Reddit Community Analyzer

Map any subreddit's DNA in seconds.

Don't just scrape posts—capture the full context. Get identity metadata, policy docs, rules, wikis, and complete comment trees enriched with vote telemetry. Stop guessing and start understanding exactly what is happening inside your target communities.

🌟 Why choose this Actor?

Built for deep community analysis, this Actor goes beyond simple scraping to provide a holistic view of a subreddit's "DNA".

Feature	Reddit Community Analyzer	Standard Scrapers	Official API
Comment Trees	✅ Full Hierarchical Trees	❌ Flat / Partial	⚠️ Rate Limited
Metadata	✅ Rules, Wikis, Stickies	❌ Basic Info Only	✅ Full Access
Cost Efficiency	✅ Pay-per-Result	⚠️ Monthly Subs	❌ High Enterprise Fees
Ease of Use	✅ No-Code / API	⚠️ Coding Required	❌ Complex OAuth

💡 Unique Advantages

• Complete Context: Don't just get posts; get the rules they break and the wikis they reference.
• Engagement Signals: Granular upvote/downvote splits and cross-post data.
• Resilient Architecture: Uses Enterprise-Grade Infrastructure and intelligent concurrency to ensure reliable data collection at scale.

🏆 Key Features

📊 Comprehensive Subreddit Intelligence

• 🎯 One-Stop Intelligence Hub: Stop piecing together data. Get everything in one run: metadata, rules, wikis, stickies, posts, and full comment trees.
• 📊 Zero-Gap Post Collection: Harvest every submission, not just the popular ones. Captures titles, bodies, media, and status flags (NSFW, archived) without omission.
• 🌳 Hierarchical Comment Trees: Preserves the full conversation structure (parent-child relationships). Essential for sentiment analysis that relies on reply context.
• 📋 Governance & Policy Data: The only scraper that extracts Rules, Wikis, and Stickies—giving you the "laws of the land" for every community.
• 📈 Granular Engagement Metrics: Goes beyond simple scores. Get precise Upvote/Downvote splits, crosspost counts, and award data to measure true virality.

🎯 Use Cases

💼 Business Intelligence & Market Research

• Audience Discovery: Uncover target demographics and interests by analyzing subscriber overlap and engagement patterns.
• Voice of Customer: Detect pain points and feature requests directly from user discussions in niche communities.
• Competitor Monitoring: Track rival-owned communities for launch updates, policy shifts, and user sentiment.
• Trend Spotting: Identify emerging themes in early-adopter subreddits before they hit the mainstream.

📈 Social Media Intelligence & Analytics

• Viral Content Detection: Spot rising trends in high-volume subreddits like r/AskReddit or r/technology early.
• Community Growth Tracking: Measure subscriber velocity and active user ratios to understand community health.
• Engagement Benchmarking: Analyze vote splits and crosspost data to define what "success" looks like in your niche.
• Influence Mapping: Discover related subreddits and key opinion leaders through crosspost analysis.

💰 Brand Monitoring & Reputation Management

• Reputation Defense: Catch negative sentiment early by monitoring brand keywords and community reactions.
• Sentiment Analysis: Feed raw comment trees into NLP models for granular opinion mining and brand perception tracking.
• Crisis Alerting: Instant visibility into stickied mod posts or sudden spikes in activity that could signal a crisis.
• Campaign Impact: Measure pre/post-campaign engagement shifts within specific communities to prove ROI.

🎓 Academic Research & Data Science

• Sociological Data: High-fidelity datasets for studying online behavior, tribalism, and social dynamics.
• LLM Training Corpora: Clean, structured conversational data for fine-tuning language models and sentiment engines.
• Interaction Networks: Build reply graphs to study information flow, echo chambers, and polarization.
• Policy Evolution: Track how community rules and norms change over time by analyzing historical metadata.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Runtime charge. Depends on execution duration and resource consumption.
Profile	$0.419	One-time fee per run to extract community metadata (rules, wikis, etc.).
Post	$0.0048	Per-post charge. Includes full metadata: title, body, media, and vote metrics.
Comment	$0.0012	Per-comment charge. Includes full metadata: author, text, depth, and votes.

🧜 How it Works

💻 Input Parameters

Parameter	Type	Required	Description	Example
community	string	✅	Target subreddit name (no r/ prefix)	apify
posts	bool	✅	Set true to harvest submissions	true
comments	bool	✅	Set true to harvest full comment trees	false

📤 Output Structure

{
  "processor": "https://apify.com/nextapi/reddit-community-analyzer",
  "processed_at": "2025-11-08T08:45:11+00:00",
  "id": "2mfx56",
  "name": "apify",
  "title": "",
  "about": "Apify is a full-stack platform where developers build, deploy, and publish\nweb scraping and browser automation tools. Every month, we process billions of web pages for customers ranging from small startups to Fortune 500 companies.",
  "description": "Apify is a service to run docker images in the cloud. It is primarily used for web scraping and crawling with headless Chrome and Puppeteer, but can handle a wide variety of tasks. Apify also maintains Apify SDK, an open-source library for web scraping and crawling in JavaScript.",
  "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?width=256&s=41dd5fc0cd8ca74d586161c8d4a601f635962323",
  "banner": "https://styles.redditmedia.com/t5_2mfx56/styles/bannerBackgroundImage_u9e79hz76zyf1.png?width=4000&s=d58216945c179b399489b50ef88d36a09c2939dc",
  "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/the_frontier_is_open_earn_your_share_of_our_1m/"
    }
  ],
  "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": [],
  "posts": [
    {
      "id": "1onqzwa",
      "author": "deadadventure",
      "created": "2025-11-03T23:00:32+00:00",
      "edited": "1970-01-01T00:00:00+00:00",
      "url": "https://www.reddit.com/r/apify/comments/1onqzwa/built_a_functional_youtube_video_trimmer/",
      "subreddit": "apify",
      "flair_text": "Discussion",
      "title": "Built A Functional YouTube Video Trimmer",
      "body": "Been trying these past few days to find a functional actor that is able to download a YouTube video and trim it using ffmpeg…\n\nBut with all my luck, the ones I tried are not working!\n\nSome don't have proxies enabled, some do but their trimming isn't working.\n\nSo I sat down and made myself a functional YouTube trimmer.",
      "score": 3,
      "upvotes": 3,
      "downvotes": 0,
      "crossposts": 0,
      "archived": false,
      "locked": false,
      "stickied": false,
      "pinned": false,
      "hidden": false,
      "over_18": false,
      "spoiler": false,
      "original": false,
      "advertising": false,
      "indexable": true,
      "crosspostable": false,
      "thumbnail": "self",
      "media_url": null,
      "no_follow": false,
      "weighted_score": null,
      "duplicates": [],
      "comments": [
        {
          "id": "nn12nh7",
          "is_root": true,
          "created": "2025-11-04T08:52:41+00:00",
          "edited": "1970-01-01T00:00:00+00:00",
          "author": "beefcutlery",
          "body": "Put it out there and see. My experience with publishing an actor was so smooth that it'd be maybe an hour out of your day to wrap it and publish.",
          "upvotes": 2,
          "downvotes": 0,
          "score": 2,
          "archived": false,
          "locked": false,
          "stickied": false,
          "submitter": false,
          "parent_id": "1onqzwa",
          "reply_level": 0,
          "url": "https://www.reddit.com/r/apify/comments/1onqzwa/built_a_functional_youtube_video_trimmer/nn12nh7/"
        }
      ]
    }
  ]
}

📊 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 community
name	string	Display name of the Reddit community
title	string	Header title of the community
about	string	Public description of the community
description	string	Full description of the community
created	string	ISO 8601 formatted timestamp (UTC) when the community was created
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 currently active accounts (online users)
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
posts	array	Array of posts from 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

Wiki 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

Post Fields

Field	Type	Description
id	string	Unique identifier of the post
author	string	Username of the post author
created	string	ISO 8601 formatted timestamp (UTC) when the post was created
edited	string	ISO 8601 formatted timestamp (UTC) when the post was last edited
url	string	Direct link to the Reddit post
subreddit	string	Name of the subreddit
flair_text	string	Flair text of the post
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
crossposts	integer	Number of crossposts
archived	boolean	Whether the post is archived
locked	boolean	Whether the post is locked
stickied	boolean	Whether the post is stickied
pinned	boolean	Whether the post is pinned
hidden	boolean	Whether the post is hidden
over_18	boolean	Whether the post is marked as NSFW
spoiler	boolean	Whether the post contains spoilers
original	boolean	Whether the post is original content
advertising	boolean	Whether the post was created from ads UI
indexable	boolean	Whether the post is robot indexable
crosspostable	boolean	Whether the post can be crossposted
thumbnail	string	URL of the post thumbnail
media_url	string	URL of the media content
no_follow	boolean	Whether the post has no follow attribute
weighted_score	integer	Weighted score of the post
duplicates	array	Array of duplicate post links
comments	array	Array of comments on the post

Comment Fields

Field	Type	Description
id	string	Unique identifier of the comment
is_root	boolean	Whether this is a root comment
created	string	ISO 8601 formatted timestamp (UTC) when the comment was created
edited	string	ISO 8601 formatted timestamp (UTC) when the comment was last edited
author	string	Username of the comment author
body	string	Text content of the comment
upvotes	integer	Number of upvotes
downvotes	integer	Number of downvotes
score	integer	Net score of the comment
archived	boolean	Whether the comment is archived
locked	boolean	Whether the comment is locked
stickied	boolean	Whether the comment is stickied
submitter	boolean	Whether the comment is from the post submitter
parent_id	string	ID of the parent comment
reply_level	integer	Depth level of the comment in the thread
url	string	Direct link to the comment

🔌 Integrations

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

🆔 Actor ID:

EMV1QDp4tfmdUWeo5

Python Client

from apify_client import ApifyClient

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

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-community-analyzer").call({
  community: "technology",
  posts: true,
  comments: false,
});

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 data.

🏗️ Metadata for Developers (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Reddit Community Analyzer",
  "applicationCategory": "DeveloperApplication",
  "operatingSystem": "Cloud",
  "offers": {
    "@type": "Offer",
    "price": "0.00",
    "priceCurrency": "USD"
  },
  "description": "Advanced Reddit scraper for extracting posts, comments, rules, and community metadata with built-in rate limiting and proxy rotation."
}

🚀 Performance Tips

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

💰 Cost Optimization

• Start Small: Test with posts=true and comments=false on a small subreddit before scaling up.
• Monitor Compute Units: Large runs (hundreds of posts with comments) can consume significant resources. Check the "Usage" tab in your Apify Console for real-time cost tracking.
• Set Limits: If you only need recent data, consider limiting your scope rather than scraping entire subreddits.

⚡ Speed Optimization

• Posts Only Mode: If you don't need comments, disable comment harvesting to reduce runtime by 70-90%.
• Parallel Runs: For multiple subreddits, create separate runs instead of batching to leverage parallel processing.
• Peak Hours: Avoid Reddit's peak traffic hours (9 AM - 5 PM EST) to reduce rate limiting delays.

🛡️ Reliability Best Practices

• Validate Input: Always verify the subreddit name is correct and publicly accessible before running large jobs.
• Monitor Progress: Use the Apify Console's live log view to track real-time scraping progress and catch errors early.
• Retry Logic: If a run fails mid-execution, the actor will save partial results. Contact support for recovery assistance.

📊 Data Quality Tips

• Full Context: Enable comments=true for sentiment analysis to capture reply trees and context.
• Fresh Data: Reddit updates frequently. Schedule regular runs (daily/weekly) for time-series analysis.
• NSFW Filtering: Check the over_18 field in output to filter adult content if needed.

❓ FAQ

Is it legal to scrape Reddit data?

Yes, scraping publicly available data is generally considered legal, provided you respect personal data regulations (like GDPR/CCPA) and do not harm the website's infrastructure. This actor uses intelligent rate limiting to ensure compliance with Reddit's technical guidelines and only accesses public communities.

How to get Reddit comments to Excel?

After the run completes, go to the Output tab in the Apify Console. Click the Export button and select Excel format. You will receive a neatly formatted spreadsheet with all posts and nested comments flattened for easy analysis.

Best Reddit scraper for sentiment analysis?

This actor is optimized for sentiment analysis because it captures the full conversation context. Unlike simple scrapers that only get top-level comments, we retrieve the entire reply tree, allowing you to analyze how sentiment evolves throughout a discussion thread.

How do I format the subreddit name?

Enter the subreddit name without the r/ prefix. For example, use askreddit for r/askreddit, or programming for r/programming. The actor will automatically handle the subreddit lookup. If you receive an error, verify the subreddit exists and is publicly accessible.

Can I scrape full comment trees along with posts?

Yes. Set posts=true to enable submission harvesting and comments=true if you also want every thread expanded. Note that comments can only be extracted when posts collection is enabled. The actor charges events separately and halts safely if a billing attempt fails.

How long does it take to scrape a subreddit?

Runtime primarily depends on how many posts you request and whether full comment harvesting is enabled. Smaller pulls (tens of posts without comments) usually finish in under a minute, while large runs that fetch hundreds of posts plus complete comment trees can take several minutes because we have to pace requests to avoid throttling.

How do I estimate and control my scraping costs?

Costs are calculated per resource: Profile ($0.419 fixed), Post ($0.0048/item), and Comment ($0.0012/item). Formula: ($0.419) + (Posts * $0.0048) + (Comments * $0.0012) + Runtime

⚖️ Legal & Compliance

This actor scrapes publicly available data only. It does not log in, access private communities, or touch personal user data. You are responsible for adhering to Reddit's Terms of Service and applicable privacy laws (GDPR/CCPA).

🏷️ Reddit Community Analyzer

🔥 Search Terms: reddit community analyzer, subreddit analytics tool, reddit osint tool, reddit sentiment analysis, subreddit data export, reddit brand monitoring, reddit comment scraper, reddit post scraper, subreddit monitoring api, reddit community insights, reddit moderation audit, subreddit rule export, reddit engagement tracker, reddit community research, subreddit analysis platform, analyze subreddit traffic, reddit community metrics, download subreddit comment tree, scrape reddit comments to excel, reddit trend analysis tool, subreddit user overlap, reddit marketing intelligence, reddit crisis monitoring, subreddit health check

💼 Use Case: community-intelligence reddit-monitoring brand-monitoring osint market-research content-moderation trust-and-safety digital-investigations engagement-analytics policy-audit competitive-analysis reputation-tracking creator-vetting threat-monitoring sentiment-analysis trend-forecasting audience-segmentation crisis-management product-launch-tracking

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🤝 Support & Community

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