Subreddit Search

Immutable Catalog Entry

This descriptor comes from the active versioned Portal catalog.

READscrape-creators.scrape_creators_reddit_get_v1_reddit_subreddit_search

• Contract tier: legacy
• Risk: read
• Catalog version: scrape-creators-2026.07.12.1
• Descriptor hash: 6cf07709be677dac1e11295c4bebe8f9acc8c3aa70a80c83438676f45b1d69ef

Use this when you need ScrapeCreators Reddit data from GET /v1/reddit/subreddit/search for Subreddit Search. Searches within a specific subreddit for posts, comments, and media matching a query. Returns posts with title, votes, num_comments, url, and created_at; comments with author, body, votes, and parent post info; and media with title, media_type, image dimensions, and gallery_count. Supports sort, timeframe filtering, and cursor-based pagination. Returns the ScrapeCreators response in the standard MCP envelope with ok/data/error/meta. This is read-only. Requires the portal grant header and a ScrapeCreators BYOK API key.

Request Body

{
  "jsonrpc": "2.0",
  "id": "scrape-creators-scrape-creators-reddit-get-v1-reddit-subreddit-search-example",
  "method": "tools/call",
  "params": {
    "name": "scrape-creators.scrape_creators_reddit_get_v1_reddit_subreddit_search",
    "arguments": {
      "body": "",
      "sort": "relevance",
      "query": "",
      "cursor": "",
      "params": "",
      "compact": "",
      "max_items": "",
      "subreddit": "",
      "timeframe": "all",
      "include_raw": false
    }
  }
}

Arguments Schema

{
  "type": "object",
  "properties": {
    "body": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "array",
          "items": {}
        },
        {
          "type": "null"
        }
      ],
      "title": "Body",
      "default": null,
      "description": "JSON request body for provider endpoints that accept one."
    },
    "sort": {
      "enum": [
        "relevance",
        "hot",
        "top",
        "new",
        "comments"
      ],
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sort",
      "default": null,
      "description": "Sort order. For posts/media: relevance, hot, top, new, comments. For comments: relevance, top, new"
    },
    "query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Query",
      "default": null,
      "description": "Search query to find matching content"
    },
    "cursor": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Cursor",
      "default": null,
      "description": "Cursor to get more results. Get 'cursor' from previous response."
    },
    "params": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Params",
      "default": null,
      "description": "Optional advanced query parameter object. Prefer the documented top-level parameters when available."
    },
    "compact": {
      "anyOf": [
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "title": "Compact",
      "default": null,
      "description": "When true, trims large list payloads before returning them to the agent."
    },
    "max_items": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Max Items",
      "default": null,
      "description": "Maximum number of list items to return when compacting provider responses."
    },
    "subreddit": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Subreddit",
      "default": null,
      "description": "Subreddit name (e.g. 'Fitness', not 'r/Fitness' or a full URL)"
    },
    "timeframe": {
      "enum": [
        "all",
        "year",
        "month",
        "week",
        "day",
        "hour"
      ],
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Timeframe",
      "default": null,
      "description": "Timeframe to filter results"
    },
    "include_raw": {
      "type": "boolean",
      "title": "Include Raw",
      "default": false,
      "description": "When true, returns both compact normalized data and the raw provider payload; this can be large."
    },
    "path_params": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Path Params",
      "default": null,
      "description": "Path template values for endpoints that expose path placeholders."
    },
    "search_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Search Query",
      "default": null,
      "description": "Alias for query: Search query to find matching content"
    },
    "cache_ttl_seconds": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Cache Ttl Seconds",
      "default": null,
      "description": "Optional cache lifetime for idempotent GET requests."
    },
    "confirm_high_cost": {
      "type": "boolean",
      "title": "Confirm High Cost",
      "default": false,
      "description": "Set true only when intentionally running a high-credit or write-intent request."
    }
  },
  "additionalProperties": false
}

Output Schema

{
  "type": "object",
  "required": [
    "ok",
    "data",
    "error",
    "meta"
  ],
  "properties": {
    "ok": {
      "type": "boolean",
      "description": "Whether the local or provider operation completed successfully."
    },
    "data": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "array",
          "items": {}
        },
        {
          "type": "string"
        },
        {
          "type": "number"
        },
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "description": "Bounded operation result when ok is true."
    },
    "meta": {
      "type": "object",
      "description": "Safe request, pagination, cache, and timing metadata.",
      "additionalProperties": true
    },
    "error": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "description": "Safe structured error when ok is false."
    }
  },
  "description": "Scrape Creators MCP normalized response envelope.",
  "additionalProperties": false
}

Code Examples

cURL

curl -X POST 'https://portal.madpanda3d.com/api/mcp' \
  -H 'Authorization: Bearer mad_live_***' \
  -H 'Content-Type: application/json' \
  -d '{
  "jsonrpc": "2.0",
  "id": "scrape-creators-scrape-creators-reddit-get-v1-reddit-subreddit-search-example",
  "method": "tools/call",
  "params": {
    "name": "scrape-creators.scrape_creators_reddit_get_v1_reddit_subreddit_search",
    "arguments": {
      "body": "",
      "sort": "relevance",
      "query": "",
      "cursor": "",
      "params": "",
      "compact": "",
      "max_items": "",
      "subreddit": "",
      "timeframe": "all",
      "include_raw": false
    }
  }
}'

Node.js

const response = await fetch('https://portal.madpanda3d.com/api/mcp', {
  method: 'POST',
  headers: {
    Authorization: 'Bearer mad_live_***',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "jsonrpc": "2.0",
  "id": "scrape-creators-scrape-creators-reddit-get-v1-reddit-subreddit-search-example",
  "method": "tools/call",
  "params": {
    "name": "scrape-creators.scrape_creators_reddit_get_v1_reddit_subreddit_search",
    "arguments": {
      "body": "",
      "sort": "relevance",
      "query": "",
      "cursor": "",
      "params": "",
      "compact": "",
      "max_items": "",
      "subreddit": "",
      "timeframe": "all",
      "include_raw": false
    }
  }
}),
});
const data = await response.json();
console.log(data);

Python

import requests

url = 'https://portal.madpanda3d.com/api/mcp'
headers = {
    'Authorization': 'Bearer mad_live_***',
    'Content-Type': 'application/json',
}
payload = {
  "jsonrpc": "2.0",
  "id": "scrape-creators-scrape-creators-reddit-get-v1-reddit-subreddit-search-example",
  "method": "tools/call",
  "params": {
    "name": "scrape-creators.scrape_creators_reddit_get_v1_reddit_subreddit_search",
    "arguments": {
      "body": "",
      "sort": "relevance",
      "query": "",
      "cursor": "",
      "params": "",
      "compact": "",
      "max_items": "",
      "subreddit": "",
      "timeframe": "all",
      "include_raw": false
    }
  }
}
response = requests.post(url, headers=headers, json=payload, timeout=60)
print(response.json())

Example Responses

200 Success

{
  "ok": true,
  "message": "Tool scrape-creators.scrape_creators_reddit_get_v1_reddit_subreddit_search executed successfully.",
  "note": "Response shape varies by MCP tool. Inspect live responses for exact fields."
}

502 Upstream Error

{
  "ok": false,
  "classification": "upstream_http_error",
  "message": "Upstream MCP returned a non-success status."
}