DIY-Crush Your #Competition with #Automated #YouTube Data Collection Using #Python Code

As a digital marketer, you know that data is the key to success. But manually collecting and analyzing data from YouTube videos is tedious and time-consuming. What if we told you there's a way to automate this process and gain valuable insights into your competition's video strategy?

Introducing our Python code that can extract video metrics such as title, views, likes, dislikes, comments, date uploaded, and duration from a list of YouTube video URLs. With just a few clicks, you can save hours of manual work and have all the data you need in one convenient file.

But the real magic happens when you use this data to improve your video strategy and crush your competition. By analyzing your competition's metrics, you can identify areas where they excel and areas where they fall short. You can use this information to optimize your own videos and gain a competitive edge in the digital marketing world.

And the best part? You don't need any technical knowledge to use this code. Simply input a list of YouTube video URLs and a YouTube API key, and let the code do the rest. It's that easy!

So, what are you waiting for? Don't waste another minute manually collecting and analyzing YouTube video data. Use our Python code to automate the process and gain a competitive edge in the digital marketing world. Crush your competition and skyrocket your success with automated YouTube data collection using Python code.

Now the entire code:?

import re
import requests
from datetime import datetime, timedelta

# function to extract video ID from URL using regex
def extract_video_id(url):
? ? match = re.search(r"(?<=v=)[a-zA-Z0-9-_]+|(?<=be/)[a-zA-Z0-9-_]+", url)
? ? if match:
? ? ? ? return match.group()
? ? else:
? ? ? ? return None

# function to get video information using YouTube API key
def get_video_info(api_key, video_id):
? ? url = f"https://www.googleapis.com/youtube/v3/videos?id={video_id}&key={api_key}&part=snippet,statistics,contentDetails"
? ? response = requests.get(url)
? ? json = response.json()
? ? title = json['items'][0]['snippet']['title']
? ? description = json['items'][0]['snippet']['description']
? ? views = json['items'][0]['statistics']['viewCount']
? ? likes = json['items'][0]['statistics']['likeCount']
? ? dislikes = json['items'][0]['statistics'].get('dislikeCount', 'N/A')
? ? comments = json['items'][0]['statistics'].get('commentCount', 'N/A')
? ? date_uploaded = json['items'][0]['snippet']['publishedAt']
? ? duration = json['items'][0]['contentDetails']['duration']
? ? return title, description, views, likes, dislikes, comments, date_uploaded, duration

# list of YouTube video URLs
urls = [
? ? "PASTE YOUTUBE URL 1 HERE",
? ? "PASTE YOUTUBE URL 2 HERE"
? ? #Paste as many url's you like.
]

# get the date to add to the filename
date = datetime.now().strftime('%Y-%m-%d')

# loop through each URL and get video information using YouTube API key
with open(f'video_info_{date}.txt', 'w') as f:
? ? for url in urls:
? ? ? ? # extract video ID from URL
? ? ? ? video_id = extract_video_id(url)

? ? ? ? # if video ID is found in URL, get video information using YouTube API key
? ? ? ? if video_id:
? ? ? ? ? ? api_key = "YOUR API KEY HERE"
? ? ? ? ? ? title, description, views, likes, dislikes, comments, date_uploaded, duration = get_video_info(api_key, video_id)
? ? ? ? ? ? f.write(f"URL: {url}\n")
? ? ? ? ? ? f.write(f"Title: {title}\n")
? ? ? ? ? ? f.write(f"Date Uploaded: {date_uploaded}\n")
? ? ? ? ? ? f.write(f"Duration: {duration}\n")
? ? ? ? ? ? f.write(f"Views: {views}\n")
? ? ? ? ? ? f.write(f"Likes: {likes}\n")
? ? ? ? ? ? f.write(f"Dislikes: {dislikes}\n")
? ? ? ? ? ? f.write(f"Comments: {comments}\n")
? ? ? ? ? ? f.write(f"Date of Data Collection: {datetime.now().strftime('%Y-%m-%d')}\n")
? ? ? ? ? ? f.write("\n") # add a newline character to create a gap between outputs
? ? ? ? else:
? ? ? ? ? ? print(f"Invalid YouTube video URL: {url}")

print("Video information for all URLs saved to video_info.txt")        

Output:

Important: You may need to install libraries in it before using it and get youtube api key. Below is how you can do it.?

1. Install the required libraries:

To run this code, you’ll need to install the?re,?requests, and?datetime?libraries. You can install them using the following commands in your command prompt or terminal:

pip install re
pip install requests
pip install datetime        

2.?Obtain a YouTube API key:

To use the YouTube Data API, you’ll need to obtain a YouTube API key. Here are the steps to obtain a key:

• Go to the Google Developers Console (https://console.developers.google.com/).
• Create a new project by clicking on the “Select a project” dropdown menu at the top of the page and selecting “New Project”. Follow the prompts to create your new project.
• Once your project is created, click on the “Library” tab in the left-hand menu.
• Search for “YouTube Data API” and select it from the results.
• Click on the “Enable” button to enable the API.
• Once the API is enabled, click on the “Create credentials” button and select “API key” from the dropdown menu.
• Copy the API key that is generated and use it in the?get_video_info?function in the code.

And that’s it! Once you’ve installed the required libraries and obtained a YouTube API key, you’re ready to use the code and start automating your YouTube video analysis.

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