Discover promising product categories, research best-selling listings, analyze shops, and check an idea against Tokopedia data.
Explore categories · Compare products · Research sellers
| Category | Sales | Avg. revenue | With sales |
|---|---|---|---|
| Kotak Karton | 63.2M | Rp 4.2M | 14% |
| Face Mist | 35.3M | Rp 22M | 2% |
| Cleanser Wajah | 29.7M | Rp 7.4M | 2% |
| Paket Perawatan Wajah | 26.6M | Rp 18M | 2% |
Leaf categories from the current Tokopedia snapshot. Revenue is in IDR.
Move from a category to the listings inside it, then to the shops that already sell them.
Compare categories by sales, revenue, and how widely those sales are spread before you spend time on a niche.
Open the listings inside a category and compare price, discount, sales, and the share of the category they take.
Open the shops behind a niche, compare their sales and revenue, and see how much of each catalog actually sells.
Paste a Tokopedia product URL and land on that listing’s metrics. This screen is not built yet.
Use the tables together, one step at a time.
Browse leaf categories and see where sales and revenue already sit.
Compare listings in that category by sales, price, and reviews.
Open the shops and look through the catalogs they already run.
The URL analyzer is planned. Until then, open the product from the table.
Switch between the three tables. These rows are from the current Tokopedia data, not a drawing.
Sales, revenue, and the share of listings that sold, so you can decide which niche to open next.
Explore categories →| Category | Sales | Avg. revenue | With sales |
|---|---|---|---|
| Kotak Karton | 63.2M | Rp 4.2M | 14% |
| Face Mist | 35.3M | Rp 22M | 2% |
| Cleanser Wajah | 29.7M | Rp 7.4M | 2% |
| Paket Perawatan Wajah | 26.6M | Rp 18M | 2% |
Leaf categories from the current Tokopedia snapshot. Revenue is in IDR.
The tables are Tokopedia in Indonesia. Other marketplaces are not in this dataset.
For the decision before you buy stock, not for running a warehouse or an ad account.
Check a niche, the listings inside it, and the shops already there.
Sort categories by sales and open only the ones worth a closer look.
See demand and who already carries a similar assortment.
Read the category before treating an empty search as an empty market.
Guests can read the first page of each table. Filters, sorting, and further pages ask you to sign in.
Start exploring →What this dataset is, and what it is not.
A research desk for Tokopedia: categories, listings, and shops from one collected snapshot.
Tokopedia in Indonesia. Shopee, Lazada, and TikTok Shop are not in this dataset.
This build shows one snapshot. It is not a live ticker, and the screen does not show the collection date to guests.
Yes. Open a category, then the products sorted by sales, price, discount, and reviews.
Yes. The seller table shows catalog size, sales, revenue, and how much of that catalog has sales.
Not yet. The URL analyzer is planned. Today you open a listing from the product table.
Yes. The first page of each table is open. A filter, a sort, or another page asks you to log in.
Open the leaf categories, then the listings, then the shops.
Start exploring →