youtube_yapper_trapper
youtube_yapper_trapper copied to clipboard
CrewAI agents that gather and analyze YouTube comments to generate insights to inform better content creation.
YoutubeYapperTrapper Crew
Welcome to the YoutubeYapperTrapper Crew project, powered by CrewAI + AgentOps for observability + YouTube Data API. This project allows agents to take a given YouTube URL, extracts all the comments, and generates a final report with insights to inform better content creation.
Crew architecture diagram
Video tutorial

Installation
Ensure you have Python >=3.10 <=3.13 installed on your system. This project uses Poetry for dependency management and package handling, offering a seamless setup and execution experience.
First, if you haven't already, install Poetry:
pip install poetry
Next, navigate to your project directory and install the dependencies:
- First lock the dependencies and then install them:
poetry lock
poetry install
Customizing
Add your OPENAI_API_KEY
into the .env
file if you want to use it.
- Modify
src/youtube_yapper_trapper/config/agents.yaml
to define your agents - Modify
src/youtube_yapper_trapper/config/tasks.yaml
to define your tasks - Modify
src/youtube_yapper_trapper/crew.py
to add your own logic, tools and specific args - Modify
src/youtube_yapper_trapper/main.py
to add custom inputs for your agents and tasks
Running the Project
Rename the .env_example
file to .env
, add your API keys, and save the file.
To kickstart your crew of AI agents and begin task execution, run this from the root folder of your project:
poetry run youtube_yapper_trapper
This command initializes the youtube-yapper-trapper Crew, assembling the agents and assigning them tasks as defined in your configuration.
This example, unmodified, will run the create a report.md
file with the output of a research on LLMs in the root folder.
Understanding Your Crew
The youtube-yapper-trapper Crew is composed of multiple AI agents, each with unique roles, goals, and tools. These agents collaborate on a series of tasks, defined in config/tasks.yaml
, leveraging their collective skills to achieve complex objectives. The config/agents.yaml
file outlines the capabilities and configurations of each agent in your crew.
Support
For support, questions, or feedback regarding the YoutubeYapperTrapper crew, CrewAI, or AgentOps.
- Visit CrewAI documentation
- Reach out to me through my GitHub repository
- Joing CrewAI Discord
- Chat wtih CrewAI docs
- Check out AgentOps!
- Also don't forget to subscribe to my channel for more awesome content!
Let's create wonders together with the power and simplicity of CrewAI.