🤖 Universal Reddit Scraper Suite

A full-featured Reddit scraper with analytics dashboard, REST API, scheduled scraping, plugins, and more. No API keys required!

✨ Features

Feature	Description
📊 Full Scraping	Posts, comments, images, videos, galleries
📈 Web Dashboard	Beautiful Streamlit UI with 7 tabs
🚀 REST API	Connect Metabase, Grafana, DuckDB
🔌 Plugin System	Extensible post-processing (sentiment, dedupe, keywords)
📋 Job Tracking	Full history with status, duration, errors
🧪 Dry Run Mode	Test scrape rules without saving data
📦 Parquet Export	Analytics-ready format for DuckDB/warehouses
😀 Sentiment Analysis	Analyze post/comment sentiment
📅 Scheduled Scraping	Cron-style job scheduling
📧 Notifications	Discord & Telegram alerts
🗄️ SQLite Database	Structured storage with auto-backup

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🚀 Quick Start

# Install dependencies
pip install -r requirements.txt

# Scrape a subreddit
python main.py python --mode full --limit 100

# Launch dashboard
python main.py --dashboard
# Opens at http://localhost:8501

📋 Requirements

• Python 3.8+
• ffmpeg (optional, for video with audio)

# Windows (via chocolatey)
choco install ffmpeg

# macOS
brew install ffmpeg

# Ubuntu/Debian
sudo apt install ffmpeg

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📖 All Commands

🔄 Scraping

# Full scrape (posts + media + comments)
python main.py delhi --mode full --limit 100

# Fast history-only (no media/comments)
python main.py delhi --mode history --limit 500

# Live monitor (checks every 5 min)
python main.py delhi --mode monitor

# Scrape a user's posts
python main.py spez --user --mode full --limit 50

# Skip media or comments
python main.py delhi --no-media --limit 200
python main.py delhi --no-comments --limit 200

🧪 Dry Run Mode

Test scrape rules without saving any data:

python main.py python --mode full --limit 50 --dry-run

Output:

🧪 DRY RUN MODE - No data will be saved
🧪 DRY RUN COMPLETE!
   📊 Would scrape: 100 posts
   💬 Would scrape: 245 comments

🔌 Plugins

Enable post-processing plugins:

# List available plugins
python main.py --list-plugins

# Run with plugins enabled
python main.py python --mode full --plugins

Built-in Plugins:

Plugin	Description
sentiment_tagger	Adds sentiment scores to posts
deduplicator	Removes duplicate posts
keyword_extractor	Extracts top keywords

Create custom plugins in plugins/ folder.

📊 Dashboard

python main.py --dashboard
# Opens at http://localhost:8501

Dashboard Tabs:

• 📊 Overview - Stats & charts
• 📈 Analytics - Sentiment & keywords
• 🔍 Search - Query scraped data
• 💬 Comments - Comment analysis
• ⚙️ Scraper - Start new scrapes
• 📋 Job History - View all jobs
• 🔌 Integrations - API, export, plugins

🚀 REST API

python main.py --api
# API at http://localhost:8000
# Docs at http://localhost:8000/docs

Endpoints:

Endpoint	Description
GET /posts	List posts with filters
GET /comments	List comments
GET /subreddits	All scraped subreddits
GET /jobs	Job history
GET /query?sql=...	Raw SQL queries
GET /grafana/query	Grafana time-series

📦 Export & Maintenance

# Export to Parquet (for DuckDB/warehouses)
python main.py --export-parquet python

# View job history
python main.py --job-history

# Backup database
python main.py --backup

# Optimize database
python main.py --vacuum

📅 Scheduled Scraping

# Scrape every 60 minutes
python main.py --schedule delhi --every 60

# With options
python main.py --schedule delhi --every 30 --mode full --limit 50

🔍 Search & Analytics

# Search scraped data
python main.py --search "credit card" --min-score 100

# Run sentiment analysis
python main.py --analyze delhi --sentiment

# Extract keywords
python main.py --analyze delhi --keywords

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🐳 Docker

Quick Start

# Build
docker build -t reddit-scraper .

# Run scrape
docker run -v ./data:/app/data reddit-scraper python --limit 100

# Run with plugins
docker run -v ./data:/app/data reddit-scraper python --plugins

Docker Compose (Full Stack)

# Start API + Dashboard
docker-compose up -d

# Access:
# Dashboard: http://localhost:8501
# API: http://localhost:8000/docs

Deploy to AWS/VPS

# SSH into your server
ssh user@your-server-ip

# Clone repo
git clone https://github.com/ksanjeev284/reddit-universal-scraper.git
cd reddit-universal-scraper

# Start services
docker-compose up -d

# Open firewall ports
sudo ufw allow 8000
sudo ufw allow 8501

Access:

• http://your-server-ip:8501 → Dashboard
• http://your-server-ip:8000/docs → API

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🔗 External Integrations

Metabase

1. Start API: python main.py --api
2. Add HTTP datasource: http://localhost:8000
3. Query: /posts?subreddit=python&limit=100

Grafana

1. Install "JSON API" or "Infinity" plugin
2. Add datasource: http://localhost:8000
3. Use /grafana/query for time-series

DuckDB

import duckdb

# Export to Parquet first
# python main.py --export-parquet python

# Query directly
duckdb.query("SELECT * FROM 'data/parquet/*.parquet'").df()

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📁 Project Structure

reddit-scraper/
├── main.py              # CLI entry point
├── config.py            # Settings
├── analytics/           # Sentiment & keywords
├── alerts/              # Discord/Telegram
├── api/                 # REST API server
├── dashboard/           # Streamlit UI
├── export/              # Database & exports
├── plugins/             # Post-processing plugins
├── scheduler/           # Cron scheduling
├── search/              # Search engine
└── data/
    ├── r_subreddit/     # Scraped data
    ├── backups/         # DB backups
    └── parquet/         # Parquet exports

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📊 Data Output

posts.csv

Column	Description
id	Reddit post ID
title	Post title
author	Username
score	Net upvotes
num_comments	Comment count
post_type	text/image/video/gallery
selftext	Post body
sentiment_score	-1.0 to 1.0 (with plugins)

comments.csv

Column	Description
comment_id	Comment ID
post_permalink	Parent post
author	Username
body	Comment text
score	Upvotes

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⚙️ Environment Variables

# Notifications
export DISCORD_WEBHOOK_URL="https://discord.com/api/webhooks/..."
export TELEGRAM_BOT_TOKEN="123456:ABC..."
export TELEGRAM_CHAT_ID="987654321"

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📜 License

MIT License - Feel free to use, modify, and distribute.

🤝 Contributing

Pull requests welcome! For major changes, please open an issue first.