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Reddit API Interactive Playground

Test SubScraper endpoints directly in your browser. Inspect structured JSON responses, tweak parameters with realistic presets, and generate copy-paste cURL commands and TypeScript SDK snippets with zero setup or API keys required.

POST/api/v1/search
Search for Reddit posts globally or within a specific subreddit with sorting and time filters.
Click preset to populate
Valid JSON
payload.json
application/json
HTTP 200 OK·164ms·1.5 KB
response.json
{
  "results": [
    {
      "id": "t3_1h4k8m2",
      "title": "Showcase: Multi-agent orchestrator for automated literature synthesis",
      "author": "ml_researcher_ai",
      "subreddit": "MachineLearning",
      "score": 1420,
      "upvoteRatio": 0.96,
      "numComments": 184,
      "url": "https://reddit.com/r/MachineLearning/comments/1h4k8m2/showcase_multiagent_orchestrator/",
      "createdAt": "2024-11-12T14:30:00.000Z",
      "isSelfPost": true,
      "linkFlairText": "Project"
    },
    {
      "id": "t3_1g8a9v4",
      "title": "Benchmarking autonomous code-generating agents on real-world Git repositories",
      "author": "kernel_coder",
      "subreddit": "MachineLearning",
      "score": 985,
      "upvoteRatio": 0.94,
      "numComments": 142,
      "url": "https://reddit.com/r/MachineLearning/comments/1g8a9v4/benchmarking_autonomous_code_agents/",
      "createdAt": "2024-10-22T09:15:20.000Z",
      "isSelfPost": true,
      "linkFlairText": "Research"
    },
    {
      "id": "t3_1f2j5x1",
      "title": "Comparing function calling latency across state-of-the-art open weight models",
      "author": "neural_net_ninja",
      "subreddit": "MachineLearning",
      "score": 756,
      "upvoteRatio": 0.92,
      "numComments": 89,
      "url": "https://reddit.com/r/MachineLearning/comments/1f2j5x1/comparing_function_calling_latency/",
      "createdAt": "2024-08-27T18:42:10.000Z",
      "isSelfPost": false,
      "linkFlairText": "Discussion"
    }
  ],
  "total": 314,
  "tookMs": 138
}
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