Reddit Data Without Commercial Restrictions

Subreddit posts, full comment threads, cross-subreddit search, and user post/comment history. Five endpoints, API key authentication, no Reddit account or OAuth required.

5 dedicated Reddit endpoints Full comment thread extraction with nesting Cross-subreddit search No Reddit account or OAuth required

Reddit Locked Down Data Access

In 2023, Reddit's API pricing changes killed third-party apps and restricted data access for everyone else. The free tier requires OAuth, a registered app, and prohibits commercial data collection. Paid enterprise access requires a sales contract.

Pushshift, the academic archive that researchers and developers relied on for years, was restricted to Reddit's moderation tools. The largest open dataset of Reddit discussions was effectively shut down.

This matters because Reddit contains the most honest, unfiltered opinion data on the internet. People discuss products, compare tools, share experiences, and ask for recommendations in ways they don't on any other platform. Google increasingly surfaces Reddit threads in search results precisely because the content is genuinely useful.

For product research, brand monitoring, content ideation, and competitive intelligence, Reddit data is irreplaceable. Accessing it programmatically shouldn't require enterprise contracts.

All Reddit Endpoints

Five endpoints. Every request costs 1 credit.

Endpoint What It Returns Cost
/api/reddit/posts Subreddit posts: title, body, score, comments, author 1 credit
/api/reddit/posts/comments Full comment thread with nested replies 1 credit
/api/reddit/search/posts Cross-subreddit search by keyword 1 credit
/api/reddit/user/posts User's post history across subreddits 1 credit
/api/reddit/user/comments User's comment history across subreddits 1 credit

Full documentation, code examples, and use cases →

Why Reddit Data Matters

The Most Honest Product Reviews

Amazon reviews are gamed. G2 reviews are incentivized. Reddit discussions are where people say what they actually think. "I switched from X to Y because..." posts contain more genuine product intelligence than any review platform.

Real-Time Market Intelligence

Subreddits like r/dataengineering, r/devops, r/SaaS, and r/startups are where your customers discuss their pain points, evaluate tools, and share recommendations in real-time.

Content Strategy Gold

The questions people ask on Reddit are the blog posts and landing pages you should write. Reddit threads that rank in Google search prove the demand exists.

Competitive Signals

People share detailed experiences switching between products. "Why I left [Competitor]" posts reveal your competitor's weaknesses in the customer's own words.

Common Workflows

Product and Market Research

Python — Search + comment extraction
import requests

API_KEY = "YOUR_API_KEY"
BASE = "https://api.anysite.io"
headers = {"access-token": API_KEY}

# Find discussions about your product category
results = requests.post(f"{BASE}/api/reddit/search/posts",
    headers=headers,
    json={
        "query": "best data pipeline tool 2026",
        "sort": "top",
        "count": 50
    }
).json()

# Pull full comment threads for top discussions
for post in results["posts"][:10]:
    comments = requests.post(f"{BASE}/api/reddit/posts/comments",
        headers=headers,
        json={"post_url": post["url"]}
    ).json()

    print(f"[{post['score']} pts] {post['title']}")
    for comment in comments["comments"][:5]:
        print(f"  > {comment['body'][:120]}")

Brand Monitoring

CLI — Daily brand mention check
anysite api /api/reddit/search/posts query="YourBrand" sort=new count=25

Content Ideation Pipeline

Pipeline YAML — Content research workflow
name: reddit-content-research
sources:
  questions:
    endpoint: /api/reddit/search/posts
    input:
      query: "how to data pipeline"
      sort: top
      count: 50

  detailed_threads:
    endpoint: /api/reddit/posts/comments
    depends_on: questions
    input:
      post_url: ${questions.url}
    on_error: skip

storage:
  format: parquet
  path: ./data/reddit-content-ideas

Competitive Intelligence

Python — Monitor competitor mentions
import requests

# Monitor competitor mentions across key subreddits
subreddits = ["dataengineering", "devops", "SaaS", "startups"]
for sub in subreddits:
    posts = requests.post(f"{BASE}/api/reddit/search/posts",
        headers=headers,
        json={
            "query": "CompetitorName",
            "subreddit": sub,
            "sort": "new",
            "count": 25
        }
    ).json()

Pricing

All five endpoints cost 1 credit per request. Most Reddit use cases stay well within the Starter plan's 15,000 monthly credits.

Use Case Monthly Credits Cost (Starter $49/mo)
Monitor 5 subreddits daily ~150 $0.49
Daily brand monitoring ~300 $0.98
Market research (50 threads + comments) ~100 $0.33
Full pipeline ~1,000 $3.27

Frequently Asked Questions

Do I need a Reddit account?
No. API key authentication only. No Reddit OAuth, no app registration.
Can I access NSFW content?
Public NSFW subreddits are accessible. Quarantined subreddits may have limited availability.
Can I get nested comment replies?
Yes. The comments endpoint returns the full thread tree with nested replies.
How do I analyze sentiment?
The API returns raw text. Use the CLI's LLM analysis (anysite llm classify) to categorize by sentiment, topic, or custom taxonomy.

Start Extracting Reddit Data

7-day free trial with 1,000 credits. Posts, comments, search, user history. No Reddit account required.