discovering-tiktok-shop-sellers-by-niche

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English

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Chinese

Discovering TikTok Shop Sellers by Niche

按细分领域发现TikTok Shop卖家

Maps the TikTok Shop seller landscape in a product category. Identifies which products are being heavily promoted, which creators drive the most sales content, and where product gaps exist.

梳理某产品类别的TikTok Shop卖家格局，识别哪些产品正在被大力推广、哪些创作者带来最多销售内容，以及存在哪些产品空白。

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、地点页面
`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	—	用于区域过滤的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 niche hashtags with TikTok Shop signals
- [ ] Step 2: Filter posts with shop product links
- [ ] Step 3: Extract seller profiles and products
- [ ] Step 4: Rank by sales signal strength
- [ ] Step 5: Deliver seller/product map

进度:
- [ ] 步骤1：搜索带有TikTok Shop信号的细分领域话题标签
- [ ] 步骤2：筛选带有店铺产品链接的帖子
- [ ] 步骤3：提取卖家主页和产品信息
- [ ] 步骤4：按销售信号强度排序
- [ ] 步骤5：交付卖家/产品图谱

Step 1: Search Hashtags

步骤1：搜索话题标签

TikTok Shop hashtags: #tiktokshop[niche], #[niche]shop, #[niche]deals, #tiktokmademebuyit,
                      #[niche]affiliate, #[niche]haul

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

bash

undefined

TikTok Shop话题标签：#tiktokshop[niche], #[niche]shop, #[niche]deals, #tiktokmademebuyit,
                      #[niche]affiliate, #[niche]haul

推荐使用 — run_actor.js（自动处理等待、输出及文件保存）：

bash

undefined

Quick answer (prints table to chat)

快速输出（在聊天窗口打印表格）

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

Save as CSV

保存为CSV文件

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文件

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", "#[niche]shop", "#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": ["#tiktokshop", "#kitchentools", "#tiktokmademebuyit"],
    "maxItems": 300
  }'

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

> 必须在环境变量或`.env`文件中设置`APIFY_TOKEN`。

**若Apify MCP可用：**

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

Step 2: Score Seller Strength

步骤2：评分卖家实力

sales_signal = (playCount / 10000) * 0.35
             + (diggCount / 1000) * 0.25
             + (commentCount / 100) * 0.15
             + (shareCount / 500) * 0.15
             + (hasShopLink ? 1 : 0) * 0.10

Normalize to [0, 1]. Sellers with multiple high-signal posts get

multi_post_bonus = 0.15

sales_signal = (playCount / 10000) * 0.35
             + (diggCount / 1000) * 0.25
             + (commentCount / 100) * 0.15
             + (shareCount / 500) * 0.15
             + (hasShopLink ? 1 : 0) * 0.10

归一化至[0, 1]区间。拥有多篇高信号帖子的卖家可获得

multi_post_bonus = 0.15

的额外加分。

Step 3: Classify Seller Type

步骤3：分类卖家类型

seller_type:
  BRAND = account.verified OR followerCount > 50K AND bio contains brand name
  CREATOR_AFFILIATE = individual account, earns commission per sale
  DROPSHIPPER = posts multiple unrelated products with generic descriptions

seller_type:
  BRAND = 账号已认证 或 粉丝数>5万且简介包含品牌名称
  CREATOR_AFFILIATE = 个人账号，按销售额赚取佣金
  DROPSHIPPER = 发布多款无关产品，描述通用

Step 4: Edge Cases

步骤4：边缘情况处理

Non-Shop posts in results: Drop posts where caption has no shop signal AND no product link
Same product from many creators: De-duplicate by product name; count unique promoters as a "sales momentum" signal
Saturated niche (> 50 active sellers): Flag as HIGH_COMPETITION; present gap analysis (underserved sub-niches)
Views inflated by one viral post: Use median views across seller's last 10 posts as the signal, not max

结果中包含非店铺帖子：移除标题无店铺信号且无产品链接的帖子
同一产品被多位创作者推广：按产品名称去重；将独特推广者数量作为“销售势头”信号
细分领域饱和（活跃卖家>50个）：标记为HIGH_COMPETITION；呈现空白分析（服务不足的子领域）
单条爆款帖子拉高浏览量：使用卖家最近10篇帖子的中位浏览量作为信号，而非最高浏览量

Output Format

输出格式

undefined

undefined

TikTok Shop Seller Map: [NICHE]

TikTok Shop卖家图谱: [细分领域]

Posts scanned: [N] | Unique sellers: [N] | Brands: [N] | Creator-affiliates: [N] | Date: [DATE]

扫描帖子数: [N] | 独特卖家数: [N] | 品牌卖家数: [N] | 创作者联盟卖家数: [N] | 日期: [DATE]

Top Sellers by Sales Signal

按销售信号排序的顶级卖家

Seller	Type	Product(s)	Avg Views/Post	Shop Posts	Signal Score
@[handle]	Creator	[product]	[N]	[N]	[0.XX]

卖家	类型	产品	单帖平均浏览量	店铺帖子数	信号评分
@[账号]	创作者	[产品]	[N]	[N]	[0.XX]

Product Name	# Sellers Promoting	Avg Post Views	Price Range
[product]	[N]	[N]	$[X]-$[X]

产品名称	推广卖家数	单帖平均浏览量	价格区间
[产品]	[N]	[N]	$[X]-$[X]

Market Saturation

市场饱和度

Competition level: [LOW / MEDIUM / HIGH] ([N] active sellers) Potential gap: [sub-niche or product type with < 3 sellers]

undefined

竞争等级: [LOW / MEDIUM / HIGH]（活跃卖家数: [N]）潜在空白: [卖家数<3的子领域或产品类型]

undefined

Troubleshooting

故障排除

Hashtag returns non-shop content: Combine niche hashtag with

#tiktokshop

in the same search to anchor on shop-linked posts. Can't determine product price: TikTok Shop prices aren't always in the video — note URL pattern includes product ID which can be cross-referenced manually. All results from one mega-creator: Add

max_posts_per_creator = 5

to surface diverse sellers.

话题标签返回非店铺内容：将细分领域话题标签与

#tiktokshop

组合搜索，聚焦带店铺链接的帖子。 无法确定产品价格：TikTok Shop价格并非总是显示在视频中 — 注意链接格式包含产品ID，可手动交叉查询。 结果全部来自头部大创作者：添加

max_posts_per_creator = 5

参数，挖掘更多元的卖家。