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Free Reddit JSON Inspector & Brand Mention Debugger.

Test our real-time subreddit feeds, global keyword search, and 200-comment tree extractor right in your browser — no login required for default presets. When you are ready to automate at scale, grab your rd_live_... API key with 2,000 Free Credits (from $0.10/1K posts).

Interactive API Playground
1 Credit / post ($0.10 / 1K) · min 2 CreditsGet Free Key (2,000 Credits) →
GET/v1/subreddit/posts

Zero charge on errors (`code !== 0`). Want higher concurrency? Create free account (2,000 Credits).

curl "https://api.redditdataapi.io/v1/subreddit/posts?subreddit=MachineLearning&sort=hot&limit=25" \
  -H "x-api-key: rd_live_your_api_key"
HTTP 200 OK·180 ms·0 Credits (Sandbox Preview)
Offline Sample Payload
{
  "code": 0,
  "provider": "https://redditdataapi.io",
  "status": "ok",
  "msg": "success",
  "data": {
    "items": [
      {
        "id": "1xmjld9",
        "post_id": "t3_1xmjld9",
        "subreddit": "saas",
        "subreddit_name_prefixed": "r/saas",
        "title": "How we scaled our B2B SaaS to $42k MRR using automated Reddit brand mention alerts",
        "selftext": "We built an internal keyword monitor across r/saas, r/startups, and r/entrepreneur...",
        "author": "indie_founder_io",
        "score": 384,
        "upvote_ratio": 0.96,
        "num_comments": 78,
        "created_utc": 1762286400,
        "created_at": "2026-11-04T20:00:00.000Z",
        "url": "https://www.reddit.com/r/saas/comments/1xmjld9/how_we_scaled_our_b2b_saas/",
        "permalink": "https://www.reddit.com/r/saas/comments/1xmjld9/how_we_scaled_our_b2b_saas/",
        "domain": "self.saas",
        "flair": "Case Study",
        "over_18": false,
        "is_nsfw": false,
        "is_video": false,
        "is_self": true
      }
    ],
    "count": 1,
    "next_cursor": "t3_1xmjld9",
    "cursor": "t3_1xmjld9",
    "has_more": true,
    "hasMore": true
  },
  "meta": {
    "request_id": "c42d9f10-81e3-4c22-9118-092f1a8b1122",
    "endpoint": "/v1/subreddit/posts",
    "credits_used": 2,
    "credits_remaining": 249998,
    "cache_hit": false,
    "data_age_seconds": 0,
    "latency_ms": 185
  }
}

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