💬 Reddit Comments Scraper - Extract Comments & Discussions

Extract Reddit comments from subreddit streams with rich metadata, pagination, and advanced filtering. Perfect for sentiment analysis, market research, and content monitoring!

📋 Table of Contents

• 🚀 Features
• 🎯 Use Cases
• ⚡ Quick Start
• 📊 Input Parameters
• 📤 Output Format
• 🔧 Configuration
• 📈 Performance
• ❓ FAQ
• 🛠️ Troubleshooting
• 📞 Support

🚀 Features

💬 Comment Extraction Capabilities

• ✅ Subreddit Streams - Scrape live comment feeds from any subreddit
• ✅ Pagination Support - Extract multiple pages with automatic cursor management
• ✅ Batch Processing - Efficient data extraction with structured output

📊 Rich Metadata Extraction

• ✅ Comment Details - Author, content, scores, timestamps, permalinks
• ✅ Linked Post Information - Linked post title, subreddit, post ID, and link details
• ✅ User Data - Author names, flair information, and user status
• ✅ Engagement Metrics - Upvotes, downvotes, comment scores, and rankings
• ✅ Thread Structure - Parent-child relationships and reply hierarchies

🔄 Advanced Features

• ✅ Real-time Scraping - Get the latest comments as they're posted
• ✅ Cursor Pagination - Resume scraping from specific positions
• ✅ Error Handling - Robust retry logic and comprehensive error reporting
• ✅ Rate Limiting - Respectful API usage with built-in delays

🎯 Use Cases

Use Case	Description	Benefits
📈 Sentiment Analysis	Analyze public opinion on products, brands, or topics	Track brand sentiment, identify trends, measure public reaction
Market Research	Monitor discussions about competitors and industry trends	Competitive intelligence, product feedback, market insights
Content Monitoring	Track mentions and discussions across subreddits	Brand monitoring, crisis management, engagement tracking
Academic Research	Collect data for social media and communication studies	Large-scale data collection, discourse analysis, behavioral studies
🤖 AI Training Data	Gather conversational data for chatbots and NLP models	Training datasets, conversation patterns, language modeling
📊 Social Listening	Monitor community discussions and emerging topics	Trend identification, community insights, viral content tracking

⚡ Quick Start

1️⃣ Scrape Subreddit Comment Stream

{
  "subreddit": "technology",
  "maxPages": 5
}

2️⃣ Advanced Pagination

{
  "subreddit": "AskReddit",
  "maxPages": 10
}

📊 Input Parameters

Parameter	Type	Required	Description	Example
subreddit	String	✅	Subreddit name (without r/)	"technology", "AskReddit", "gaming"
maxPages	Integer	❌	Pages to scrape (1-50)	5 (default: 1)

🏷️ Popular Subreddits

Category	Subreddits	Description
🎮 Gaming	gaming, pcmasterrace, nintendo	Gaming discussions and news
💼 Business	entrepreneur, investing, stocks	Business and finance topics
🔬 Technology	technology, programming, apple	Tech news and discussions
🎭 Entertainment	movies, television, music	Entertainment content
📰 News	worldnews, news, politics	Current events and politics
🎨 Creative	art, photography, design	Creative content and feedback

📤 Output Format

💬 Comment Data Structure

{
  "type": "comments_batch",
  "comments": [
    {
      "comment_id": "abc123",
      "author": "username",
      "content": "This is a comment...",
      "score": 42,
      "created_utc": 1640995200,
      "depth": 0,
      "parent_id": null,
      "subreddit": "funny",
      "post_title": "Amazing post title",
      "post_id": "xyz789",
      "permalink": "/r/funny/comments/xyz789/title/abc123/"
    }
  ],
  "batch_number": 1,
  "total_batches": 3
}

� Summary Data Structure

{
  "type": "scraping_summary",
  "mode": "subreddit_comments",
  "subreddit": "technology",
  "total_comments_scraped": 250,
  "total_requests_made": 5,
  "pages_scraped": 5,
  "completed_at": "2024-01-01T12:00:00.000Z",
  "success": true
}

🔧 Configuration

📄 Pagination Settings

Pages	Comments	Use Case	Processing Time
1-3	50-150	Quick sampling	1-2 minutes
4-10	200-500	Medium research	3-5 minutes
11-25	500-1250	Large datasets	8-15 minutes
26-50	1250-2500	Comprehensive analysis	15-30 minutes

🎯 Scraping Modes

Mode	Description	Best For
Subreddit Stream	Extract live comments from a subreddit	Community monitoring, trend tracking

📈 Performance

⚡ Speed Metrics

• Processing Time: ~1-2 seconds per page
• Comments per Page: 25-50 comments typically
• API Response: Sub-second response times
• Batch Processing: Efficient data chunking

🔄 Reliability Features

• Automatic Retry Logic - Handles temporary API failures
• Rate Limiting - Respectful 1-second delays between requests
• Error Recovery - Continues processing despite individual failures
• Cursor Management - Automatic pagination handling

📊 Data Quality

• Complete Metadata - All available comment fields extracted
• Nested Structure - Preserves reply hierarchies and thread depth
• Timestamp Accuracy - UTC timestamps for precise timing
• Content Integrity - Raw comment text without modifications

❓ FAQ

Q: What types of Reddit content can I scrape?

A: You can scrape:

• Live comment streams from any public subreddit
• Comment metadata including scores, timestamps, and author info

Q: How many comments can I extract?

A: This depends on your configuration:

• Subreddit Stream: 25-50 comments per page, up to 50 pages (1250-2500 comments)

Q: Does this work with private subreddits?

A: No, this scraper only works with public subreddits and posts that are accessible without authentication.

Q: How do I handle large datasets?

A: The scraper automatically:

• Chunks data into manageable batches
• Provides pagination cursors for continuation
• Includes progress tracking and summaries

Q: What about Reddit's rate limits?

A: The scraper includes:

• Built-in 1-second delays between requests
• Automatic retry logic for failed requests
• Respectful API usage patterns

Q: Can I resume interrupted scraping?

A: Yes! Use the startCursor parameter with the cursor value from your previous run to continue where you left off.

🛠️ Troubleshooting

🚨 Common Issues

Issue	Cause	Solution
"Subreddit not found"	Private/banned subreddit	Check subreddit exists and is public
"No comments found"	Empty subreddit / low activity	Verify content exists, try different subreddit
"Request timeout"	Network issues	Retry the scraping, check internet connection

🔍 Debug Tips

1. Test URLs - Verify Reddit URLs work in browser first
2. Start Small - Begin with 1-2 pages before scaling up
3. Check Logs - Review actor run logs for detailed error messages
4. Validate Subreddits - Ensure subreddit names are correct (no r/ prefix)

⚠️ Best Practices

• Use reasonable page limits to avoid timeouts
• Monitor your Apify usage to stay within plan limits
• Respect Reddit's content policies and terms of service
• Consider data privacy when processing user-generated content

📞 Support

🆘 Need Help?

• 📧 Issues: Report bugs and feature requests through Apify Console
• 💬 Community: Join Apify Discord for community support
• 📖 Documentation: Comprehensive guides in Apify Docs
• 🎯 Best Practices: Optimization tips for large-scale scraping

🔗 Related Actor

• Reddit User Data Scraper
• Reddit Search Scraper
• Reddit Post Viewer

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