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TikTok Ad Library Search API

Returns TikTok Ad Library ads matching a keyword or advertiser name, each with creative, title, advertiser, impressions and date; include=ad adds the brand, landing page and advertiser link.

GET /v1/tiktok/adlibrary/search

Last updated November 2026Maintained by the SocialCrawl team

When to use the TikTok Ad Library Search API

Use it to find ads by query or advertiser_name; pass an ad id from the results to adlibrary/ad for the full record.

From the API reference

Returns ads from the TikTok Ad Library (the EU Commercial Content Library) matching a keyword or advertiser name, 12 per page. Each ad carries the creative video, the title, the advertiser name, the impression estimate at engagement.views, the spend band, the first-shown date and the audit status. The search row publishes no brand, landing page, advertiser account or avatar, so on a plain call post.ext.ad.brand_name, post.ext.ad.landing_page, post.ext.ad.profile_web_link and post.author.avatar_url are null on every row. Send include=ad and every row is joined, in the same call, to the per-ad lookup that carries them: the registered brand name, the landing page, the advertiser's TikTok profile link and avatar, and where the library has them the campaign objectives, the countries the ad ran in and the ad source. Cost: 5 credits for the page plus 1 credit per ad filled from a fresh lookup (12 ads, so 17 at most); ads already in cache are filled for free, ads that could not be filled are refunded, and a repeat within the cache window is 0. Time: a plain call is 4 to 19 seconds; include=ad adds 5 to 20 seconds on a fresh page (the lookups run in parallel and the call waits for the slowest, never more than 20 seconds) and nothing when the ads are already cached. limit=N (1 to 12) takes the top N ads and, with include, caps the extra credits at N. The response carries a hydration block itemising rows, lookups, cache hits, credits and milliseconds. Like, comment and share counts are not published by the library on either call. Page with cursor.

Searching 69 platforms in parallel

·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
·TikTok logoTikTok·Instagram logoInstagram·YouTube logoYouTube·Facebook logoFacebook·X logoX·LinkedIn logoLinkedIn·Reddit logoReddit·Threads logoThreads·Pinterest logoPinterest·Twitch logoTwitch·Truth Social logoTruth Social·Snapchat logoSnapchat·Kick logoKick·Bluesky logoBluesky·Kwai logoKwai·Rumble logoRumble·Spotify logoSpotify·Apple Music logoApple Music·TikTok Shop logoTikTok Shop·Amazon Shop logoAmazon Shop·Google Shopping logoGoogle Shopping·Trustpilot logoTrustpilot·TripAdvisor logoTripAdvisor·Yelp logoYelp·Linktree logoLinktree·Komi logoKomi·Pillar logoPillar·lnk.bio logolnk.bio·Facebook Ads logoFacebook Ads·Google Ads logoGoogle Ads·LinkedIn Ads logoLinkedIn Ads·Google Search logoGoogle Search·Google News logoGoogle News·Finance logoFinance·Polymarket logoPolymarket·Tavily logoTavily·Hacker News logoHacker News·GitHub logoGitHub·Perplexity logoPerplexity·Naver logoNaver·Utility logoUtility·Universal Search logoUniversal Search
TikTok API

What can you do with the Ad Library Search API?

The Ad Library Search endpoint gives you structured TikTok data with computed fields in a single request. No scraping infrastructure to build or maintain.

Example Request

# GET /v1/tiktok/adlibrary/search: Metered: holds 5 credits per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
# --max-time 16: 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.
# Next page: send pagination.next_cursor back as cursor until pagination.has_more is false.
IDEMPOTENCY_KEY=$(od -An -N16 -tx1 /dev/urandom | tr -d ' \n')
curl -sS --max-time 16 --retry 3 -o response.json \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  "https://www.socialcrawl.dev/v1/tiktok/adlibrary/search?advertiser_name=Gymshark" && cat response.json
# GET /v1/tiktok/adlibrary/search: Metered: holds 5 credits per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
# Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
import os
import random
import time
import uuid

import requests

API_KEY = os.environ.get("SOCIALCRAWL_API_KEY", "YOUR_API_KEY")
TIMEOUT_S = 16  # this endpoint's measured p99 latency x 1.5.
MAX_RETRIES = 3
URL = "https://www.socialcrawl.dev/v1/tiktok/adlibrary/search"


def backoff(attempt):
    # Exponential backoff with jitter: about 1 s, 2 s, then 4 s.
    return 2 ** attempt * (0.5 + random.random() / 2)


def socialcrawl(params):
    # One Idempotency-Key per request, reused on every retry, so a retried call is never charged twice.
    idempotency_key = str(uuid.uuid4())
    for attempt in range(MAX_RETRIES + 1):
        try:
            res = requests.get(
                URL,
                params=params,
                headers={"x-api-key": API_KEY, "Idempotency-Key": idempotency_key},
                timeout=TIMEOUT_S,
            )
            body = res.json()
        except (requests.RequestException, ValueError):
            # A timeout, a dropped connection or a non-JSON gateway page: retry with the same key.
            if attempt == MAX_RETRIES:
                raise
            time.sleep(backoff(attempt))
            continue
        if body["success"]:
            return body
        error = body["error"]
        # Branch on error["type"], never on the message text.
        if error["type"] == "RESOURCE_NOT_FOUND":
            return None  # refunded: nothing to read
        retry_after = res.headers.get("Retry-After")
        # SERVICE_UNAVAILABLE without Retry-After is a withdrawn endpoint: permanent.
        permanent = error["type"] == "SERVICE_UNAVAILABLE" and retry_after is None
        if not error.get("retryable") or permanent or attempt == MAX_RETRIES:
            raise RuntimeError(f"{error['type']}: {error['message']} (request_id {body['request_id']})")
        # Retry-After (seconds) wins; otherwise back off.
        time.sleep(float(retry_after) if retry_after else backoff(attempt))


params = {
    "advertiser_name": "Gymshark",
}

# Walk the list: send pagination.next_cursor back as cursor until has_more is false.
MAX_PAGES = 10  # each page is one call
items = []
for _ in range(MAX_PAGES):
    body = socialcrawl(params)
    if body is None:
        break
    items.extend(body["data"]["items"])
    page = body.get("pagination") or {}
    if not page.get("has_more") or not page.get("next_cursor"):
        break
    params["cursor"] = page["next_cursor"]
print(f"{len(items)} items")
// GET /v1/tiktok/adlibrary/search: Metered: holds 5 credits per page up front and refunds what the call does not use. Cache hits are free and failed calls are refunded.
// Check the price first for 0 credits: add dry_run=1 to the query. Nothing is fetched or charged.
const API_KEY = process.env.SOCIALCRAWL_API_KEY ?? "YOUR_API_KEY";
const TIMEOUT_MS = 16_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/tiktok/adlibrary/search");
url.searchParams.set("advertiser_name", "Gymshark");

// Walk the list: send pagination.next_cursor back as cursor until has_more is false.
const MAX_PAGES = 10; // each page is one call
const items: unknown[] = [];
for (let page = 0; page < MAX_PAGES; page++) {
  const body = await socialcrawl(url);
  if (!body) break;
  items.push(...body.data.items);
  const next = body.pagination?.next_cursor;
  if (!body.pagination?.has_more || !next) break;
  url.searchParams.set("cursor", next);
}
console.log(`${items.length} items`);

Parameters

ParameterRequiredDescription
queryNoKeyword or phrase to search the TikTok Ad Library.
advertiser_nameNoAdvertiser name as it appears in the TikTok Ad Library.
cursorNoCursor from the previous response to fetch the next page.
includeNoSet to `ad` (one token only) to fill the registered brand name, the landing page, the advertiser's TikTok profile link and avatar (`post.ext.ad.brand_name`, `post.ext.ad.landing_page`, `post.ext.ad.profile_web_link`, `post.author.avatar_url`), plus the objectives, countries and source where the library has them, on every ad in this one call. Holds 1 credit per ad (at most 12, or `limit`) and keeps only the ads filled from a fresh lookup; ads already in cache and ads that could not be filled are refunded, so the most a call can cost is 5 + ads. Adds 5 to 20 seconds on a fresh page (never more than 20) and nothing when the ads are already cached; read `data.hydration` for the rows, the credits held and kept, and the time. (ad)
limitNoTake the top N ads of the page (1 to 12) after the search has run. With `include=ad` it also caps the extra credits at N: `limit=3&include=ad` costs at most 8. It is not a page size: `next_cursor` still advances past the full page.
sinceNoOnly 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`.
untilNoOnly 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`.
max_pagesNo1 to 50 (default 1, or 50 when `max_items` or `max_credits` is sent). Walk up to this many pages in one call and return the rows from all of them. Each page walked is billed exactly as one call to this endpoint (a cached page is free) and counts against your rate limit; its charge and any refund are recorded under the page's own request id, listed in `data.walk.request_ids`. 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`, `max_items`, `max_credits`, `time_budget`, `page_error`) and `pagination.next_cursor` continues from where it stopped.
max_itemsNo1 to 5000. Get more in one call: keep walking pages until the response holds at least this many rows, then stop with `data.walk.stopped: "max_items"`. The last page is returned whole (it was billed), so `data.items` can hold up to one page more than this, and `pagination.next_cursor` resumes right after it without skipping a row. Walks up to 50 pages unless `max_pages` says fewer; each page is billed as one call (a cached page is free). Add `max_credits` to cap the spend. A long walk can stop on the time budget first (`"time_budget"`): send the returned cursor with the same params to continue.
max_creditsNo1 to 100000. The most this call may spend, across every page it walks. A page starts only while the credits already spent plus that page's price (or, when higher, the most any page of this walk has cost) still fit, so the call never goes past it; the walk then stops with `data.walk.stopped: "max_credits"` and the cursor to resume. Sent alone, it walks as far as the budget goes (up to 50 pages). A value below the price of one page is a free 400 whose `error.details.page_credits` names that price. Credits a row join (`include=`) adds are known only once a page has run, so page 1 is checked against its own price.
Example Response

What does the TikTok Ad Library Search 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": "tiktok",
  "endpoint": "/v1/tiktok/adlibrary/search",
  "data": {
    "items": [
      {
        "post": {
          "id": "1875950426759393",
          "url": "https://library.tiktok.com/ads/detail/?id=1875950426759393",
          "content": {
            "text": "Sample comment text (redacted).",
            "media_urls": "https://library.tiktok.com/api/v1/cdn/1790955602/video/aHR0cHM6Ly92MTZtLnRpa3Rva2Nkbi5jb20vMWNkMTQyZGE4NjdiOTY3MTg5ZDdhMmI3NjA2NzdlZWUvNmFjMDI0YzUvdmlkZW8vdG9zL3VzZWFzdDJhL3Rvcy11c2Vhc3QyYS12ZS0wMDUxYzc5OS1ldXR0cC9va2VHQWU5M3RBMGJHZm1ROFlpSUFiQ2dvREdMZ083UFRLSEFiSS8=/333cccf1-d443-43a9-a1d4-1425ef2e0065?a=475769&bt=407&btag=e000b8000&bti=PDU2NmYwMy86&ft=.NpOcInz7ThBcg4GXq8Zmo&l=20261002234001F7F79306A9DDC59CA559&mime_type=video_mp4&rc=ZDo5ODNmZTk5PGZmOzM3Z0BpajQ0cWw5cmlvZDMzODYzNEBeNi0uL140XjExLjQuMC01YSNyXjMxMmRzamRhLS1kMDFzcw%3D%3D&signature=pySkbA6%2BOo%2B3IlSi9BfHkSY3G4z6mkdE84P1DKhY1HI%3D&vvpl=1",
            "thumbnail_url": "https://p16-common-sign.tiktokcdn.com/tos-alisg-p-0051c001-sg/o4QGNFTAeCVlDsDEQfPtfgJAEj6HAGxtW2jAbP~tplv-tiktokx-origin.jpeg?dr=14582&refresh_token=99818dc9&x-expires=1790974800&x-signature=2VA8dpjOqeVdK0Oww0jlZzx5X50%3D&t=4d5b0474&ps=13740610&shp=0c75dd76&shcp=9b759fb9&idc=sg1",
            "duration_seconds": null
          },
          "author": {
            "username": "user_4c69b3",
            "display_name": "user_4c69b3",
            "avatar_url": null,
            "verified": false
          },
          "engagement": {
            "views": 0,
            "likes": null,
            "comments": null,
            "shares": null,
            "saves": null
          },
          "flags": {
            "nsfw": null,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-09-10T00:00:00.000Z",
          "ext": {
            "published_at_epoch": 1788998400000,
            "ad": {
              "estimated_audience": "10K-100K",
              "spent": "",
              "audit_status": "1",
              "last_shown_date": 1790812800000,
              "type": "2",
              "image_urls": [
                "https://p16-common-sign.tiktokcdn.com/tos-alisg-p-0051c001-sg/o4QGNFTAeCVlDsDEQfPtfgJAEj6HAGxtW2jAbP~tplv-tiktokx-origin.jpeg?dr=14582&refresh_token=99818dc9&x-expires=1790974800&x-signature=2VA8dpjOqeVdK0Oww0jlZzx5X50%3D&t=4d5b0474&ps=13740610&shp=0c75dd76&shcp=9b759fb9&idc=sg1"
              ]
            }
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "en",
          "content_category": "other",
          "estimated_reach": null
        }
      },
      {
        "post": {
          "id": "1876714855831730",
          "url": "https://library.tiktok.com/ads/detail/?id=1876714855831730",
          "content": {
            "text": "Sample comment text (redacted).",
            "media_urls": "https://library.tiktok.com/api/v1/cdn/1790955602/video/aHR0cHM6Ly92MTZtLnRpa3Rva2Nkbi5jb20vYmMyMmQ0ZTgwNDI5YzFhMDZkOTg0OWFmYWNlMTZjZjIvNmFjMDI0YmEvdmlkZW8vdG9zL3VzZWFzdDJhL3Rvcy11c2Vhc3QyYS12ZS0wMDUxYzc5OS1ldXR0cC9vb3REUERHYUw1ZXZRQkFmeWJCOEFDb0dSVzVRSWdOZUFWQWpuSS8=/4c3fe79c-7078-4303-83b3-0726d3849a56?a=475769&bt=404&btag=e000b0000&bti=PDU2NmYwMy86&ft=.NpOcInz7ThBcg4GXq8Zmo&l=20261002234001F7F79306A9DDC59CA559&mime_type=video_mp4&rc=NGlpZTlmaDozN2dmOzRmaEBpM2lwPHg5cjxtZDMzODYzNEBfLV9gNTMtXjAxMDU2LTAvYSM1XnAxMmRzYWphLS1kMDFzcw%3D%3D&signature=edmEXPofilLjTAKwYN%2F4ntcJopyPfqPub6ml2xVjZxg%3D&vvpl=1",
            "thumbnail_url": "https://p16-common-sign.tiktokcdn.com/tos-alisg-p-0051c001-sg/o8AGjQASRLoeACgq5VWvbKAyPIEoeDeGIgAg8X~tplv-tiktokx-origin.jpeg?dr=14582&refresh_token=7a1dd5b2&x-expires=1790974800&x-signature=2n8ko9XNFXPS8JzuncGtZaKeyig%3D&t=4d5b0474&ps=13740610&shp=0c75dd76&shcp=9b759fb9&idc=sg1",
            "duration_seconds": null
          },
          "author": {
            "username": "user_4c69b3",
            "display_name": "user_4c69b3",
            "avatar_url": null,
            "verified": false
          },
          "engagement": {
            "views": 0,
            "likes": null,
            "comments": null,
            "shares": null,
            "saves": null
          },
          "flags": {
            "nsfw": null,
            "spoiler": null,
            "pinned": null,
            "deleted": false
          },
          "published_at": "2026-09-19T00:00:00.000Z",
          "ext": {
            "published_at_epoch": 1789776000000,
            "ad": {
              "estimated_audience": "0-1K",
              "spent": "",
              "audit_status": "1",
              "last_shown_date": 1790812800000,
              "type": "2",
              "image_urls": [
                "https://p16-common-sign.tiktokcdn.com/tos-alisg-p-0051c001-sg/o8AGjQASRLoeACgq5VWvbKAyPIEoeDeGIgAg8X~tplv-tiktokx-origin.jpeg?dr=14582&refresh_token=7a1dd5b2&x-expires=1790974800&x-signature=2n8ko9XNFXPS8JzuncGtZaKeyig%3D&t=4d5b0474&ps=13740610&shp=0c75dd76&shcp=9b759fb9&idc=sg1"
              ]
            }
          }
        },
        "computed": {
          "engagement_rate": null,
          "language": "en",
          "content_category": "other",
          "estimated_reach": null
        }
      }
    ],
    "next_cursor": "eyJvZmZzZXQiOjEyLCJzZWFyY2hfaWQiOiJleUpzWVhOMFgzTnZjblFpT2xzeE56a3dPREV5T0RBd01EQXdYU3dpYm1WNGRGOWpkWEp6YjNJaU9qRXlmUT09In0",
    "total": 41533,
    "dropped": 0
  },
  "credits_used": 5,
  "request_id": "req_example000000",
  "cached": false,
  "pagination": {
    "next_cursor": "sc.eyJ2IjoyLCJjIjoiZXlKdlptWnpaWFFpT2pFeUxDSnpaV0Z5WTJoZmFXUWlPaUpsZVVweldWaE9NRmd6VG5aamJsRnBUMnh6ZUU1NmEzZFBSRVY1VDBSQmQwMUVRWGRZVTNkcFltMVdOR1JHT1dwa1dFcDZZak5KYVU5cVJYbG1VVDA5SW4wIiwiZSI6InRpa3Rvay9hZGxpYnJhcnkvc2VhcmNoIiwicCI6ImN1cnNvciJ9",
    "has_more": true,
    "page_size": 2
  },
  "credits_remaining": 9999,
  "source": "captured",
  "captured_at": "2026-10-02T15:40:00.806Z",
  "redacted": true
}

Live sample illustrating the unified response shape. Field values reflect the record you query.

API Details

How does the TikTok Ad Library Search 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

Why SocialCrawl

Why use SocialCrawl for TikTok Ad Library Search data?

We handle the complexity of TikTok data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

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"
    }
  }
}
+ 69 platforms
FAQ

Have a question? We got answers

Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.

Contact us
How do I search the TikTok Ad Library with an API?
Send a GET request to /v1/tiktok/adlibrary/search with query set to a keyword, or advertiser_name set to the advertiser as it appears in the library. Each page returns the ads that matched with the creative video, the title, the advertiser name, the impression estimate, the spend band, the first-shown date and the audit status. Page with cursor.
How do I get the brand and landing page for each ad?
Add include=ad and every ad on the page is filled from the per-ad record in the same call: the registered brand name, the landing page, the advertiser's TikTok profile link and avatar, and the objectives, countries and source where the library has them. Ads already in cache are filled for free, ads that could not be filled are refunded and named in _warnings, and the response carries a hydration block with the rows looked up, filled and served from cache and the credits held and kept.
How much does the TikTok Ad Library search cost?
A plain page costs 5 credits on the advanced tier. With include=ad the call holds one more credit per ad and keeps it only for ads filled from a fresh lookup, so a full page of 12 ads is at most 17 credits; limit caps the ads and the extra credits together. New accounts get 100 free credits with no credit card required.
Does the TikTok Ad Library return like, comment or share counts?
No. The library publishes an impression estimate and a spend band, not engagement counts, so likes, comments and shares are null on both the search page and the per-ad record. For the performance side of TikTok advertising use /v1/tiktok/ads/top, which reads the Creative Center board.
How do I page through TikTok Ad Library results?
Read pagination.next_cursor on the response and pass it back as the cursor parameter on the next request; has_more turns false on the last page. include=ad and limit work on every page of the walk. limit takes the top N ads of a page and caps the extra credits with it, and it is not a page size: the cursor still advances past the full page.

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