Reddit Community Post

Extract Reddit posts from any subreddit with 40+ rich data points per post.

Capture authentic community discussions from specific subreddits: Post titles, full content, author information, and complete comment threads with hierarchical reply structure automatically extracted. Get structured community intelligence including vote counts (upvotes, downvotes, scores), timestamps, engagement metrics, and subreddit metadata—all in one unified dataset.

🤝 Support & Community

📧 Support: Contact Us 💬 Community: Telegram Group

🏆 Key Features

📊 Post Extraction

• 🎯 Targeted Community Scraping: Extract posts from any specific subreddit by name, r/ prefix, or full Reddit URL.
• 📝 Complete Post Data: Capture titles, full text content, author usernames, and post IDs for comprehensive analysis.
• 🏷️ Post Metadata: Extract flair text, post status flags (archived, locked, stickied, pinned, hidden), and content markers (NSFW, spoiler, original content).
• 📸 Media Content: Gather thumbnail URLs, media content links, and visual assets attached to posts.

💬 Comment Intelligence

• 🌳 Hierarchical Threading: Extract complete comment trees with parent-child relationships, reply depth levels, and root comment identification.
• 👥 Comment Metadata: Capture comment authors, timestamps (created, edited), and submitter identification flags.
• 📈 Engagement Metrics: Gather upvotes, downvotes, scores, and comment status (archived, locked, stickied) for sentiment analysis.
• 🔗 Comment Links: Direct URLs to each comment for verification and follow-up analysis.

🔄 Flexible Sorting

• 📅 New: Extract newest posts first for real-time community monitoring and breaking discussion tracking.
• 🔥 Hot: Capture currently trending posts to identify actively discussed topics and viral content.
• ⭐ Top: Scrape highest-scored posts to find the most valuable community contributions and popular opinions.
• 📈 Rising: Extract posts gaining traction quickly to catch emerging trends before they peak.
• ⚔️ Controversial: Gather polarizing posts with mixed votes to identify debate topics and divisive discussions.

🌍 Comprehensive Data

• 📊 Vote Tracking: Capture upvotes, downvotes, net scores, and crosspost counts for engagement analysis.
• 👥 Subreddit Info: Extract subscriber counts, community type (public/private), and subreddit classification.
• 🔗 Duplicate Detection: Identify crossposted content and duplicate submissions across communities.
• ⏱️ Timestamp Precision: ISO 8601 formatted timestamps for post creation, edits, and processing time.

💰 Pricing

Resource	Cost	Description
Actor Usage	$0.00001	Charged for Actor runtime. Cost depends on resource consumption during execution
Post	$0.0069	Charged per post scraped. Includes title, content, author, votes, timestamps, media URLs, flair, subreddit data, and 40+ metadata fields
Comment	$0.0001	Charged per comment scraped. Includes author, text, votes, timestamps, reply level, parent ID, threading data, and engagement metrics

Example Cost Calculation:

• Extracting 100 posts from r/programming
• Each post has an average of 50 comments
• Cost: (100 posts × $0.0069) + (5,000 comments × $0.0001) = $1.19 + minimal runtime fees

🌟 Why choose this Actor?

Built for market research, community analysis, and sentiment tracking, this Actor transforms Reddit into your automated community intelligence platform.

Feature	Reddit Community Post	Pushshift	Custom Scripts	Other Services
Pricing Model	✅ Pay per use	❌ Discontinued	⚠️ Self-hosted	⚠️ Rate limited
Comment Trees	✅ Full hierarchy	⚠️ Flat only	⚠️ Manual parse	⚠️ Limited depth
Sort Options	✅ 5 methods	⚠️ Limited	⚠️ Manual setup	⚠️ Basic only
Setup Time	✅ Instant	❌ Complex setup	❌ Code required	⚠️ Complex config
Data Format	✅ Structured JSON	⚠️ Raw format	⚠️ Custom format	⚠️ Nested objects
Min. Cost	✅ $0.01	❌ N/A	⚠️ Server costs	⚠️ Subscription

💻 Input Parameters

Parameter	Type	Required	Description
community	string	✅ Yes	Reddit community (subreddit) name to scrape. Accepts formats: "askreddit", "r/askreddit", or https://reddit.com/r/askreddit. Case-insensitive
sort_by	string	✅ Yes	Sort posts by: "new" (latest), "top" (highest score), "hot" (trending), "rising" (gaining traction), or "controversial" (mixed votes)
max_posts	integer	✅ Yes	Maximum number of posts to extract from the community. Free tier limited to 15 posts. Paid users can extract up to 10,000 posts per run
comments	boolean	✅ Yes	Enable to extract full comment threads with reply structure. Set to false to extract only post metadata without comments for faster processing

{
  "community": "askreddit",
  "sort_by": "hot",
  "max_posts": 100,
  "comments": true
}

📤 Output Structure

Field	Type	Description
processor	string	URL of the Apify actor
processed_at	string	ISO timestamp when data was scraped
subreddit	string	Name of the subreddit
subreddit_type	string	Type of the subreddit (public, private, etc.)
subreddit_subscribers	integer	Number of subscribers in the subreddit
id	string	Unique identifier of the Reddit post
author	string	Username of the post author
created	string	Timestamp when the post was created
edited	string	Timestamp when the post was last edited
link	string	Direct link to the Reddit post
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 - downvotes)
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
content_score	integer	Content quality score
duplicates	array	Array of duplicate post links
comments	array	Array of comment objects with hierarchical structure

Comments

Field	Type	Description
id	string	Unique identifier of the comment
is_root	boolean	Whether this is a root comment
created	string	Timestamp when the comment was created (YYYY-MM-DD HH:MM:SS)
edited	string	Timestamp when the comment was last edited (YYYY-MM-DD HH:MM:SS)
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 (upvotes - downvotes)
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
link	string	Direct link to the comment

📤 Example Output

{
  "processor": "https://apify.com/cheapget/reddit-community-post?fpr=aiagentapi",
  "processed_at": "2026-01-13T05:10:22+00:00",
  "subreddit": "programming",
  "subreddit_type": "public",
  "subreddit_subscribers": 4200000,
  "id": "18x9m2k",
  "author": "DevEngineer2024",
  "created": "2026-01-13T07:15:22+00:00",
  "edited": null,
  "link": "https://www.reddit.com/r/programming/comments/18x9m2k/what_are_some_underrated_programming_languages",
  "flair_text": "Discussion",
  "title": "What are some underrated programming languages worth learning in 2026?",
  "body": "I've been working with Python and JavaScript for years, but I'm curious about languages that might be flying under the radar. What languages have you discovered that offer unique advantages or solve specific problems better than the mainstream ones?",
  "score": 2847,
  "upvotes": 3120,
  "downvotes": 273,
  "crossposts": 12,
  "archived": false,
  "locked": false,
  "stickied": false,
  "pinned": false,
  "hidden": false,
  "over_18": false,
  "spoiler": false,
  "original": true,
  "advertising": false,
  "indexable": true,
  "crosspostable": true,
  "thumbnail": null,
  "media_url": null,
  "no_follow": false,
  "content_score": 92,
  "duplicates": [],
  "comments": [
    {
      "id": "k3p9n1x",
      "is_root": true,
      "created": "2026-01-13T07:28:45+00:00",
      "edited": null,
      "author": "RustEnthusiast",
      "body": "I'd strongly recommend looking into **Rust**. While it's getting more popular, it's still underrated for many use cases. The memory safety without garbage collection is incredible, and the type system catches bugs at compile time.",
      "upvotes": 892,
      "downvotes": 23,
      "score": 869,
      "archived": false,
      "locked": false,
      "stickied": false,
      "submitter": false,
      "parent_id": null,
      "reply_level": 0,
      "link": "https://www.reddit.com/r/programming/comments/18x9m2k/what_are_some_underrated_programming_languages/k3p9n1x"
    }
  ]
}

🔌 Integrations

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

🔗 Make.com Integration

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

┌──────────────────────────────────────────┐
│  Step 1: Configure Actor Module          │
│  ├─ Add Module: "Run an Actor"           │
│  ├─ Enable Map: Toggle ON                │
│  ├─ Actor ID: ArH4ExWA6fVhpwgqD          │
│  ├─ Refresh: Click Refresh button        │
│  └─ Input JSON: Add search parameters    │
└──────────────────────────────────────────┘
         ↓
┌──────────────────────────────────────────┐
│  Step 2: Set Execution Mode              │
│  └─ Run synchronously: YES               │
└──────────────────────────────────────────┘
         ↓
┌──────────────────────────────────────────┐
│  Step 3: Retrieve Results                │
│  ├─ Add Module: "Get Dataset Items"      │
│  └─ Dataset ID: defaultDatasetId         │
└──────────────────────────────────────────┘

🎱 N8N.io Integration

Open Source Workflow Automation ⚡

┌─────────────────────────────────────────┐
│  Step 1: Add Apify Node                 │
│  ├─ Search: "Run an Actor and get       │
│  │          dataset"                    │
│  └─ Category: Apify                     │
└─────────────────────────────────────────┘
         ↓
┌─────────────────────────────────────────┐
│  Step 2: Configure Actor                │
│  ├─ Selection Mode: By ID               │
│  ├─ Actor ID: ArH4ExWA6fVhpwgqD         │
│  └─ Paste from Actor ID section above   │
└─────────────────────────────────────────┘
         ↓
┌─────────────────────────────────────────┐
│  Step 3: Set Input Parameters           │
│  └─ Modify Input JSON with your params  │
└─────────────────────────────────────────┘

📚 API Documentation

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

🏗️ Metadata for Developers (JSON-LD)

{
  "@context": "https://schema.org",
  "@type": "SoftwareApplication",
  "name": "Reddit Community Post Scraper",
  "alternateName": [
    "Reddit Scraper",
    "Subreddit Post Scraper",
    "Reddit Data Extractor"
  ],
  "applicationCategory": "DeveloperApplication",
  "applicationSubCategory": "Data Extraction Tool",
  "operatingSystem": "Cloud",
  "offers": {
    "@type": "Offer",
    "price": "0.00",
    "priceCurrency": "USD",
    "priceValidUntil": "2099-12-31",
    "availability": "https://schema.org/InStock"
  },
  "description": "Professional Reddit scraper for community analysis. Extract posts from any subreddit with complete metadata (title, content, author, votes, timestamps), full comment threads with hierarchical structure, and subreddit data. Sort by new, hot, top, rising, or controversial.",
  "featureList": [
    "Extract posts with 40+ data fields",
    "Scrape complete comment threads with reply structure",
    "Sort by new, hot, top, rising, controversial",
    "Track upvotes, downvotes, and engagement metrics",
    "Export to JSON with structured format",
    "Capture subreddit metadata and subscriber counts",
    "Extract media URLs and thumbnail images",
    "Real-time data extraction",
    "API integration ready"
  ],
  "keywords": "reddit scraper, subreddit scraper, reddit data extraction, reddit comment scraper, reddit post scraper, community analysis, sentiment analysis, market research, brand monitoring, reddit automation, social listening, reddit analytics, subreddit extraction",
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.9",
    "ratingCount": "500",
    "bestRating": "5"
  },
  "author": {
    "@type": "Organization",
    "name": "cheapget",
    "url": "https://apify.com/cheapget"
  },
  "softwareVersion": "1.0",
  "datePublished": "2024-01-01",
  "dateModified": "2026-01-13"
}

🚀 Performance Tips

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

💰 Cost Optimization

• Test First: Start with max_posts set to 5-10 to verify your configuration before scaling up
• Disable Comments: If you only need post metadata, set comments to false to save on comment extraction costs
• Target Active Communities: Popular subreddits have more complete data and fewer deleted posts

⚡ Speed Optimization

• Parallel Runs: Split large extractions into multiple Actor runs with different subreddits
• Limit Comments: Comment extraction requires additional processing. Disable if not needed for faster runs
• Use Specific Sorts: "New" and "Hot" sorts are typically faster than "Top" which may have more historical data

🛡️ Reliability Best Practices

• Valid Community Names: Use correct subreddit names (check spelling and capitalization)
• Public Communities: Private or banned subreddits cannot be accessed
• Automatic Rate Limiting: The Actor automatically manages connections to avoid rate limits and ensure reliable extraction

📊 Data Quality Tips

• Comment Availability: Locked or deleted posts may have limited comment data
• Author Information: Deleted accounts show as "Unknown" in author fields
• Timestamp Accuracy: All timestamps are in UTC ISO 8601 format for consistency
• Duplicate Detection: Use the duplicates field to identify crossposted content

❓ FAQ

Can I scrape private subreddits?

No, this Actor can only access publicly available subreddits. Private communities require membership and cannot be scraped without authentication.

Why are some comments missing?

Comments may be missing if they were deleted by users or moderators, or if the post is locked. The platform also has limitations on deeply nested comment threads.

How many posts can I extract?

Free tier users are limited to 15 posts per run. Paid users can extract up to 10,000 posts per run. For larger datasets, run multiple extractions.

🏷️ Reddit Community Post

🔥 Search Terms: reddit scraper, subreddit scraper, reddit data extraction, reddit comment scraper, reddit post scraper, community analysis tool, reddit monitoring, reddit automation, reddit sentiment analysis, reddit brand monitoring, reddit social listening, reddit market research, subreddit data collection, reddit web scraping, reddit crawling, subreddit archive, reddit analytics platform, reddit engagement metrics, subreddit extraction tool

💼 Use Case: market-research brand-monitoring sentiment-analysis community-analysis content-strategy trend-analysis consumer-insights competitor-analysis social-listening reputation-management academic-research data-mining web-scraping automated-scraping reddit-intelligence subreddit-analytics comment-analysis engagement-tracking viral-content discussion-monitoring

⚖️ Legal & Compliance

This actor extracts publicly available data only. It does not bypass authentication, access private content, or violate platform terms of service. You are responsible for:

• Data Rights: Ensuring you have permission to collect and use the extracted data
• Privacy Compliance: Adhering to GDPR, CCPA, and other applicable privacy laws when processing data
• Platform Terms: Respecting the platform's terms of service and usage policies
• Ethical Use: Using extracted data responsibly and in compliance with applicable laws

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