rebrowser/shopee-dataset
Shopee Product Listings Dataset Daily snapshots of Shopee product listings across Taiwan and Southeast Asian marketplaces with variant pricing, seller metrics, ratings, and shipping data. This dataset is a preview sample of the Shopee dataset published by Rebrowser. If you're doing academic research, you may be eligible for free access to a much larger slice — see Free Datasets for Research. This dataset contains 1 entity, each in its own folder: Product Details… See the full description on the dataset page: https://huggingface.co/datasets/rebrowser/shopee-dataset.
language:
- en license: cc-by-nc-4.0 pretty_name: "Shopee Product Listings Dataset" tags:
- shopee
- e-commerce
- southeast-asia
- product-data
- marketplace
- pricing-data
- open-data
- data-science
- web-scraping
- scraper
- crawler
- data-collection size_categories:
- 10M<n<100M task_categories:
- other configs:
- configname: product-details datafiles:
- path: "product-details/data/*.parquet" split: train ---
Shopee Product Listings Dataset
Daily snapshots of Shopee product listings across Taiwan and Southeast Asian marketplaces with variant pricing, seller metrics, ratings, and shipping data.
This dataset is a preview sample of the Shopee dataset published by Rebrowser. If you're doing academic research, you may be eligible for free access to a much larger slice — see Free Datasets for Research.
This dataset contains 1 entity, each in its own folder: Product Details (product-details). See below for a full field breakdown, sample counts, and data distributions for each.
Found this useful? ❤️ Like this dataset on HuggingFace to help us keep publishing fresh data. Found an error? [Let us know](https://rebrowser.net/contact-us).
Product Details
Shopee product listings with variant pricing, discount percentages, seller ratings, shop metrics, shipping options, and category data across Southeast Asian marketplaces.
22,149,456 total records from 2025-10-26 to 2026-02-01, up to 30,000 rows in this sample (0.14% of full dataset). Exported as one file per day, up to 1,000 rows each, last 30 days retained.
🔒 Premium fields are included in the data files but their values are replaced with [PREMIUM]. To access real values, use our website.Field Distributions
<details> <summary><strong>Products by Currency (Market)</strong> (<code>currency</code>)</summary>
</details>
<details> <summary><strong>Item Status Distribution</strong> (<code>status</code>)</summary>
</details>
<details> <summary><strong>Product Condition (New vs Used)</strong> (<code>condition</code>)</summary>
</details>
Pre-built Views on Rebrowser
Rebrowser web viewer lets you filter, sort, and export any slice of this dataset interactively. These pre-built views are ready to open:
Product Details
Products with Customer Ratings — 3,103,614 records
↳ [{"field":"ratingCount","op":"gt","value":10},{"sort":"ratingCount DESC"}]
All Products — 32,860,690 records
↳ [{"sort":"createdAt DESC"}]
Products with Active Discounts — 10,485,430 records
↳ [{"field":"discount","op":"gte","value":10},{"sort":"discount DESC"}]
Products with Free Shipping — 403,610 records
↳ [{"field":"isFreeShipping","op":"isTrue"},{"sort":"likedCount DESC"}]
Official Shop Products — 1,266,279 records
↳ [{"field":"isOfficialShop","op":"isTrue"},{"sort":"shopItemCount DESC"}]
[See all 20 views →](https://rebrowser.net/products/datasets/shopee/product-details)
Code Examples
import pandas as pd
from pathlib import Path
# Load the last 7 days of Shopee product snapshots
files = sorted(Path('rebrowser/shopee-dataset/product-details/data').glob('*.parquet'))[-7:]
df = pd.concat([pd.read_parquet(f) for f in files])
# Top 20 brands by number of listings
print(df['brand'].value_counts().head(20).to_string())
# Average rating and review count by currency (market)
market_stats = df.groupby('currency').agg(
avg_rating=('ratingAvg', 'mean'),
avg_reviews=('commentCount', 'mean'),
listings=('itemId', 'count')
).sort_values('listings', ascending=False)
print(market_stats.to_string())
# Products with the deepest discounts (30%+)
deep_discounts = df[df['discount'] >= 30].sort_values('discount', ascending=False)
print(deep_discounts[['title', 'brand', 'currency', 'priceMin', 'discount', 'ratingAvg']].head(20)
.to_string(index=False))
# Top shops by follower count
top_shops = (df.drop_duplicates('shopId')
.nlargest(15, 'shopFollowerCount')
[['shopName', 'shopRating', 'shopFollowerCount', 'shopItemCount']])
print(top_shops.to_string(index=False))Use Cases
Pricing Strategy Research
Compare variant-level pricing across sellers and categories to identify discount patterns and competitive positioning on Shopee marketplaces.
Seller Benchmarking
Rank shops by ratings, response rates, follower counts, and product volume. Identify traits that distinguish top-performing Shopee sellers.
Market Entry Analysis
Evaluate product density, competition levels, and pricing ranges by category and currency to assess expansion opportunities across Southeast Asian markets.
Promotion Pattern Detection
Study discount percentages, pre-order adoption, and free shipping rates across product categories to understand promotional dynamics.
Full Dataset on Rebrowser
This is a 1,000-row preview sample. The full dataset is at rebrowser.net/products/datasets/shopee
Doing academic research? You may qualify for free access to a larger slice. See Free Datasets for Research.
On Rebrowser you can:
- Filter before you buy — use the web UI to apply documented filters and sortable columns. Preview results before purchasing; paid exports freeze their exact selected identities before billing.
- Export in your format — CSV, JSON, JSONL, or Parquet depending on your plan.
- Access via API — integrate dataset queries into your pipelines and workflows.
- Choose your freshness — plans range from a 14-day lag to real-time data with no delay.
- Select only the fields you need — keep exports lean. Premium fields with richer data are available on higher plans.
Pricing starts at $2 per 1,000 rows with volume discounts.
License & Terms
Free for research and non-commercial use with attribution. See license terms and how to cite.
@misc{rebrowser_shopee,
author = {Rebrowser},
title = {Shopee Product Listings Dataset},
year = {2026},
howpublished = {\url{https://rebrowser.net/products/datasets/shopee}},
note = {Accessed: YYYY-MM-DD}
}Commercial use requires a paid license — see pricing. Use of this data is governed by the Rebrowser Terms of Use, which may be updated at any time independently of this dataset.
Disclaimer
Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Shopee. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Shopee user credentials. By using this dataset, you agree to comply with Shopee's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset does not infringe on the rights of any third party.
