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Universal Search Multi API
질의 하나를 고른 플랫폼마다 해당 플랫폼의 검색 엔드포인트로 보내고, 결과를 플랫폼 표시와 함께 URL 기준 중복을 걸러 목록 하나로 반환합니다. 플랫폼별로 더 볼 때 쓸 엔드포인트도 함께 알려 줍니다.
GET /v1/search/multiUniversal Search Multi API는 언제 쓰나요
여러 플랫폼의 검색 엔드포인트를 하나씩 부르는 대신 사용하세요. 순위와 요약이 붙은 결과는 search/everywhere가 맞습니다.
API 레퍼런스 영문 원문
Runs the same query on several platforms' native search endpoints at once and returns their rows together: TikTok (/v1/tiktok/search), Instagram reels (/v1/instagram/search/reels), YouTube (/v1/youtube/search), Reddit (/v1/reddit/search), Threads (/v1/threads/search), X (/v1/twitter/search/tweets), Facebook (/v1/facebook/search/posts), LinkedIn (/v1/linkedin/search/posts) and Telegram (/v1/telegram/search, whose rows are channels under author, not posts, deduped by handle). platforms picks them (default tiktok,instagram,youtube,reddit,threads). Each platform is searched by calling that platform's own endpoint, so every row in data.items is exactly the row a direct call returns, with its post and computed blocks, plus platform, and each platform is billed exactly as a direct call would be. Rows are grouped by platform in the order you asked for them, in each platform's own order, and a post URL that already appeared is dropped (data.duplicates_removed). Each platform's own filters pass through with a platform prefix, for example tiktok.region=US or reddit.sort=new. since and until keep only posts published inside a date window on every platform; a row without a date is kept. Each platform is also sent the native date filter that fits the window, so its one page holds the right posts: Threads and Facebook start_date and end_date, the X since_time: and until_time: operators (epoch seconds, so the window is exact to the second), and on TikTok, YouTube and Reddit the narrowest rolling bucket (date_posted, uploadDate, timeframe) that still reaches since, for example tiktok.date_posted=last-3-months for a date 44 days back. A filter you send yourself is never changed, and data._warnings says window_unreachable when it cannot reach since. On Instagram and LinkedIn the bucket is only suggested, because their date filter changes what the platform returns (Instagram reels lose their view counts). data.window reports what each platform was sent (native, origin, reaches_since, suggested) and how many of its rows fell outside the window. A newest-first page that ends before since (reddit.sort=new, X) says since_not_reached and names the cursor to continue with. data.sources reports each platform: status (ok, empty or failed), the rows it returned and kept, the credits it cost, its own request_id and warnings (for example the note that a Threads query was expanded), and its next_cursor, which you send as cursor to that platform's own endpoint (listed in endpoint) for its next page. This endpoint does not page itself. Native search matches your words literally; expand=context also runs up to three short searches written from your query and relevant_to (how sellers and posters phrase the same thing), merges them with your query's rows, tags each row with matched_query, and reports the searches in data.expansion. Pair it with relevance=filter and relevant_to to keep only the rows about what you mean. instagram.include=creator adds each Instagram creator's declared country, followers and public email, billed by the reel search as on a direct call. For a planned, reranked and clustered answer across more sources, use /v1/search/everywhere.
75개 플랫폼을 병렬로 검색합니다
·
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 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 SearchUniversal Search API
Multi API로 무엇을 할 수 있을까요
Multi 엔드포인트가 통합 스키마와 계산 필드를 담은 Universal Search 데이터를 한 번의 요청으로 보내드려요. 스크래핑 인프라를 직접 만들거나 유지할 필요가 없어요.
요청 예시
# GET /v1/search/multi: Free: 0 credits per call.
# --max-time 37: this endpoint's measured p99 latency x 1.5.
# --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 37 --retry 3 -o response.json \
-H "x-api-key: YOUR_API_KEY" \
-H "Idempotency-Key: $IDEMPOTENCY_KEY" \
"https://www.socialcrawl.dev/v1/search/multi?query=matcha+latte&platforms=tiktok%2Cinstagram%2Cyoutube&since=2026-09-01&until=2026-09-30&tiktok.region=US&label=sponsored&relevance=filter" && cat response.json# GET /v1/search/multi: Free: 0 credits per call.
import os
import random
import time
import uuid
import requests
API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 37 # this endpoint's measured p99 latency x 1.5.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/search/multi"
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": "matcha latte",
"platforms": "tiktok,instagram,youtube",
"since": "2026-09-01",
"until": "2026-09-30",
"tiktok.region": "US",
"label": "sponsored",
"relevance": "filter",
}
body = socialcrawl(params)
if body is not None:
print(body["data"])// GET /v1/search/multi: Free: 0 credits per call.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 37_000; // this endpoint's measured p99 latency x 1.5.
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/search/multi");
url.searchParams.set("query", "matcha latte");
url.searchParams.set("platforms", "tiktok,instagram,youtube");
url.searchParams.set("since", "2026-09-01");
url.searchParams.set("until", "2026-09-30");
url.searchParams.set("tiktok.region", "US");
url.searchParams.set("label", "sponsored");
url.searchParams.set("relevance", "filter");
const body = await socialcrawl(url);
if (body) console.log(body.data);함께 보내면 좋은 파라미터
label=sponsored게시물마다 유료 광고나 협찬인지 표시합니다. 추가 크레딧은 들지 않으며 의도와 분야 판정도 무료입니다.relevance=filter검색어와 관련 없는 결과를 제외합니다. 추가 크레딧은 들지 않습니다. relevance=score를 보내면 결과를 모두 남기고 관련도 점수를 붙입니다.since=2026-09-01이 날짜 이후에 올라온 게시물만 반환합니다. 매일 조회할 때 새 게시물이 있는 페이지만 과금됩니다.
파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| query | 예 | Keyword or phrase, sent unchanged to every platform (1-500 characters). Each platform matches it the way its own search endpoint does: Reddit matches any of the words unless you wrap a phrase in double quotes, and a phrase Threads does not recognise is expanded into narrower searches. |
| platforms | 아니오 | Comma-separated platforms to search: tiktok, instagram, youtube, reddit, threads, twitter, facebook, linkedin, telegram. Default tiktok,instagram,youtube,reddit,threads. Each one costs its own endpoint's page price, and only when its page came back with rows. |
| since | 아니오 | Keep only posts published on or after this date on every platform: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. A row with no date is kept. A platform page trimmed to nothing still costs its page, as it would on that platform's own endpoint. When you do not send a platform's own date filter, the narrowest one that reaches this date is sent for you on TikTok, YouTube and Reddit (an exact date on Threads, Facebook and X); data.window says which. |
| until | 아니오 | Keep only posts published on or before this date on every platform: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. A row with no date is kept. Sent natively as Threads and Facebook end_date and the X until_time: operator; the other platforms have no upper bound of their own, so their newer rows are dropped from the page and still cost the page. Use since and until together for a calendar month. |
| expand | 아니오 | Optional. context also searches up to three short phrases written from your query and, when you send it, relevant_to: the words the people who wrote the posts actually use. Native search reads a query literally, so a long phrase such as fake byd spare part sellers scam misses a seller who writes BYD spare parts Sharjah. Your own query always runs as well. Every row carries matched_query, the search that found it; data.expansion lists the searches with the rows each one added and its credits; data.sources.<platform>.by_query has each search's own cursor. Each extra search is billed on each platform exactly like your query (1 credit a page with rows, LinkedIn 5), and writing the searches is free. If they cannot be written in time, one search is made from the product words in your query (data._warnings says expand_fallback), or, when there are none to drop, only your query runs (expand_unavailable). Each search on each platform is one in-flight request on your API key, so one expanded call on six platforms holds up to 24 of the key's 50 at once; a search the limit refuses costs nothing and data._warnings says searches_limited. (context) |
| expand_queries | 아니오 | Optional, only with expand=context. How many extra searches to run, 1 to 3 (default 3). Each one can cost up to one more page per platform. |
| tiktok.date_posted | 아니오 | TikTok only. Sent to /v1/tiktok/search as `date_posted`, exactly as that endpoint takes it. One of: yesterday, this-week, this-month, last-3-months, last-6-months, all-time. (yesterday | this-week | this-month | last-3-months | last-6-months | all-time) |
| tiktok.sort_by | 아니오 | TikTok only. Sent to /v1/tiktok/search as `sort_by`, exactly as that endpoint takes it. One of: relevance, most-liked, date-posted. (relevance | most-liked | date-posted) |
| tiktok.region | 아니오 | TikTok only. Sent to /v1/tiktok/search as `region`, exactly as that endpoint takes it. |
| instagram.date_posted | 아니오 | Instagram only. Sent to /v1/instagram/search/reels as `date_posted`, exactly as that endpoint takes it. One of: last-week, last-month, last-year. (last-week | last-month | last-year) |
| instagram.include | 아니오 | Instagram only. Sent to /v1/instagram/search/reels as `include`, exactly as that endpoint takes it. One of: creator. (creator) |
| youtube.uploadDate | 아니오 | YouTube only. Sent to /v1/youtube/search as `uploadDate`, exactly as that endpoint takes it. One of: today, this_week, this_month, this_year. (today | this_week | this_month | this_year) |
| youtube.sortBy | 아니오 | YouTube only. Sent to /v1/youtube/search as `sortBy`, exactly as that endpoint takes it. One of: relevance, popular. (relevance | popular) |
| youtube.type | 아니오 | YouTube only. Sent to /v1/youtube/search as `type`, exactly as that endpoint takes it. One of: videos, shorts. (videos | shorts) |
| youtube.duration | 아니오 | YouTube only. Sent to /v1/youtube/search as `duration`, exactly as that endpoint takes it. One of: under_3_min, between_3_and_20_min, over_20_min. (under_3_min | between_3_and_20_min | over_20_min) |
| youtube.region | 아니오 | YouTube only. Sent to /v1/youtube/search as `region`, exactly as that endpoint takes it. |
| reddit.sort | 아니오 | Reddit only. Sent to /v1/reddit/search as `sort`, exactly as that endpoint takes it. One of: relevance, new, top, comment_count. (relevance | new | top | comment_count) |
| reddit.timeframe | 아니오 | Reddit only. Sent to /v1/reddit/search as `timeframe`, exactly as that endpoint takes it. One of: all, day, week, month, year. (all | day | week | month | year) |
| threads.start_date | 아니오 | Threads only. Sent to /v1/threads/search as `start_date`, exactly as that endpoint takes it. |
| threads.end_date | 아니오 | Threads only. Sent to /v1/threads/search as `end_date`, exactly as that endpoint takes it. |
| twitter.sort | 아니오 | X only. Sent to /v1/twitter/search/tweets as `sort`, exactly as that endpoint takes it. One of: latest, top. (latest | top) |
| facebook.start_date | 아니오 | Facebook only. Sent to /v1/facebook/search/posts as `start_date`, exactly as that endpoint takes it. |
| facebook.end_date | 아니오 | Facebook only. Sent to /v1/facebook/search/posts as `end_date`, exactly as that endpoint takes it. |
| facebook.recent_posts | 아니오 | Facebook only. Sent to /v1/facebook/search/posts as `recent_posts`, exactly as that endpoint takes it. |
| facebook.location_uid | 아니오 | Facebook only. Sent to /v1/facebook/search/posts as `location_uid`, exactly as that endpoint takes it. |
| linkedin.sort_by | 아니오 | LinkedIn only. Sent to /v1/linkedin/search/posts as `sort_by`, exactly as that endpoint takes it. One of: date_posted, relevance. (date_posted | relevance) |
| linkedin.date_posted | 아니오 | LinkedIn only. Sent to /v1/linkedin/search/posts as `date_posted`, exactly as that endpoint takes it. One of: past_24h, past_week, past_month. (past_24h | past_week | past_month) |
| linkedin.content_type | 아니오 | LinkedIn only. Sent to /v1/linkedin/search/posts as `content_type`, exactly as that endpoint takes it. One of: videos, photos, jobs, live_videos, documents, collaborative_articles. (videos | photos | jobs | live_videos | documents | collaborative_articles) |
| telegram.date_posted | 아니오 | Telegram only. Sent to /v1/telegram/search as `date_posted`, exactly as that endpoint takes it. One of: last-hour, last-day, last-week, last-month, last-year. (last-hour | last-day | last-week | last-month | last-year) |
| telegram.region | 아니오 | Telegram only. Sent to /v1/telegram/search as `region`, exactly as that endpoint takes it. |
| relevance | 아니오 | Optional. Without this param every row already carries computed.relevance against your query, free ({ p, sense, depth, spam }: is this row about what your query means, or a different thing that shares its words?), and nothing is dropped or reordered. score asks for it explicitly and waits for every row; filter also drops the rows that are not about your query, and lists their ids in data.relevance.dropped_ids. Your query is the topic; nothing to configure. A row that could not be judged is never dropped and carries relevance: null. Pagination is unchanged, so a filtered page can hold fewer rows. Free with your query as the topic; with relevant_to it adds 1 credit per started 25 newly judged rows (rows already judged for the same topic are free, and so is a cached page). (score | filter) |
| relevance_threshold | 아니오 | Optional, only with relevance. The probability (0 to 1) a row must reach to be kept by relevance=filter. Default 0.5. Lower keeps more rows, higher keeps fewer. |
| relevant_to | 아니오 | Optional, only with relevance. Up to 200 characters describing what you mean, used as the topic instead of the query. Use it when the query is ambiguous, for example query=cleopatra with relevant_to=Cleopatra, the IGT slot game. |
| judgments | 아니오 | Optional, on (the default) or off. By default every row gains free SocialCrawl judgments (computed.labels, and computed.relevance on search endpoints), reported in data.labels (mode default) and data.relevance (origin default), each with a status (complete, partial or skipped) and pending: the rows still being judged when the page was sent, which carry null now and are filled on your next call or cached read. Default judgments never add credits, never change an existing field, and never drop or reorder a row. off returns the page exactly as before, with none of those keys. label=none does the same. (on | off) |
| dry_run | 아니오 | Optional. When 1, return a cost preview for this labelled or relevance-filtered request without fetching the page or judging any row. data.estimate reports rows_expected, rows_cached, label_credits_min, label_credits_max and base_credits. 0 credits charged. (1) |
| fit | 아니오 | Optional. When goal, keep the rows and fields needed for the goal you pass in goal= (plus any that are uncertain, and the first and last), and replace the rest with a stub. data.held_back lists the held ids and a recall id that re-reads the full page from cache at no extra charge. Without this param the page is unchanged. (goal) |
| goal | 아니오 | Required by fit=goal. What you are trying to do, in your own words, up to 300 characters. |
| fit_tokens | 아니오 | Optional, only with fit=goal. Soft cap on how much of the page to keep, in tokens. Uncertain blocks and the first and last block are kept even if they exceed it. |
| label | 아니오 | Optional CSV of SocialCrawl labels to add to every post. Without this param every page already carries sponsored, intent and niche, free; label= adds the labels you name to them (the defaults keep running). sponsored, intent and niche are free when asked for too; mention, quality, ai_style, intent with offer=, and injection add 1 credit per started 25 newly judged posts. judgments=off (or label=none) turns the default labels off. sponsored: is the post a paid or gifted promotion (p, 0 to 1), did it carry a disclosure marker such as #ad or 광고 (disclosed), is it likely paid with no marker (undisclosed), and which of the accounts it mentions does it promote (brand, or null). These are signals to review, never a finding. mention (needs brand=): is the post about that brand rather than something that shares its name (about_brand, 0 to 1), how it feels about the brand on five levels (sentiment_level 0 to 4 and sentiment_score 0 to 1, null when the post is not about the brand), is it sarcastic, which aspect it talks about (taste_or_quality, price_or_value, availability_or_delivery, health_or_safety, advertising_or_campaign, customer_service, none), and did the author buy or use it (first_hand). intent: what the author is mainly doing (label: asking_for_recommendation, comparing_options, switching_away, complaining, promoting, news_or_discussion, other, or null when unsure, with confidence), whether they read as a potential buyer rather than a seller (buyer, seller), how pressing the need is (urgency, 0 to 3), and, when you pass offer=, whether your offer would plausibly help them (fits_offer). niche: which of the 33 niches of the published taxonomy sc-niche-v1 the caption belongs to, or personal_no_niche, or other (label, confidence, taxonomy), with label null when the caption is too thin to tell or the pick is unsure. It reads the caption only, not the video. quality: how much checkable detail the caption carries (fact_density 0 to 3), whether it mainly asks for likes, replies, shares, follows or tags (engagement_bait, 0 to 1), whether it is written to provoke anger as a way to get engagement (rage_bait, 0 to 1; about the writing, never the side taken), whether it only repeats someone else's news or view (secondhand, 0 to 1), and what the post is mainly doing (post_aim: inform, opinion, sell, entertain, provoke, other). exclude=engagement_bait drops posts whose engagement_bait is 0.8 or higher. ai_style: writing patterns common in AI-generated text, judged on the text alone. It does not say who wrote the post, and a person who writes in this style is flagged too. Six patterns are judged, each a probability (0 to 1): binary_contrast ("This is not X. It's Y."), faux_insight ("Here's what nobody tells you" and throat-clearing openers), colon_reveal ("The best part: it learns."), profound_kicker (ends on an aphorism or mic-drop line), puffery ("marks a pivotal moment", "highlighting the importance of") and rhetorical_setup ("What if I told you", a question the post answers itself, "Not a X. Not a Y. A Z."). Four are counted in the text: slop_words (words and phrases such as delve, leverage, robust, game changer, at the end of the day), em_dashes, emoji_bullets (lines that start with an emoji or a symbol bullet) and one_line_paragraphs (paragraphs that are one short line). pattern_count is how many patterns are present (a judged pattern at 0.8 or higher, slop_words 1 or more, em_dashes 2 or more, emoji_bullets 2 or more, one_line_paragraphs 5 or more) and markers lists their names, comma-separated. A post with less than about eight words of text is only counted, with every judged pattern 0. The judged patterns read the first 400 and the last 150 characters of a long post, and the counts read the whole post. exclude=ai_style drops posts with 2 or more patterns. ai_written: how likely the post was written by an AI model, from SocialCrawl's own text classifier, reading the opening of the post (about 1,000 characters): p (0 to 1, calibrated), level (likely (p 0.95 or higher), possible (p 0.71 or higher) or unlikely) and model (the model name; a new name means a new scale). A post under 8 words is too short to read: p null, level too_short. It is a probability, not proof: a person can be flagged and an AI-written post can pass, and the shorter the post the less certain it is. exclude=ai_written drops likely posts. injection flags text that addresses an AI system and tries to direct it (flagged, p); it never drops or rewrites a row. A post that could not be judged carries labels: null. Posts already labelled for anyone are free, and so is a cached page. data.labels reports what was judged and billed. |
| exclude | 아니오 | Optional CSV (engagement_bait, ai_style, ai_written). engagement_bait, only with label=quality, drops posts whose engagement_bait probability is 0.8 or higher. ai_style, only with label=ai_style, drops posts that show 2 or more of its writing patterns (pattern_count 2 or higher). ai_written, only with label=ai_written, drops posts whose level is likely (p 0.95 or higher), or whose p reaches your ai_written_threshold; a post too short to read is never dropped. Dropped posts are listed in data.labels.dropped_ids. A post that could not be judged is never dropped. |
| ai_written_threshold | 아니오 | Optional, only with label=ai_written and exclude=ai_written. The p (0 to 1) at which exclude=ai_written drops a post. Default 0.95 (level likely). 0.71 also drops possible posts: more AI posts go, and more posts by people with them. |
| brand | 아니오 | Required by label=mention, ignored otherwise. The brand or product the posts are judged against, up to 300 characters, for example brand=Buldak. Without it label=mention is skipped with the warning label_mention_needs_brand and is not billed. |
| brand_description | 아니오 | Optional, with label=mention. One plain sentence saying what the brand is, for example brand_description=Samyang's spicy instant noodle brand. Use it when the name is also an ordinary word or another company's name. |
| offer | 아니오 | Optional, with label=intent. One or two plain sentences saying what you sell, up to 300 characters, for example offer=A web design agency that builds websites for small businesses. Adds fits_offer to every post; without it fits_offer is null. |
| label_evidence | 아니오 | Optional, only with label=. When 1, every labelled row also carries computed.labels_evidence.<preset> = { quote, sentence_index }: the sentence in the row that most clearly shows the label, copied verbatim. Absent or null when no single sentence shows it. (1) |
응답 예시
Universal Search Multi 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": "search",
"endpoint": "/v1/search/multi",
"data": {
"query": "matcha latte",
"platforms": [
"tiktok",
"instagram"
],
"since": "2026-09-01",
"until": "2026-09-30",
"sources": {
"tiktok": {
"endpoint": "/v1/tiktok/search",
"status": "ok",
"http_status": 200,
"rows": 13,
"rows_kept": 0,
"credits": 1,
"next_cursor": null,
"has_more": false,
"request_id": "req-TUMsfjaSWSBLD3Zm",
"warnings": []
},
"instagram": {
"endpoint": "/v1/instagram/search/reels",
"status": "ok",
"http_status": 200,
"rows": 30,
"rows_kept": 3,
"credits": 1,
"next_cursor": "sc.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",
"has_more": true,
"request_id": "user_a07a27",
"warnings": []
},
"youtube": {
"endpoint": "/v1/youtube/search",
"status": "ok",
"http_status": 200,
"rows": 31,
"rows_kept": 0,
"credits": 1,
"next_cursor": "sc.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",
"has_more": true,
"request_id": "req-SKOy7JBzfvnPMcF9",
"warnings": []
}
},
"methodology_version": "search-multi/1.0",
"search_status": "complete",
"items": [
{
"platform": "instagram",
"post": {
"id": "3996845794510213634",
"url": "https://www.instagram.com/reel/Dd3phLry5IC/",
"content": {
"text": "Sample comment text (redacted).",
"media_urls": "https://instagram.fkut1-1.fna.fbcdn.net/o1/v/t2/f2/m86/AQNJHrPNr3QLepqlp0lCh7w69pHyPuKFS9vCajdlD7joS4QeK3xYx8Nqao_wZOA1b99Z59ZgktIs-44HRuSwc46lPgRKSk0MgLZumgc.mp4?_nc_cat=100&_nc_oc=AdrKa0IzAmGTnhV7UI6kWE88QDKO8OHh_dMRLfueVYrFxzg8wc5DIJ4aY7fwn3Xswi4&_nc_sid=5e9851&_nc_ht=instagram.fkut1-1.fna.fbcdn.net&_nc_ohc=h1Uhrm4HujUQ7kNvwG5rNtv&efg=eyJ2ZW5jb2RlX3RhZyI6Inhwdl9wcm9ncmVzc2l2ZS5JTlNUQUdSQU0uQ0xJUFMuQzMuNzIwLmRhc2hfYmFzZWxpbmVfMV92MSIsInhwdl9hc3NldF9pZCI6MjUyMjAyNDE1NDk0NTY2OSwiYXNzZXRfYWdlX2RheXMiOjMzLCJ2aV91c2VjYXNlX2lkIjoxMDA5OSwiZHVyYXRpb25fcyI6MTAsInVybGdlbl9zb3VyY2UiOiJ3d3cifQ%3D%3D&ccb=17-1&vs=e328e6a524494961&_nc_vs=HBksFQIYUmlnX3hwdl9yZWVsc19wZXJtYW5lbnRfc3JfcHJvZC8zOTQxNTE3MzVDRDM0MzczQThBN0JENUJFNkY1QzFFN192aWRlb19kYXNoaW5pdC5tcDQVAALIARIAFQIYUWlnX3hwdl9wbGFjZW1lbnRfcGVybWFuZW50X3YyL0QzMDM5OEQwREQ0MDRCQTM5MjA1RTJCQ0U5QjBBNDQ4X2F1ZGlvX2Rhc2hpbml0Lm1wNBUCAsgBEgAoABgAGwKIB3VzZV9vaWwBMRJwcm9ncmVzc2l2ZV9yZWNpcGUBMRUAACaK4vadkPH6CBUCKAJDMywXQCVmZmZmZmYYEmRhc2hfYmFzZWxpbmVfMV92MREAdf4HZeadAQA&_nc_gid=XTq6UyakzBPqVL4EplmFbw&_nc_ss=733ba&_nc_map=urlgen_bucketless&_nc_zt=28&oh=00_AQRxyzU2rp4VoXvBDi7HyHvGAMYpJXfg-eKtUxkUT9JjGw&oe=6AE9F179",
"thumbnail_url": "https://instagram.fkut1-1.fna.fbcdn.net/v/t51.82787-15/829332358_18102171227187687_6898373791674473123_n.jpg?stp=dst-jpg_e15_p160x160_tt6&_nc_cat=108&_nc_map=urlgen_bucketless&ig_cache_key=Mzk5Njg0NTc5NDUxMDIxMzYzNDE4MTAyMTcxMjI0MTg3Njg3.3-ccb7-5&ccb=7-5&_nc_sid=58cdad&efg=eyJ2ZW5jb2RlX3RhZyI6IkNMSVBTLnhwaWRzLjcyMC5zZHIudmlkZW9fdXNlcl9zZWxlY3RlZF90aHVtYm5haWwuQzMifQ%3D%3D&_nc_ohc=wnp6nfF_Kh8Q7kNvwF9FGfX&_nc_oc=AdqJZ-yCdtm40rXRU48lR6ZafYviIPJylfIZo2AHlpF5WcG20FN5dY8JEnQkB8KEVYg&_nc_ad=z-m&_nc_cid=1446&_nc_zt=23&_nc_ht=instagram.fkut1-1.fna&_nc_gid=XTq6UyakzBPqVL4EplmFbw&_nc_ss=733ba&oh=00_AQTb5vCwGoqDj3HBA960c0jZFAX3GKX5eGZ12I1TOAfZhw&oe=6AEDB2A9",
"duration_seconds": 10.702
},
"author": {
"username": "user_bc5957",
"display_name": null,
"avatar_url": "https://example.com/avatars/user_79be0e.png",
"verified": false
},
"engagement": {
"views": 40972,
"likes": 3639,
"comments": 0,
"shares": 975,
"saves": null
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": false,
"deleted": false
},
"published_at": "2026-09-29T11:26:35.000Z",
"ext": {
"author_id": "99000009780187",
"media_type": "video",
"instagram_views": 40972,
"published_at_epoch": 1790681195,
"coauthors": [],
"sponsored_disclosed": false,
"hashtags": [
"matchalatte",
"hojichalatte"
],
"mentions": null
}
},
"computed": {
"engagement_rate": 0.112613,
"language": "en",
"content_category": "other",
"estimated_reach": 49166,
"relevance": {
"p": 0.37,
"sense": "target",
"depth": 2.16,
"spam": 0.25
},
"labels": {
"sponsored": {
"p": 0.03,
"disclosed": false,
"undisclosed": false,
"brand": null
},
"intent": {
"label": "other",
"confidence": 0.92,
"buyer": false,
"seller": 0.07,
"fits_offer": null,
"urgency": 0.07
},
"niche": {
"label": "food_cooking",
"confidence": 0.96,
"taxonomy": "sc-niche-v1"
}
}
}
},
{
"platform": "instagram",
"post": {
"id": "3996417893595932630",
"url": "https://www.instagram.com/reel/Dd2IOZ5zOfW/",
"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": "https://instagram.fkut1-1.fna.fbcdn.net/o1/v/t2/f2/m86/AQO_VTtu720l-nSXV1zeUbcRsBhAXl52bomsFbG8CAVKfcPMpUKNmf35FEny1YThskznFJlZfP3uyl6_2yn4ro9WeNzUINf_fY-EFgk.mp4?_nc_cat=104&_nc_oc=AdrfwOkEmsLdmtQjguYqDHKPH78ZvbJ_LhxxQZZ6gLvD41ZQB8l6g_2aMJounupE5QA&_nc_sid=5e9851&_nc_ht=instagram.fkut1-1.fna.fbcdn.net&_nc_ohc=6YfBTTwjVLEQ7kNvwHXcEJC&efg=eyJ2ZW5jb2RlX3RhZyI6Inhwdl9wcm9ncmVzc2l2ZS5JTlNUQUdSQU0uQ0xJUFMuQzMuNzIwLmRhc2hfYmFzZWxpbmVfMV92MSIsInhwdl9hc3NldF9pZCI6MzA1NDUxODgxMTQyMDMzOSwiYXNzZXRfYWdlX2RheXMiOjM0LCJ2aV91c2VjYXNlX2lkIjoxMDA5OSwiZHVyYXRpb25fcyI6NTcsInVybGdlbl9zb3VyY2UiOiJ3d3cifQ%3D%3D&ccb=17-1&vs=78d91da8bd91752a&_nc_vs=HBksFQIYUmlnX3hwdl9yZWVsc19wZXJtYW5lbnRfc3JfcHJvZC8zRjI3OEU2Mzc2NjQ0QjcxQTA4NjU0NUY3NUQ2NkM1Rl92aWRlb19kYXNoaW5pdC5tcDQVAALIARIAFQIYUWlnX3hwdl9wbGFjZW1lbnRfcGVybWFuZW50X3YyL0MxRjkxRkRCMEIzRjQzRkE4RTk0NkMzMkYwNzc2MDkyX2F1ZGlvX2Rhc2hpbml0Lm1wNBUCAsgBEgAoABgAGwKIB3VzZV9vaWwBMRJwcm9ncmVzc2l2ZV9yZWNpcGUBMRUAACbmmrfLsoTtChUCKAJDMywXQEzZmZmZmZoYEmRhc2hfYmFzZWxpbmVfMV92MREAdf4HZeadAQA&_nc_gid=XTq6UyakzBPqVL4EplmFbw&_nc_ss=733ba&_nc_map=urlgen_bucketless&_nc_zt=28&oh=00_AQQZOiLlLyKA1gKfJDIsba3T5RQvBihLQ4UEuszy1vFGFA&oe=6AE9D819",
"thumbnail_url": "https://instagram.fkut1-1.fna.fbcdn.net/v/t51.82787-15/828662067_18633674440062584_4918906788510895037_n.jpg?stp=dst-jpg_e15_p160x160_tt6&_nc_cat=103&_nc_map=urlgen_bucketless&ig_cache_key=Mzk5NjQxNzg5MzU5NTkzMjYzMDE4NjMzNjc0NDM3MDYyNTg0.3-ccb7-5&ccb=7-5&_nc_sid=58cdad&efg=eyJ2ZW5jb2RlX3RhZyI6IkNMSVBTLnhwaWRzLjEyMTkuc2RyLnZpZGVvX3VzZXJfdXBsb2FkZWRfdGh1bWJuYWlsLkMzIn0%3D&_nc_ohc=_5ZV75iTOq8Q7kNvwHX2_Gj&_nc_oc=AdpTB6tyUMjpSbUw-3XWi3goBbeVY7HU0rh4X2zCRiiHkozjQqRjTek_lQHpcRY1bW4&_nc_ad=z-m&_nc_cid=1446&_nc_zt=23&_nc_ht=instagram.fkut1-1.fna&_nc_gid=XTq6UyakzBPqVL4EplmFbw&_nc_ss=733ba&oh=00_AQTN-tw7rKw8CjVBE1FK6kFQGH4WIuwQrvGZsMNeIS_FoA&oe=6AEDDC89",
"duration_seconds": 57.7
},
"author": {
"username": "user_d07d2d",
"display_name": null,
"avatar_url": "https://example.com/avatars/user_774d7b.png",
"verified": true
},
"engagement": {
"views": 40131,
"likes": 1377,
"comments": 47,
"shares": 233,
"saves": null
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": false,
"deleted": false
},
"published_at": "2026-09-28T21:17:52.000Z",
"ext": {
"author_id": "99000010893520",
"media_type": "video",
"instagram_views": 40131,
"published_at_epoch": 1790630272,
"coauthors": [
{
"id": "99000006006793",
"username": "user_d0c5a7",
"full_name": null,
"is_verified": true,
"profile_pic_url": "https://example.com/user_8ff239"
}
],
"sponsored_disclosed": false,
"hashtags": [
"matcha",
"matchalatte"
],
"mentions": [
"user_d0c5a7"
]
}
},
"computed": {
"engagement_rate": 0.04129,
"language": "pt",
"content_category": "other",
"estimated_reach": 48157,
"relevance": {
"p": 0.71,
"sense": "not_present",
"depth": 1.51,
"spam": 0.22
},
"labels": {
"sponsored": {
"p": 0.94,
"disclosed": false,
"undisclosed": true,
"brand": "@holom.br"
},
"intent": {
"label": "promoting",
"confidence": 0.87,
"buyer": false,
"seller": 0.66,
"fits_offer": null,
"urgency": 0.82
},
"niche": {
"label": "health_wellness",
"confidence": 0.71,
"taxonomy": "sc-niche-v1"
}
}
}
}
],
"total": 3,
"duplicates_removed": 0,
"credits_charged": 3,
"window": {
"since": "2026-09-01",
"until": "2026-09-30",
"platforms": {
"tiktok": {
"native": {
"date_posted": "last-3-months"
},
"origin": "auto",
"covers_days": 90,
"reaches_since": true,
"rows_outside_window": 13
},
"instagram": {
"native": {},
"origin": "none",
"reaches_since": true,
"suggested": {
"date_posted": "last-year"
},
"note": "not set for you: an Instagram date filter is served by a search with no play counts, so engagement.views is null and pages hold about 10 reels. Send it yourself to trade views for more rows in the window.",
"rows_outside_window": 27
},
"youtube": {
"native": {
"uploadDate": "this_year"
},
"origin": "auto",
"covers_days": 365,
"reaches_since": true,
"rows_outside_window": 31
}
}
},
"_warnings": [
"window_coarse: youtube.uploadDate=this_year spans 365 days for a 30-day window, so most of each one page falls outside it and is dropped. For more posts in the window, walk that platform's own search endpoint with since, until and max_pages; for YouTube, /v1/youtube/search/advanced takes exact published_after and published_before dates."
],
"relevance": {
"mode": "score",
"topic_source": "query",
"rows": 3,
"scored": 3,
"cached": 1,
"kept": 3,
"dropped": 0,
"dropped_ids": [],
"unjudged": 0,
"too_short": 0,
"threshold": 0.5,
"extra_credits": 0,
"methodology_version": "relevance/2",
"origin": "default",
"pending": 0,
"pending_ids": [],
"status": "complete"
},
"labels": {
"presets": [
"sponsored",
"intent"
],
"rows": 3,
"labelled": 3,
"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": []
},
"dropped": 0
},
"credits_used": 3,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": null,
"has_more": false,
"page_size": 3,
"typical_page_size": null,
"next_page_credits": null
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-11-02T02:43:22.306Z",
"redacted": true
}통합 응답 구조를 보여 주는 실제 샘플이에요. 필드 값은 조회한 대상에 따라 달라져요.
API 상세
Universal Search Multi 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 75개 플랫폼에서 프로필, 게시물, 댓글, 분석 데이터를 수집하세요.
모든 플랫폼을 하나의 스키마로
동일한 응답 구조로 75개 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.
문의하기API 호출 한 번으로 여러 소셜 플랫폼을 검색하려면 어떻게 하나요?
GET /v1/search/multi?query=matcha+latte&platforms=tiktok,instagram,youtube처럼 호출하면 돼요. 플랫폼마다 자기 검색 엔드포인트가 실행되고 행은 platform 값이 붙은 채로 data.items에 함께 와요.
멀티 플랫폼 검색은 어떤 플랫폼을 지원하나요?
TikTok, Instagram 릴스, YouTube, Reddit, Threads, X, Facebook, LinkedIn, Telegram이에요. 기본값은 tiktok, instagram, youtube, reddit, threads이고 platforms로 원하는 플랫폼을 골라요.
행은 플랫폼을 직접 호출한 결과와 같은가요?
네, data.items의 모든 행은 해당 플랫폼의 검색 엔드포인트가 돌려주는 행 그대로예요. post와 computed 블록에 platform 필드가 더해져요. 이미 나온 게시물 URL은 빠지고 그 수는 data.duplicates_removed에 나와요.
멀티 플랫폼 검색은 요금이 어떻게 계산되나요?
플랫폼마다 그 플랫폼 검색 엔드포인트를 직접 호출했을 때와 같은 가격으로 청구돼요. 결과가 없거나 실패한 플랫폼은 크레딧이 들지 않고 캐시된 페이지는 무료예요. 플랫폼별 청구액은 data.sources에서 볼 수 있어요. 실패하거나 빈 응답인 호출은 자동으로 환불돼요.
기간을 정해서 검색할 수 있나요?
네, since와 until을 주면 모든 플랫폼에서 그 기간 안의 게시물만 남아요. 플랫폼마다 맞는 자체 날짜 필터도 함께 보내고 data.window에 플랫폼별로 무엇을 보냈는지 나와요. 날짜가 없는 행은 그대로 남겨요.
다음 페이지는 어떻게 받고 search everywhere는 언제 쓰나요?
이 엔드포인트는 직접 페이지를 넘기지 않아요. data.sources에 플랫폼별 next_cursor가 나오고 그 값을 해당 플랫폼의 검색 엔드포인트에 보내요. 더 많은 소스를 계획해서 재정렬하고 클러스터로 묶은 답이 필요하면 GET /v1/search/everywhere를 쓰세요.
AI에게 SocialCrawl을 물어보세요
이 엔드포인트를 쓰는 활용 가이드
가이드마다 작업 하나를 처음부터 끝까지 다루고, 호출 순서와 한 번 실행할 때 드는 비용을 정리했어요. 가이드 본문은 영어예요.
Universal Search Multi 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 Universal Search 데이터를 받아 가세요.