Reddit User Analyzer

Construct a complete digital persona from scattered Reddit activity.

Turn fragmented comments and posts into a coherent user profile. This tool performs deep forensic analysis on any Reddit account to reveal behavioral patterns, community influence, and engagement history that are invisible to the naked eye.

🌟 Why choose this Actor?

Engineered for digital forensics and audience intelligence, this is not just a scraper—it's a profiler. It reconstructs the user's journey across the platform to answer the question: "Who is this person really?"

Feature	Reddit User Analyzer	Standard Scrapers	Official API
Persona Mapping	✅ Full Identity Context	❌ Raw Text Only	✅ Full Access
Data Depth	✅ Deep Historical Archives	❌ Recent Only	⚠️ Rate Limited
Cost Model	✅ Pay-per-Result	⚠️ Monthly Subs	❌ High Enterprise Fees
Integration	✅ Instant API / JSON	⚠️ Coding Required	❌ Complex OAuth

💡 Unique Advantages

• Forensic Timeline: Rebuilds the user's activity chronologically to show evolution of interests over years.
• Influence Detection: Identifies not just where they post, but where they lead (moderator roles, high-karma communities).
• Credibility Signals: Extracts "Verified Email" badges, account age, and trophy case data to separate real humans from bots.

🏆 Key Features

👤 Identity & Reputation Profiling

• 🎯 Digital Fingerprint: Captures the core identity markers: Snoovatar, account creation date, verified status, and bio.
• ⚖️ Karma Forensics: Splits reputation into Post (content creation) vs. Comment (discussion) karma to reveal engagement style.
• 🏆 Achievement Log: Catalogs every trophy and award, providing a history of community recognition and tenure.
• 🛡️ Authority Check: Automatically detects moderation privileges, flagging users who hold power in specific subreddits.
• 📦 Complete Archive: Downloads the full available history of Posts and Comments, structured for analysis.

🎯 Use Cases

🕵️ Digital Investigations & OSINT

• Subject Profiling: Build a comprehensive dossier on a target user for background checks or due diligence.
• Credibility Verification: Assess the trustworthiness of a source by analyzing their account age and community standing.
• Bot Network Analysis: Identify coordinated behavior by comparing activity timelines and creation dates across multiple accounts.
• Influence Mapping: Determine which communities a subject controls or heavily influences.

🧠 Audience Intelligence

• Persona Development: Create detailed user personas based on real behavioral data rather than assumptions.
• Interest Graphing: Map out the constellation of subreddits a user frequents to understand their full range of interests.
• Lead Qualification: Score potential leads based on their engagement depth and community authority.
• Brand Affinity: See where your target audience spends their time and what content they value most.

🛡️ Community Safety

• Bad Actor Detection: Rapidly audit suspicious accounts for history of toxicity or spam across other communities.
• Ban Evasion Checks: Compare new accounts against known patterns of banned users.
• Mod Team Vetting: thoroughly vet potential moderators by reviewing their entire public history.
• Risk Scoring: Calculate risk levels based on account age, karma, and verified status.

🔬 Academic & Social Research

• Longitudinal Studies: Track how user behavior and language usage change over multiple years.
• Echo Chamber Analysis: Measure the diversity of communities a user participates in.
• Radicalization Pathways: Trace the progression of user activity through increasingly extreme communities.
• Social Capital Metrics: Quantify user influence using karma and trophy data.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Runtime charge. Depends on execution duration and resource consumption.
Profile	$0.125	One-time fee per user to extract full identity metadata (karma, trophies).
Post	$0.0058	Per-post charge. Includes title, body, media, and engagement metrics.
Comment	$0.00162	Per-comment charge. Includes body, subreddit, and reply context.

🧜 How it Works

💻 Input Parameters

Parameter	Type	Required	Description	Example
username	string	✅	Target Reddit username (no u/ prefix)	spez
posts	bool	✅	Set true to harvest user submissions	true
comments	bool	✅	Set true to harvest user comments	true

📤 Output Structure

{
  "processor": "https://apify.com/nextapi/reddit-user-analyzer",
  "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,
  "trophies": [
    {
      "name": "15-Year Club",
      "icon": "https://www.redditstatic.com/awards2/15-year_club-40.png",
      "description": "Member for 15 years."
    }
  ],
  "moderated": ["announcements", "reddit", "blog"],
  "posts": [
    {
      "id": "1onqzwa",
      "subreddit": "announcements",
      "title": "Update on API changes",
      "score": 4500,
      "created": "2023-06-01T12:00:00+00:00"
    }
  ],
  "comments": [
    {
      "id": "nn12nh7",
      "subreddit": "technology",
      "body": "We are working on it.",
      "score": -500,
      "created": "2023-06-02T14:30:00+00:00"
    }
  ]
}

📊 Output Fields Description

Field	Type	Description
processor	string	URL of the Apify actor that processed this data
processed_at	string	ISO 8601 formatted timestamp (UTC) when the data was processed
id	string	Unique identifier of the Reddit user
name	string	Username of the Reddit user
snoovatar	string	URL of the user's snoovatar image
about	string	Public description of the user
post_karma	integer	Total post karma of the user
comment_karma	integer	Total comment karma of the user
created	string	ISO 8601 formatted timestamp (UTC) when the account was created
is_gold	boolean	Whether the user has Reddit Gold
is_mod	boolean	Whether the user is a moderator
is_employee	boolean	Whether the user is a Reddit employee
trophies	array	Array of trophies earned by the user
moderated	array	Array of subreddits moderated by the user
posts	array	Array of posts submitted by the user
comments	array	Array of comments made by the user

Trophy Fields

Field	Type	Description
name	string	Name of the trophy
icon	string	URL of the trophy icon
description	string	Description of the trophy
granted	string	ISO 8601 formatted timestamp (UTC) when the trophy was given

Post Fields

Field	Type	Description
id	string	Unique identifier of the post
subreddit	string	Name of the subreddit where the post was made
title	string	Title of the Reddit post
body	string	Text content of the post
score	integer	Net score of the post
upvotes	integer	Number of upvotes
downvotes	integer	Number of downvotes
created	string	ISO 8601 formatted timestamp (UTC) when the post was created
url	string	Direct link to the Reddit post

Comment Fields

Field	Type	Description
id	string	Unique identifier of the comment
subreddit	string	Name of the subreddit where the comment was posted
body	string	Text content of the comment
score	integer	Net score of the comment
created	string	ISO 8601 formatted timestamp (UTC) when the comment was created
parent_id	string	ID of the parent comment or post
url	string	Direct link to the comment

🔌 Integrations

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

🆔 Actor ID:

OFnTh9yMuUwXPZe4e

Python Client

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("nextapi/reddit-user-analyzer").call(run_input={
    "username": "spez",
    "posts": True,
    "comments": True
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Node.js Client

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_API_TOKEN" });
const run = await client.actor("nextapi/reddit-user-analyzer").call({
  username: "spez",
  posts: true,
  comments: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

🦜 LangChain

You can also use this actor as a document loader in LangChain to power your RAG pipelines with Reddit user data.

🏗️ Metadata for Developers (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Reddit User Analyzer",
  "applicationCategory": "DeveloperApplication",
  "operatingSystem": "Cloud",
  "offers": {
    "@type": "Offer",
    "price": "0.00",
    "priceCurrency": "USD"
  },
  "description": "Advanced Reddit scraper for extracting user profiles, history, trophies, and karma stats with built-in rate limiting and proxy rotation."
}

🚀 Performance Tips

Optimize your runs for speed, cost, and reliability with these best practices:

💰 Cost Optimization

• Profile Only: If you just need karma and account age, disable posts and comments. This is the cheapest and fastest mode.
• Limit Scope: For very active users (10k+ comments), the run can be long. Ensure you need the full history before enabling it.
• Monitor Usage: Check the "Usage" tab to track compute units for heavy profiles.

⚡ Speed Optimization

• Disable Comments: Fetching comments is slower than posts due to volume. Disable if not critical.
• Parallel Runs: Analyze multiple users simultaneously by starting separate runs.
• Proxy Efficiency: The actor automatically rotates proxies to maintain optimal fetch speeds.

🛡️ Reliability Best Practices

• Valid Usernames: Ensure the username exists and is not deleted/suspended before running.
• Error Handling: The actor handles "User Not Found" gracefully, but your code should check for empty results.
• Rate Limits: We handle Reddit's rate limits automatically, but very aggressive scraping of a single user might still trigger temporary pauses.

📊 Data Quality Tips

• Trophy Analysis: Use trophies to verify account legitimacy (e.g., "Verified Email" trophy).
• Karma Ratios: Compare post vs. comment karma to understand if a user is a content creator or a discussant.
• Mod Status: Always check the moderated array to see if the user holds power in any communities.

❓ FAQ

Is it legal to scrape Reddit user profiles?

Yes, scraping publicly available profile data is generally considered legal, provided you respect personal data regulations (like GDPR/CCPA) and do not harm the website's infrastructure. This actor only accesses public profiles and respects Reddit's technical boundaries.

Can I scrape private or suspended accounts?

No. The actor can only access information that is publicly visible. Suspended or deleted accounts will return an error or limited data indicating their status.

Does this tool detect shadowbanned users?

If a user is shadowbanned, their profile page usually returns a 404 or a specific error. The actor will report this as "User not found" or similar, effectively indicating the status.

How do I handle users with millions of karma?

High karma doesn't always mean high volume (one viral post vs. thousands of small ones). The actor processes items page by page. For extremely active users, the run will simply take longer but will still complete successfully.

How are costs calculated?

Costs are based on the volume of data extracted: Profile (fixed fee), Post (per item), and Comment (per item). See the Pricing section for current rates. Formula: $0.125 + (Posts × $0.0058) + (Comments × $0.00162) + Runtime

⚖️ Legal & Compliance

This actor scrapes publicly available data only. It does not log in as a user, access private messages, or bypass authentication. You are responsible for adhering to Reddit's Terms of Service and applicable privacy laws (GDPR/CCPA) regarding the storage and processing of user data.

🏷️ Reddit User Analyzer

🔥 Search Terms: reddit user analyzer, reddit profile scraper, reddit user history scraper, reddit karma tracker, reddit background check tool, reddit influencer vetting, reddit mod checker, reddit account age checker, reddit trophy scraper, reddit user osint tool, reddit digital footprint analysis, reddit user metadata extractor, reddit activity log, reddit user export to json, analyze reddit user behavior, reddit comment scraper, reddit post history downloader, reddit user statistics, reddit audience intelligence, reddit lead generation

💼 Use Case: user-profiling background-checks influencer-marketing osint trust-and-safety recruitment social-research bot-detection reputation-analysis digital-forensics audience-analysis competitor-intelligence kyc risk-assessment lead-generation sentiment-analysis market-research brand-monitoring political-analysis threat-intelligence

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🤝 Support & Community

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