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Reddit Omni Search API
키워드 하나로 Reddit 곳곳의 스레드를 돌려주고 상위 댓글을 top_comments에 붙입니다. 어느 서브레딧이 이야기하는지, 서브레딧별 주간 활성 사용자 수와 분위기도 함께 정리합니다.
GET /v1/reddit/omni-searchReddit Omni Search API는 언제 쓰나요
search를 돌리고 스레드마다 post/comments를 부르는 대신 한 번에 고객 반응을 훑을 때 사용하세요. 속도가 느리고 관련도도 느슨한 편입니다.
API 레퍼런스 영문 원문
Runs reddit/search, expands the top N threads' comments in parallel (capped 15/thread), and rolls up which subreddits are talking. Each thread carries its comments at threads[].top_comments (the include parameter names this block comments; the field on the response is top_comments). Each rollup row is { name, subscribers, weekly_active_users, thread_count, tone }. subscribers is how many accounts have joined the community and weekly_active_users is how many took part in the last week. The second is NOT a subset of the first, because Reddit does not require joining to post or comment: measured on r/keyboards the weekly figure (188,869) is HIGHER than the subscriber count (147,416), while on r/technology it is far lower. Read them as two independent signals, size against liveliness, and never as a ratio. Both are filled from the same source as /v1/reddit/subreddit/details and inherit its behaviour, so on a small share of rows one or both can be null while the rest of the row is unchanged. tone is one LLM label per community and degrades to null with a _warnings line rather than a silent blank. Returns sync JSON or a typed SSE stream that emits each thread as its comments land. Metered at 1 credit per search page + 1 credit per successfully-expanded thread (minimum 5); a failed thread isn't billed and the unused thread ceiling is refunded. subreddit= scopes the sweep to one community. The next_cursor resumes the search. Honest note: Reddit search is the slowest social search on the API (a 10 to 12s median, with a tail past 30s, so allow a 60s client timeout) and relevance is loose: a VoC sweep, not precision ranking.
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TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal Search
TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·Apple Music·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Yelp·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·Utility·Universal SearchReddit API
Omni Search API로 무엇을 할 수 있을까요
Omni Search 엔드포인트가 통합 스키마와 계산 필드를 담은 Reddit 데이터를 한 번의 요청으로 보내드려요. 스크래핑 인프라를 직접 만들거나 유지할 필요가 없어요.
요청 예시
# GET /v1/reddit/omni-search: Metered: holds 6 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/omni-search?query=best+mechanical+keyboard&threads=5" && cat response.json# GET /v1/reddit/omni-search: Metered: holds 6 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/omni-search"
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 = {
"query": "best mechanical keyboard",
"threads": "5",
}
body = socialcrawl(params)
if body is not None:
print(body["data"])// GET /v1/reddit/omni-search: Metered: holds 6 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/omni-search");
url.searchParams.set("query", "best mechanical keyboard");
url.searchParams.set("threads", "5");
const body = await socialcrawl(url);
if (body) console.log(body.data);파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| query | 예 | Keyword or phrase to sweep across Reddit. |
| threads | 아니오 | How many top threads to expand comments for (1-8, default 8). |
| sort | 아니오 | Search sort order (relevance | new | top | comment_count). (relevance | new | top | comment_count) |
| timeframe | 아니오 | Time window for the search (all | day | week | month | year). (all | day | week | month | year) |
| subreddit | 아니오 | Scope the sweep to one subreddit (bare name, no r/ prefix). |
| cursor | 아니오 | Opaque cursor from a prior response's next_cursor to page deeper. |
| include | 아니오 | CSV subset of subreddits,comments (default both). The comments block is returned as `threads[].top_comments`. |
응답 예시
Reddit Omni Search API는 무엇을 돌려주나요
모든 응답은 하나의 통합 스키마를 따라요. 크레딧을 쓰기 전에 어떤 필드가 돌아오는지, 실제 응답 본문 그대로 확인해 보세요.
응답 예시 보기
{
"success": true,
"platform": "reddit",
"endpoint": "/v1/reddit/omni-search",
"data": {
"threads": [
{
"post": {
"id": "1w4c63y",
"url": "https://www.reddit.com/r/keyboards/comments/1w4c63y/whats_the_best_mechanical_keyboard_in_2026_price/",
"content": {
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"media_urls": null,
"thumbnail_url": null,
"duration_seconds": null
},
"author": {
"username": "user_2094f9",
"display_name": "user_8f6b77",
"avatar_url": null,
"verified": null
},
"engagement": {
"views": null,
"likes": 14,
"comments": 48,
"shares": null,
"saves": null
},
"flags": {
"nsfw": false,
"spoiler": false,
"pinned": null,
"deleted": false
},
"published_at": "2026-09-01T13:34:26.000Z",
"ext": {
"subreddit": "keyboards",
"title": "Sample comment text (redacted).",
"selftext": "I tried my buddy's board recently with brown tactile switches he told me last week and I actually loved that little bump not too loud but you still feel it. I dont want super clicky blue loud stuff because I'm on calls a lot so I don't want to disturb em. Really want something thocky and satisfying, hot-swappable would be amazing so I can try different switches later, maybe 75% or TKL? No idea! So far what interests me are Gateron Milky Yellow, Akko, Cherry MX Browns etc. Budget is around $180, trying to keep it under if possible",
"upvote_ratio": null,
"flair": null,
"content_language": null,
"published_at_epoch": 1788269666
}
},
"computed": {
"engagement_rate": null,
"language": "en",
"content_category": "other",
"estimated_reach": null
},
"top_comments": {
"items": [
{
"comment": {
"id": "user_410bc5",
"url": "https://example.com/redacted",
"parent_id": "user_a4a2bd",
"post_id": "user_a4a2bd",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_cab8fd",
"display_name": "user_eaba57",
"avatar_url": "https://example.com/avatars/user_5a5f3a.png",
"verified": null
},
"engagement": {
"likes": 7,
"replies": 3
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-01T13:47:18.486Z",
"ext": {
"depth": 0,
"published_at_epoch": 1788270438
},
"replies": [
{
"id": "user_c68560",
"url": "https://example.com/redacted",
"parent_id": "user_410bc5",
"post_id": "user_a4a2bd",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_2094f9",
"display_name": "user_8f6b77",
"avatar_url": "https://example.com/avatars/user_fc4f3a.png",
"verified": null
},
"engagement": {
"likes": 1,
"replies": 1
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-01T14:48:18.953Z",
"ext": {
"depth": 1,
"published_at_epoch": 1788274098
},
"replies": [
{
"id": "user_53b940",
"url": "https://example.com/redacted",
"parent_id": "user_c68560",
"post_id": "user_a4a2bd",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_b33bb4",
"display_name": "user_332711",
"avatar_url": "https://example.com/avatars/user_aa4622.png",
"verified": null
},
"engagement": {
"likes": 2,
"replies": null
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-01T15:04:29.492Z",
"ext": {
"depth": 2,
"published_at_epoch": 1788275069
}
}
]
},
{
"id": "user_089350",
"url": "https://example.com/redacted",
"parent_id": "user_410bc5",
"post_id": "user_a4a2bd",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_1410cb",
"display_name": "user_7cedb8",
"avatar_url": "https://example.com/avatars/user_d4093f.png",
"verified": null
},
"engagement": {
"likes": 1,
"replies": null
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-11T08:21:00.428Z",
"ext": {
"depth": 1,
"published_at_epoch": 1789114860
}
}
]
},
"computed": {
"language": "en"
}
},
{
"comment": {
"id": "user_f68d6c",
"url": "https://example.com/redacted",
"parent_id": "user_a4a2bd",
"post_id": "user_a4a2bd",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_eaf02c",
"display_name": "user_85b9be",
"avatar_url": "https://example.com/avatars/user_497e68.png",
"verified": null
},
"engagement": {
"likes": 5,
"replies": 2
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-01T17:42:39.828Z",
"ext": {
"depth": 0,
"published_at_epoch": 1788284559
},
"replies": [
{
"id": "user_f16cdf",
"url": "https://example.com/redacted",
"parent_id": "user_f68d6c",
"post_id": "user_a4a2bd",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_2094f9",
"display_name": "user_8f6b77",
"avatar_url": "https://example.com/avatars/user_fc4f3a.png",
"verified": null
},
"engagement": {
"likes": 2,
"replies": 2
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-02T06:10:10.523Z",
"ext": {
"depth": 1,
"published_at_epoch": 1788329410
},
"replies": [
{
"id": "user_10a7e9",
"url": "https://example.com/redacted",
"parent_id": "user_f16cdf",
"post_id": "user_a4a2bd",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_eaf02c",
"display_name": "user_85b9be",
"avatar_url": "https://example.com/avatars/user_497e68.png",
"verified": null
},
"engagement": {
"likes": 2,
"replies": null
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-02T06:54:40.035Z",
"ext": {
"depth": 2,
"published_at_epoch": 1788332080
}
},
{
"id": "user_cf593e",
"url": "https://example.com/redacted",
"parent_id": "user_f16cdf",
"post_id": "user_a4a2bd",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_6b01c0",
"display_name": "user_5a9470",
"avatar_url": "https://example.com/avatars/user_b6536c.png",
"verified": null
},
"engagement": {
"likes": 2,
"replies": null
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-03T16:26:04.687Z",
"ext": {
"depth": 2,
"published_at_epoch": 1788452764
}
}
]
},
{
"id": "user_1b48b5",
"url": "https://example.com/redacted",
"parent_id": "user_f68d6c",
"post_id": "user_a4a2bd",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_30dde2",
"display_name": "user_2c2076",
"avatar_url": "https://example.com/avatars/user_7e54f5.png",
"verified": null
},
"engagement": {
"likes": 1,
"replies": null
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-05T17:15:52.436Z",
"ext": {
"depth": 1,
"published_at_epoch": 1788628552
}
}
]
},
"computed": {
"language": "en"
}
}
],
"total": 23,
"next_cursor": null
}
},
{
"post": {
"id": "1wt7c82",
"url": "https://www.reddit.com/r/keyboards/comments/1wt7c82/reputable_brands/",
"content": {
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"media_urls": null,
"thumbnail_url": null,
"duration_seconds": null
},
"author": {
"username": null,
"display_name": null,
"avatar_url": null,
"verified": null
},
"engagement": {
"views": null,
"likes": 6,
"comments": 26,
"shares": null,
"saves": null
},
"flags": {
"nsfw": false,
"spoiler": false,
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T11:15:12.000Z",
"ext": {
"subreddit": "keyboards",
"title": "Sample comment text (redacted).",
"selftext": "I've just gotten a pc (hooray) and I'm in the market for a daily driver/gaming keyboard and my initial research swayed me to Epomaker/Aula. However I found some quite troubling info about them such as not accepting warranties, viruses in their software, keyboards suddenly not working etc etc. I'm now pretty unsure on what brands are actually good and worth the money, I want to buy something I can just have for years to come and is preferably mechanical or analog. I looked up Wooting keyboards which seem great but they're a lot of money. Do any of you have a list of recommendations? Thank you in advance for your help :)",
"upvote_ratio": null,
"flair": null,
"content_language": null,
"published_at_epoch": 1790680512
}
},
"computed": {
"engagement_rate": null,
"language": "en",
"content_category": "other",
"estimated_reach": null
},
"top_comments": {
"items": [
{
"comment": {
"id": "user_38cf00",
"url": "https://example.com/redacted",
"parent_id": "user_8ef799",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_d4a43a",
"display_name": "user_bfe7ee",
"avatar_url": "https://example.com/avatars/user_28767c.png",
"verified": null
},
"engagement": {
"likes": 6,
"replies": 1
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T11:22:34.671Z",
"ext": {
"depth": 0,
"published_at_epoch": 1790680954
},
"replies": [
{
"id": "user_37e7e0",
"url": "https://example.com/redacted",
"parent_id": "user_38cf00",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_7d5ded",
"display_name": "user_e6d494",
"avatar_url": null,
"verified": null
},
"engagement": {
"likes": 2,
"replies": 2
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T11:27:24.721Z",
"ext": {
"depth": 1,
"published_at_epoch": 1790681244
},
"replies": [
{
"id": "user_df37fc",
"url": "https://example.com/redacted",
"parent_id": "user_37e7e0",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_4a4293",
"display_name": "user_50c143",
"avatar_url": "https://example.com/avatars/user_33212e.png",
"verified": null
},
"engagement": {
"likes": 4,
"replies": 1
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T11:52:25.209Z",
"ext": {
"depth": 2,
"published_at_epoch": 1790682745
},
"replies": [
{
"id": "user_3ab271",
"url": "https://example.com/redacted",
"parent_id": "user_df37fc",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted).",
"author": {
"username": "user_7d5ded",
"display_name": "user_e6d494",
"avatar_url": null,
"verified": null
},
"engagement": {
"likes": -7,
"replies": 1
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T11:53:33.804Z",
"ext": {
"depth": 3,
"published_at_epoch": 1790682813
},
"replies": [
{
"id": "user_7108d6",
"url": "https://example.com/redacted",
"parent_id": "user_3ab271",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_4a4293",
"display_name": "user_50c143",
"avatar_url": "https://example.com/avatars/user_33212e.png",
"verified": null
},
"engagement": {
"likes": 8,
"replies": 1
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T12:17:36.100Z",
"ext": {
"depth": 4,
"published_at_epoch": 1790684256
},
"replies": [
{
"id": "user_863c91",
"url": "https://example.com/redacted",
"parent_id": "user_7108d6",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_7d5ded",
"display_name": "user_e6d494",
"avatar_url": null,
"verified": null
},
"engagement": {
"likes": -8,
"replies": 1
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T12:21:25.943Z",
"ext": {
"depth": 5,
"published_at_epoch": 1790684485
},
"replies": [
{
"id": "user_81a115",
"url": "https://example.com/redacted",
"parent_id": "user_863c91",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_4a4293",
"display_name": "user_50c143",
"avatar_url": "https://example.com/avatars/user_33212e.png",
"verified": null
},
"engagement": {
"likes": 6,
"replies": null
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T12:31:15.546Z",
"ext": {
"depth": 6,
"published_at_epoch": 1790685075
}
}
]
}
]
}
]
}
]
},
{
"id": "user_934d36",
"url": "https://example.com/redacted",
"parent_id": "user_37e7e0",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_d4a43a",
"display_name": "user_bfe7ee",
"avatar_url": "https://example.com/avatars/user_28767c.png",
"verified": null
},
"engagement": {
"likes": 1,
"replies": 1
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T12:21:09.128Z",
"ext": {
"depth": 2,
"published_at_epoch": 1790684469
},
"replies": [
{
"id": "user_5b6b8f",
"url": "https://example.com/redacted",
"parent_id": "user_934d36",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_7d5ded",
"display_name": "user_e6d494",
"avatar_url": null,
"verified": null
},
"engagement": {
"likes": 1,
"replies": 1
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T12:24:32.356Z",
"ext": {
"depth": 3,
"published_at_epoch": 1790684672
},
"replies": [
{
"id": "user_8ae0fc",
"url": "https://example.com/redacted",
"parent_id": "user_5b6b8f",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_d4a43a",
"display_name": "user_bfe7ee",
"avatar_url": "https://example.com/avatars/user_28767c.png",
"verified": null
},
"engagement": {
"likes": 1,
"replies": null
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T12:54:54.098Z",
"ext": {
"depth": 4,
"published_at_epoch": 1790686494
}
}
]
}
]
}
]
}
]
},
"computed": {
"language": "en"
}
},
{
"comment": {
"id": "user_4dd5f7",
"url": "https://example.com/redacted",
"parent_id": "user_8ef799",
"post_id": "user_8ef799",
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"author": {
"username": "user_b78bf5",
"display_name": "user_74e9f2",
"avatar_url": "https://example.com/avatars/user_b6536c.png",
"verified": null
},
"engagement": {
"likes": 2,
"replies": null
},
"flags": {
"pinned": null,
"deleted": false
},
"published_at": "2026-09-29T14:10:45.972Z",
"ext": {
"depth": 0,
"published_at_epoch": 1790691045
}
},
"computed": {
"language": "en"
}
}
],
"total": 6,
"next_cursor": null
}
}
],
"subreddits": [
{
"name": "keyboards",
"subscribers": 149465,
"weekly_active_users": 153313,
"thread_count": 4,
"tone": "positive",
"tone_distribution": {
"positive": 0.6666666666666666,
"negative": 0,
"mixed": 0.2222222222222222,
"neutral": 0.1111111111111111,
"items": 12,
"counted": 9
}
},
{
"name": "buildapc",
"subscribers": 8535797,
"weekly_active_users": 1564590,
"thread_count": 1,
"tone": "positive",
"tone_distribution": {
"positive": 0.6,
"negative": 0,
"mixed": 0,
"neutral": 0.4,
"items": 6,
"counted": 5
}
}
],
"legs": [
{
"endpoint": "/v1/reddit/search",
"status": 200,
"credits_used": 1,
"latency_ms": 6483,
"error": null
},
{
"endpoint": "/v1/reddit/post/comments",
"status": 200,
"credits_used": 1,
"latency_ms": 686,
"error": null
}
],
"coverage": 1,
"partial_failure": false,
"next_cursor": "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"
},
"credits_used": 6,
"request_id": "req_example000000",
"cached": false,
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T12:43:00.707Z",
"redacted": true
}통합 응답 구조를 보여 주는 실제 샘플이에요. 필드 값은 조회한 대상에 따라 달라져요.
API 상세
Reddit Omni Search API는 어떻게 동작하나요
API 키와 함께 GET 요청을 보내면, 통합 스키마와 계산 필드를 담은 깔끔한 JSON이 돌아와요.
메서드
GET
응답 형식
JSON
개발자 우선
소셜 미디어 데이터를 몇 초 만에 수집하는 방법
개발자를 위한 가장 빠른 소셜 미디어 스크래핑 API. 월간 활성 사용자 100억 명 이상을 포괄하는 69개 플랫폼에서 프로필, 게시물, 댓글, 분석 데이터를 수집하세요.
모든 플랫폼을 하나의 스키마로
동일한 응답 구조로 69개 플랫폼을 조회하세요. 연동은 한 번이면 충분합니다.
단순 수집을 넘어 계산된 필드 제공
엔드포인트가 해당 지표를 지원하고 계산에 필요한 원본 값이 있을 때, 정규화된 레코드에 engagement_rate, estimated_reach, content_category, language를 함께 담아 바로 활용할 수 있습니다.
코드 한 줄 쓰기 전에, 데이터부터
Visual Data Explorer에 URL만 붙여넣으면 결과 카드와 정형화된 테이블, CSV 내보내기를 바로 사용할 수 있습니다.
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()[ .JSON ]
{
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}자주 묻는 질문
자주 묻는 질문
API, 요금제, 기능에 대한 질문과 답변입니다.
문의하기레딧 전체를 한 번의 호출로 검색하려면 어떻게 하나요?
API 키와 함께 GET /v1/reddit/omni-search?query=검색어 를 호출하면 돼요. SocialCrawl 레딧 검색 API가 검색을 실행하고, 상위 글들의 댓글을 병렬로 펼친 뒤, 어느 서브레딧에서 이야기되는지까지 정리해서 한 번에 돌려드려요.
댓글도 같이 오나요?
네. 각 글마다 인기 댓글이 글 아래에 중첩돼서 와요(글당 최대 15개). threads 값으로 댓글을 펼칠 상위 글 개수를 정할 수 있어요(1~8, 기본 8). 댓글이 필요 없으면 include=subreddits로 댓글 펼치기를 건너뛸 수 있어요.
특정 서브레딧으로 범위를 좁힐 수 있나요?
네. subreddit=MechanicalKeyboards 처럼 서브레딧 이름만(r/ 없이) 넘기면 그 커뮤니티 안에서만 검색해요. 그러면 서브레딧 집계도 해당 커뮤니티 하나로 모이고, 글 수와 분위기 라벨이 함께 와요.
레딧 검색 요금은 얼마인가요?
검색 페이지당 1 크레딧, 댓글을 펼친 글당 1 크레딧으로 과금되고 최소 5 크레딧이에요. 실패한 글은 청구하지 않고 쓰지 않은 만큼 환불해 드려서, 실제로 받은 결과만큼만 내면 돼요.
레딧 검색은 왜 다른 검색보다 느린가요?
레딧 검색은 API에서 가장 느린 소셜 검색이라 보통 10~12초 걸리고 관련도도 느슨해요. 그래서 정밀 랭킹보다는 여론을 훑는 용도로 쓰는 게 좋아요. Accept: text/event-stream을 보내면 글이 준비되는 대로 스트리밍으로 받을 수 있어요.
AI에게 SocialCrawl을 물어보세요
Reddit Omni Search 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 Reddit 데이터를 받아 가세요.