# TikTok Shop Opportunity Scout (`dadlabsai/tiktok-shop-opportunity-scout-v1`) Actor

Finds promising TikTok Shop products by ranking sales velocity, growth, pricing, discounts, ratings, and product age. Quickly surface products worth researching before you spend time or money sourcing them.

- **URL**: https://apify.com/dadlabsai/tiktok-shop-opportunity-scout-v1.md
- **Developed by:** [Mark Hemenway](https://apify.com/dadlabsai) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Shop Opportunity Scout

Find TikTok Shop products showing promising combinations of sales velocity, growth, pricing, discounts, ratings, and product age.

Instead of sorting through raw product data manually, TikTok Shop Opportunity Scout analyzes products for a keyword and ranks the strongest opportunities using a transparent Opportunity Score.

### What it does

Enter a product niche or keyword such as:

- kitchen gadgets
- dog products
- beauty tools
- home organization
- fitness accessories

The Scout analyzes TikTok Shop product data and returns a ranked list of products worth investigating.

Each result includes available data such as:

- Opportunity Score
- Sales velocity
- Sales growth
- Units sold
- Product price
- Original price and discount
- Rating
- Product age
- Estimated lifetime revenue
- Seller information
- TikTok Shop product URL
- An explanation of why the product scored well

### Opportunity Score

The Opportunity Score is a research and ranking tool designed to make large product lists easier to evaluate.

It uses available signals such as sales velocity, recent growth, pricing, ratings, discounts, and product age to identify products that may deserve further investigation.

A higher score does not guarantee that a product will be profitable. It simply indicates that the product currently shows a stronger combination of the signals analyzed by the Scout.

### How to use it

#### 1. Enter a keyword

For example:

`kitchen gadgets`

#### 2. Choose how many products to analyze

The Scout retrieves available TikTok Shop product data for that search.

#### 3. Review the ranked results

Start with the highest Opportunity Scores and use the supporting metrics and product links to investigate the products further.

### Example

A search for:

`dog products`

might surface products with very different sales velocity, growth, pricing, ratings, and product age.

Rather than reviewing every product manually, the Scout scores and ranks them so you can quickly identify which ones deserve a closer look.

### Who is this for?

TikTok Shop Opportunity Scout can be useful for:

- TikTok Shop sellers
- Affiliate marketers
- Ecommerce product researchers
- Product sourcing teams
- Market researchers
- Creators looking for product ideas

### Output

Results are stored in an Apify dataset and can be viewed in the Apify Console or exported in formats such as JSON and CSV.

Each result includes the original keyword and rank so searches can be analyzed or exported for additional research.

### Important limitations

TikTok Shop data can change quickly and may occasionally be incomplete or unavailable.

Opportunity Scores are heuristic research signals, not predictions or guarantees of future sales or profitability.

Always perform additional product, supplier, competition, margin, and market research before making a business decision.

### Getting started

Enter a product keyword in the Input tab and run the Actor.

Start broad enough to discover opportunities, then test more specific niches as you learn what the market is showing you.

# Actor input Schema

## `keyword` (type: `string`):

Enter a product category or search phrase, such as kitchen gadgets, dog products, or beauty tools.

## `maxResults` (type: `integer`):

Number of TikTok Shop products to analyze before ranking the best opportunities.

## Actor input object example

```json
{
  "keyword": "kitchen gadgets",
  "maxResults": 20
}
```

# Actor output Schema

## `results` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("dadlabsai/tiktok-shop-opportunity-scout-v1").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("dadlabsai/tiktok-shop-opportunity-scout-v1").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 '{}' |
apify call dadlabsai/tiktok-shop-opportunity-scout-v1 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dadlabsai/tiktok-shop-opportunity-scout-v1"
        }
    }
}
```

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/FhMx1GEotF9KaoZIP/builds/WKjdmTrNjj8yMWFsS/openapi.json