Email Scraping for YouTube Influencers

We are looking for a skilled freelancer to scrape email addresses from YouTube channels with a subscriber base of over 50,000. The channels should be categorized by different niches. The final output should be a CSV file with the required details.

Responsibilities:
Identify YouTube channels with over 50,000 subscribers.
Categorize the channels by niche (e.g., beauty, tech, gaming, lifestyle, etc.).
Scrape email addresses from the "About" section of each channel.
Compile the data into a CSV file with the following columns:
Channel Name, Channel URL, Subscriber Count, Category, Email Address


Requirements:
Experience with web scraping and data extraction.
Proficiency in using Python, Selenium, or other scraping tools.
Ability to handle large datasets and ensure data accuracy.
Understanding of YouTube's structure and privacy policies.


Deliverables:
A CSV file containing the scraped data, structured as specified.
A brief report on the methods used and any challenges encountered.


Timeline:
The project should be completed within 2 days.


How to Apply:
Please provide examples of similar work you have done in the past and outline your approach to this project.