You will get clean YouTube channel and video data using the official YouTube Data API
Project details
I specialize in turning YouTube data into clean, analysis-ready datasets using the official YouTube Data API. Instead of raw, messy exports, you get structured CSV or Excel files that are easy to use for reporting, research, or performance analysis.
This project focuses on accuracy, reliability, and clarity. I handle pagination, data validation, and normalization so metrics are consistent across channels and videos. Typical outputs include channel information, video metadata, publish dates, engagement metrics (views, likes, comment counts), and direct URLs delivered in a format that works immediately in Excel, Power BI, Tableau, or Python.
Unlike generic tools or browser-based extractors, this approach is API-based and compliant, which means stable results and fewer surprises. You can either provide the channels or videos and receive the final dataset, or optionally get the reusable Python script with documentation to run it yourself.
This project focuses on accuracy, reliability, and clarity. I handle pagination, data validation, and normalization so metrics are consistent across channels and videos. Typical outputs include channel information, video metadata, publish dates, engagement metrics (views, likes, comment counts), and direct URLs delivered in a format that works immediately in Excel, Power BI, Tableau, or Python.
Unlike generic tools or browser-based extractors, this approach is API-based and compliant, which means stable results and fewer surprises. You can either provide the channels or videos and receive the final dataset, or optionally get the reusable Python script with documentation to run it yourself.
Data Tool
PythonWhat's included $40
These options are included with the project scope.
$40
- Delivery Time 2 days
- Number of Pages Mined/Scraped 10
- Number of Sources Mined/Scraped 10
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
Reusable Python Script and Documentation
+$60Frequently asked questions
About Mohammad Asif
Python Developer | Automation & Data Analysis
Dhaka, Bangladesh - 11:22 am local time
I work with scripts, APIs, and data, helping founders and teams automate workflows, extract insights, and turn ideas into working systems.
Typical work includes:
- Python automation & scripts
- FastAPI / Flask backends
- Data cleaning, analysis, and reporting
- PostgreSQL / MySQL database design
- Internal tools and MVPs
I keep things practical: clean logic, clear outputs, and no unnecessary complexity.
If you’re not sure whether your task is “development” or “data,” that’s usually a good sign I can help.
Steps for completing your project
After purchasing the project, send requirements so Mohammad Asif can start the project.
Delivery time starts when Mohammad Asif receives requirements from you.
Mohammad Asif works on your project following the steps below.
Revisions may occur after the delivery date.
Fetch and validate YouTube channel and video data via official API
I fetch channel and video data using the official YouTube Data API, handle pagination, and validate completeness. This includes channel stats and video-level metadata such as titles, publish dates, views, likes, and comment counts.
Clean, structure, and deliver analysis-ready CSV output
I clean and normalize the data and deliver a structured CSV or Excel file. The output includes consistent columns like channel name, video ID, title, publish date, views, likes, comments, and URLs, ready for analysis or reporting.