Slack Reaction Counter

This repository contains Python scripts that use the Slack API to count specific reactions in a Slack workspace, and then display the top 30 users with the most reactions.

Scripts

count_reactions.py - Fetches messages with specific reactions, counts reactions per user, and saves the data to a CSV file called reaction_counts.csv.
summarize_and_display_top_users.py - Reads the reaction counts from the reaction_counts.csv file, summarizes the counts by user, sorts the users by count, and displays the top 30 users with their user names and total counts.

Prerequisites

Python 3.6 or higher
slack-sdk Python package
python-dotenv Python package

Setup

Create a virtual environment and activate it:

source venv/bin/activate (Linux/Mac)
venv\Scripts\activate (Windows)

Install the required packages:
```
pip install -r requirement.txt
```
Create a .env file in the project directory and add your Slack API token:
```
SLACK_API_TOKEN=your_slack_api_token
```

Replace your_slack_api_token with your actual Slack API token.

Usage

Run the count_reactions.py script to fetch messages with specific reactions and save the reaction counts to the reaction_counts.csv file:
```
python count_reactions.py
```
Run the get_top_users_name.py script to read the reaction counts from the reaction_counts.csv file, summarize the counts by user, and display the top 30 users with their user names and total counts:
```
python get_top_users_name.py
```

Customization

To count different specific reactions, modify the specific_reactions list in the count_reactions.py script.
To change the number of top users displayed, modify the slice in the for loop in the get_top_users_name.py script.

halsk / slack-reaction-counter