finding-tiktok-shop-trending-products

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Original

English

🇨🇳

Translation

Chinese

Finding TikTok Shop Trending Products

查找TikTok Shop爆款产品

Identifies products gaining momentum on TikTok Shop by analyzing creator promotion density and engagement. A product promoted by many creators simultaneously is a strong viral commerce signal.

通过分析创作者推广密度和互动数据，识别TikTok Shop上势头渐长的产品。一款被众多创作者同时推广的产品是强烈的 viral 电商信号。

Prerequisites

前提条件

```
APIFY_TOKEN
```
environment variable set
Optional: Apify MCP server installed

已设置
```
APIFY_TOKEN
```
环境变量
可选：已安装Apify MCP服务器

Inputs

输入参数

Parameter	Type	Required	Default	Notes
`startUrls`	array	Optional	`[]`	TikTok URLs — user profiles, hashtags, music pages, search, locations
`keywords`	array	Optional	`[]`	Search keywords/terms to find posts
`sortType`	string	Optional	`RELEVANCE`	Sort order for keyword results: `RELEVANCE` , `MOST_LIKED` , `DATE_POSTED`
`location`	string	Optional	—	ISO 3166-1 alpha-2 country code for regional filtering (e.g. `US` , `GB` )
`maxItems`	number	Optional	Unlimited	Maximum posts to return across the run
`includeSearchKeywords`	boolean	Optional	`false`	Add the matched search keyword field to each post
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

参数	类型	是否必填	默认值	说明
`startUrls`	数组	可选	`[]`	TikTok链接 — 用户主页、话题标签、音乐页面、搜索结果、地理位置页面
`keywords`	数组	可选	`[]`	用于查找帖子的搜索关键词/术语
`sortType`	字符串	可选	`RELEVANCE`	关键词结果的排序方式： `RELEVANCE` （相关性）、 `MOST_LIKED` （点赞最多）、 `DATE_POSTED` （发布日期）
`location`	字符串	可选	—	用于区域筛选的ISO 3166-1 alpha-2国家代码（例如 `US` 、 `GB` ）
`maxItems`	数字	可选	无限制	本次运行返回的最大帖子数量
`includeSearchKeywords`	布尔值	可选	`false`	为每个帖子添加匹配的搜索关键词字段
`customMapFunction`	字符串	可选	—	用于转换每个输出对象的JavaScript函数

Workflow

工作流程

Progress:
- [ ] Step 1: Search TikTok Shop hashtags for category
- [ ] Step 2: Extract products from promotional posts
- [ ] Step 3: Count creator promotion density per product
- [ ] Step 4: Score product trend momentum
- [ ] Step 5: Deliver trending product list

进度：
- [ ] 步骤1：搜索TikTok Shop话题标签以筛选品类
- [ ] 步骤2：从推广帖子中提取产品信息
- [ ] 步骤3：统计每个产品的创作者推广密度
- [ ] 步骤4：为产品趋势势头打分
- [ ] 步骤5：交付爆款产品列表

Step 1: Search Posts

步骤1：搜索帖子

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

bash

undefined

推荐方式 — run_actor.js（自动处理等待、输出和文件保存）：

bash

undefined

Quick answer (prints table to chat)

快速输出（在聊天中打印表格）

node scripts/run_actor.js
--actor "apidojo~tiktok-scraper"
--input '{"param": "value"}'

Save as CSV

保存为CSV格式

node scripts/run_actor.js
--actor "apidojo~tiktok-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.csv --format csv

Save as JSON

保存为JSON格式

node scripts/run_actor.js
--actor "apidojo~tiktok-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> `APIFY_TOKEN` must be set in environment or `.env` file.

**If Apify MCP is available:**

Tool: apify:run-actor Actor: "apidojo~tiktok-scraper" Input: { "keywords": ["#tiktokshop[category]", "#[category]deals", "#tiktokmademebuyit"], "maxItems": 300 }


**REST API fallback:**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["#tiktokmademebuyit", "#skincaretiktokshop"], "maxItems": 300}'

node scripts/run_actor.js
--actor "apidojo~tiktok-scraper"
--input '{"param": "value"}'
--output YYYY-MM-DD_results.json --format json

> `APIFY_TOKEN`必须在环境变量或`.env`文件中设置。

**如果Apify MCP可用：**

工具: apify:run-actor Actor: "apidojo~tiktok-scraper" 输入: { "keywords": ["#tiktokshop[category]", "#[category]deals", "#tiktokmademebuyit"], "maxItems": 300 }


**REST API备选方案：**
```bash
curl -X POST \
  "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["#tiktokmademebuyit", "#skincaretiktokshop"], "maxItems": 300}'

Step 2: Score Products

步骤2：为产品打分

Group posts by product name from captions. For each product:

promotion_density = count(unique creators promoting product)
total_reach = sum(playCount for all promoting posts)
engagement_rate = sum(diggCount) / total_reach * 100

trend_score = (promotion_density / 5, max 1) * 0.35
            + (total_reach / 1000000, max 1) * 0.35
            + (engagement_rate > 3 ? 1 : engagement_rate/3) * 0.30

Trend window: 70%+ promotions in last 7 days =

PEAKING

; spread evenly =

SUSTAINED

; mostly > 7 days =

FADING

按帖子标题中的产品名称对帖子进行分组。对于每个产品：

promotion_density = count(推广该产品的独特创作者数量)
total_reach = sum(所有推广帖子的播放量)
engagement_rate = sum(点赞数) / total_reach * 100

trend_score = (promotion_density / 5, 最大值1) * 0.35
            + (total_reach / 1000000, 最大值1) * 0.35
            + (engagement_rate > 3 ? 1 : engagement_rate/3) * 0.30

趋势周期： 70%以上的推广发生在过去7天 =

PEAKING

（势头峰值）；推广分布均匀 =

SUSTAINED

（持续增长）；大部分推广发生在7天前 =

FADING

（趋势衰退）

Step 3: Edge Cases

步骤3：边缘情况

Product name extraction unreliable: Extract most specific noun phrase from caption alongside shop link
Same product different variants: Group by product name similarity; sum reach across variants
Saturated trend (> 50 creators): Window may be closing; flag as
```
LATE_STAGE
```
Counterfeit signals: Price far below market (e.g. < $5 for normally $30+ item) → flag

产品名称提取不可靠：从标题中提取最具体的名词短语，并附带店铺链接
同一产品不同变体：按产品名称相似度分组；汇总所有变体的覆盖量
趋势饱和（>50位创作者推广）：窗口期可能即将关闭；标记为
```
LATE_STAGE
```
（后期阶段）
仿品信号：价格远低于市场价（例如正常30美元+的商品售价低于5美元）→ 标记

Output Format

输出格式

undefined

undefined

TikTok Shop Trending Products: [CATEGORY]

TikTok Shop爆款产品：[品类]

Posts analyzed: [N] | Unique products: [N] | Date: [DATE]

分析的帖子数量：[N] | 独特产品数量：[N] | 日期：[日期]

Trending Now (Peak Momentum)

当前爆款（势头峰值）

Product	Creators	Total Views	Avg Eng Rate	Stage	Score

产品	创作者数量	总浏览量	平均互动率	阶段	得分

Sustained Performers

持续热销产品

Product	Creators	Total Views	Stage

产品	创作者数量	总浏览量	阶段

Saturation Alert

饱和预警

[Products with > 30 creators — difficult to enter profitably]

undefined

[创作者数量>30的产品 — 难以盈利进入市场]

undefined

Troubleshooting

故障排除

Few products identified: Check bio links of top promoting creators for product page. Trend already peaked: Run every 3-4 days to catch trends early. Suspicious pricing: Flag and verify before sourcing.

识别到的产品数量少：查看顶级推广创作者的主页链接，获取产品页面。 趋势已过峰值：每3-4天运行一次，以便尽早捕捉趋势。 价格可疑：在采购前标记并核实。