100 크레딧 무료, 카드 등록 없이
TikTok Search API
API 한 번의 호출로 TikTok Search 데이터를 받아 가세요. Searches TikTok for videos matching a keyword query. Returns a list of matching videos with view counts, like counts, captions, author info, and thumbnails. Every row carries post.ext.region, the ISO 3166-1 alpha-2 country TikTok registered the video to (normally the creator's account country when they posted). The region= request parameter only sets the proxy; it does not filter. Keep one country by filtering on post.ext.region. Every row also carries the creator on it: post.author.username, post.ext.author_id (the creator's numeric user id) and post.ext.author_followers, the creator's follower count as the search source reported it, so a page filtered on post.ext.region is already a creator list for that country. For the creator's current exact follower count, bio and links, pass the username or id to /v1/tiktok/profile (?handle= or ?user_id=) at 1 credit, or batch up to 50 usernames per call through POST /v1/prism/profiles at 1 credit per resolved profile. Deduplicate creators across the whole crawl first; the same creators recur across keywords.
2026년 10월 업데이트SocialCrawl 팀이 직접 관리해요
키워드에 맞는 TikTok 영상을 돌려줍니다. 항목마다 캡션, 조회수와 좋아요 수, 작성자 정보, 썸네일, 영상이 등록된 국가인 post.ext.region이 담깁니다.
날짜나 정렬 기준으로 걸러가며 영상만 검색하고 페이지를 넘길 때 사용하세요. region=은 프록시만 정하고 목록을 거르지 않으니, 한 국가만 남기려면 post.ext.region으로 거르세요. 한 번에 최대 120개, 항목마다 국가가 필요하면 limit=120을 쓰세요. 앱의 Top 탭 결과가 필요하면 search/top을 쓰세요.
68개 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 SearchTikTok API
Search API로 무엇을 할 수 있을까요
Search 엔드포인트가 통합 스키마와 계산 필드를 담은 TikTok 데이터를 한 번의 요청으로 보내드려요. 스크래핑 인프라를 직접 만들거나 유지할 필요가 없어요.
요청 예시
curl -H "x-api-key: YOUR_API_KEY" \
"https://www.socialcrawl.dev/v1/tiktok/search?query=cooking+recipes&limit=120®ion=ES&label=sponsored&relevance=filter&date_posted=yesterday"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/tiktok/search",
params={
'query': 'cooking recipes',
'limit': '120',
'region': 'ES',
'label': 'sponsored',
'relevance': 'filter',
'date_posted': 'yesterday',
},
headers={"x-api-key": "YOUR_API_KEY"},
)
data = response.json()const response = await fetch(
"https://www.socialcrawl.dev/v1/tiktok/search?query=cooking+recipes&limit=120®ion=ES&label=sponsored&relevance=filter&date_posted=yesterday",
{
headers: { "x-api-key": "YOUR_API_KEY" },
},
);
const data = await response.json();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.date_posted=yesterday이 기간에 올라온 게시물만 반환합니다.
파라미터
| 파라미터 | 필수 | 설명 |
|---|---|---|
| query | 예 | Search keyword or phrase to find TikTok videos |
| date_posted | 아니오 | Time Frame (yesterday | this-week | this-month | last-3-months | last-6-months | all-time) |
| sort_by | 아니오 | Sort by (relevance | most-liked | date-posted) |
| region | 아니오 | Sets the proxy country (ISO 3166-1 alpha-2). It does not filter the page to that country. Each row already carries post.ext.region, the country the video is registered to; filter on that leaf when you need only one country. |
| cursor | 아니오 | Cursor to get more videos. Get 'cursor' from previous response. Ignored when `limit` is above 30: that call is a single page. |
| trim | 아니오 | Accepted for compatibility; the response is already the canonical shape, so this flag has no effect. |
| limit | 아니오 | A limit of 30 or less returns the first limit rows of the normal page for 1 credit; next_cursor still steps the whole page of about 30, so the rest of that page is skipped. A limit above 30 selects the bulk labeled page: up to 120 videos in one call, each with post.ext.region. The value rounds up to the next multiple of 30 (60, 90 or 120). 17 credits at 60, 32 at 120; slots the source does not fill are refunded. date_posted and sort_by apply on the bulk page too. The source can repeat a video; repeats are removed, so a 120 page is often a little under 120 unique videos. Does not filter by country; drop rows yourself on post.ext.region. |
| 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, 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. 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), only with label=quality. Drops posts whose engagement_bait probability is 0.8 or higher and lists their ids in data.labels.dropped_ids. A post that could not be judged is never dropped. |
| 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) |
| since | 아니오 | Only rows published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Rows older than it are left off each page. This list is not in date order, so the walk does not stop at the date: keep following `next_cursor`, and each page costs what a page costs even when every row on it is filtered out. A row with no date is kept. `published_after`, `start_date`, `from_date`, `publish_time` (`yesterday`, `this-week`, `this-month`, `last-3-months`, `last-6-months`) and `max_age_days` are accepted and applied as `since`. |
| until | 아니오 | Only rows published on or before this date: YYYY-MM-DD (that whole UTC day is included) or an ISO 8601 timestamp. Newer rows are left off each page and the walk does not stop, so older pages follow. A row with no date is kept. `published_before`, `end_date` and `to_date` are accepted and applied as `until`. |
| min_views | 아니오 | Keep only rows with at least this many views (`post.engagement.views`). A row whose view count is unknown is discarded, so every returned row meets the floor. Filtering runs on our side after each page is fetched, so every page walked is billed as usual; `data.walk.discarded` counts what was removed and why. |
| max_age_days | 아니오 | Keep only rows published within this many days (`post.published_at`), 1 to 3650. A row with no date is discarded. Filtering runs on our side after each page is fetched, so every page walked is billed as usual; `data.walk.discarded` counts what was removed and why. |
| country | 아니오 | Comma-separated two-letter ISO 3166-1 codes, for example `US,GB`. Keep only videos TikTok registers to one of these countries (`post.ext.region`); a row with no country is discarded. This filters rows; it does not change where the search runs (that is `region`). Filtering runs on our side after each page is fetched, so every page walked is billed as usual; `data.walk.discarded` counts what was removed and why. |
| exclude_country | 아니오 | Comma-separated two-letter ISO 3166-1 codes, for example `IN`. Discard videos TikTok registers to any of these countries (`post.ext.region`); a row with no country is kept. Filtering runs on our side after each page is fetched, so every page walked is billed as usual; `data.walk.discarded` counts what was removed and why. |
| sort_rows | 아니오 | `views`: return the kept rows ordered by view count, highest first, across every page walked. Rows without a view count go last. (views) |
| max_pages | 아니오 | 1 to 5 (default 1). Walk up to this many pages in one call and return the rows from all of them (after any filter). Each page walked is billed exactly as one call to this endpoint (a cached page is free) and counts against your rate limit. The walk stops early at the last page, or when the request's time budget runs low; `data.walk.stopped` says why (`end`, `max_pages`, `time_budget`, `page_error`) and `data.next_cursor` continues from where it stopped. |
| seen | 아니오 | An id you choose (1 to 64 letters, digits, `.`, `_` or `-`). Rows your account already received under the same `seen` id are removed from the page, and the page price falls with the share of repeats: page credits x new rows / rows on the page, rounded up, so a page of nothing but repeats is free. Only the page's own price is discounted: credits for joined data (`include=`) are charged only for rows you have not received, and are never discounted. The memory lasts 24 hours from the last call that used the id, holds row ids only, and is private to your account. Use one id across a set of related searches; `data.walk.repeats` counts what was removed. |
응답 예시
TikTok 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": "tiktok",
"endpoint": "/v1/tiktok/search",
"data": {
"items": [
{
"post": {
"id": "7654273990533434657",
"url": "https://www.tiktok.com/@user_83a4f7/video/7654273990533434657",
"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://v45.tiktokcdn-eu.com/6b8d15482b3047bcd3125a7cda86d5b2/6ac0ad58/video/tos/useast2a/tos-useast2a-ve-0068c001-euttp/o83ANW8MYQW8G2oRf4eeB52cyG3ABQQiWgFfIA/?a=1233&bti=NEBzNTY6QGo6OjZALnAjNDQuYCMxNDNg&&bt=749&ft=td_Lr8QLodzR12Nv416qzIxRne1EHF_45SY&mime_type=video_mp4&rc=Zmk7aTdoOjszZDUzMzNoOkBpamdwdmw5cjZxOzMzZjczNUBgMDAuLTY0NS8xMS1fM2E1YSNrby1vMmRzL3BhLS1kMTNzcw%3D%3D&vvpl=1&l=20261002072233B02BC259EE528DC84245&btag=e0004d000",
"thumbnail_url": "https://p16-common-sign.tiktokcdn-eu.com/tos-useast2a-p-0037-euttp/ogwa5At7LzQxFiI1oHifBAoZtccBivI3IBByCH~tplv-tiktokx-cropcenter:500:800.jpeg?biz_tag=musically_video.video_cover&dr=10397&idc=no1a&ps=13740610&refresh_token=74733555&shcp=9b759fb9&shp=c1333099&t=4d5b0474&x-expires=1790946000&x-signature=PQSPaUw3rsDOcy%2BZK9VrEB9Z8bs%3D",
"duration_seconds": 30.255
},
"author": {
"username": "user_83a4f7",
"display_name": "user_b74e08",
"avatar_url": "https://example.com/avatars/user_6a0a05.png",
"verified": false
},
"engagement": {
"views": 12605667,
"likes": 1203752,
"comments": 1740,
"shares": 137145,
"saves": 418119
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": false,
"deleted": false
},
"published_at": "2026-06-22T17:32:25.000Z",
"ext": {
"music_id": "7654274017737739040",
"author_id": "user_558467",
"author_followers": 744116,
"download_count": 21838,
"region": "DZ",
"published_at_epoch": 1782149545
}
},
"computed": {
"engagement_rate": 0.106511,
"language": "en",
"content_category": "food",
"estimated_reach": 15126800,
"relevance": {
"p": 0.96,
"sense": "target",
"depth": 2.96,
"spam": 0.17
},
"labels": null
}
},
{
"post": {
"id": "7690673524758924557",
"url": "https://www.tiktok.com/@user_534aa6/video/7690673524758924557",
"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://v45.tiktokcdn-eu.com/b38ef6974795af88f5a4e632476dd62c/6ac0ad77/video/tos/alisg/tos-alisg-ve-37c799-sg/ogwq3LEhi4SrBi89PRSCiQKxU6wrAEzIgaBJ3/?a=1233&bti=NEBzNTY6QGo6OjZALnAjNDQuYCMxNDNg&&bt=1335&ft=td_Lr8QLodzR12Nv416qzIxRne1EHF_45SY&mime_type=video_mp4&rc=aDg1ZjxoODY0Nmk4OWZoaUBpM3Y8NXE5cm1mZDMzZzczNEBeNDYtYDNgXi4xYjUyXjRfYSNlMHEyMmQ0MnFhLS1kMS9zcw%3D%3D&vvpl=1&l=20261002072233B02BC259EE528DC84245&btag=e00095000",
"thumbnail_url": "https://p16-common-sign.tiktokcdn-eu.com/tos-useast5-p-0068-tx/oowqrLEJi4yrBi8EPRmCiDKhU6urAIzIgaBB3~tplv-tiktokx-cropcenter:500:800.jpeg?biz_tag=musically_video.video_cover&dr=10397&idc=no1a&ps=13740610&refresh_token=da5333f1&shcp=9b759fb9&shp=c1333099&t=4d5b0474&x-expires=1790946000&x-signature=7LtahFZ51VBnXD0CudxZEW7jXnk%3D",
"duration_seconds": 61.068
},
"author": {
"username": "user_534aa6",
"display_name": "user_534aa6",
"avatar_url": "https://example.com/avatars/user_4d78da.png",
"verified": false
},
"engagement": {
"views": 7314181,
"likes": 599577,
"comments": 820,
"shares": 94755,
"saves": 214954
},
"flags": {
"nsfw": null,
"spoiler": null,
"pinned": false,
"deleted": false
},
"published_at": "2026-09-28T19:41:19.000Z",
"ext": {
"music_id": "7690673470694329102",
"author_id": "user_eedff9",
"author_followers": 1199802,
"download_count": 5664,
"region": "US",
"published_at_epoch": 1790624479,
"on_screen_texts": [
"crispy cheeseburger sauce ",
"H O W T O M A K E"
]
}
},
"computed": {
"engagement_rate": 0.095042,
"language": "en",
"content_category": "food",
"estimated_reach": 8777017,
"relevance": {
"p": 0.96,
"sense": "target",
"depth": 2.98,
"spam": 0.06
},
"labels": {
"sponsored": {
"p": 0.05,
"disclosed": false,
"undisclosed": false,
"brand": null
},
"intent": {
"label": null,
"confidence": 0.45,
"buyer": false,
"seller": 0.29,
"fits_offer": null,
"urgency": 0.22
},
"niche": {
"label": "food_cooking",
"confidence": 1,
"taxonomy": "sc-niche-v1"
}
}
}
}
],
"next_cursor": "sc2.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",
"total": null,
"relevance": {
"mode": "score",
"topic_source": "query",
"rows": 30,
"scored": 18,
"cached": 4,
"kept": 30,
"dropped": 0,
"dropped_ids": [],
"unjudged": 0,
"too_short": 0,
"threshold": 0.5,
"extra_credits": 0,
"methodology_version": "relevance/2",
"origin": "default",
"pending": 12,
"pending_ids": [
"7684307012724837662",
"7671320673448512781"
],
"status": "partial"
},
"labels": {
"presets": [
"sponsored",
"intent"
],
"rows": 30,
"labelled": 18,
"cached": 7,
"skipped": 0,
"unjudged": 0,
"dropped": 0,
"dropped_ids": [],
"extra_credits": 0,
"methodology_version": "labels/1",
"mode": "default",
"status": "partial",
"pending": 12,
"pending_ids": [
"7654273990533434657",
"7683950649427365153"
]
},
"dropped": 0
},
"credits_used": 1,
"request_id": "req_example000000",
"cached": false,
"pagination": {
"next_cursor": "sc.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",
"has_more": true,
"page_size": 30
},
"credits_remaining": 9999,
"source": "captured",
"captured_at": "2026-10-02T07:22:36.736Z",
"redacted": true
}통합 응답 구조를 보여 주는 실제 샘플이에요. 필드 값은 조회한 대상에 따라 달라져요.
API 상세
TikTok 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 68개 플랫폼에서 프로필, 게시물, 댓글, 분석 데이터를 수집하세요.
모든 플랫폼을 하나의 스키마로
동일한 응답 구조로 68개 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.
문의하기TikTok 영상을 키워드로 검색하려면요?
query 파라미터에 검색어를 담아 GET /v1/tiktok/search를 호출하면 돼요. 조회수, 좋아요, 댓글 수, 공유 수, 캡션, 썸네일, 작성자 정보가 담긴 검색 결과를 페이지 단위로 받아볼 수 있어요.
검색 결과를 날짜로 좁힐 수 있나요?
네, date_posted에 yesterday, this-week, this-month, last-3-months, last-6-months, all-time 중 하나를 넘기면 돼요. sort_by와 함께 쓰면 원하는 영상만 좁혀서 받아볼 수 있어요.
검색 결과는 어떻게 정렬하나요?
sort_by에 relevance(기본), most-liked, date-posted 중 하나를 넘기시면 돼요. date_posted와 조합하면 최근 바이럴 영상이나 꾸준한 인기 영상을 골라 받아볼 수 있어요.
region 파라미터는 국가별 필터인가요?
아니에요. region은 프록시를 해당 국가(예: US, GB, FR)로 두어 그 지역에서 노출되는 콘텐츠에 접근하도록 해요. 해당 국가 출신 크리에이터만 필터링하지는 않아요.
이 엔드포인트는 요금이 얼마인가요?
한 번 요청에 1 크레딧이 소진돼요(스탠다드 티어). 한 페이지에 담기는 영상 수와 상관없이 비용은 동일해요. 새 계정에는 100 크레딧이 무료로 들어가요.
AI에게 SocialCrawl을 물어보세요
TikTok Search 데이터, 가져올 준비 되셨어요?
API 키 받고 60초 안에 TikTok 데이터를 받아 가세요.