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[Time Deal] haruharu wonder Black Rice Moisture Deep Cleansing Oil 150ml and ROUND LAB 1025 Dokdo Cleansing Oil 200ml share 4 parsed ingredients. Differences highlighted below.
Shared 4[Time Deal] haruharu wonder Black Rice Moisture Deep Cleansing Oil 150ml only 0ROUND LAB 1025 Dokdo Cleansing Oil 200ml only 24
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14%
From the parsed labels — rows on every label over all compared rows. Partial captures footnoted under the board.
| on 2+ labelsonly on this labelnot on this labelIngredient | ![]() haruharu wonder [Time Deal] haruharu wonder Black Rice Moisture Deep Cleansing Oil 150ml$14.11 | |
|---|---|---|
Basics | ||
| Type & size | Cleanser · size not on the record | Cleanser · size not on the record |
| Brand origin | Korean | Korean |
Offers | ||
| Where to buy | No offers listed | No offers listed |
| Availability | No offers listed | No offers listed |
Formula | ||
| Key activesdiffers | Not recorded | allantoin, panthenol, hyaluronic acid, ceramide np, sodium hyaluronate |
| Free ofdiffers | Not recorded | sulfate-free, alcohol-free, paraben-free, silicone-free |
| Heads-updiffers | None flagged from the checks we ranPore data not yet reviewed | fragrance allergens · fungal-acne triggerPore data not yet reviewed |
Fit & community | ||
| Rating | No reviews yet | No reviews yet |
| Best for | Not recorded | Not recorded |
Data quality | ||
| Label coveragediffers | Partially captured — 4 of 9 label entries matched, some checks not run | Fully parsed · 28 ingredients |
Key actives · 5 | ||
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
Rest of the labels · 19 | ||
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
| no | yes | |
haruharu wonder's label is only partially captured — rows may grow as parsing completes.
Rows come from parsed labels and live offers. Where a label isn’t fully captured, we say so instead of guessing.
This is not medical advice.
Suggested from shared ingredients on the parsed labels — each pair opens as its own comparison.