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Universal Search Multi API
Returns each chosen platform's own search results for one query in one list, tagged by platform and deduped by URL, with each platform's own endpoint for going further.
GET /v1/search/multiLast updated November 2026Maintained by the SocialCrawl team
When to use the Universal Search Multi API
Use it instead of calling several platforms' search endpoints yourself; for a ranked, summarised answer use search/everywhere.
Not for a ranked, clustered answer with comments attached (search/everywhere), forum threads (search/forums) or news (search/news).
From the API reference
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: and until: operators, 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.
Searching 69 platforms in parallel
·
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
What can you do with the Multi API?
The Multi endpoint gives you structured Universal Search data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
# 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);Parameters worth sending
label=sponsoredMarks each post that is paid or sponsored, at no extra credits; intent and niche are free too.relevance=filterDrops rows that are not about your query, at no extra credits; relevance=score keeps them and adds a score.since=2026-09-01Returns only posts after this date, so a daily poll pays only for the pages with new posts.
Parameters
| Parameter | Required | Description |
|---|---|---|
| query | Yes | 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 | No | 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 | No | 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 | No | 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: 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 | No | 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 | No | 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 | No | 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 | No | 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 | No | TikTok only. Sent to /v1/tiktok/search as `region`, exactly as that endpoint takes it. |
| instagram.date_posted | No | 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 | No | Instagram only. Sent to /v1/instagram/search/reels as `include`, exactly as that endpoint takes it. One of: creator. (creator) |
| youtube.uploadDate | No | 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 | No | YouTube only. Sent to /v1/youtube/search as `sortBy`, exactly as that endpoint takes it. One of: relevance, popular. (relevance | popular) |
| youtube.type | No | YouTube only. Sent to /v1/youtube/search as `type`, exactly as that endpoint takes it. One of: videos, shorts. (videos | shorts) |
| youtube.duration | No | 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 | No | YouTube only. Sent to /v1/youtube/search as `region`, exactly as that endpoint takes it. |
| reddit.sort | No | 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 | No | 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 | No | Threads only. Sent to /v1/threads/search as `start_date`, exactly as that endpoint takes it. |
| threads.end_date | No | Threads only. Sent to /v1/threads/search as `end_date`, exactly as that endpoint takes it. |
| twitter.sort | No | 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 | No | Facebook only. Sent to /v1/facebook/search/posts as `start_date`, exactly as that endpoint takes it. |
| facebook.end_date | No | Facebook only. Sent to /v1/facebook/search/posts as `end_date`, exactly as that endpoint takes it. |
| facebook.recent_posts | No | Facebook only. Sent to /v1/facebook/search/posts as `recent_posts`, exactly as that endpoint takes it. |
| facebook.location_uid | No | Facebook only. Sent to /v1/facebook/search/posts as `location_uid`, exactly as that endpoint takes it. |
| linkedin.sort_by | No | 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 | No | 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 | No | 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 | No | 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 | No | Telegram only. Sent to /v1/telegram/search as `region`, exactly as that endpoint takes it. |
| relevance | No | 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 | No | 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 | No | 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 | No | 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 | No | 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 | No | 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 | No | Required by fit=goal. What you are trying to do, in your own words, up to 300 characters. |
| fit_tokens | No | 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 | No | 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 | No | 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 | No | 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 | No | 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 | No | 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 | No | 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 | No | 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) |
Example Response
What does the Universal Search Multi 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": "search",
"endpoint": "/v1/search/multi",
"data": {
"query": "matcha latte",
"platforms": [
"tiktok",
"instagram"
],
"since": "2026-09-01",
"sources": {
"tiktok": {
"endpoint": "/v1/tiktok/search",
"status": "ok",
"http_status": 200,
"rows": 30,
"rows_kept": 30,
"credits": 1,
"next_cursor": "sc.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",
"has_more": true,
"request_id": "req-NYkUiAP5oZcUvguR",
"warnings": []
},
"instagram": {
"endpoint": "/v1/instagram/search/reels",
"status": "ok",
"http_status": 200,
"rows": 30,
"rows_kept": 30,
"credits": 1,
"next_cursor": "sc.eyJ2IjoyLCJjIjoic2MxLmV5SmpJam9pTWlJc0ltc2lPaUl4Ym5SNVpXeHZNVFZ0TlRFek5qQmxPWEF6ZEdZeGNHaGljRzA1TURJMWRtSmphREUyTjJkcFpUZ3dNRGh5TW5abE1XeGtPR05pT0RCdVlXTnRPV3N3ZFRadFoyTnZNVGxxTjJoaU56RjVabTl5TW5Nd1kzZHdOVzQyTUhsdGJUaHZOekZzYjJONmJ6Y3diemQ1YVd0eU1YTmlOWGt3Y1RBd2FtWm9iemN4YjJzM01XVnhNV1Z2TmpremF6RTFkR05zYUhreGMzQnFhWGQ1TUhGMFkza3pPREZwTVROeloyNHdOR0Z4ZG5WMU1XSjRaV0ZqTXpBeU9EbDZhbmN4YVRWd2J6WjNNSGN3TVhFMGREQndkbWxuT1cwaWZRIiwiZSI6Imluc3RhZ3JhbS9zZWFyY2gvcmVlbHMiLCJwIjoicGFnZSIsInMiOiJpIn0",
"has_more": true,
"request_id": "user_a1936a",
"warnings": []
},
"youtube": {
"endpoint": "/v1/youtube/search",
"status": "ok",
"http_status": 200,
"rows": 35,
"rows_kept": 10,
"credits": 1,
"next_cursor": "sc.eyJ2IjoyLCJjIjoic2MxLmV5SmpJam9pUlc5elFrVm5lSFJaV0ZKcVlVZEZaMkpIUmpCa1IxVmhaVVpPUTFVd1RrSlZXRkpZVkcxd1QyRnNSbGxoU0VaVVZrWktjbFZzYkVwUmEwMTZZVWQ0YTFORlduQlZWRVpIVFRBNVdXTkljRzVhTUZaTlZsWmtNR05YVm5KUFZrWllWa1ZLYzFVd1VsUlJNRVpTWkVaa1dXVlVSbkZYYkdNMVRXeFNWbFpzVmxOWFZXeERVa1phUzFKV1duRlhXSEJhVFVWWk1GbFhkSEpOUm5CR1ZqTnNRbFZXYkV4UmEwWnVVMnRXUWxSSVJrSlZWa1pLVVZkb1FsZHhRVU5DUW1sQ05FOW5XVWxuZEhwYVYwWjVXVEpuZEZwdFZteGFRU1V6UkNVelJDSXNJbk1pT2xzaVZqWXpZMEY0YWtrMFpFVWlMQ0o0WlhSeFlrTlJkemw2Y3lJc0lsRnJhbnBQVUZrd1pVZzBJaXdpVmw4dFkyVnZkazFGVkVVaUxDSk5la2xsYmpabVUxRjNRU0lzSWxoTVoyZEZSVUpwZUZCVklpd2lURU5HTVRCWFgzUjFhV2NpTENKNFRrVkhjems0UjFCV1RTSXNJblk1UzBaWVMycHhhR2RaSWl3aVFWVmhTbEpYVnkxMk5UQWlMQ0k1VmpjeE5GWlBTak5PV1NJc0lsQnBSa0U0WjBjd1psWmpJaXdpVlRreVRWQm5YM0JqWVZraUxDSldjR1JNTmw5RGRGVkVRU0lzSWt3NGRuZGpZMU5UYW1kaklpd2lNVlp4V0hOSWNERmlWRGdpTENJMk1Xd3dMVUZ0WkRkclRTSXNJa2RVYm1KbmNWSkJRVGxKSWl3aVJrNHRaelJNYzJWUmFrRWlMQ0o0ZFhWM1MwSlZWVVpGYXlJc0lsSnpSVzFuZEhSUVl6SmpJaXdpWW1KcVJGRm9TM0JKZW5jaUxDSjZNWFU1VFZZMlpXZFpRU0lzSWpCRVVFNTNVa2h0U2sxQklpd2lZMkpDT1ZSNmRGaElSREFpTENJMlV6azNNWGxWUW5ST1l5SXNJakI2T1hvMU1IWnlWMmRGSWl3aVZWWm9NMmhPTFhSM0xWa2lMQ0pSVlVSUVRuVXpTRlZIYXlJc0lrWXhVRWxoTVVkdFZtNVpJaXdpTVZGQlptRk9XRW90VUc4aUxDSmplVkZ0TkY5WFEzUXdZeUlzSWswM1psTmtZbmhVVjJacklpd2lkRzFRYTJSRlUyWjNTa1VpTENKNk1ITXlXVmhFUkhZelRTSmRmUSIsImUiOiJ5b3V0dWJlL3NlYXJjaCIsInAiOiJjb250aW51YXRpb25Ub2tlbiJ9",
"has_more": true,
"request_id": "req-MucMX1cKwtm6CKc5",
"warnings": []
}
},
"methodology_version": "search-multi/1.0",
"search_status": "complete",
"items": [
{
"platform": "tiktok",
"post": {
"id": "7689610251544431894",
"url": "https://www.tiktok.com/@user_6f3010/video/7689610251544431894",
"content": {
"text": "Sample comment text (redacted).",
"media_urls": "https://v16m.tiktokcdn-us.com/d8a85367f29323ee0eee2a18b7a97a99/6abffcac/video/tos/no1a/tos-no1a-ve-0068-no/ooALUIfDqWOH9IVEAGGzlQc2LgSQQIeGfRrWte/?a=1233&bti=NEBzNTY6QGo6OjZALnAjNDQuYCMxNDNg&&bt=1173&ft=BIcq8V~3wUxl7K2gUtIvk84jWLpir61.QjKJd15hgG0P3-I&mime_type=video_mp4&rc=ZWk8NmY4NThmaTk5ODs5ZkBpajU2dGs5cmxpZDMzbzczNUA1NTUzY2JjX2ExYy0xMTEwYSM0XmovMmRraG9hLS1kMTFzcw%3D%3D&vvpl=1&l=20261002124836D0E7AAEDC1B9D7C2FA3D&btag=e000c8000",
"thumbnail_url": "https://p19-common-sign.tiktokcdn-us.com/tos-no1a-p-0037-no/oE3RUVL2IIGrVECASeIAerIWqtQlGRDWQN9feG~tplv-tiktokx-cropcenter:500:800.jpeg?biz_tag=musically_video.video_cover&dr=9638&idc=useast5&ps=13740610&refresh_token=c0f05148&shcp=9b759fb9&shp=c1333099&t=4d5b0474&x-expires=1790964000&x-signature=Li0Bg9IAbu6HKLacOQdWKUpSrQw%3D",
"duration_seconds": 39.2
},
"author": {
"username": "user_6f3010",
"display_name": "user_6f3010",
"avatar_url": "https://example.com/avatars/user_358d85.png",
"verified": false
},
"engagement": {
"views": 376020,
"likes": 40156,
"comments": 82,
"shares": 2065,
"saves": 11178
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": false,
"deleted": false
},
"published_at": "2026-09-25T22:55:22.000Z",
"ext": {
"music_id": "7369368914394056720",
"author_id": "user_92ee5c",
"author_followers": 4213,
"download_count": 245,
"region": "GB",
"published_at_epoch": 1790376922
}
},
"computed": {
"engagement_rate": 0.112502,
"language": "en",
"content_category": "other",
"estimated_reach": 451224,
"relevance": {
"p": 0.55,
"sense": "target",
"depth": 2.11,
"spam": 0.27
},
"labels": {
"sponsored": {
"p": 0.05,
"disclosed": false,
"undisclosed": false,
"brand": null
},
"intent": {
"label": "news_or_discussion",
"confidence": 0.71,
"buyer": false,
"seller": 0.17,
"fits_offer": null,
"urgency": 0.01
},
"niche": {
"label": "food_cooking",
"confidence": 0.95,
"taxonomy": "sc-niche-v1"
}
}
}
},
{
"platform": "tiktok",
"post": {
"id": "7691435325041773838",
"url": "https://www.tiktok.com/@user_86c45b/video/7691435325041773838",
"content": {
"text": "Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted). Sample comment text (redacted).",
"media_urls": "https://v16m.tiktokcdn-us.com/bd2936538782e9aea9fece68ae47283c/6abffccf/video/tos/useast5/tos-useast5-ve-0068c003-tx/o8be6A5mXSg95EIqVvFfDBgjl7zCciQERTDtEq/?a=1233&bti=NEBzNTY6QGo6OjZALnAjNDQuYCMxNDNg&&bt=1053&ft=BIcq8V~3wUxl7K2gUtIvk84jWLpir61.QjKJd15hgG0P3-I&mime_type=video_mp4&rc=ZzgzZWVoOTczZjM8aDw3NEBpamxtNnA5cmRxZDMzZzczNEBhMzAwXmFjNl4xNWEzLTRhYSNsbWNlMmRrYnJhLS1kMS9zcw%3D%3D&vvpl=1&l=20261002124836D0E7AAEDC1B9D7C2FA3D&btag=e00090000",
"thumbnail_url": "https://p19-common-sign.tiktokcdn-us.com/tos-useast5-p-0068-tx/oYgGqeFaczVuRFEIre5OezFAIrIu1LRQ3AeLG3~tplv-tiktokx-cropcenter:500:800.jpeg?biz_tag=musically_video.video_cover&dr=9638&idc=useast5&ps=13740610&refresh_token=d61c701f&shcp=9b759fb9&shp=c1333099&t=4d5b0474&x-expires=1790964000&x-signature=1odM1%2FZJT69VooNGEf%2BUjBy7H88%3D",
"duration_seconds": 74
},
"author": {
"username": "user_86c45b",
"display_name": "user_8df0f8",
"avatar_url": "https://example.com/avatars/user_4a20ab.png",
"verified": true
},
"engagement": {
"views": 1633375,
"likes": 160113,
"comments": 923,
"shares": 7309,
"saves": 14030
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": false,
"deleted": false
},
"published_at": "2026-09-30T20:57:31.000Z",
"ext": {
"music_id": "7691435337419098894",
"author_id": "user_b73841",
"author_followers": 17733411,
"download_count": 285,
"region": "US",
"published_at_epoch": 1790801851
}
},
"computed": {
"engagement_rate": 0.103066,
"language": null,
"content_category": "other",
"estimated_reach": 1960050,
"relevance": {
"p": 0.85,
"sense": "target",
"depth": 2.71,
"spam": 0.16
},
"labels": null
}
}
],
"total": 70,
"duplicates_removed": 0,
"credits_charged": 3,
"relevance": {
"mode": "score",
"topic_source": "query",
"rows": 70,
"scored": 48,
"cached": 12,
"kept": 70,
"dropped": 0,
"dropped_ids": [],
"unjudged": 0,
"too_short": 1,
"threshold": 0.5,
"extra_credits": 0,
"methodology_version": "relevance/2",
"origin": "default",
"pending": 21,
"pending_ids": [
"3998326576725417611",
"3995380615447696723"
],
"status": "partial"
},
"labels": {
"presets": [
"sponsored",
"intent"
],
"rows": 70,
"labelled": 12,
"cached": 12,
"skipped": 0,
"unjudged": 10,
"dropped": 0,
"dropped_ids": [],
"extra_credits": 0,
"methodology_version": "labels/1",
"mode": "default",
"status": "partial",
"pending": 48,
"pending_ids": [
"7691435325041773838",
"7691809618825088286"
]
},
"dropped": 0
},
"credits_used": 3,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": null,
"has_more": false,
"page_size": 70
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T12:48:41.608Z",
"redacted": true
}Live sample illustrating the unified response shape. Field values reflect the record you query.
API Details
How does the Universal Search Multi 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
Developer First
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()[ .JSON ]
{
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}FAQ
Have a question? We got answers
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usHow do I search several social platforms with one API call?
Call GET /v1/search/multi?query=matcha+latte&platforms=tiktok,instagram,youtube. Each platform runs its own search endpoint, and the rows come back together in data.items, each tagged with its platform.
Which platforms does the multi-platform search cover?
It covers TikTok, Instagram reels, YouTube, Reddit, Threads, X, Facebook, LinkedIn and Telegram. The default set is tiktok, instagram, youtube, reddit and threads, and platforms picks the ones you want.
Are the rows the same as a direct platform call?
Yes. Every row in data.items is exactly the row that platform's own search endpoint returns, with its post and computed blocks plus a platform field. A post URL that already appeared is dropped, and data.duplicates_removed counts them.
How is multi-platform search billed?
Each platform is billed at its own search endpoint's price, exactly as a direct call would be. A platform whose page found nothing or failed costs nothing, a cached platform page is free, and data.sources shows each platform's charge. Credits for failed or empty calls are refunded automatically.
Can I limit the search to a date range?
Yes. since and until keep only posts inside the window on every platform, and each platform is also sent the native date filter that fits. data.window reports what each platform was sent, and a row without a date is kept.
How do I get the next page, and when should I use search everywhere instead?
This endpoint does not page itself. Each platform reports a next_cursor in data.sources, which you send to that platform's own endpoint. For one planned, reranked and clustered answer across more sources, use GET /v1/search/everywhere instead.
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Guides that use this endpoint
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