🏘️SubReddit Scraper - Posts & Comments

Subreddit Scraper 2025 - Extract Reddit posts from any subreddit. Extract posts at scale with complete metadata including post titles, content, author information, vote counts (upvotes, downvotes, score), timestamps (created, edited), engagement metrics, content score, media URLs, subreddit data (name, type, subscriber count), flair text, post status (archived, locked, stickied), and optional full comment threads - enabling comprehensive content collection from specific Reddit communities by sorting posts (new, hot, top, rising, controversial) for content monitoring, trend analysis, and social media intelligence.

🚀 Why Our Subreddit Scraper is the ULTIMATE Content Intelligence & Social Media Monitoring Engine

• 🎯 Targeted Subreddit Extraction - Extract posts from any specific Reddit subreddit by simply providing the subreddit name or URL
• 📊 Complete Data Extraction - Extract 40+ data fields per post including metadata, engagement metrics, timestamps, media URLs, and subreddit information
• 💬 Full Comment Threads - Optional extraction of complete comment threads with reply structure, threading information, and engagement data
• 🔄 Flexible Sorting - Sort posts by new, hot, top, rising, or controversial to get the most relevant content for your needs
• ⚡ Efficient Processing - Concurrent processing architecture with automatic account management and rate limit compliance

📥 Input Configuration

Start extracting Reddit content data today - No coding required!

1. 💬 Set Comments - Choose whether to extract comments from posts for comprehensive content analysis (e.g., true, false)
2. 📊 Set Max Posts - Choose maximum number of posts to extract for optimal data collection (e.g., 100, 1000)
3. 🔄 Set Sort By - Select sorting method for posts (e.g., "new", "hot", "top", "rising", "controversial")
4. 🎯 Enter Community - Enter the Reddit subreddit name you want to scrape (e.g., "askreddit", "technology", "programming")
5. 🚀 Start Processing - Watch our extraction engine harvest Reddit data in real-time with transparent pricing and progress tracking

Required Parameters

Parameter	Type	Description	Example
comments	boolean	Extract comments from the posts	true, false
max_posts	number	Maximum number of posts to extract	100, 1000
sort_by	string	Sorting method for posts	"new", "hot", "top", "rising", "controversial"
community	string	Reddit subreddit name to scrape (non-empty string)	"askreddit", "technology", "programming"

Sort By Options

• new - Sort by newest posts first (chronological order)
• hot - Sort by current popularity and engagement
• top - Sort by highest score (all-time top posts)
• rising - Sort by posts that are gaining traction quickly
• controversial - Sort by most controversial posts (high engagement, mixed votes)

Community Parameter Format

The community parameter accepts subreddit names in multiple formats:

• Simple name: askreddit, technology, programming
• With r/ prefix: r/askreddit, r/technology (the prefix will be automatically stripped)
• Full URL: https://www.reddit.com/r/askreddit/ (the subreddit name will be extracted automatically)

Example Input:

{
  "comments": true,
  "max_posts": 1000,
  "sort_by": "hot",
  "community": "askreddit"
}

📤 Output Data Format

Structured Reddit Post Data Schema

Each extracted Reddit post contains comprehensive content intelligence with the following fields:

Field	Type	Description
processor	string	URL of the Apify actor that processed this post
processed_at	string	ISO formatted timestamp when the post was scraped
subreddit	string	Name of the subreddit
subreddit_type	string	Type of the subreddit (public, private, etc.)
subreddit_subscribers	integer	Number of subscribers in the subreddit
id	string	Unique identifier of the Reddit post
author	string	Username of the post author
created	string	Timestamp when the post was created (YYYY-MM-DD HH:MM:SS)
edited	string	Timestamp when the post was last edited (YYYY-MM-DD HH:MM:SS)
link	string	Direct link to the Reddit post
flair_text	string	Flair text of the post
title	string	Title of the Reddit post
body	string	Text content of the post
score	integer	Net score of the post (upvotes - downvotes)
upvotes	integer	Number of upvotes
downvotes	integer	Number of downvotes
crossposts	integer	Number of crossposts
archived	boolean	Whether the post is archived
locked	boolean	Whether the post is locked
stickied	boolean	Whether the post is stickied
pinned	boolean	Whether the post is pinned
hidden	boolean	Whether the post is hidden
over_18	boolean	Whether the post is marked as NSFW
spoiler	boolean	Whether the post contains spoilers
original	boolean	Whether the post is original content
advertising	boolean	Whether the post was created from ads UI
indexable	boolean	Whether the post is robot indexable
crosspostable	boolean	Whether the post can be crossposted
thumbnail	string	URL of the post thumbnail
media_url	string	URL of the media content
no_follow	boolean	Whether the post has no follow attribute
content_score	integer	Reddit's content quality score for the post
duplicates	array	Array of duplicate post links
comments	array	Array of comment objects (if enabled)

Comment Data Schema

Each comment contains the following fields:

Field	Type	Description
id	string	Unique identifier of the comment
is_root	boolean	Whether this is a root comment
created	string	Timestamp when the comment was created (YYYY-MM-DD HH:MM:SS)
edited	string	Timestamp when the comment was last edited (YYYY-MM-DD HH:MM:SS)
author	string	Username of the comment author
body	string	Text content of the comment
upvotes	integer	Number of upvotes
downvotes	integer	Number of downvotes
score	integer	Net score of the comment (upvotes - downvotes)
archived	boolean	Whether the comment is archived
locked	boolean	Whether the comment is locked
stickied	boolean	Whether the comment is stickied
submitter	boolean	Whether the comment is from the post submitter
parent_id	string	ID of the parent comment
reply_level	integer	Depth level of the comment in the thread
link	string	Direct link to the comment

Example Output:

{
  "processor": "https://apify.com/agentx/subreddit-scraper?fpr=aiagentapi",
  "processed_at": "2025-01-15T08:42:33.456Z",
  "subreddit": "programming",
  "subreddit_type": "public",
  "subreddit_subscribers": 4200000,
  "id": "18x9m2k",
  "author": "DevEngineer2024",
  "created": "2025-01-15 07:15:22",
  "edited": null,
  "link": "https://www.reddit.com/r/programming/comments/18x9m2k/what_are_some_underrated_programming_languages",
  "flair_text": "Discussion",
  "title": "What are some underrated programming languages worth learning in 2025?",
  "body": "I've been working with Python and JavaScript for years, but I'm curious about languages that might be flying under the radar. What languages have you discovered that offer unique advantages or solve specific problems better than the mainstream ones?\n\nI'm particularly interested in:\n- Performance-oriented languages\n- Languages with interesting type systems\n- Domain-specific languages that might have broader applications",
  "score": 2847,
  "upvotes": 3120,
  "downvotes": 273,
  "crossposts": 12,
  "archived": false,
  "locked": false,
  "stickied": false,
  "pinned": false,
  "hidden": false,
  "over_18": false,
  "spoiler": false,
  "original": true,
  "advertising": false,
  "indexable": true,
  "crosspostable": true,
  "thumbnail": null,
  "media_url": null,
  "no_follow": false,
  "content_score": 92,
  "duplicates": [],
  "comments": [
    {
      "id": "k3p9n1x",
      "is_root": true,
      "created": "2025-01-15 07:28:45",
      "edited": null,
      "author": "RustEnthusiast",
      "body": "I'd strongly recommend looking into **Rust**. While it's getting more popular, it's still underrated for many use cases. The memory safety without garbage collection is incredible, and the type system catches bugs at compile time.\n\nAlso check out **Nim** - it compiles to C and has Python-like syntax with better performance.",
      "upvotes": 892,
      "downvotes": 23,
      "score": 869,
      "archived": false,
      "locked": false,
      "stickied": false,
      "submitter": false,
      "parent_id": null,
      "reply_level": 0,
      "link": "https://www.reddit.com/r/programming/comments/18x9m2k/what_are_some_underrated_programming_languages/k3p9n1x"
    }
  ]
}

Export Formats

• JSON - Complete structured data with all metadata
• Dataset API - Programmatic access via Apify Client
• Cloud Storage - Automatic upload to Apify Dataset with API access

🔌 Integration Guides

🆔 Actor ID (Copy for platforms):

ipw4MHKL6ZBj9pYeF

Ⓜ️ Make.com Setup:

1. Login to Make.com (Get 1000 Free Credits)
2. Add module "Run an Actor"
3. Turn 'Map' on - right side of the 'Actor*'
4. Paste Actor ID - from above
5. Click the '⟳ Refresh' - left side of Map
6. Input JSON* - Modify the parameters as needed
7. Set "Run synchronously" to YES
8. Add module "Get Dataset Items" - receive the result
9. In Dataset ID* select defaultDatasetId

🎱 N8N.io Setup:

1. Add 'Run an Actor and get dataset' - from the apify node
2. Actor → By ID → Paste Actor ID - from above
3. Input JSON - Modify the parameters as needed

💰 Subreddit Scraper API Pricing - Affordable & Transparent

Pay-Per-Event Model

Event Type	Price	Description
Actor Usage	$0.00001	Charged for Actor runtime. Cost depends on resource consumption during execution.
Post	$0.025	Posts extracted with complete metadata (comments, title, content, votes, etc.)
Comment	$0.0001	Comments extracted with complete metadata (author, text, votes, etc.)

Note: A minimum charge of $0.05 per run applies to maintain account infrastructure and prevent abuse, ensuring the service remains available for long-term operation.

Competitive Price Comparison

Feature	Subreddit Scraper	Zyte	Octoparse	Diffbot	Savings
Post Extraction Cost	$0.025/post ⭐	$0.055/post	$0.068/post	$0.075/post	55-67% cheaper
Platform Specialization	✅ Reddit Optimized ⭐	⚠️ Generic scraping	⚠️ Generic scraping	⚠️ Generic scraping	Platform Expert
Data Completeness	✅ 40+ Fields ⭐	18 fields	22 fields	25 fields	2x More Data
Comment Extraction	✅ Full Threads ⭐	⚠️ Limited	⚠️ Basic only	⚠️ Partial	Complete Coverage
Real-time Processing	✅ Live Updates ⭐	⚠️ Scheduled batches	⚠️ Manual trigger	⚠️ Queue-based	Always Current
Setup Complexity	✅ One-Click Setup ⭐	⚠️ Code required	⚠️ Visual builder	⚠️ API configuration	Easiest to Use
Data Quality	✅ 99.9% Accuracy ⭐	87% accuracy	82% accuracy	91% accuracy	Premium Quality

📈 Performance & Processing Capabilities

• High-Speed Data Extraction - Process 500-1,000 Reddit posts per minute with specialized focus on content categorization and posting patterns (speed depends on comment count)
• Optimized Processing - Intelligent handling designed for efficient data collection while respecting platform limits
• Global Community Coverage - All subreddits with optimizations for community variations, content types, and posting behaviors
• Scalable Architecture - Handle single subreddit scraping to enterprise-scale batch operations with 99.9% uptime
• Data Export Formats - JSON, structured data optimized for post format and social media analysis workflows
• Error Recovery - Smart retry mechanisms, failover handling, and automatic quality optimization for dynamic content structure
• Real-time Progress Monitoring - Live progress tracking with transparent cost calculation and extraction statistics

⁉️ Subreddit Scraper API Troubleshooting Guide

"No posts found" Error

• Verify the subreddit name is spelled correctly (e.g., "askreddit", not "ask_reddit")
• Check if the subreddit exists and is accessible (some subreddits may be private or banned)
• Try different sort methods (new, hot, top, rising, controversial) to get different post sets
• Some smaller subreddits may have limited posts - try a more popular subreddit
• Ensure the subreddit name format is correct: either just the name, "r/name", or full URL

Incomplete Comment Data

• Some posts may have locked or deleted comments - this is normal behavior
• Different subreddits have varying comment visibility settings
• Reddit comment data is more complete for popular and active posts

Data Quality Issues

• Post descriptions may vary significantly in quality on Reddit
• Some posts may be deleted or removed by moderators
• Author information may be unavailable for deleted accounts
• Comment extraction works best with active and unlocked posts

Performance Optimization

• Use specific subreddit names for targeted data collection
• Different sort methods may return different amounts of data (e.g., "top" may have more historical data than "new")
• Larger result sets require more processing time
• Comments extraction significantly increases processing time
• High-quality data extraction may take longer but provides better results
• Budget limits may stop processing mid-batch

🏦 How to Use Subreddit Scraper API for Business Growth

• 🔍 Brand Monitoring & Reputation Management - Track brand mentions across Reddit subreddits in real-time, monitor customer sentiment, identify potential PR crises early, and proactively manage brand reputation by analyzing discussions, reviews, and authentic user feedback before issues escalate
• 💬 Consumer Insights & Product Research - Gather genuine customer feedback and product reviews from relevant communities to understand user needs, pain points, and preferences, identify product improvement opportunities, and validate product ideas through authentic user discussions and experiences
• 📊 Competitive Intelligence & Market Analysis - Monitor competitor mentions, track industry discussions, analyze market trends, and gather competitive intelligence to inform strategic business decisions, identify market gaps, and stay ahead of industry developments
• 🎯 Content Marketing & Trend Discovery - Discover emerging trends and hot topics before they become mainstream by monitoring popular posts, tracking keyword frequency, analyzing engagement patterns, and identifying high-performing content topics to create relevant content that resonates with target communities
• 🔮 Sentiment Analysis & Opinion Mining - Analyze public opinion on products, services, brands, or topics by extracting and analyzing comments, votes, and discussion patterns to gauge overall sentiment, track sentiment changes over time, and understand public perception shifts
• 📈 Social Media Listening & Crisis Management - Monitor industry discussions, track mentions across multiple subreddits, detect early warning signals of potential issues, and enable rapid response to customer concerns, complaints, or emerging crisis situations in your industry or niche

🏆 Success Stories

"I manage digital marketing for a mid-size e-commerce company. When we launched a new product line, I started monitoring relevant Reddit communities to understand what our potential customers were really discussing. Within two weeks, I discovered a major pain point that none of our surveys had revealed. We completely redesigned our marketing messaging based on these insights, and our campaign conversion rate increased by 68%. The best part? We caught a potential customer service issue before it became a crisis." — Digital Marketing Manager

"As someone running a SaaS startup, we needed to prioritize features but had limited budget for user research. I started scraping product-related subreddits to see what features users were actually requesting. We identified three high-demand features that weren't on our roadmap. After implementing them, our user retention jumped 45% in the next quarter. This approach costs us a fraction of traditional user research methods." — Startup Founder

"I work in competitive intelligence for a consulting firm. One of our clients was considering entering a new market segment, but traditional market research was expensive and slow. We monitored industry-specific Reddit communities for three months and discovered that competitors were struggling with a specific customer pain point that wasn't being addressed. This intelligence helped our client position their product perfectly, and they gained 35% market share within the first year." — Business Strategy Consultant

"I'm a content creator managing multiple social media accounts. Finding trending topics before they explode is crucial for engagement. By monitoring tech and lifestyle subreddits, I've been able to create content around emerging topics 2-3 weeks before they hit mainstream. This early-mover advantage has doubled our average engagement rates and helped us grow our follower base by 85% in six months." — Content Marketing Specialist

"Working in PR for a consumer goods company, I've learned that Reddit discussions can make or break a product launch. Last year, we tracked sentiment across multiple subreddits before launching a new product. Early feedback showed mixed reactions to our packaging design. We made quick adjustments based on these insights, and when we finally launched, sentiment was overwhelmingly positive. This proactive approach saved us from what could have been a costly recall." — Public Relations Director

"I handle customer success for a B2B software company. After a service outage, we needed to understand the real impact on our customers. Traditional feedback channels weren't giving us the full picture. By monitoring relevant Reddit communities, we discovered specific use cases that were affected that we hadn't considered. We proactively reached out to those customers and offered solutions before they even contacted support. Our customer satisfaction scores actually improved after the incident because of this proactive approach." — Customer Success Manager

📚 Other Professional Intelligence Actors

🔍 Executive Job Market Intelligence Suite

• All Jobs Scraper - Multi-Platform Professional Job Data Extraction (Indeed, LinkedIn, Reddit)
• LinkedIn Scraper - Executive Network & Professional Recruitment Intelligence
• Indeed Scraper - Mass Hiring & Universal Job Market Intelligence

📱 Professional Communication Intelligence

• Subreddit Scraper - Subreddit Content Extraction & Social Media Monitoring API
• Telegram Data Finder - Executive Contact & Professional Channel Intelligence
• Telegram Downloader - Business Communication & Media Intelligence Extraction
• Telegram Group Members - Professional Network Member Extraction & Analysis
• X Profile Scraper - X (Twitter) User Intelligence & Profile Analytics

🎥 Executive Content Intelligence

• All Video Scraper - Professional Video Content Download & Leadership Analysis (1000+ platforms)
• Video Transcript - Universal Content Intelligence & Multimodal AI Training (1000+ platforms)
• YouTube Video Transcriber - Executive Speech Analysis & Professional Content Transcription
• TikTok Video Transcriber - Gen Z Content Intelligence & Social Media Analysis
• TikTok Live Transcriber - Advanced Live Stream Recording & AI-Powered Transcription
• Live Stream Transcript - Real-Time Speech-to-Text Solution for 1000+ Streaming Platforms
• Video to Social Post - AI-Powered Video Content Transformation & Multi-Platform Social Media Automation

🏆 Certifications & Trust

• ✅ Enterprise Ready - Used by Fortune 500 companies and content marketing agencies
• ✅ GDPR Compliant - EU data protection standards and privacy regulations
• ✅ High Availability - 99.9% uptime with reliable cloud infrastructure
• ✅ Regular Updates - Continuous maintenance for platform changes and new features

🏷️ Subreddit Scraper Keywords

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