# TikTok Profile Video Signals (`ntriqpro/tiktok-profile-video-signals`) Actor

Observe current video metrics from specified public TikTok profile embeds. Compare your previous dataset for measured changes, with evidence URLs and explicit coverage limits. Unofficial; no login or downloads.

- **URL**: https://apify.com/ntriqpro/tiktok-profile-video-signals.md
- **Developed by:** [daehwan kim](https://apify.com/ntriqpro) (community)
- **Categories:** Social media, Videos
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.20 / 1,000 video snapshots

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## TikTok Profile Video Signals

Get current metrics for videos visible in the public embeds of profiles you specify. Supply a previous dataset from this Actor to calculate changes between two observations. Every video has its canonical URL, embed evidence URLs and an observation timestamp.

This is an **unofficial** tool, **not affiliated with, endorsed by or sponsored by TikTok**.

### Scope

The Actor reads a public profile embed to discover video IDs, then reads each public video embed. It returns only the visible embed selection, typically about 10–13 recent videos per profile. `maxResults` is an upper bound, never a promise of that many rows. Full history and pagination are not provided. It does **not** retrieve hashtags or search results, employees, comments, private accounts, or videos requiring login. No cookies, login, captcha handling or blocked-IP rotation. No video, audio, subtitle or image files are downloaded, stored or redistributed. Profile biographies, nicknames, avatars and location are excluded. No personal-identity enrichment.

### Input

All input values are arrays, including single-value settings:

```json
{"profiles":["scout2015"],"maxResults":[10],"previousDatasetIds":[],"proxyModes":["DIRECT"],"disclaimerAck":["accepted"]}
```

- `profiles`: 1–30 handles, `@handles`, or `https://www.tiktok.com/@handle` URLs.
- `maxResults`: one integer, 1–300. Default `[10]` for the whole run.
- `previousDatasetIds`: zero or one dataset ID from this Actor, readable with the run's permissions.
- `proxyModes`: `["DIRECT"]` or `["DATACENTER"]`. The mode does not change after a block.
- `disclaimerAck`: `["accepted"]`. You confirm authorization to query the profiles, compliance with relevant terms and lawful use of results, including your duties as personal-data controller where applicable. This does not waive our statutory obligations.

### Output and comparisons

One row per unique video. Required fields: `id`, `webVideoUrl`, `authorMeta.name`, `createTime`, `playCount`, `diggCount`, `commentCount`, `observedAt`, and `evidenceUrls`. Other observed metrics include `shareCount`; unavailable `collectCount` stays null. Metadata includes video dimensions/duration, caption, hashtag labels and music attribution when exposed; media files and download links are excluded.

The output preserves the field names and nested structures of the three compared profile/video products. Field compatibility does not imply feature parity. Unobserved or excluded fields are `null`; `fieldAvailability` explains `not_observed`, `excluded_by_policy`, `observed` or `derived`.

Without a baseline, `comparisonStatus` is `no_baseline` and `viewDelta`, `likeDelta`, `commentDelta`, `shareDelta`, `collectDelta`, `elapsedSeconds` and `viewsPerHour` are null. A readable prior observation of the same video and author with an earlier timestamp gives `matched`. Deltas are current minus previous; decreases are retained. A missing video gives `no_match`. Inaccessible or invalid baselines produce `baseline_unavailable` or `invalid_baseline`. A current view count alone is never described as growth or a trend. `viewsPerHour` is an observed two-point rate, not a forecast.

`coverageScope=profile_embed_visible` describes the source selection, not the account's complete history. The OUTPUT record reports requests, retries, failures, discovered counts, block rate, and `complete` or `incomplete`. Notices are not dataset result rows.

### Pricing

| Plan | Startup per unit | Per video-result |
|---|---:|---:|
| FREE | $0.001 | $0.0100 |
| BRONZE | $0.001 | $0.0080 |
| SILVER | $0.001 | $0.0065 |
| GOLD | $0.001 | $0.0052 |
| PLATINUM | $0.001 | $0.0052 |
| DIAMOND | $0.001 | $0.0052 |

The platform manages `apify-actor-start`: one unit per GB of run memory, minimum one. The default 256MB run has one startup unit. Startup can apply even to an invalid input or a run with zero results. We never issue a second custom startup charge. `video-result` is charged once for each unique validated video snapshot delivered. Comparisons are included. No result charges for duplicates, retries, notices, blocked requests, missing required metrics or internal failures. At FREE list pricing, 10 delivered videos with default memory cost $0.101 in Actor events. Your platform plan governs any other applicable usage charges; owner tests do not demonstrate customer revenue.

Charging stops at the run's spending limit. A durable ledger and final dataset IDs prevent duplicate event calls across restarts. If a charge response cannot be reconciled, processing stops without charging it again. Already paid rows are retained. There is no separate feature cap for FREE users.

### Requests and limits

Requests start at most once per 1.05 seconds. Timeouts, 429, 5xx and empty bodies receive at most three retries with 1/2/4-second exponential backoff. Only DATACENTER transient retries obtain a fresh proxy session. Login, captcha, 401/403 and redirects are not retried. Five consecutive blocked requests end with `incomplete`. Parsing or source failures remain visible; they are not reported as zero-valued metrics or billable successful results.

Embed availability and selection may change. This product has no full-history pagination. Review coverage and field availability before interpreting a snapshot.

### Leave a review

A short review on the **Reviews** tab, good or bad, helps other people find this Actor and tells us what to build next. Found a bug or need a feature? Open an issue on the **Issues** tab and we'll look into it.

# Actor input Schema

## `profiles` (type: `array`):

Public TikTok handles or canonical profile URLs. Only videos visible in public profile embeds; no full history.

## `maxResults` (type: `array`):

One integer, 1 to 300. An upper bound, not a guaranteed number of videos.

## `previousDatasetIds` (type: `array`):

Zero or one authorized dataset ID from a previous run of this Actor. Without it all deltas are null.

## `proxyModes` (type: `array`):

One value: DIRECT (default) or DATACENTER. No proxy switching after blocking.

## `disclaimerAck` (type: `array`):

Use \["accepted"] to acknowledge rights to query these public profiles and responsibility for lawful use, TikTok terms and personal-data controller duties. Unofficial; not affiliated with TikTok. Our statutory obligations remain.

## Actor input object example

```json
{
  "profiles": [
    "scout2015"
  ],
  "maxResults": [
    10
  ],
  "previousDatasetIds": [],
  "proxyModes": [
    "DIRECT"
  ],
  "disclaimerAck": [
    "accepted"
  ]
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `summary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "profiles": [
        "scout2015"
    ],
    "maxResults": [
        10
    ],
    "previousDatasetIds": [],
    "proxyModes": [
        "DIRECT"
    ],
    "disclaimerAck": [
        "accepted"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ntriqpro/tiktok-profile-video-signals").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "profiles": ["scout2015"],
    "maxResults": [10],
    "previousDatasetIds": [],
    "proxyModes": ["DIRECT"],
    "disclaimerAck": ["accepted"],
}

# Run the Actor and wait for it to finish
run = client.actor("ntriqpro/tiktok-profile-video-signals").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "profiles": [
    "scout2015"
  ],
  "maxResults": [
    10
  ],
  "previousDatasetIds": [],
  "proxyModes": [
    "DIRECT"
  ],
  "disclaimerAck": [
    "accepted"
  ]
}' |
apify call ntriqpro/tiktok-profile-video-signals --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ntriqpro/tiktok-profile-video-signals"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xRGTalNuDXq6Be4Fu/builds/738KbjSzkXeCoZZUb/openapi.json