TikTok Ultra Product Ranklist
Pricing
from $7.00 / 1,000 results
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TikTok Ultra Product Ranklist
Collect TikTok product rankings by date, region, and category to spot top-selling and fast-rising items.
Pricing
from $7.00 / 1,000 results
Rating
0.0
(0)
Developer
Datamagnet
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
7 days ago
Last modified
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Find the products that are moving up or dominating in TikTok shopping rankings. This data helps you quickly spot what shoppers are buying, which categories are gaining attention, and how product performance changes over time.
What you get
- Product ranking position for the selected date and region
- Ranking cycle selection: daily, weekly, or monthly
- Ranking field based on sales count or interest count
- Page-by-page results for browsing large lists
- Category filters for narrowing results by product category
- Simple status information showing whether your request was successful
- A request reference number for tracking your run
How to use
- Sign up and open the TikTok Ultra Product Ranklist tool.
- Configure your search by choosing the ranking cycle, ranking field, region, date, and any category filters.
- Run the tool to generate the product rank list for your selected settings.
- Review the results to find the products you care about most.
- Download or save the output for reporting, research, or comparison later.
Inputs
| Field | Required | Plain-English description |
|---|---|---|
| rank_type | Yes | Choose the ranking cycle: 1 for daily, 2 for weekly, or 3 for monthly. |
| product_rank_field | Yes | Choose how products are ranked: 1 for total sales count, 2 for total interest count. |
| page_size | Yes | Set how many results to show on each page. |
| maxResults | No | Limit the total number of results you want returned. |
| region | Yes | Select the region you want to review, such as US. |
| date | Yes | Pick the ranking date in yyyy-MM-dd format. |
| category_l3_id | No | Narrow results to a third-level category when needed. |
| category_id | No | Narrow results to a category when needed. |
| category_l2_id | No | Narrow results to a second-level category when needed. |
| maxRetries | No | Set how many times the run should try again if needed. |
Date limits
- Daily ranking can only look back 30 days
- Weekly ranking can only look back 12 weeks
- Monthly ranking can only look back 12 months
Output
The results include the following fields in plain English:
- code: A status number that shows whether the request worked. A value of 0 means success.
- message: A short text message about the result, such as success.
- data: The list of ranked product results. If nothing is returned, this may be empty.
- requestId: A unique reference number for your request, useful for support or tracking.
- id: A unique internal record ID for the completed run.
- name: The saved name of the run, if one was given.
- accessed_at: The time the run was last opened or viewed.
- created_at: The time the run was first created.
- modified_at: The time the run was last updated.
- item_count: The number of items included in the saved run.
Use cases
- Track which TikTok products are rising in popularity over time
- Compare daily, weekly, or monthly product performance across regions
- Discover high-performing items for merchandising or sourcing ideas
- Monitor category trends to support market research and content planning
