Reddit Profile Comments API
Returns an account's own comment history, newest first, each with the text, score, permalink, parent_id, the post it sits under and ext.subreddit.
GET /v1/reddit/profile/commentsLast updated November 2026Maintained by the SocialCrawl team
When to use the Reddit Profile Comments API
Use it when you need a real comment history rather than a sample. Try search/comments with query=author:name first: 1 credit a page, but far fewer rows.
From the API reference
Returns the comments one Reddit account has written, newest first, read from the account's own listing rather than from a search index. **That distinction is the whole endpoint.** /v1/reddit/search/comments?query=author:username costs 1 credit for a page and looks like the same thing, but it reads Reddit's search index, which holds a small relevance-ranked subset: measured 07/09/2026 on one account, the search route returned 9 comments and then stopped, while this endpoint returned 60 in chronological order reaching back to 2021. **Start with the search route.** Come here when you need the history rather than a sample. Each row carries the comment text, the score, the permalink, the post it sits under at post_id and ext.post_url, the community at ext.subreddit, and a real parent_id — t1_ on a reply and t3_ on a top-level comment, so a comment whose parent_id equals its post_id is top-level. ext.is_submitter is Reddit's OP badge, true when the commenter also wrote the post they are replying under, and ext.controversiality is Reddit's own flag for a comment with roughly balanced up and down votes, which the score alone hides. limit is a real depth control and not a page size: a higher limit reaches further back, at the same speed. There is no cursor, because the depth control makes one unnecessary — ask for the depth you want in one call. **Pricing is metered at 2 credits per comment RETURNED**, so an account with fewer comments than your limit costs less than you asked for. A username that does not exist returns an empty list and costs nothing, and so does a real account that has never commented — this upstream cannot tell them apart, so call /v1/reddit/profile when you need to know which it was. When the main source is unavailable, a second source answers the same call with the same fields and the same price; on those rows comment.text is Reddit's own markdown, so a link reads [text](url). A call with before has no second source and returns an error to retry.
Searching 69 platforms in parallel
What can you do with the Profile Comments API?
The Profile Comments endpoint gives you structured Reddit data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
# GET /v1/reddit/profile/comments: Metered: holds 50 credits per call up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 60: the API's own time limit for this endpoint.
# --retry 3: retries timeouts, 429 and 5xx, honoring Retry-After.
# -o response.json keeps only the final attempt's body.
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 60 --retry 3 -o response.json \
-H "x-api-key: YOUR_API_KEY" \
-H "Idempotency-Key: $IDEMPOTENCY_KEY" \
"https://www.socialcrawl.dev/v1/reddit/profile/comments?handle=spez" && cat response.json# GET /v1/reddit/profile/comments: Metered: holds 50 credits per call up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid
import requests
API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 60 # the API's own time limit for this endpoint.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/reddit/profile/comments"
def backoff(attempt):
# Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
return 2 ** attempt * (0.5 + random.random() / 2)
def socialcrawl(params):
# One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
idempotency_key = str(uuid.uuid4())
for attempt in range(MAX_RETRIES + 1):
try:
res = requests.get(
URL,
params=params,
headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
timeout=TIMEOUT_S,
)
body = res.json()
except (requests.RequestException, ValueError):
# A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if attempt == MAX_RETRIES:
raise
time.sleep(backoff(attempt))
continue
if body["success"]:
return body
error = body["error"]
# Branch on error["type"], never on the message text.
if error["type"] == "RESOURCE_NOT_FOUND":
return None # refunded: nothing to read
retry_after = res.headers.get("Retry-After")
# SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
# Retry-After (seconds) wins; otherwise back off.
time.sleep(float(retry_after) if retry_after else backoff(attempt))
params = {
"handle": "spez",
}
body = socialcrawl(params)
if body is not None:
print(body["data"])// GET /v1/reddit/profile/comments: Metered: holds 50 credits per call up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 60_000; // the API's own time limit for this endpoint.
const MAX_RETRIES = 3;
type Page = { next_cursor: string | null; has_more: boolean };
type SocialCrawlResponse =
| { success: true; data: any; pagination?: Page; credits_used: number; request_id: string }
| { success: false; error: { type: string; message: string; retryable: boolean }; request_id: string };
const sleep = (ms: number) => new Promise((resolve) => setTimeout(resolve, ms));
// Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
const backoffMs = (attempt: number) => 2 ** attempt * 1000 * (0.5 + Math.random() / 2);
async function socialcrawl(url: URL) {
// One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
const idempotencyKey = crypto.randomUUID();
for (let attempt = 0; ; attempt++) {
let res: Response;
let body: SocialCrawlResponse;
try {
res = await fetch(url, {
headers: {
"x-api-key": API_KEY,
"Idempotency-Key": idempotencyKey,
},
signal: AbortSignal.timeout(TIMEOUT_MS),
});
body = (await res.json()) as SocialCrawlResponse;
} catch (error) {
// A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
if (attempt >= MAX_RETRIES) throw error;
await sleep(backoffMs(attempt));
continue;
}
if (body.success) return body;
// Branch on error.type, never on the message text.
if (body.error.type === "RESOURCE_NOT_FOUND") return null; // refunded: nothing to read
const retryAfter = res.headers.get("Retry-After");
// SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
const permanent = body.error.type === "SERVICE_UNAVAILABLE" && retryAfter === null;
if (!body.error.retryable || permanent || attempt >= MAX_RETRIES) {
throw new Error(`${body.error.type}: ${body.error.message} (request_id ${body.request_id})`);
}
// Retry-After (seconds) wins; otherwise back off.
await sleep(retryAfter ? Number(retryAfter) * 1000 : backoffMs(attempt));
}
}
const url = new URL("https://www.socialcrawl.dev/v1/reddit/profile/comments");
url.searchParams.set("handle", "spez");
const body = await socialcrawl(url);
if (body) console.log(body.data);Parameters
| Parameter | Required | Description |
|---|---|---|
| handle | Yes | Reddit username without the u/ prefix. Case-insensitive. |
| limit | No | How many comments to return, 1-100, default 25. This is a depth control, not a page size: a higher limit reaches further back into the account's history at the same speed. |
| before | No | Only return comments older than this date (YYYY-MM-DD). Use it to walk a long history in windows instead of raising limit. |
| since | No | Only rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off each page. This list is not in date order, so the walk does not stop at the date: keep following `next_cursor`, and each page costs what a page costs even when every row on it is filtered out. A row with no date is kept. `published_after`, `start_date`, `from_date`, `publish_time` (`yesterday`, `this-week`, `this-month`, `last-3-months`, `last-6-months`) and `max_age_days` are accepted and applied as `since`. |
| until | No | Only rows published on or before this date: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. Newer rows are left off each page and the walk does not stop, so older pages follow. A row with no date is kept. `published_before`, `end_date` and `to_date` are accepted and applied as `until`. |
What does the Reddit Profile Comments API return?
Every response follows one unified schema. Here is a real, unmodified response body, so you can see the exact fields you get back before spending a credit.
Example response
{
"success": true,
"platform": "youtube",
"endpoint": "/v1/youtube/video/comments",
"data": {
"items": [
{
"comment": {
"id": "Ugzge340dBgB75hWBm54AaABAg",
"url": null,
"parent_id": null,
"post_id": "dQw4w9WgXcQ",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_607bca",
"display_name": "user_607bca",
"avatar_url": "https://example.com/avatars/user_b3bde6.png",
"verified": null
},
"engagement": {
"likes": 322497,
"replies": 1000
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2025-04-22T19:05:08.000Z",
"ext": {
"replies_token": "sc2.eyJzIjoiYSIsImMiOiJVZ3pnZTM0MGRCZ0I3NWhXQm01NEFhQUJBZyJ9",
"updated_at": "2025-04-22T19:05:08Z",
"author_channel_id": "user_0faa89",
"author_url": "https://example.com/user_fa30a8",
"viewer_rating": "Sample comment text (redacted).",
"text_original": "Sample comment text (redacted).",
"preview_replies": [
{
"id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHE9eIiztxR",
"channelId": "user_b70959",
"videoId": "dQw4w9WgXcQ",
"textDisplay": "Sample comment text (redacted).",
"textOriginal": "Sample comment text (redacted).",
"parentId": "Ugzge340dBgB75hWBm54AaABAg",
"authorDisplayName": "user_a07ce6",
"authorProfileImageUrl": "https://example.com/avatars/user_b7fd7d.png",
"authorChannelUrl": "https://example.com/user_7ab559",
"authorChannelId": {
"value": "user_5afaba"
},
"canRate": true,
"viewerRating": "Sample comment text (redacted).",
"likeCount": 7573,
"publishedAt": "2025-04-22T19:14:32Z",
"updatedAt": "2025-04-22T19:14:32Z"
},
{
"id": "Ugzge340dBgB75hWBm54AaABAg.AHE8_QAWJx9AHEAB_-JmDA",
"channelId": "user_b70959",
"videoId": "dQw4w9WgXcQ",
"textDisplay": "Sample comment text (redacted).",
"textOriginal": "Sample comment text (redacted).",
"parentId": "Ugzge340dBgB75hWBm54AaABAg",
"authorDisplayName": "user_d8b3d6",
"authorProfileImageUrl": "https://example.com/avatars/user_2ece01.png",
"authorChannelUrl": "https://example.com/user_7a3f35",
"authorChannelId": {
"value": "user_da87da"
},
"canRate": true,
"viewerRating": "Sample comment text (redacted).",
"likeCount": 3180,
"publishedAt": "2025-04-22T19:19:13Z",
"updatedAt": "2025-04-22T19:19:13Z"
}
]
}
},
"computed": {
"language": "en",
"labels": {
"sentiment": {
"level": 3,
"score_0_1": 0.85,
"confidence": 0.61
},
"question": {
"p": 0.03
},
"purchase_intent": {
"p": 0.02
},
"complaint": {
"p": 0.04
}
}
}
},
{
"comment": {
"id": "UgzjClLu_KHsDVWheGx4AaABAg",
"url": null,
"parent_id": null,
"post_id": "dQw4w9WgXcQ",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_f90324",
"display_name": "user_f90324",
"avatar_url": "https://example.com/avatars/user_191ddb.png",
"verified": null
},
"engagement": {
"likes": 1,
"replies": 0
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-10-02T15:39:20.000Z",
"ext": {
"replies_token": "sc2.eyJzIjoiYSIsImMiOiJVZ3pqQ2xMdV9LSHNEVldoZUd4NEFhQUJBZyJ9",
"updated_at": "2026-10-02T15:39:20Z",
"author_channel_id": "user_121069",
"author_url": "https://example.com/user_ec3ca5",
"viewer_rating": "Sample comment text (redacted).",
"text_original": "Sample comment text (redacted)."
}
},
"computed": {
"language": "en",
"labels": {
"sentiment": {
"level": 3,
"score_0_1": 0.76,
"confidence": 0.8
},
"question": {
"p": 0.02
},
"purchase_intent": {
"p": 0.02
},
"complaint": {
"p": 0.03
}
}
}
}
],
"next_cursor": "sc2.eyJzIjoiYSIsImMiOiJzYzEuZXlKaklqb2lXakpXTUZneU5XeGtNbFo2WkVZNWJXRllTbnBrUXpCMFVUSmtibE5YWkVKVlZscEhUakphVTFRd1NrcFNhMDVPV2pKa1NGRlZSbFJSYkVad1drVnNRMW93U2taYU1WWktZVlZPUWxkVlJrTlRWVnBFVXpKa2JsSXdSa0pWTUVwU1lWVm9TbEZ0WkVKU1YyUldVMWMxY0ZGV2JFSlJhMnhIVVRCc2Nsb3daRUpSVjJ4RldqSTVUbEV3ZEd4YU1UZzFWbFZrUmxNeWF6Rk9SWEJDVWtaV1FsRnNiRUpWVVQwOUlpd2ljeUk2V3lKVlozcG5aVE0wTUdSQ1owSTNOV2hYUW0wMU5FRmhRVUpCWnlJc0lsVm5lbXBEYkV4MVgwdEljMFJXVjJobFIzZzBRV0ZCUWtGbklsMTkifQ",
"total": null,
"labels": {
"presets": [
"sentiment",
"question"
],
"rows": 2,
"labelled": 2,
"cached": 1,
"skipped": 0,
"unjudged": 0,
"dropped": 0,
"dropped_ids": [],
"extra_credits": 0,
"methodology_version": "labels/1",
"mode": "default",
"status": "complete",
"pending": 0,
"pending_ids": []
},
"label_share": {
"policy_version": "share/1",
"presets": {
"question": {
"n": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"purchase_intent": {
"n": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"complaint": {
"n": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"sentiment": {
"positive": {
"n": 2,
"counted": 2,
"abstained": 0,
"share": null,
"low": 0.425,
"high": 1,
"receipts": [
{
"id": "Ugzge340dBgB75hWBm54AaABAg",
"text": "Sample comment text (redacted)."
},
{
"id": "UgzjClLu_KHsDVWheGx4AaABAg",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true,
"at_cut": 2,
"nulls": 0,
"low_confidence": 0
},
"neutral": {
"n": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
},
"negative": {
"n": 2,
"counted": 0,
"abstained": 0,
"share": null,
"low": 0,
"high": 0.575,
"receipts": [],
"policy_version": "share/1",
"too_few": true,
"at_cut": 0,
"nulls": 0,
"low_confidence": 0
}
}
}
},
"comment_language": {
"policy_version": "share/1",
"n": 2,
"abstained": 0,
"judged_by": {
"script": 0,
"choice": 2
},
"shares": {
"en": {
"n": 2,
"counted": 2,
"abstained": 0,
"share": null,
"low": 0.425,
"high": 1,
"receipts": [
{
"id": "Ugzge340dBgB75hWBm54AaABAg",
"text": "Sample comment text (redacted)."
},
{
"id": "UgzjClLu_KHsDVWheGx4AaABAg",
"text": "Sample comment text (redacted)."
}
],
"policy_version": "share/1",
"too_few": true
}
}
},
"comment_recency": {
"policy_version": "d09-1",
"n": 2,
"counted": 2,
"abstained": 0,
"share_last_24h": 0.5,
"share_later_half": null,
"too_few": true,
"stage": "unknown",
"order": "top",
"recent_share_is_floor": true,
"receipts": [
{
"id": "UgzjClLu_KHsDVWheGx4AaABAg",
"text": "Sample comment text (redacted)."
}
]
},
"dropped": 0
},
"credits_used": 1,
"credits_remaining": 9999,
"request_id": "req-8Kq2ZmR4vT9xLb3P",
"cached": false,
"pagination": {
"next_cursor": "sc.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",
"has_more": true,
"page_size": 2
},
"redacted": true
}Example captured from the YouTube API. Every SocialCrawl endpoint returns this same unified schema, so your Reddit Profile Comments response has the same fields.
How does the Reddit Profile Comments API work?
Send a GET request with your API key and get back clean, structured JSON in our unified schema. Supported computed fields are populated when the source provides the required inputs.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 69 platforms covering 10B+ monthly active users.
One schema, every platform
Query 69 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
When an endpoint supports these metrics and the source provides the required inputs, the normalized record includes engagement_rate, estimated_reach, content_category, and language. Ready to use.
See your data before you code
Visual Data Explorer. Paste any URL, get rich result cards, sortable tables, CSV export.
import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
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