Reddit Author Scraper

Reconstruct complete digital personas from Reddit activity with forensic-level precision.

Extract comprehensive author intelligence for B2B research: complete post and comment history, karma forensics, trophy achievements, and moderator role detection. Get verified account status, multireddit collections, and temporal activity patterns—all in one unified dataset for recruitment, OSINT, and professional intelligence.

🤝 Support & Community

📧 Support: Contact Us 💬 Community: Telegram Group

🏆 Key Features

🕵️ Identity & Reputation Profiling

• 🎯 Digital Fingerprint: Captures core identity markers including Snoovatar, account creation date, verified status, and public bio.
• ⚖️ Karma Forensics: Splits reputation into Post karma (content creation) vs. Comment karma (discussion engagement) to reveal author behavior patterns.
• 🏆 Achievement Log: Catalogs every trophy and award with grant timestamps, providing a complete history of community recognition.
• 🛡️ Authority Detection: Automatically identifies moderation privileges across subreddits, flagging authors who hold influence in specific communities.

📊 Complete Activity Archive

• 📝 Full Post History: Extracts all author submissions with title, body, media URLs, engagement metrics, and subreddit context.
• 💬 Comment Intelligence: Harvests complete comment history with reply hierarchy, parent-child relationships, and engagement scores.
• 📈 Engagement Metrics: Captures upvotes, downvotes, net scores, crossposts, and weighted scores for every piece of content.
• 🏷️ Content Metadata: Includes flair text, NSFW flags, spoiler tags, original content markers, and indexability status.

👥 Community Mapping

• 🎯 Subreddit Analysis: Identifies all communities where the author is active with subscriber counts and community types.
• 📚 Multireddit Collections: Extracts custom multireddit feeds created by the author with visibility settings.
• ⏰ Temporal Patterns: ISO-formatted timestamps for account creation, posts, comments, and edits enable timeline reconstruction.
• 🔗 Cross-Reference Data: Includes duplicate post detection, crosspost counts, and reply level depth for network analysis.

🔍 Advanced Status Detection

• ✅ Verification Signals: Detects Reddit Gold status, employee badges, and verified email trophies to separate real accounts from bots.
• 🚫 Account Health: Identifies suspended accounts, archived content, locked threads, and hidden posts.
• 📌 Content Flags: Extracts pinned posts, stickied comments, and submitter-authored replies for context analysis.
• 🎨 Visual Assets: Captures Snoovatar images, post thumbnails, and media URLs for complete profile reconstruction.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Charged for Actor runtime. Cost depends on resource consumption during execution
User	$0.125	Charged for author profile extraction. Cost is a one-time fee per user for complete metadata
Post	$0.0058	Charged per post scraped. Includes title, content, author, votes, timestamps, and 40+ metadata fields
Comment	$0.00162	Charged per comment scraped. Includes author, text, votes, timestamps, reply hierarchy, and engagement data

Example Cost Calculation:

• Extracting 1 author profile with 100 posts and 500 comments
• Cost: $0.125 + (100 × $0.0058) + (500 × $0.00162) = $1.515 + minimal runtime fees

🌟 Why choose this Actor?

Built for recruiters, HR teams, OSINT researchers, and B2B intelligence professionals, this Actor transforms Reddit author profiles into structured, actionable intelligence.

Feature	Reddit Author Scraper	THINKPOL AI	Redective	RedditMetis	R00M 101
Pricing Model	✅ Pay per use	❌ Subscription	✅ Free (limited)	✅ Free	❌ Paid only
Data Depth	✅ Complete history	⚠️ AI inference	⚠️ Recent only	⚠️ Last 1000	✅ Full history
Karma Split	✅ Post + Comment	❌ Not available	❌ Not available	✅ Available	✅ Available
Trophy Data	✅ With timestamps	❌ Not available	❌ Not available	❌ Not available	❌ Not available
Moderator Roles	✅ Auto-detected	⚠️ AI guessed	✅ Detected	❌ Not available	✅ Detected
API Access	✅ Full REST API	❌ Web only	❌ Web only	❌ Web only	⚠️ Limited API
Batch Processing	✅ Unlimited users	❌ One at a time	❌ One at a time	❌ One at a time	⚠️ Limited batch
Multireddits	✅ Included	❌ Not available	❌ Not available	❌ Not available	❌ Not available
Reply Hierarchy	✅ Full parent-child tree	❌ Not available	⚠️ Flat list	⚠️ Flat list	✅ Full hierarchy
Export Format	✅ JSON/CSV/Excel	⚠️ PDF only	❌ Web view only	❌ Web view only	✅ JSON/CSV
Data Retention	✅ Permanent storage	⚠️ 30 days	❌ Real-time only	❌ Real-time only	⚠️ 90 days
Min. Cost	✅ $0.125	❌ $49/month	✅ Free	✅ Free	❌ $99/month

💻 Input Parameters

Parameter	Type	Required	Description
username	string	✅ Yes	Target Reddit username to analyze. Enter username only without 'u/' prefix (e.g., enter 'spez' for u/spez). Username is case-insensitive
max_posts	integer	✅ Yes	Maximum number of posts to extract from this author. Set to 0 to skip posts.
max_comments	integer	✅ Yes	Maximum number of comments to extract from this author. Set to 0 to skip comments.

📝 Example Input

{
  "username": "spez",
  "max_posts": 100,
  "max_comments": 500
}

📤 Output Structure

Field	Type	Description
processor	string	URL of the Apify actor that processed this data
processed_at	string	ISO 8601 timestamp when the data was scraped (format: YYYY-MM-DDTHH:MM:SS+00:00)
id	string	Unique Reddit user identifier (format: t2_xxxxx)
name	string	Username of the Reddit author (without u/ prefix)
snoovatar	string	URL of the user's Snoovatar avatar image
about	string	Public description/bio text from the user's profile
post_karma	integer	Total post karma earned by the author (content creation reputation)
comment_karma	integer	Total comment karma earned by the author (discussion engagement reputation)
show_snoovatar	boolean	Whether the user displays their Snoovatar publicly
created	string	ISO 8601 timestamp when the account was created (format: YYYY-MM-DDTHH:MM:SS+00:00)
is_gold	boolean	Whether the user has Reddit Gold/Premium subscription
is_mod	boolean	Whether the user is a moderator of any subreddit
is_employee	boolean	Whether the user is a Reddit employee (official staff badge)
is_suspended	boolean	Whether the user account is currently suspended
trophies	array	List of trophies earned by the user (includes name, icon URL, grant timestamp, and description)
moderated	array	List of subreddit names where the user has moderator privileges (format: r/subreddit)
multireddits	array	List of custom multireddit feeds created by the user with visibility settings
posts	array	Array of posts submitted by the author with full metadata and engagement metrics
comments	array	Array of comments made by the author with reply hierarchy and engagement data

Trophy Fields

Field	Type	Description
name	string	Name of the trophy (e.g., "15-Year Club", "Verified Email")
icon	string	URL of the trophy icon image
granted	string	ISO 8601 timestamp when the trophy was awarded
description	string	Description of the trophy and how it was earned

Multireddit Fields

Field	Type	Description
name	string	Name of the multireddit
description	string	Description of the multireddit's purpose
subreddits	array	List of subreddit names included in the multireddit
created	string	ISO 8601 timestamp when the multireddit was created
display_name	string	Display name shown to other users
path	string	URL path to access the multireddit
visibility	string	Visibility setting (public/private/hidden)

Post Fields

Field	Type	Description
subreddit	string	Name of the subreddit where the post was submitted
type	string	Type of subreddit (public/restricted/private)
subscribers	integer	Number of subscribers in the subreddit at time of extraction
id	string	Unique identifier of the post
author	string	Username of the post author
created	string	ISO 8601 timestamp when the post was created
edited	string	ISO 8601 timestamp when the post was last edited (null if never edited)
url	string	Direct link to the Reddit post
flair_text	string	Flair text displayed on the post
title	string	Title of the Reddit post
body	string	Text content of the post (selftext)
score	integer	Net score of the post (upvotes - downvotes)
upvotes	integer	Number of upvotes received
downvotes	integer	Number of downvotes received
crossposts	integer	Number of times the post was crossposted to other subreddits
archived	boolean	Whether the post is archived (no longer accepts votes/comments)
locked	boolean	Whether the post is locked (no new comments allowed)
stickied	boolean	Whether the post is stickied (pinned to top of subreddit)
pinned	boolean	Whether the post is pinned to the user's profile
hidden	boolean	Whether the post is hidden from the user's profile
over_18	boolean	Whether the post is marked as NSFW (Not Safe For Work)
spoiler	boolean	Whether the post contains spoilers
original	boolean	Whether the post is marked as original content
advertising	boolean	Whether the post was created from Reddit's advertising UI
indexable	boolean	Whether the post is indexable by search engines
crosspostable	boolean	Whether the post can be crossposted
thumbnail	string	URL of the post thumbnail image
media_url	string	URL of the media content (image/video) if different from post URL
no_follow	boolean	Whether the post has nofollow attribute for SEO
weighted_score	integer	Weighted score used by Reddit's algorithm
duplicates	array	List of URLs to duplicate posts in other subreddits
comments	array	Array of comments on the post (empty unless specifically requested)

Comment Fields

Field	Type	Description
id	string	Unique identifier of the comment
is_root	boolean	Whether this is a root-level comment (not a reply)
created	string	ISO 8601 timestamp when the comment was created
edited	string	ISO 8601 timestamp when the comment was last edited (null if never edited)
author	string	Username of the comment author
body	string	Text content of the comment
upvotes	integer	Number of upvotes received
downvotes	integer	Number of downvotes received
score	integer	Net score of the comment (upvotes - downvotes)
archived	boolean	Whether the comment is archived (no longer accepts votes/replies)
locked	boolean	Whether the comment is locked (no new replies allowed)
stickied	boolean	Whether the comment is stickied by moderators
submitter	boolean	Whether the comment author is the post submitter (OP)
parent_id	string	ID of the parent comment or post
reply_level	integer	Depth level of the comment in the reply tree (0 = root)
url	string	Direct link to the comment

📤 Example Output

{
  "processor": "https://apify.com/agentx/reddit-author-scraper?fpr=aiagentapi",
  "processed_at": "2025-11-08T08:45:11+00:00",
  "id": "t2_1w72",
  "name": "spez",
  "snoovatar": "https://i.redd.it/snoovatar/avatars/...",
  "about": "Just a guy who likes to code.",
  "post_karma": 154020,
  "comment_karma": 89302,
  "show_snoovatar": true,
  "created": "2005-06-06T00:00:00+00:00",
  "is_gold": true,
  "is_mod": true,
  "is_employee": true,
  "is_suspended": false,
  "trophies": [
    {
      "name": "15-Year Club",
      "icon": "https://www.redditstatic.com/awards2/15-year_club-40.png",
      "granted": "2020-06-06T00:00:00+00:00",
      "description": "Member for 15 years."
    },
    {
      "name": "Verified Email",
      "icon": "https://www.redditstatic.com/awards2/verified_email-40.png",
      "granted": "2005-06-06T00:00:00+00:00",
      "description": "Verified their email address"
    }
  ],
  "moderated": ["r/announcements", "r/reddit", "r/blog"],
  "multireddits": [
    {
      "name": "tech_news",
      "description": "Technology and startup news",
      "subreddits": ["r/technology", "r/programming", "r/startups"],
      "created": "2015-03-15T10:30:00+00:00",
      "display_name": "Tech News",
      "path": "/user/spez/m/tech_news",
      "visibility": "public"
    }
  ],
  "posts": [
    {
      "subreddit": "r/announcements",
      "type": "public",
      "subscribers": 153000000,
      "id": "1onqzwa",
      "author": "spez",
      "created": "2023-06-01T12:00:00+00:00",
      "edited": null,
      "url": "https://www.reddit.com/r/announcements/comments/1onqzwa/update_on_api_changes/",
      "flair_text": "Official",
      "title": "Update on API changes",
      "body": "We are making some changes to our API pricing...",
      "score": 4500,
      "upvotes": 5200,
      "downvotes": 700,
      "crossposts": 15,
      "archived": false,
      "locked": true,
      "stickied": true,
      "pinned": false,
      "hidden": false,
      "over_18": false,
      "spoiler": false,
      "original": true,
      "advertising": false,
      "indexable": true,
      "crosspostable": true,
      "thumbnail": "https://b.thumbs.redditmedia.com/...",
      "media_url": null,
      "no_follow": false,
      "weighted_score": 4850,
      "duplicates": [],
      "comments": []
    }
  ],
  "comments": [
    {
      "id": "nn12nh7",
      "is_root": true,
      "created": "2023-06-02T14:30:00+00:00",
      "edited": null,
      "author": "spez",
      "body": "We are working on it.",
      "upvotes": 150,
      "downvotes": 650,
      "score": -500,
      "archived": false,
      "locked": false,
      "stickied": false,
      "submitter": false,
      "parent_id": "t3_1onqzwa",
      "reply_level": 0,
      "url": "https://www.reddit.com/r/technology/comments/xyz/comment/nn12nh7/"
    }
  ]
}

🔌 Integrations

Seamlessly connect this actor to your existing pipelines via the Apify API.

🔗 Make.com Integration

Get Started with Make.com (1000 Free Credits) 🎁

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 the Apify actor page
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 the Apify actor page
3. Input JSON - Modify the parameters as needed

📚 API Documentation

• Python API - Complete Python client documentation with examples
• JavaScript API - Node.js and browser integration guide
• MCP API - Model Context Protocol integration

🚀 Performance Tips

💰 Cost Optimization

• Profile Only: If you just need karma and account metadata, set both max_posts and max_comments to 0. This costs only $0.125 per author.
• Selective Extraction: Set max_posts or max_comments to 0 if you don't need both to reduce costs significantly.
• Test First: Start with low values (10-20) to verify output quality before processing large batches.

⚡ Speed Optimization

• Disable Comments: Comment extraction is slower due to volume. Set max_comments to 0 if not critical for your use case.
• Parallel Runs: Analyze multiple authors simultaneously by starting separate runs to maximize throughput.
• Limit Extraction: Use max_posts and max_comments to control extraction volume and speed.

🛡️ Reliability Best Practices

• Valid Usernames: Ensure the username exists and is not deleted/suspended before running to avoid wasted costs.
• Public Profiles: Only public data is accessible; private or suspended accounts will return limited information.
• Automatic Rate Limiting: The Actor automatically manages connections to avoid rate limits and ensure reliable extraction.

📊 Data Quality Tips

• Trophy Analysis: Use trophies (especially "Verified Email") to verify account legitimacy and detect bot accounts.
• Karma Ratios: Compare post vs. comment karma to understand if an author is a content creator or a discussant.
• Mod Status: Always check the moderated array to see if the author holds influence in any communities.
• Timestamp Accuracy: All timestamps are in UTC ISO 8601 format for consistency.

❓ FAQ

What data can I extract from a Reddit author?

You can extract complete author profiles including: identity metadata (username, Snoovatar, bio, account age), reputation metrics (post karma, comment karma), achievement history (trophies with timestamps), moderator roles across subreddits, multireddit collections, complete post history with engagement metrics, and full comment history with reply hierarchy.

How many posts and comments can I extract?

You can extract up to the limits you set with max_posts and max_comments. The Actor extracts data across all sorting methods (new, top, hot, controversial) to ensure comprehensive coverage.

Are comments included with reply hierarchy?

Yes! Comments are extracted with full parent-child relationships, reply level depth, and root comment detection. This allows you to reconstruct complete conversation threads and analyze discussion patterns.

Can I extract data from private or suspended accounts?

No. The Actor can only access publicly available data. Suspended accounts will be flagged with is_suspended: true, and private accounts will return limited public information only.

How accurate is the karma data?

All karma data is extracted directly from Reddit's official data and is 100% accurate at the time of extraction. The Actor splits karma into post karma (content creation) and comment karma (discussion engagement) for detailed reputation analysis.

What output formats are available?

The Actor outputs data in JSON format by default. You can export results to CSV or Excel formats using Apify's dataset export features for further analysis in spreadsheet applications.

🏦 Business Use Cases

• 🔍 Candidate Research: Verify candidate credibility by analyzing their Reddit post history, karma, and community involvement before hiring decisions
• 👥 Influencer Vetting: Identify genuine subject-matter experts vs. promotional accounts using karma forensics and trophy analysis
• 📊 Competitive Intelligence: Monitor key voices in industry subreddits — track what experts in your market are saying
• 🎯 Lead Generation: Identify high-karma authors in niche communities as potential B2B prospects or partnership targets
• 🛡️ Trust & Safety: Detect bot accounts and inauthentic profiles through account age, trophy status, and karma ratio analysis
• 🔮 Thought Leadership Mapping: Build a database of domain experts across relevant subreddits to support outreach and PR campaigns

📚 Other Professional Intelligence Actors

🔍 Executive Job Market Intelligence Suite

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• LinkedIn Scraper - Executive Network Intelligence & Professional Talent Search
• Indeed Scraper - Mass Job Extraction & Universal Market Intelligence

📱 Professional Community Intelligence

• Reddit Searcher - Cross-Reddit Keyword Search & Content Discovery
• Subreddit Scraper - Targeted Subreddit Extraction & Community Analysis
• SubReddit Subscribers - Subreddit Subscriber Extraction & User Intelligence
• Telegram Data Finder - Telegram Profile Intelligence & Contact Discovery
• Telegram Group Members - Telegram Group Members & Community Analytics
• X Profile Scraper - X Profile Intelligence & User Analytics

🎥 Executive Content Intelligence

• All Video Scraper - Multi-Platform Video Download & Content Intelligence (1000+ platforms)
• Video Transcript - Universal Video Transcription & AI Training Data (1000+ platforms)
• YouTube Video Transcriber - YouTube Speech Transcription & Content Analysis
• TikTok Video Transcriber - TikTok Speech Transcription & Viral Content Analysis
• Live Stream Transcript - Real-Time Live Stream Transcription & Streaming Intelligence (1000+ platforms)
• Video to Social Post - AI Video Transformation & Multi-Platform Social Automation

🏆 Certifications & Trust

• ✅ Enterprise Ready - Used by Fortune 500 companies and HR/recruitment 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

🏷️ Reddit Author Scraper Keywords

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Last Updated: March 1, 2026