TikTok Sound Scraper — videos using a sound

TikTok Sound Scraper — videos using a sound

Find sounds by name, and get the videos that actually use them — verified, not assumed. Full stats per video, plus a no-watermark link.

No login, no cookies, no browser.

The filter is the product

TikTok's endpoint for this is a recommendation feed seeded by a sound, not a list of videos using it. Measured across seven sounds:

100%   93%   100%   96%   96%   100%    …and one sound at 5%

Usually almost everything it returns does use the sound. Occasionally almost nothing does. A scraper that trusts the endpoint therefore looks perfect most of the time and silently hands you unrelated videos the rest of it.

So every row is checked against the sound ID:

field
usesThisSound	verified per row
soundMatchRate	what fraction of what TikTok returned actually used the sound
videoSoundId / videoSoundTitle	the sound really on the video — so when the filter is off you can see what came back instead

With onlyThisSound on (the default) the dataset contains only genuine uses. A low soundMatchRate in the log is TikTok telling you it had nothing better to offer for that sound.

How to use

1. Click Try for free at the top of this page. Apify creates a free account if you do not have one — no card is needed to run this.
2. Put what you want scraped into Sounds — one per line.
3. Set Max videos per sound to bound the run, then press Start. You are billed per row, so this field is also your budget.
4. Rows show up in the Dataset tab while the run is still going. Export to JSON, CSV, Excel or XML from there, or read them over the API.

Input

field
sounds		Numeric music IDs, or URLs like https://www.tiktok.com/music/original-sound-7649183489941670687
searchTerms		Find sounds by name instead
maxSoundsPerTerm	10
fetchVideosForFoundSounds	off	Each sound costs its own requests, so this multiplies a search run
maxVideosPerSound	50	TikTok returns ~11 per request and ignores a page size
onlyThisSound	on	Drop videos that do not use the sound

Every field, with its default — paste the whole block and delete what you do not need:

{
  "sounds": [
    "6927016038370428930"
  ],
  "searchTerms": [],
  "maxSoundsPerTerm": 10,
  "fetchVideosForFoundSounds": false,
  "maxVideosPerSound": 50,
  "onlyThisSound": true
}

Output

Sound rows: soundId, soundTitle, soundAuthor, durationSec, isOriginal, videoCount, playUrl, coverUrl, soundUrl, isCommercialTrack (catalogue music rather than a creator's own sound). TikTok does not return the sound's owner account with search results, so there is no owner column.

Video rows: videoId, url, description, createdAt, playCount, likeCount, commentCount, shareCount, saveCount, durationMs, coverUrl, noWatermarkUrl, hashtags[], author fields, plus the verification fields above. rowType tells them apart.

One row, exactly as it lands in your dataset (long signed CDN links shortened here for readability):

{
  "rowType": "video",
  "soundId": "6927016038370428930",
  "soundTitle": "Funny",
  "videoSoundId": "6927016038370428930",
  "videoSoundTitle": "Funny",
  "usesThisSound": true,
  "soundMatchRate": 1,
  "videoId": "7485182785464864055",
  "url": "https://www.tiktok.com/@lupita_gonbu/video/7485182785464864055",
  "description": "🫢🫢😅😅 Pero las más felices con nuestros babys 😍🥰 @B❤️‍🩹✨️💖 @Fernandita Montenegr ",
  "createdAt": "2025-03-24T01:32:12.000Z",
  "playCount": 850034,
  "likeCount": 4720,
  "commentCount": 158,
  "shareCount": 1644,
  "saveCount": 1629,
  "durationMs": 19400,
  "coverUrl": "https://p16-common-sign.tiktokcdn-us.com/tos-maliva-p-0068/ogjsBMqBJeX…?…",
  "noWatermarkUrl": "https://v45.tiktokcdn-us.com/b099201cb1c6fb4a453c266d3a274258/6a7fc19b…?…",
  "hashtags": [],
  "authorUsername": "lupita_gonbu",
  "authorNickname": "Lupita González Buca",
  "authorId": "6662330684558589957",
  "authorSecUid": "MS4wLjABAAAABdtKNnthY0UXcpMB8lGRnv1WavLTDMuwf5iji438Ck10yO9fv2Vmq7BDyI8vNZAK"
}

Notes

• url is TikTok's own canonical link. A photo post therefore points at /photo/ and a video at /video/, and a row whose author handle is missing gets null rather than a link that would 404.
• Sound IDs are 19 digits. They are returned as strings — a spreadsheet or a JSON parser that treats them as numbers will corrupt them, which is a real failure mode and the reason they are never emitted as numbers here.
• No-watermark links are signed TikTok CDN links and expire within hours.
• Only public data. There is no login.

Run it from your own code

Every Actor is an API endpoint. This starts a run, waits for it, and returns the rows in one call — swap in your token from Settings → Integrations:

curl -X POST 'https://api.apify.com/v2/acts/mu0i~tiktok-sound-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "sounds": [
      "6927016038370428930"
    ],
    "searchTerms": [],
    "maxSoundsPerTerm": 10,
    "fetchVideosForFoundSounds": false,
    "maxVideosPerSound": 50,
    "onlyThisSound": true
  }'

Pricing

Pay per result — you are billed for rows you receive, not for time or compute.

Event	Per 1,000	What one unit is
sound	$3.00	one sound in the dataset
video	$3.00	one video in the dataset

Paid Apify plans pay less than this. The table above is the free-plan rate. Starter, Scale and Business each get a lower per-unit price — up to 55% off on Business — and the Actor's Pricing tab shows every tier before you run anything.

Starting a run costs $0.00001 — a cent per thousand runs — and there is no run minimum. You are never billed for a run that found nothing. If an input has nothing to collect the run says so in a row of the dataset — never a silently empty result, and never a charge. A run that fails because the data could not be reached fails loudly, because that one is worth retrying.

Related Actors

Fourteen Actors covering the whole public TikTok surface. Same billing rules and the same guarantees throughout: billed once for each row you receive, never billed for a run that found nothing, and told in the dataset why it found nothing.

Actor	What it does
TikTok Search Scraper — videos, users, hashtags	Keyword search across every tab, deduplicated.
TikTok Hashtag Scraper — videos by hashtag	Every video under a hashtag, walked deep.
TikTok Trending Scraper — the real Explore feed	The app's real Explore feed, not Creative Center.
TikTok Profile Scraper — followers, likes, bio	Followers, likes, bio for any public account.
TikTok User Posts Scraper — every video + stats	Every video an account posted, with stats.
TikTok Comments Scraper — replies, no duplicates	Every comment and reply, no duplicate pages.
TikTok Video Downloader — no watermark MP4/MP3	No-watermark MP4, MP3, covers and subtitles.
TikTok Transcript Scraper — no AI, no waiting	Subtitles from TikTok's own caption track.
TikTok Live Scraper — rooms, viewers, streams	Live rooms with playable stream links.
TikTok Places Scraper — locations and reviews	Locations with addresses, coordinates and reviews.
TikTok Shop Scraper — Products, Sellers & Reviews	Shop search, product detail, seller catalogue.
TikTok Shop Category Scraper — every product	Every product in a Shop category and its subcategories.
TikTok Shop Reviews Scraper — full archive	The full review archive for a Shop product.