Scraping Nested Reddit Comment Trees for LLM & RAG Pipelines

import requests

res = requests.get(
    "https://api.forumdataapi.com/v1/posts/comments",
    params={"post_id": "1u0z4vz", "sort": "top", "limit": 100},
    headers={"x-api-key": "rd_live_your_api_key"},
)
comments = res.json()["data"]["items"]

const res = await fetch("https://api.forumdataapi.com/v1/posts/comments?post_id=1u0z4vz&sort=top&limit=100", {
  headers: { "x-api-key": "rd_live_your_api_key" },
});
const { data } = await res.json();
console.log(data.items);

curl "https://api.forumdataapi.com/v1/posts/comments?post_id=1u0z4vz&sort=top&limit=100" \
  -H "x-api-key: rd_live_your_api_key"

{
  "code": 0,
  "provider": "https://forumdataapi.com",
  "status": "ok",
  "data": {
    "post_id": "t3_1u0z4vz",
    "items": [
      {
        "id": "oqlu8x4",
        "comment_id": "t1_oqlu8x4",
        "post_id": "t3_1u0z4vz",
        "parent_id": "t3_1u0z4vz",
        "author": "reallehnert",
        "body": "Great News!",
        "score": 86,
        "depth": 0,
        "is_submitter": false,
        "created_utc": 1780995393,
        "created_at": "2026-06-09T08:56:33.000Z"
      },
      {
        "id": "oqlvi4c",
        "comment_id": "t1_oqlvi4c",
        "post_id": "t3_1u0z4vz",
        "parent_id": "t3_1u0z4vz",
        "author": "JouniFlemming",
        "body": "The world is finally healing. Thank you!",
        "score": 48,
        "depth": 0,
        "is_submitter": false,
        "created_utc": 1780996070,
        "created_at": "2026-06-09T09:07:50.000Z"
      }
    ],
    "count": 2,
    "has_more": true
  }
}