SubReddit Info Scraper - Subreddit Metadata Extraction & Community Intelligence API

Extract comprehensive subreddit intelligence with 35+ data fields per community — including governance rules, wiki documentation, sticky announcements, subscriber metrics, content permissions, moderation policies, and community settings. This API delivers structured community metadata for market research, competitive analysis, brand safety audits, and community intelligence pipelines.

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Why Choose This API

35+ Field Subreddit Intelligence with Governance Data

📜 Complete Governance Extraction Extract all community rules with priority ordering, violation reasons, and descriptions. Access wiki pages with edit history and contributor data.

📊 Comprehensive Community Metrics Subscriber counts, active users, weighted scores, content permissions (images, videos, polls, galleries), and community type classification.

🔒 Privacy & Safety Intelligence NSFW status, quarantine flags, age restrictions, advertiser settings, follower acceptance, and community review status for brand safety audits.

🌐 Community Classification Language detection, advertiser categories, public/private/restricted types, and original content tagging for content strategy analysis.

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Quick Start Guide

How to Extract Subreddit Intelligence in 3 Steps

Step 1: Configure Parameters

Enter the subreddit name (with or without r/ prefix, or full Reddit URL).

Step 2: Run the Actor

Click "Start" to begin community intelligence extraction.

Step 3: Access Structured Data

Download JSON dataset with 35+ community metadata fields, rules, wikis, and stickies.

Example Input

{
  "community": "apify"
}

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Input Parameters

Parameter	Type	Required	Description
🏘️ Community	String	Yes	Subreddit name — accepts apify, r/apify, or https://www.reddit.com/r/apify

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Output Data Schema

Each subreddit extraction returns comprehensive community intelligence:

Output Fields

Field	Type	Description
id	String	Unique Reddit community identifier
name	String	Display name of the community
about	String	Public description
description	String	Full community description
title	String	Header title
created	String	ISO 8601 creation timestamp
category	String	Advertiser category
type	String	Community type (public, private, restricted)
language	String	Language code
subscribers	Integer	Subscriber count
accounts_active	Integer	Active account count
icon	String	Community icon URL
banner	String	Banner image URL
over_18	Boolean	NSFW flag
quarantine	Boolean	Quarantine status
allow_images/videos/polls	Boolean	Content permission flags
restrict_posting/commenting	Boolean	Moderation settings
stickies	Array	Pinned post objects (id, title, url)
rules	Array	Community rules (priority, name, description, reason)
wikis	Array	Wiki pages (name, content, edited, edited_by)

Example Output

{
  "processor": "https://apify.com/agentx/subreddit-info-scraper?fpr=aiagentapi",
  "processed_at": "2025-01-15T09:25:42+00:00",
  "id": "2mfx56",
  "name": "apify",
  "about": "Apify is a full-stack platform for web scraping and browser automation.",
  "type": "public",
  "language": "en",
  "subscribers": 504,
  "over_18": false,
  "quarantine": false,
  "allow_images": true,
  "allow_videos": true,
  "restrict_posting": true,
  "rules": [
    {
      "priority": 0,
      "name": "Engage with consideration and respect.",
      "kind": "all",
      "description": "Be welcoming and open-minded."
    }
  ],
  "wikis": []
}

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Integration Examples

Python Integration Example

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = { "community": "apify" }

run = client.actor("7Ig3I8YcOQ6Rta5vH").call(run_input=run_input)
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items

for sub in dataset_items:
    print(f"r/{sub['name']} | {sub['subscribers']} subscribers | {sub['type']}")
    print(f"Rules: {len(sub.get('rules', []))} | Wikis: {len(sub.get('wikis', []))}")

JavaScript/Node.js Integration

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const input = { community: 'apify' };

const run = await client.actor("7Ig3I8YcOQ6Rta5vH").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

items.forEach(sub => {
  console.log(`r/${sub.name} | ${sub.subscribers} subscribers | ${sub.rules.length} rules`);
});

Actor ID for Platform Integration

7Ig3I8YcOQ6Rta5vH

Ⓜ️ 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

JSON-LD Metadata

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "SubReddit Info Scraper",
  "description": "Subreddit metadata extraction API with 35+ fields including governance rules, wiki documentation, and community intelligence",
  "applicationCategory": "Developer Tools",
  "operatingSystem": "Cloud",
  "url": "https://apify.com/agentx/subreddit-info-scraper?fpr=aiagentapi",
  "dateModified": "2026-04-21",
  "offers": {
    "@type": "Offer",
    "price": "0.115",
    "priceCurrency": "USD"
  }
}

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Pricing & Cost Calculator

Pay-Per-Profile Pricing

Event Type	Price	Description
Actor Start	$0.005	Per run initialization
Profile	$0.115	Per subreddit community extracted

Cost Examples

Single Subreddit Analysis:

• 1 × $0.115 = $0.115
• Total: ~$0.12

10 Competitor Communities:

• 10 × $0.115 = $1.15
• Total: ~$1.16

Monthly 50 Subreddit Monitoring:

• 50 × $0.115 = $5.75
• Total: ~$5.76/month

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Use Cases & Applications

Competitive Intelligence

Community Benchmarking Map competitor subreddits — subscriber counts, content policies, and governance structures to benchmark community health against your own.

Market Sizing Extract subscriber metrics and active user counts to quantify addressable audience in niche communities for market entry decisions.

Brand Safety & Due Diligence

Brand Association Audits Check quarantine status, NSFW flags, and advertising settings before associating your brand with Reddit communities for campaigns.

Community Policy Analysis Review posting restrictions, content permissions, and moderation rules to assess community quality before influencer partnerships.

Content & Audience Research

Content Strategy Analysis Analyze content permissions (images, videos, polls, galleries) and community rules to optimize content format decisions per subreddit.

Trend Forecasting Monitor community growth, governance changes, and sticky announcements as leading indicators of emerging topics in your industry.

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FAQ

What data fields are extracted per subreddit?

35+ fields including subscriber counts, creation date, content permissions, NSFW status, quarantine flags, rules, wikis, stickies, language, category, and moderation settings.

Are private communities supported?

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

Does the extraction include community rules and wikis?

Yes — complete rule sets with priority ordering, violation reasons, and descriptions, plus full wiki pages with content and edit history.

How accurate is the subscriber data?

All data is extracted in real-time from Reddit's public API, reflecting current values at the moment of extraction.

Can I monitor subreddits over time?

Yes. Schedule recurring runs to track subscriber growth, rule changes, and community governance evolution over time.

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SEO Keywords & Search Terms

Primary Keywords

subreddit scraper API, reddit community intelligence, subreddit metadata extraction, reddit governance data API, subreddit rules extractor, reddit community analytics

Long-Tail Keywords

extract subreddit metadata 35 fields rules wikis API, reddit community intelligence pipeline structured JSON, subreddit governance analysis brand safety

Industry Terms

community intelligence, subreddit analytics, reddit market research, community due diligence, brand safety audit, community governance extraction

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Trust & Certifications

• ✅ Enterprise Ready - Processing community intelligence at scale
• ✅ GDPR Compliant - EU data protection standards
• ✅ 35+ Fields - Comprehensive community metadata
• ✅ Regular Updates - Continuous maintenance for platform changes

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Legal & Compliance

Data Rights & Usage

All data is extracted from publicly available Reddit communities. Users are responsible for ensuring their use of extracted data complies with applicable laws and Reddit's Terms of Service.

Privacy Compliance

• GDPR: Compliant with EU General Data Protection Regulation. No personal data is stored beyond the extraction session.
• CCPA: Compliant with California Consumer Privacy Act requirements.

Platform Terms of Service

Users must review and comply with Reddit's Terms of Service and API Usage Policy regarding data extraction and usage.

Enterprise Support

For enterprise licensing, custom integrations, or compliance inquiries:

• Telegram: @AiAgentApi

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Support & Community

• 👥 Community: @Apify_Actor
• 👤 Contact Team: @AiAgentApi

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Last Updated: April 21, 2026