TikTok API/Shop/Shop List Analytics
TikTok · Shop

TikTok Shop List Analytics API

Search and filter TikTok Shop sellers using analytics data, with metrics including GMV, product count, and historical sales performance.

GET/v1/tiktok/shop/list/analytics
category_idstringoptional

Shop's primary category ID

category_l2_idstringoptional

Shop's secondary category ID

category_l3_idstringoptional

Shop's subcategory category ID

from_flagintegeroptional

1 = Local store 2 = Cross-border store

sales_flagintegeroptional

Main sales methods: 1. Video; 2. Live streaming

sales_trend_flagintegeroptional

Sales trend in the past 7 days, 0=stable 1=up 2=down

seller_sort_fieldintegeroptional

List sorting enumeration.1=total_sale_cnt 2=total_sale_gmv_amt 3=spu_avg_price

sort_typeintegeroptional

Sort order 0=asc 1=desc

regionstringrequired

Region code, region, such as US

page_numintegerrequired

Page numbers start from 1 and go up to a maximum of 100,000.

page_sizeintegerrequired

The maximum number of pages is 10.

TikTok API Use Cases

Product Research

Analyze competitor products, pricing, and reviews before launching your own.

Shop Analytics

Track shop performance metrics and rankings to benchmark against competitors.

Category Intelligence

Understand category-level trends to identify high-opportunity product niches.

Frequently Asked Questions

Is the TikTok API official?

No, KeyAPI provides an unofficial TikTok API that lets you access TikTok data through our platform. We handle the complexities of data collection so you can focus on building your application.

How current is the data?

We provide real-time data from TikTok. When you make a request, we fetch the latest information available.

How do credits work?

Each API endpoint consumes credits. Most endpoints cost just 1 credit. All pricing is transparent in our API documentation with no hidden fees.

Can I use this for AI model training?

Yes. KeyAPI provides structured, AI-ready data ideal for training datasets, fine-tuning LLMs, and building AI pipelines. Our historical archives are particularly valuable for large-scale training workloads.

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