🕵️Reddit User Analyzer

Professional Reddit user intelligence collector with granular post/comment harvesting. Extract comprehensive Reddit user data including detailed profiles, complete post and comment history, karma trends, moderator activity, and community interactions. Perfect for brand monitoring, OSINT investigations, market research, influencer analysis, and trust & safety operations. Delivers structured JSON output with rich metadata including flairs, NSFW flags, crossposts, and vote statistics.

🤝 Support & Community

• 📧 Support: Contact us | 💬 Community: Telegram Group

🏆 Key Features

📊 Comprehensive Reddit User Intelligence

• 👤 Complete User Profiles – Extract full Reddit user profiles including ID, snoovatar, karma breakdown (post and comment karma), trophies, moderated subreddits, and multireddits with full metadata
• 📝 Flexible Content Collection – Choose to collect posts, comments, or both with simple boolean flags. Get all available posts and comments for comprehensive analysis
• 📈 Rich Metadata & Analytics – Capture detailed metadata including flairs, NSFW flags, crossposts, duplicate links, comprehensive vote statistics (upvotes, downvotes, scores), and engagement metrics
• 🕐 Chronological Data – Access complete post and comment history with timestamps, creation dates, and chronological ordering for timeline analysis
• 🔗 Community Interactions – Track user's community involvement including subreddit participation, moderator activity, and cross-community engagement patterns
• 📊 Structured JSON Output – Receive clean, structured JSON data ready for analysis, integration, or further processing with consistent schema
• 🔍 Content Details – Get full content bodies, URLs, permalinks, reply levels, parent relationships, and submission status for complete context

💻 Input Parameters

Parameter	Type	Required	Description	Example
username	string	✅	Reddit handle to inspect (omit u/, case-insensitive)	spez
posts	bool	✅	true to collect posts, false to skip	true
comments	bool	✅	true to collect comments, false to skip	false

📤 Output Structure

{
  "processor": "https://apify.com/nextapi/reddit-user-analyzer",
  "processed_at": "2025-11-07T08:15:22Z",
  "id": "1xy2ab",
  "name": "reddit_user",
  "snoovatar": "https://i.redd.it/xyz.png",
  "about": "AI tinkerer and mod of r/example1",
  "post_karma": 12845,
  "comment_karma": 56201,
  "is_gold": false,
  "is_mod": true,
  "is_employee": false,
  "is_suspended": false,
  "show_snoovatar": true,
  "created": "2017-04-11T12:04:18Z",
  "trophies": [
    {
      "name": "Verified Email",
      "icon": "https://www.redditstatic.com/icon.png",
      "granted": "2017-04-11T12:10:00Z",
      "description": "Email address verified"
    }
  ],
  "moderated": ["r/example1", "r/example2"],
  "multireddits": [
    {
      "name": "tech-watch",
      "description": "AI + ML news",
      "subreddits": ["r/ai", "r/ml"],
      "created": "2020-06-01T10:00:00Z",
      "visibility": "private",
      "path": "/user/reddit_user/m/tech-watch"
    }
  ],
  "posts": [
    {
      "id": "abc123",
      "subreddit": "r/machinelearning",
      "subreddit_type": "public",
      "title": "Transformer tricks",
      "created": "2025-10-30T21:05:11Z",
      "score": 412,
      "upvotes": 430,
      "downvotes": 18,
      "url": "https://www.reddit.com/r/machinelearning/comments/abc123/",
      "media_url": null,
      "flair_text": "Research",
      "crossposts": ["https://www.reddit.com/r/artificial/comments/def456/"],
      "over_18": false,
      "locked": false,
      "stickied": false
    }
  ],
  "comments": [
    {
      "id": "cmt789",
      "parent_id": "t3_abc123",
      "reply_level": 0,
      "body": "Great breakdown!",
      "author": "reddit_user",
      "created": "2025-10-31T05:12:44Z",
      "upvotes": 90,
      "downvotes": 5,
      "score": 85,
      "url": "https://www.reddit.com/r/machinelearning/comments/abc123/comment/cmt789",
      "locked": false,
      "stickied": false,
      "submitter": true
    }
  ]
}

📊 Output Fields Description

Field	Type	Description
processor	string	URL of the Apify actor that produced the record
processed_at	string	ISO timestamp when aggregation finished
id	string	Redditor unique ID
name	string	Username returned by Reddit
snoovatar	string	Snoovatar image URL
about	string	Public bio / description
post_karma	integer	Lifetime link karma
comment_karma	integer	Lifetime comment karma
is_gold	boolean	Reddit Premium membership flag
is_mod	boolean	Moderator indicator
is_employee	boolean	Reddit employee indicator
is_suspended	boolean	Suspension state
show_snoovatar	boolean	Indicates whether the snoovatar is displayed
created	string	Account creation timestamp (ISO 8601)
trophies	array	Trophy list with name, icon, granted timestamp
moderated	array	Communities the user moderates
multireddits	array	User-created multireddits with metadata
posts	array	Submission objects (empty if posts=false)
posts[].id	string	Submission ID
posts[].title	string	Post title
posts[].subreddit	string	Subreddit where it was posted
posts[].subreddit_type	string	Subreddit visibility state
posts[].created	string	Creation timestamp
posts[].score	integer	Net score
posts[].upvotes	integer	Upvote count
posts[].downvotes	integer	Downvote count
posts[].flair_text	string	Flair label
posts[].media_url	string	Direct media URL if different from permalink
posts[].crossposts	array	Duplicate/crosspost links
posts[].over_18	boolean	NSFW marker
posts[].locked	boolean	Locked status
posts[].stickied	boolean	Stickied flag
comments	array	Comment objects (empty if comments=false)
comments[].id	string	Comment ID
comments[].parent_id	string	Parent post/comment ID
comments[].reply_level	integer	Depth within the thread
comments[].body	string	Markdown body
comments[].author	string	Comment author
comments[].created	string	Creation timestamp
comments[].score	integer	Net score
comments[].upvotes	integer	Upvote count
comments[].downvotes	integer	Downvote count
comments[].url	string	Permalink
comments[].locked	boolean	Locked flag
comments[].stickied	boolean	Stickied flag
comments[].submitter	boolean	true if comment author is the original poster

🎯 Use Cases

🔍 OSINT & Digital Investigations

• User Background Research – Investigate Reddit users' complete posting history, comment patterns, and community involvement for background checks
• Account Verification – Verify user identity by analyzing posting history, karma trends, and account age
• Behavioral Analysis – Track user activity patterns, posting frequency, and engagement across different subreddits
• Network Mapping – Identify connections between users through comment interactions and community overlap

⭐ Influencer & Creator Research

• Creator Vetting – Analyze potential partners' complete Reddit history before collaboration deals
• Engagement Analysis – Evaluate creator's post performance, comment quality, and community reception
• Audience Understanding – Identify which communities creators are most active in and their influence level
• Content Safety Check – Screen for NSFW content, controversial posts, or problematic behavior before partnerships

💰 Brand Monitoring & Reputation Management

• Brand Mention Tracking – Monitor how specific Reddit users discuss your brand across their posts and comments
• Influencer Identification – Find Reddit users who frequently mention your brand or products
• Sentiment Analysis – Analyze user's overall sentiment towards your brand through their comment history
• Crisis Management – Track high-activity users who may be spreading negative information about your brand

🎯 Competitive Intelligence

• Competitor Research – Analyze competitor's official Reddit accounts or key personnel's Reddit activity
• Market Research – Study active Reddit users in your industry to understand customer pain points and preferences
• Trend Identification – Track what topics and communities your target users are engaging with
• Product Feedback Collection – Extract user feedback and suggestions from relevant Reddit users' posts

📊 Community & Market Analysis

• Subreddit Research – Identify which subreddits your target users are most active in for marketing opportunities
• Community Influence – Find users with high karma and engagement in specific communities
• Topic Analysis – Understand what topics and discussions your target users are interested in
• Engagement Patterns – Analyze when and how often users post to optimize engagement strategies

🛡️ Trust & Safety Operations

• Moderator Verification – Verify users' claims about being moderators by checking their moderated subreddits
• Account Authenticity – Detect suspicious accounts by analyzing posting patterns, karma distribution, and account behavior
• Content Moderation – Review user's complete history for policy violations or problematic content
• Investigation Support – Gather comprehensive user data for security investigations or compliance reviews

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.0001	Standard Apify runtime charge based on compute resources
User Profile	$0.125	Charged once per username after profile data is captured
Post	$0.0058	Per submission harvested with full metadata
Comment	$0.0016	Per comment harvested with full metadata

❓ FAQ

Q: Can I collect both posts and comments?

A: Yes—set both posts and comments to true. The actor bills each event separately and halts with a clear error if any billing attempt fails.

Q: How long does the scraping process take?

A: The scraping duration depends on the number of posts and comments the user has. Users with few posts and comments finish in under a minute. Users with many posts and/or comments take longer.

🏷️ Reddit User Analyzer

🔥 Search Terms : reddit scraper, reddit user analyzer, reddit osint, reddit user data extraction, reddit profile scraper, reddit comment scraper, reddit post extractor, reddit karma tracker, reddit user research tool, reddit account analyzer, reddit user intelligence, reddit data mining, reddit user background check, reddit influencer finder, reddit brand monitoring, reddit sentiment analysis, reddit user analytics, reddit osint tool, reddit user investigation, reddit monitoring api

💼 Use Case: osint brand-monitoring influencer-research user-research account-analysis sentiment-analysis market-research competitive-analysis reputation-tracking content-moderation trust-and-safety digital-investigations background-research user-profiling engagement-analytics community-analysis threat-monitoring account-verification creator-vetting social-intelligence