SubReddit Post Scraper - Reddit Post & Comment Extraction API

Extract Reddit posts from any subreddit with 40+ fields per post including titles, content, author data, vote counts, engagement metrics, media URLs, flair text, and optional full comment threads. This subreddit posts API supports sorting by new, hot, top, rising, or controversial and returns structured JSON with comment threading, reply levels, and subreddit metadata for single-community monitoring, sentiment analysis, and subreddit intelligence workflows.

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Why Choose This Reddit Post Extraction API

40+ Fields with Full Comment Threads, Vote Analytics & Content Metadata

🎯 Targeted Subreddit Extraction Extract posts from any subreddit by name, r/ prefix, or full URL. Supports sorting by new, hot, top, rising, or controversial for precise content targeting.

💬 Full Comment Thread Extraction Optional extraction of complete comment threads with reply structure, threading levels, parent IDs, author data, and per-comment vote counts.

📊 Comprehensive Post Metadata 40+ fields per post: votes (up/down/score), timestamps (created/edited), content score, flair, media URLs, cross-post count, and moderation flags (archived, locked, stickied, NSFW, spoiler).

📈 Subreddit Analytics Each post includes subreddit metadata — subscriber count and subreddit type — enabling community-level analytics alongside post-level data.

🤖 AI-Ready Structured Output JSON output with consistent schema optimized for sentiment analysis, topic modeling, and NLP pipelines.

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Why Choose This API

This actor is designed for structured output, repeatable automation, and downstream integration in monitoring, enrichment, or ingestion pipelines.

Quick Start Guide

How to Extract Reddit Posts in 3 Steps

Step 1: Configure Parameters

Enter a subreddit name, select sort method, set max posts, and toggle comment extraction.

Open Actor Input

Step 2: Run the Actor

Click "Start" to begin extraction. Posts are processed concurrently with automatic rate limiting.

Step 3: Access Structured Results

Download JSON dataset or integrate via Apify API into your analytics pipeline.

Example Input

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

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Input Parameters

Parameter	Type	Required	Description
🏘️ Community	String	Yes	Subreddit name, r/ prefix, or full URL
🔄 Sort By	String	Yes	Sort method: new, hot, top, rising, controversial
📊 Max Posts	Number	Yes	Maximum posts to extract
💬 Comments	Boolean	Yes	Extract full comment threads

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Output Data Schema

Each extracted Reddit post returns 40+ structured fields:

Open Actor Input

Post Fields

Field	Type	Description
id	String	Unique Reddit post identifier
title	String	Post title
body	String	Post text content
author	String	Post author username
subreddit	String	Subreddit name
subreddit_subscribers	Integer	Subreddit subscriber count
score	Integer	Net score (upvotes - downvotes)
upvotes	Integer	Upvote count
downvotes	Integer	Downvote count
created	String	Creation timestamp
edited	String	Edit timestamp
flair_text	String	Post flair
link	String	Direct post URL
media_url	String	Media content URL
content_score	Integer	Reddit quality score
over_18	Boolean	NSFW flag
archived	Boolean	Archived status
locked	Boolean	Locked status
comments	Array	Comment objects (if enabled)

Comment Fields

Field	Type	Description
id	String	Comment identifier
author	String	Comment author
body	String	Comment text
score	Integer	Comment net score
is_root	Boolean	Root comment flag
parent_id	String	Parent comment ID
reply_level	Integer	Thread depth level

Example Output

{
  "id": "18x9m2k",
  "title": "What are some underrated programming languages?",
  "body": "I've been working with Python and JavaScript...",
  "author": "DevEngineer2024",
  "subreddit": "programming",
  "subreddit_subscribers": 4200000,
  "score": 2847,
  "upvotes": 3120,
  "downvotes": 273,
  "created": "2025-01-15 07:15:22",
  "flair_text": "Discussion",
  "comments": [
    {
      "id": "k3p9n1x",
      "author": "RustEnthusiast",
      "body": "I'd recommend looking into Rust...",
      "score": 869,
      "is_root": true,
      "reply_level": 0
    }
  ],
  "processor": "https://apify.com/agentx/subreddit-post-scraper?fpr=aiagentapi",
  "processed_at": "2025-01-15T08:42:33.456Z"
}

---

Integration Examples

Python Integration Example

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
    "community": "programming",
    "sort_by": "hot",
    "max_posts": 100,
    "comments": True
}

run = client.actor("ipw4MHKL6ZBj9pYeF").call(run_input=run_input)
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items

for item in dataset_items:
    print(f"{item['title']} | Score: {item['score']} | Comments: {len(item.get('comments', []))}")

JavaScript/Node.js Integration

import { ApifyClient } from "apify-client";

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

const input = {
  community: "programming",
  sort_by: "hot",
  max_posts: 100,
  comments: true,
};

const run = await client.actor("ipw4MHKL6ZBj9pYeF").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

items.forEach((item) => {
  console.log(`${item.title} | Score: ${item.score} | Author: ${item.author}`);
});

Actor ID for Platform Integration

ipw4MHKL6ZBj9pYeF

Ⓜ️ 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 Post Scraper",
  "description": "Reddit post and comment extraction API with 40+ fields, vote analytics, and full comment threads",
  "applicationCategory": "Developer Tools",
  "operatingSystem": "Cloud",
  "url": "https://apify.com/agentx/subreddit-post-scraper?fpr=aiagentapi",
  "dateModified": "2026-04-21",
  "offers": {
    "@type": "Offer",
    "price": "0.008",
    "priceCurrency": "USD"
  }
}

---

Pricing & Cost Calculator

Transparent Pay-Per-Use Model

Event Type	Price	Description
Actor Start	$0.005	Charged per run start (per GB of memory)
Post	$0.008	Per post extracted with full metadata
Comment	$0.00017	Per comment extracted with threading data

Cost Examples

Posts Only (100 posts, no comments):

• Posts: 100 × $0.008 = $0.80
• Total: ~$0.81

Posts + Comments (100 posts, ~50 comments each):

• Posts: 100 × $0.008 = $0.80
• Comments: 5,000 × $0.00017 = $0.85
• Total: ~$1.66

Large Extraction (1,000 posts + comments):

• Posts: 1,000 × $0.008 = $8.00
• Comments: 50,000 × $0.00017 = $8.50
• Total: ~$16.51

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Use Cases & Applications

Brand Monitoring & Reputation Management

Sentiment Tracking Extract posts mentioning your brand or product across subreddits and analyze vote patterns, comment sentiment, and engagement metrics for real-time reputation monitoring.

Crisis Detection Monitor high-engagement posts (rising sort) for early detection of negative sentiment spikes or emerging issues requiring rapid response.

Market Research & Consumer Insights

Product Feedback Mining Extract posts and comments from product-specific subreddits to identify feature requests, pain points, and competitive comparisons from authentic user discussions.

Competitive Intelligence Track competitor mentions, product reviews, and user sentiment across industry subreddits for strategic positioning and messaging.

Content Strategy & Trend Analysis

Topic Discovery Monitor trending posts (hot/rising sorts) across niche subreddits to identify emerging content opportunities and viral topics.

Audience Research Analyze post engagement patterns, flair distributions, and comment depth to understand community interests and content preferences.

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FAQ

What subreddit name formats are accepted?

Simple names (programming), r/ prefixed (r/programming), and full URLs (https://www.reddit.com/r/programming/). All formats are automatically normalized.

What sorting options are available?

Five options: new (chronological), hot (current popularity), top (highest score), rising (gaining traction), controversial (high engagement, mixed votes).

Can I extract comments separately from posts?

Comments are toggled via the comments boolean parameter. Set to false for posts-only extraction at lower cost, or true for full thread data.

How are comment threads structured?

Each comment includes is_root, parent_id, and reply_level fields for reconstructing the full thread hierarchy in downstream processing.

Are private subreddits accessible?

No. Only public subreddits are accessible. Private, restricted, or banned subreddits return empty results.

What is the maximum extraction size?

Set max_posts up to thousands per run. Processing speed scales based on comment depth and extraction volume.

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SEO Keywords & Search Terms

Primary Keywords

subreddit scraper API, Reddit post extraction, Reddit comment scraper, subreddit data extraction API, Reddit content monitoring, Reddit analytics pipeline

Long-Tail Keywords

extract Reddit posts API structured data, Reddit comment thread extraction with threading, subreddit post monitoring pipeline, Reddit sentiment analysis data extraction

Industry Terms

social listening, sentiment analysis, content monitoring, brand intelligence, community analytics, consumer insights, trend detection

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Trust & Certifications

• ✅ Enterprise Ready - Processing thousands of posts per run with 99.9% uptime
• ✅ GDPR Compliant - EU data protection standards
• ✅ 40+ Data Fields - Comprehensive post and comment intelligence
• ✅ Regular Updates - Continuous maintenance for platform changes

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Legal & Compliance

Data Rights & Usage

All data extracted by this actor originates from publicly accessible Reddit posts and comments. Users are responsible for ensuring their use 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 regarding data usage. This tool accesses only publicly available content.

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