# TikTok Profile Videos API (https://www.socialcrawl.dev/platforms/tiktok/profile-videos)

> Returns a paginated list of recent public videos posted by a TikTok user. Each video includes view count, like count, comment count, share count, caption, and thumbnail URL. `post.ext.region` is the ISO 3166-1 alpha-2 country TikTok registers that video to, normally the creator's account country when they posted. It is not the viewer's country, and a video with no registered country has it null. `post.ext.matched_song_id` is the catalogue song TikTok matched the row's sound to, present when it made a match: an official clip and the original sounds creators upload with it have different `post.ext.music_id` values and one `matched_song_id`, so group on it to count a song's uses (it is not a clipId for `/v1/tiktok/song/videos`). The creator's account country on its own is `author.location` from `/v1/tiktok/profile`. Profiles with TikTok 'audience controls' enabled (a login/age wall in the browser) are supported when looked up by `handle`; page-1 order on those gated accounts may follow recency rather than pinned-first.

TL;DR: `GET /v1/tiktok/profile/videos` costs 1 credit per page. The default labels (sponsored, intent, niche) are free. label=mention, quality, ai_style, ai_written, injection, or label=intent with offer=, holds 4 extra credits and refunds down to 1 credit per started 25 posts that were newly judged: posts already labelled are free, a page where nothing could be judged refunds the whole extra, and a cached page is free. With `max_pages`, `max_items` or `max_credits`, each page walked is billed at this price (a cached page is free), and `max_credits` caps the total. and returns SocialCrawl's unified JSON schema. Single x-api-key auth, 100 free credits on signup.

## Parameters

| Parameter | Required | Description |
| --- | --- | --- |
| `since` | no | Only videos published on or after this date: YYYY-MM-DD (midnight UTC) or an ISO 8601 timestamp. Older videos are left off the page, and the page that reaches one ends the walk: `next_cursor` is not returned and `pagination.stopped_at` is `since`. Pinned videos sit out of date order and never end the walk. The page still costs what a page costs, so a daily poll pays for the pages it walks and no more. |
| `stop_at_id` | no | The id (`post.id`) or URL (`post.url`) of the newest video you already hold. The page stops just before it: that video and everything after it are left off, `next_cursor` is not returned, and `pagination.stopped_at` is `known_id`. A pinned video never counts as the stop point. If it is not on this page the page is returned in full with its cursor, so keep walking. `pagination.stopped_at` is `end` when the list ran out first and `null` while there is more to walk. |
| `handle` | no | TikTok username without the @ symbol |
| `user_id` | no | TikTok user id. Use this for faster responses. |
| `sort_by` | no | Accepted for compatibility and ignored on this endpoint: neither `latest` nor `popular` reorders the page. Videos come back in the source's own order, described above. To rank a creator's videos by views or likes, page through with `max_cursor` and sort the collected rows yourself. (latest \| popular) |
| `max_cursor` | no | Cursor to get more videos. Get 'max_cursor' from previous response. It is a Unix timestamp in milliseconds, and the page returns the videos posted before it, so you can also start from a date of your choice: `max_cursor=1590969600000` returns the videos posted just before 01/06/2020, then keep paging with each response's `max_cursor` (measured 22/10/2026: 27-31/05/2020 on khaby.lame, 26-31/12/2018 on nba). `until` only filters the rows of a page and does not move where the walk starts. |
| `region` | no | Region (Country) you want the proxy in. Defaults to US. It does not filter the videos. The country TikTok registers each video to is post.ext.region. |
| `trim` | no | Accepted for compatibility; the response is already the canonical shape, so this flag has no effect. |
| `format` | no | Optional. stationery files each video into wedding, birthday, birth, sympathy, seasonal greeting, or leaves it ungrouped. data.format_buckets gives the counts, the ungrouped share, and a by-day count when the page spans more than one day. A null save count stays null. brief= skips the walk when the page is not about that subject. No extra credits. (stationery) |
| `brief` | no | Optional, with format=stationery. The subject these videos should be about. When the page is not about it, data.format_buckets.skip_creator is true and the videos are not filed. |
| `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. |
| `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) |
| `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) |
| `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. |
| `until` | no | 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`. |
| `max_pages` | no | 1 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_items` | no | 1 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_credits` | no | 1 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. |

## Code example

```bash
curl -G "https://www.socialcrawl.dev/v1/tiktok/profile/videos" \
  --data-urlencode "handle=charlidamelio" \
  -H "x-api-key: sc_YOUR_API_KEY"
```

## FAQ

### How do I list a TikTok user's videos with an API?

Send a GET request to /v1/tiktok/profile/videos with the handle parameter. SocialCrawl returns a paginated list of that user's recent public videos with view, like, comment, and share counts plus captions and thumbnail URLs.

### What fields does the TikTok Videos endpoint return?

Each video includes video id, url, caption, view count, like count, comment count, share count, duration, thumbnail URL, creation timestamp, and author handle in a unified schema.

### How do I paginate through all of a user's TikTok videos?

Read the max_cursor field from the response and pass it as the max_cursor parameter on your next request. Repeat until max_cursor is empty or you have the volume you need.

### Can I sort TikTok videos by popularity?

Yes. Pass sort_by=popular to get the most-viewed videos first, or sort_by=latest (default) for newest-first ordering. Both work with the handle or the user_id parameter.

### How much does the TikTok Videos API cost?

Each request costs 1 credit on the standard tier regardless of how many videos are returned in the page. New accounts get 100 free credits with no credit card required.

See the full TikTok API: https://www.socialcrawl.dev/platforms/tiktok

## Pricing

- Standard endpoints: 1 credit per call
- Advanced endpoints: 5 credits per call
- Premium endpoints: 10 credits per call
- 100 free credits on signup, no credit card required. Cached responses cost 0 credits. Credit packs never expire.
- Full pricing: https://www.socialcrawl.dev/pricing

## Explore with AI

Questions this API answers, phrased for an AI assistant:

- How to list a TikTok user's videos with the SocialCrawl API
- What does the SocialCrawl TikTok Videos endpoint return?