SubReddit Info Scraper

Extract comprehensive subreddit intelligence with 35+ data points per community.

Unlock complete community intelligence for B2B research: governance rules, wiki documentation, sticky announcements, and detailed community settings. Get subscriber counts, content permissions, moderation policies, and community metadata—all in one unified dataset for market research, competitive analysis, and community intelligence.

🤝 Support & Community

📧 Support: Contact Us 💬 Community: Telegram Group

🏆 Key Features

📋 Community Governance & Policy

• 📜 Complete Rule Sets: Extract all community rules with priority ordering, violation reasons, and detailed descriptions.
• 📚 Wiki Documentation: Access full wiki pages including content, edit history, and contributor information.
• 📌 Sticky Posts: Capture pinned announcements with titles and direct links for community updates.
• ⚖️ Moderation Settings: Reveal posting restrictions, comment permissions, and content approval policies.

📊 Comprehensive Community Data

• 👥 Audience Metrics: Subscriber counts, active users, and community growth indicators.
• 🎨 Visual Assets: Community icons, banner images, and branding elements with direct URLs.
• 🏷️ Content Permissions: Image, video, gallery, poll, and talk permissions for content strategy analysis.
• 📅 Historical Data: Community creation dates and establishment timeline.

🔒 Privacy & Safety Intelligence

• 🔞 Content Ratings: NSFW status, quarantine flags, and age-restriction indicators.
• 🛡️ Safety Settings: Discover settings, follower acceptance, and community review status.
• 🎯 Content Controls: Original content tags, prediction features, and advertising settings.
• 📺 Media Policies: Video, image, gallery, and video GIF permission status.

🌐 Community Classification

• 🗣️ Language Detection: Primary community language for localization and market strategies.
• 📂 Category Assignment: Advertiser categories and community classification.
• 🔓 Access Levels: Public, private, or restricted community types.
• ⭐ Quality Metrics: Weighted scores and community health indicators.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Charged for Actor runtime, proxy and storage. Cost depends on resource consumption during execution
Profile	$0.25	Charged for subreddit profile extraction. Cost depends on successful community data retrieval

Example Cost Calculation:

• Extracting 10 subreddit profiles
• Cost: (10 × $0.25) = $2.50 + runtime fees

🌟 Why choose this Actor?

Built for B2B intelligence teams, market researchers, and competitive analysts, this Actor transforms Reddit communities into structured, actionable intelligence.

Feature	SubReddit Info Scraper	Standard Scrapers	Reddit API
Pricing Model	✅ Pay per use	⚠️ Subscription	❌ Complex OAuth
Data Depth	✅ 35+ fields	⚠️ 10-15 fields	✅ Full access
Rules & Wikis	✅ Complete	❌ Not available	✅ Available
Setup Time	✅ Instant	⚠️ Template req.	❌ OAuth setup
Governance	✅ Full policy data	❌ Not supported	⚠️ Limited
Min. Cost	✅ $0.25	⚠️ $50+/month	❌ Free but slow

💻 Input Parameters

Parameter	Type	Required	Description
community	string	✅ Yes	Subreddit name (without r/ prefix). Supports formats: https://www.reddit.com/r/apify or just apify

📝 Example Input

{
  "community": "apify"
}

📤 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 processed (UTC)
id	string	Unique identifier of the Reddit community
name	string	Display name of the Reddit community
about	string	Public description of the community
description	string	Full description of the community
title	string	Header title of the community
created	string	ISO 8601 timestamp when the community was created (UTC)
category	string	Advertiser category of the community
type	string	Type of the subreddit (public, private, restricted, etc.)
language	string	Language code of the community
subscribers	integer	Number of subscribers in the community
weighted_score	integer	Weighted score of the community
accounts_active	integer	Number of active accounts in the community
icon	string	URL of the community icon
banner	string	URL of the community banner image
over_18	boolean	Whether the community is marked as NSFW
hide_ads	boolean	Whether ads are hidden in the community
show_media	boolean	Whether media is shown in the community
quarantine	boolean	Whether the community is quarantined
allow_images	boolean	Whether images are allowed in the community
allow_videos	boolean	Whether videos are allowed in the community
allow_videogifs	boolean	Whether video GIFs are allowed in the community
allow_galleries	boolean	Whether galleries are allowed in the community
allow_polls	boolean	Whether polls are allowed in the community
allow_talks	boolean	Whether talks are allowed in the community
allow_discovery	boolean	Whether discovery is allowed in the community
allow_predictions	boolean	Whether predictions are allowed in the community
original_tag	boolean	Whether original content tag is enabled
accept_followers	boolean	Whether the community accepts followers
restrict_posting	boolean	Whether posting is restricted in the community
restrict_commenting	boolean	Whether commenting is restricted in the community
community_reviewed	boolean	Whether the community is reviewed
stickies	array	Array of sticky posts in the community
rules	array	Array of community rules
wikis	array	Array of wiki pages in the community

Stickies Fields

Field	Type	Description
id	string	Unique identifier of the sticky post
title	string	Title of the sticky post
url	string	Direct link to the sticky post

Rules Fields

Field	Type	Description
priority	integer	Priority order of the rule
created	string	ISO 8601 formatted timestamp (UTC) when the rule was created
name	string	Short name of the rule
kind	string	Type of the rule
description	string	Full description of the rule
reason	string	Violation reason for the rule

Wikis Fields

Field	Type	Description
name	string	Name of the wiki page
edited	string	ISO 8601 formatted timestamp (UTC) when the wiki page was last edited
edited_by	string	Username of the user who last edited the wiki page
content	string	Markdown content of the wiki page

📤 Example Output

{
  "processor": "https://apify.com/agentx/subreddit-info-scraper?fpr=aiagentapi",
  "processed_at": "2026-01-01T09:25:42+00:00",
  "id": "2mfx56",
  "name": "apify",
  "about": "Apify is a full-stack platform where developers build, deploy, and publish web scraping and browser automation tools.",
  "description": "Apify is a service to run docker images in the cloud.",
  "title": "",
  "created": "2020-04-30T12:52:01+00:00",
  "category": "",
  "type": "public",
  "language": "en",
  "subscribers": 504,
  "weighted_score": null,
  "accounts_active": null,
  "icon": "https://styles.redditmedia.com/t5_2mfx56/styles/communityIcon_8ql54rivrkhf1.png",
  "banner": "https://styles.redditmedia.com/t5_2mfx56/styles/bannerBackgroundImage_u9e79hz76zyf1.png",
  "over_18": false,
  "hide_ads": false,
  "show_media": true,
  "quarantine": false,
  "allow_images": true,
  "allow_videos": true,
  "allow_videogifs": true,
  "allow_galleries": true,
  "allow_polls": true,
  "allow_talks": false,
  "allow_discovery": true,
  "allow_predictions": false,
  "original_tag": false,
  "accept_followers": true,
  "restrict_posting": true,
  "restrict_commenting": true,
  "community_reviewed": false,
  "stickies": [
    {
      "id": "1on7vt0",
      "title": "The frontier is open: earn your share of our $1M prize pool!",
      "url": "https://www.reddit.com/r/apify/comments/1on7vt0/..."
    }
  ],
  "rules": [
    {
      "priority": 0,
      "created": "2025-09-26T19:16:18+00:00",
      "name": "Engage with consideration and respect.",
      "kind": "all",
      "description": "Be welcoming and open-minded. Be respectful. Be empathetic.",
      "reason": "Engage with consideration and respect."
    }
  ],
  "wikis": []
}

🔌 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* - Add subreddit name
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 - Add subreddit name

📚 API Documentation

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

🚀 Performance Tips

💰 Cost Optimization

• Test First: Start with 1-2 subreddits to verify output quality before processing large batches
• Batch Processing: Extract multiple subreddits in separate runs to track costs per community
• Monitor Usage: Check the Apify Console's usage tab for real-time cost tracking

⚡ Speed Optimization

• Public Communities: Public subreddits load faster than restricted or private ones
• Parallel Runs: Process multiple subreddits simultaneously to maximize efficiency
• Peak Hours: Avoid Reddit's peak traffic hours (9 AM - 5 PM EST) for faster response times

🛡️ Data Quality Tips

• Verify Names: Ensure subreddit names are correct and publicly accessible before running
• Recent Data: Community metadata updates frequently; schedule regular extractions for accuracy
• Complete Context: Rules and wikis provide essential context for community governance analysis

❓ FAQ

What data can I extract from a subreddit?

Comprehensive community intelligence: governance rules, wiki documentation, sticky announcements, subscriber metrics, content permissions, privacy settings, and community metadata — a complete 360° view of any public subreddit.

Are private communities supported?

No, only public communities are accessible. Private or restricted subreddits require authentication.

How accurate is the data?

All data is extracted directly from Reddit's public API. Metrics like subscriber counts and active users reflect real-time values at the moment of extraction.

How long does processing take?

• 1 subreddit: 5-15 seconds
• 10 subreddits: 1-2 minutes
• 50 subreddits: 5-10 minutes

🏦 Business Use Cases

• 🔍 Competitive Intelligence: Map competitor communities — subscriber counts, content policies, and governance structure to benchmark against your own
• 📊 Market Research: Identify target audience communities, analyze their rules and content permissions to understand platform dynamics
• 🎯 Community Due Diligence: Audit subreddit health before launching brand campaigns or influencer partnerships
• 🛡️ Brand Safety: Check quarantine status, NSFW flags, and advertising settings before brand association
• 📈 Audience Sizing: Extract subscriber metrics and active user counts to quantify addressable market in niche communities
• 🔮 Trend Forecasting: Monitor community growth and governance changes as leading indicators of emerging topics

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🎥 Executive Content Intelligence

• All Video Scraper - Multi-Platform Video Download & Content Intelligence (1000+ platforms)
• Video Transcript - Universal Video Transcription & AI Training Data
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🏆 Certifications & Trust

• ✅ Enterprise Ready - Used by Fortune 500 companies and market research teams
• ✅ 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

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💼 Business & Use Case Keywords: subreddit competitive intelligence reddit community market research subreddit audience sizing reddit brand safety check community due diligence subreddit governance analysis reddit policy research subreddit social listening reddit audience research community content strategy subreddit moderation analysis reddit community health metrics subreddit trend research reddit reputation management community crisis monitoring

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Last Updated: March 1, 2026