🚀 Reddit Posts & Comments Scraper

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📋 Table of Contents

• About
• Features
• Installation
• Quick Start
• Configuration
• Input/Output Format
• API Reference
• Examples
• Proxy Support
• Rate Limiting
• Troubleshooting
• Contributing
• License
• FAQ

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📖 About

The Reddit Posts & Comments Scraper is a professional-grade reddit scraper tool designed to efficiently extract public posts, comments, and metadata from Reddit subreddits. Whether you're conducting market research, sentiment analysis, or building data-driven applications, this reddit scraper provides reliable and structured data extraction capabilities.

This tool is built with scalability and compliance in mind, respecting Reddit's API guidelines while delivering high-performance data extraction for developers, researchers, and businesses.

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✨ Features

Feature	Description
🎯 Targeted Scraping	Extract posts from specific subreddits with custom filters
💬 Comment Extraction	Optional comment scraping for deeper insights
🔒 Proxy Support	Residential & datacenter proxy configuration included
📊 Rich Metadata	Get scores, upvote ratios, authors, flairs, and more
🔄 Multiple Sort Options	Sort by hot, new, top, rising, and controversial
⏱️ Time Filtering	Filter posts by hour, day, week, month, year, or all time
📁 Multiple Formats	Export data in JSON, CSV, or XML formats
🚀 High Performance	Optimized for large-scale data extraction
🛡️ Rate Limiting	Built-in rate limiting to avoid IP bans
📝 Detailed Logging	Comprehensive logging for debugging and monitoring

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⚡ Quick Start

Basic Usage

from reddit_scraper import RedditScraper

# Initialize the scraper
scraper = RedditScraper()

# Define your configuration
config = {
    "include_comments": False,
    "subreddit": "technology",
    "sort": "hot",
    "time_filter": "all",
    "max_results": 25
}

# Run the scraper
results = scraper.scrape(config)

# Export to JSON
scraper.export_to_json(results, "output.json")

# Export to CSV
scraper.export_to_csv(results, "output.csv")

Command Line Usage

# Basic scrape
python reddit_scraper.py --subreddit technology --max-results 25

# With comments
python reddit_scraper.py --subreddit technology --include-comments --max-results 50

# With custom sort and time filter
python reddit_scraper.py --subreddit technology --sort top --time-filter week --max-results 100

# With proxy configuration
python reddit_scraper.py --subreddit technology --use-proxy --proxy-group RESIDENTIAL

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⚙️ Configuration

Input Parameters

Parameter	Type	Required	Default	Description
subreddit	string	✅ Yes	-	Target subreddit name (e.g., "technology")
include_comments	boolean	❌ No	false	Whether to scrape comments for each post
sort	string	❌ No	"hot"	Sort order: hot, new, top, rising, controversial
time_filter	string	❌ No	"all"	Time range: hour, day, week, month, year, all
max_results	integer	❌ No	25	Maximum number of posts to scrape (1-1000)
proxyConfiguration.useApifyProxy	boolean	❌ No	false	Enable Apify proxy service
proxyConfiguration.apifyProxyGroups	array	❌ No	[]	Proxy groups: RESIDENTIAL, DATACENTER

Example Configuration

{
  "include_comments": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "subreddit": "technology",
  "sort": "hot",
  "time_filter": "all",
  "max_results": 25
}

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📥 Input/Output Format

Input Example

{
  "include_comments": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  },
  "subreddit": "technology",
  "sort": "hot",
  "time_filter": "all",
  "max_results": 25
}

Output Example

[
  {
    "post_id": "1rt52qa",
    "title": "Meta planning sweeping layoffs as AI costs mount",
    "text": null,
    "score": 4506,
    "upvote_ratio": 0.97,
    "url": "https://www.reuters.com/business/world-at-work/meta-planning-sweeping-layoffs-ai-costs-mount-2026-03-14/",
    "permalink": "https://www.reddit.com/r/technology/comments/1rt52qa/meta_planning_sweeping_layoffs_as_ai_costs_mount/",
    "author": "joe4942",
    "subreddit": "technology",
    "flair": "Business",
    "num_comments": 569,
    "awards": 0,
    "is_video": false,
    "domain": "reuters.com",
    "thumbnail": "https://external-preview.redd.it/...",
    "created_at": "1773448769"
  }
]

Output Fields Description

Field	Type	Description
post_id	string	Unique Reddit post identifier
title	string	Post title
text	string/null	Self-post text content (null for link posts)
score	integer	Total upvotes minus downvotes
upvote_ratio	float	Percentage of upvotes (0.0 - 1.0)
url	string	Original link URL (for link posts)
permalink	string	Reddit post permalink
author	string	Post author username
subreddit	string	Subreddit name
flair	string/null	Post flair text
num_comments	integer	Number of comments on the post
awards	integer	Total awards received
is_video	boolean	Whether the post is a video
domain	string/null	Domain of the linked content
thumbnail	string/null	Thumbnail image URL
created_at	string	Unix timestamp of post creation

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🔌 API Reference

Class: RedditScraper

Constructor

scraper = RedditScraper(api_credentials=None, rate_limit=True)

Parameter	Type	Default	Description
api_credentials	dict	None	Reddit API credentials (client_id, client_secret)
rate_limit	boolean	True	Enable automatic rate limiting

Methods

Method	Parameters	Returns	Description
scrape(config)	config: dict	list	Main scraping method
export_to_json(data, filename)	data: list, filename: str	bool	Export data to JSON file
export_to_csv(data, filename)	data: list, filename: str	bool	Export data to CSV file
export_to_xml(data, filename)	data: list, filename: str	bool	Export data to XML file
validate_config(config)	config: dict	bool	Validate configuration parameters
get_subreddit_info(name)	name: str	dict	Get subreddit metadata

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💡 Examples

Example 1: Scrape Top Posts from r/technology

config = {
    "subreddit": "technology",
    "sort": "top",
    "time_filter": "week",
    "max_results": 50
}

results = scraper.scrape(config)
print(f"Scraped {len(results)} posts")

Example 2: Scrape with Comments

config = {
    "subreddit": "programming",
    "include_comments": True,
    "sort": "hot",
    "max_results": 10
}

results = scraper.scrape(config)

for post in results:
    print(f"Post: {post['title']}")
    print(f"Comments: {len(post.get('comments', []))}")

Example 3: Multiple Subreddits

subreddits = ["technology", "programming", "artificial"]

for subreddit in subreddits:
    config = {
        "subreddit": subreddit,
        "max_results": 25
    }
    results = scraper.scrape(config)
    scraper.export_to_json(results, f"{subreddit}_posts.json")

Example 4: With Proxy Configuration

config = {
    "subreddit": "technology",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"]
    },
    "max_results": 100
}

results = scraper.scrape(config)

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🔐 Proxy Support

This reddit scraper supports advanced proxy configurations to avoid rate limiting and IP bans.

Supported Proxy Types

Proxy Type	Description	Best For
RESIDENTIAL	Real user IP addresses	High-volume scraping
DATACENTER	Datacenter IP addresses	Fast, cost-effective scraping

Proxy Configuration

{
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Environment Variables

# .env file
APIFY_API_TOKEN=your_apify_token_here
PROXY_ENABLED=true
PROXY_GROUP=RESIDENTIAL

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⏱️ Rate Limiting

To ensure responsible usage and avoid bans, this reddit scraper includes built-in rate limiting:

Action	Rate Limit	Recommendation
API Requests	60/minute	Use proxy for higher limits
Post Scraping	100/minute	Enable delays between requests
Comment Scraping	50/minute	Use residential proxies

Rate Limit Configuration

scraper = RedditScraper(
    rate_limit=True,
    rate_limit_delay=1.0,  # seconds between requests
    max_retries=3
)

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🛠️ Troubleshooting

Common Issues

Issue	Solution
429 Too Many Requests	Enable proxy, increase delay between requests
403 Forbidden	Check subreddit privacy settings, use API credentials
Empty Results	Verify subreddit name, check sort/time_filter values
Connection Timeout	Enable proxy, check network connection
Invalid JSON Output	Validate input configuration format

Debug Mode

# Enable verbose logging
python reddit_scraper.py --subreddit technology --debug

# Check API status
python reddit_scraper.py --status-check

Log Files

Logs are saved in ./logs/scraper.log by default. Configure log level:

import logging
logging.basicConfig(level=logging.DEBUG)

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🤝 Contributing

We welcome contributions! Here's how you can help:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Development Setup

# Clone your fork
git clone https://github.com/yourusername/reddit-scraper.git

# Install dev dependencies
pip install -r requirements-dev.txt

# Run tests
pytest tests/

# Run linting
flake8 .
black .

seo keyword

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reddit scraper, reddit post scraper, subreddit scraper, reddit search scraper, reddit comments scraper, reddit user scraper, reddit data extractor, reddit api scraper, apify reddit scraper, social listening scraper, community analysis scraper, osint reddit scrape

Code Style

• Follow PEP 8 guidelines
• Add docstrings for all functions
• Write unit tests for new features
• Update documentation for changes

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