id,
            'Accept': 'application/json, text/javascript, */*; q=0.01',
            'Origin': 'https://s.yimg.jp',
            'Host': 'feapi-yvpub.yahooapis.jp',
            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36',
            'Referer': 'https://s.yimg.jp/images/yvpub/player/vamos/pc/latest/player.html',
            'appid': 'gj0zaiZpPVZMTVFJR0F...VycbVjcmV0jng9Yju-',
            'output': 'json',
            'space_id': space_id,
            'domain': host,
            'ak': hashlib.md5('_'.join((space_id, host)).encode()).hexdigest(),
            'device_type': '1100',
    json_data = r.json()

    formats = _parse_formats(json_data)

    return {
        'id': display_id,
        'title': title,
        'description': description,
        'thumbnail': thumbnail,
        'formats': formats,

Example of Yahoo! Japan News article embedded video extraction.

Note in yahoojnews_extract() that I include header values in the request that match the actual values in the request made from our page to avoid suspicion. Once I have the JSON data, I pass it to _parse_formats to extract the video data (urls, fps, etc.) and return it along with other information such as the title.

View the extraction code I wrote for youtube-dl here or download and watch it in action:

$ pip install youtube-dl && youtube-dl https://news.yahoo.co.jp

Thanks for reading!

#Python #HTML #Javascript #Debugging

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How to extracted an embedded video into your code Python
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

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Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

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No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

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Utilized by the best 

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Massive community support 

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Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

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Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

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Ray  Patel

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2. Using list/dict/set Comprehension Unnecessarily

3. Unnecessary Use of Generators

4. Returning More Than One Object Type in a Function Call

5. Not Using get() to Return Default Values From a Dictionary

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