# TikTok Shop Winning Products (`lugubrious_penguin/tiktok-shop-winning-products-lite`) Actor

Find fast-growing TikTok Shop products in Germany using sales from the last 24h and 7 days, total sold count, 7-day growth, trend, score, and days on TikTok Shop. Ideal for product research, trend discovery, and e-commerce analysis.

- **URL**: https://apify.com/lugubrious_penguin/tiktok-shop-winning-products-lite.md
- **Developed by:** [ALLIONE](https://apify.com/lugubrious_penguin) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 product 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 Winning Products Lite

Outputs **only**:

- `productUrl`
- `sold24h`
- `sold7d`
- `soldCount`
- `growth7d`
- `trend`
- `score`
- `daysOnTikTokShop`

### Data meaning

- `sold24h`: units sold in the market-intelligence `lastDay` window.
- `sold7d`: units sold in the market-intelligence `last7Day` window.
- `soldCount`: cumulative units sold from the base search source.
- `growth7d`: **revenue growth %** versus the previous 7-day period, from market intelligence.
- `trend`: `RISING`, `STABLE`, `FALLING`, or `UNKNOWN`, based on growth + 24h velocity versus the 7-day daily average.
- `score`: 0-100 opportunity score using sold7d, sold24h, growth, velocity, lifetime soldCount and product newness.
- `daysOnTikTokShop`: days since market-intelligence `launchDate`.

### Recommended first run for Germany

Use `INPUT_EXAMPLE.json` and a Run timeout of **900 seconds**.

For only fully-populated results, turn on `requireCompleteRows` after checking that your search terms produce enough overlap between both sources.

# Actor input Schema

## `region` (type: `string`):

TikTok Shop market.

## `keywords` (type: `array`):

Search terms. Use broad terms for better overlap between the lifetime-sales source and market-intelligence source.

## `categories` (type: `array`):

Optional additional TikTok category names or broad category terms. They are also searched as keywords to improve soldCount matching.

## `searchActorId` (type: `string`):

Actor used to obtain cumulative soldCount and product URL.

## `marketActorId` (type: `string`):

Actor used to obtain sold24h, sold7d, 7-day growth and launch date.

## `maxSearchItemsPerQuery` (type: `integer`):

Maximum AnyAPI products requested for each search term.

## `maxMarketItemsPerQuery` (type: `integer`):

Maximum recent-market products requested for each term and each period (24h and 7d).

## `maxConcurrentExternalCalls` (type: `integer`):

Maximum external Actor calls running at the same time. 4-6 is recommended.

## `maxOutputProducts` (type: `integer`):

Maximum number of final rows.

## `requireCompleteRows` (type: `boolean`):

When enabled, output only products where all requested fields are available.

## `minSold24h` (type: `integer`):

Minimum units sold in the last 24 hours. Zero disables the filter.

## `minSold7d` (type: `integer`):

Minimum units sold in the last 7 days. Zero disables the filter.

## `minSoldCount` (type: `integer`):

Minimum cumulative TikTok sold count. Zero disables the filter.

## `minGrowth7d` (type: `number`):

Minimum 7-day market revenue growth percentage. Use a negative number to allow declining products.

## `minScore` (type: `number`):

Minimum opportunity score from 0 to 100.

## `maxDaysOnTikTokShop` (type: `integer`):

Optional new-product filter. Zero disables it; for example 90 keeps products launched within about 90 days.

## `sortBy` (type: `string`):

Metric used to order the final output.

## Actor input object example

```json
{
  "region": "DE",
  "keywords": [
    "Beauty",
    "Elektronik",
    "Haushalt"
  ],
  "categories": [],
  "searchActorId": "getanyapi/tiktok-shop-scraper",
  "marketActorId": "lergassy/tiktok-shop-top-products-scraper",
  "maxSearchItemsPerQuery": 10,
  "maxMarketItemsPerQuery": 10,
  "maxConcurrentExternalCalls": 4,
  "maxOutputProducts": 30,
  "requireCompleteRows": false,
  "minSold24h": 0,
  "minSold7d": 0,
  "minSoldCount": 0,
  "minGrowth7d": -1000,
  "minScore": 0,
  "maxDaysOnTikTokShop": 0,
  "sortBy": "score"
}
```

# Actor output Schema

## `results` (type: `string`):

List of TikTok Shop winning product results.

# 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("lugubrious_penguin/tiktok-shop-winning-products-lite").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("lugubrious_penguin/tiktok-shop-winning-products-lite").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 lugubrious_penguin/tiktok-shop-winning-products-lite --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lugubrious_penguin/tiktok-shop-winning-products-lite"
        }
    }
}
```

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/clGgbflRoSuEeUDFT/builds/HadhOw28lOlfG8DN4/openapi.json