Dataset · China E‑Commerce
Pinduoduo Product Data, prices, group‑buy & sales volume
100 million+ SKUs across all categories – pricing, group‑buy discounts, sales volume, stock status, and merchant data, refreshed daily and delivered in the format your team uses.
Tracking 100M+ SKUs across China
100M+SKUs covered
DailyPrice & group‑buy refresh
16Structured fields
pinduoduo-products.json
Group‑buy prices
Real‑time discounts
Real‑time discounts
Sales volume
Units sold & trends
Units sold & trends
100M+ SKUsAll categories
China coverageAll major regions
JSON, CSV & ExcelSame schema, any format
Daily refreshPrices, group‑buy deals
Overview
Pinduoduo data, without the complexity of building a scraper
Pinduoduo is one of the largest and most dynamic e‑commerce platforms in China, known for its group‑buy model and hyper‑competitive pricing. But scraping it reliably is a huge challenge – aggressive anti‑bot measures, dynamic rendering, and location‑based content make it a nightmare to maintain.
The Pinduoduo Product Dataset removes that burden entirely. You get clean, structured data on product pricing, group‑buy discounts, sales volume, stock status, and merchant details – normalized across categories and refreshed daily. You focus on insights, not infrastructure.
- 100M+ SKUs across all product categories
- Current price, group‑buy discount, and MRP
- Sales volume and merchant information
- Stock status and category hierarchy
- Free sample export before you commit
See it before you buy it
The same Pinduoduo records, in whichever format your stack expects
No conversion step, no separate schema to learn – switch formats any time without touching your pipeline.
pinduoduo-products.json
[
{
"product_id": "PDD1001",
"title": "Wireless Bluetooth Earbuds",
"price": 29.99,
"group_price": 19.99,
"sales_volume": 12500,
"stock_status": "in_stock",
"category": "Electronics"
},
{
"product_id": "PDD2002",
"title": "Stainless Steel Water Bottle",
"price": 15.50,
"group_price": 12.00,
"sales_volume": 8400,
"stock_status": "limited_stock",
"category": "Home & Kitchen"
}
]
{
"product_id": "PDD1001",
"title": "Wireless Bluetooth Earbuds",
"price": 29.99,
"group_price": 19.99,
"sales_volume": 12500,
"stock_status": "in_stock",
"category": "Electronics"
},
{
"product_id": "PDD2002",
"title": "Stainless Steel Water Bottle",
"price": 15.50,
"group_price": 12.00,
"sales_volume": 8400,
"stock_status": "limited_stock",
"category": "Home & Kitchen"
}
]
| product_id | title | price | group_price | sales_volume | stock_status | category |
|---|---|---|---|---|---|---|
| PDD1001 | Wireless Bluetooth Earbuds | 29.99 | 19.99 | 12500 | in_stock | Electronics |
| PDD2002 | Stainless Steel Water Bottle | 15.50 | 12.00 | 8400 | limited_stock | Home & Kitchen |
| PDD3003 | Organic Green Tea 100g | 8.99 | 6.50 | 3200 | in_stock | Grocery |
| PDD4004 | Smart LED Bulb (4-pack) | 12.99 | 9.99 | 5600 | out_of_stock | Home & Kitchen |
| A · product_id | B · title | C · price | D · group_price | E · sales_volume | F · stock_status | |
|---|---|---|---|---|---|---|
| 1 | PDD1001 | Wireless Bluetooth Earbuds | 29.99 | 19.99 | 12500 | in_stock |
| 2 | PDD2002 | Stainless Steel Water Bottle | 15.50 | 12.00 | 8400 | limited_stock |
| 3 | PDD3003 | Organic Green Tea 100g | 8.99 | 6.50 | 3200 | in_stock |
| 4 | PDD4004 | Smart LED Bulb (4-pack) | 12.99 | 9.99 | 5600 | out_of_stock |
How it works
From request to a running data feed
1
Request a sample
Tell us the categories or product IDs you care about – no commitment needed.
2
Review real data
We send a live export so you can check schema, coverage, and quality against your own use case.
3
Pick a plan
Choose coverage and refresh frequency based on what the sample showed you.
4
Choose your delivery
JSON, CSV, Excel, S3, or a direct warehouse connection – set once, delivered on schedule.
5
Data keeps flowing
Daily refresh on pricing and group‑buy deals, with monitoring in place if Pinduoduo changes anything upstream.
Why choose ScraperScoop
What makes this Pinduoduo dataset reliable
Built for Pinduoduo’s unique anti‑bot measures
Pinduoduo uses aggressive anti‑scraping and dynamic rendering. Our infrastructure is engineered specifically to handle these challenges at scale.
Daily refresh on pricing and group deals
Group‑buy prices and stock can change multiple times a day. We refresh daily by default, with more frequent options available on Growth and Enterprise plans.
Group‑buy and social commerce data
We capture not only the retail price but also the group‑buy discount, minimum order quantity, and social sharing metrics – essential for competitive analysis.
One schema, every format
JSON, CSV, and Excel exports all share the same field names and types, so moving between tools or formats never means remapping your pipeline.
99.95% uptime SLA
The dataset runs on the same infrastructure as our enterprise API, backed by a contractual uptime commitment on Growth and Enterprise plans.
A team that answers
Questions about schema, coverage, or a field you don't see get answered by someone who understands the dataset, not a ticket queue.
Dataset schema
Every field included, in plain terms
| Field | Description | Type |
|---|---|---|
| product_id | Pinduoduo product identifier | Core |
| title | Full product title | Core |
| brand | Brand or merchant name | Core |
| price | Current selling price | Pricing |
| group_price | Discounted price for group‑buy | Pricing |
| min_order_qty | Minimum quantity for group‑buy | Pricing |
| sales_volume | Total units sold | Core |
| stock_status | In stock / limited / out of stock | Core |
| category | Primary category | Core |
| subcategory | Secondary category | Core |
| images | Product image URLs | Optional |
| description | Product description text | Optional |
| rating | Average user rating | Optional |
| review_count | Total number of reviews | Optional |
| merchant_id | Seller identifier | Core |
| region | China region / province | Optional |
| last_updated | Timestamp of most recent refresh | Core |
PINDUODUO_PRODUCT_SAMPLE.CSV
Previewing 10 of 100 records
| goods_id | goods_name | short_name | price_yuan | price_cents | group_price_yuan | market_price_yuan | normal_price_yuan | sales | quality | goods_type | quantity | cnt | tags_count | icon_list_count | image_url | hd_url | link_url | category | subcategory |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6.66441E+11 | 中老年冬装羽绒棉服棉衣短款妈妈秋冬外套新款中年冬季加厚棉袄 | 中老年冬装羽绒棉服棉衣短款妈妈秋冬外套新款中年冬季加厚棉袄 | 88 | 8800 | 88 | 301 | 238 | 12000 | 90 | 1 | 100 | 12000 | 1 | 2 | https://commimg.pddpic.com/ad-promotion/2024-12-23/40051d82-eea9-4743-b346-beccfe30c24b.jpeg | https://commimg.pddpic.com/ad-promotion/2024-12-23/40051d82-eea9-4743-b346-beccfe30c24b.jpeg | goods.html?goods_id=666440880121&_oak_rcto=YWJ9ggGCU1zBzHM6Tm3JebewIQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oc_trace_mark=199&_oc_adinfo=eyJwYWdlX3NuIjoxMDAyOCwic2NlbmVfaWQiOjR9&_oak_gallery_token=db87e7b85bdb397dd302445df45c05e0&_oak_gallery=https://commimg.pddpic.com/ad-promotion/2024-12-23/40051d82-eea9-4743-b346-beccfe30c24b.jpeg&_oc_refer_ad=1 | woman's clothing | coats |
| 8.51593E+11 | 棉服女短款2025年冬季新款韩版宽松ins棉袄外套加厚保暖连帽棉服 | 棉服女短款2025年冬季新款韩版宽松ins棉袄外套加厚保暖连帽棉服 | 55 | 5500 | 55 | 70.9 | 69.9 | 1996 | 90 | 1 | 100 | 1996 | 1 | 1 | https://img.pddpic.com/mms-material-img/2025-11-08/1ec31be0-682f-41a7-99e6-81b5136807d8.jpeg.a.jpeg | https://img.pddpic.com/mms-material-img/2025-11-08/1ec31be0-682f-41a7-99e6-81b5136807d8.jpeg.a.jpeg | goods.html?goods_id=851592903426&_oak_rcto=YWLXfVE020xW0P_9kYmwOV2RIQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oak_gallery_token=3d601de10771f72ad8c92b1ed317f42a&_oak_gallery=https://img.pddpic.com/mms-material-img/2025-11-08/1ec31be0-682f-41a7-99e6-81b5136807d8.jpeg.a.jpeg | woman's clothing | coats |
| 2.02242E+11 | 妈妈冬装外套加绒加厚羽绒棉服中长款小个子中老年女棉衣冬季袄子 | 妈妈冬装外套加绒加厚羽绒棉服中长款小个子中老年女棉衣冬季袄子 | 88.36 | 8836 | 88.36 | 220 | 189 | 8306 | 90 | 1 | 100 | 8306 | 1 | 1 | https://img.pddpic.com/mms-material-img/2024-11-29/c0e3de40-1269-4711-ac7f-dbbdf6292daa.jpeg | https://img.pddpic.com/mms-material-img/2024-11-29/c0e3de40-1269-4711-ac7f-dbbdf6292daa.jpeg | goods.html?goods_id=202241653520&_oak_rcto=YWL9bv73AcPReW0EpK29sil_IQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oc_trace_mark=199&_oc_adinfo=eyJwYWdlX3NuIjoxMDAyOCwic2NlbmVfaWQiOjR9&_oak_gallery_token=e90feb7b03325b790c5a75fcac6b7bc3&_oak_gallery=https://img.pddpic.com/mms-material-img/2024-11-29/c0e3de40-1269-4711-ac7f-dbbdf6292daa.jpeg&_oc_refer_ad=1 | woman's clothing | coats |
| 6.44464E+11 | 2025爆款棉衣女中长款棉服冬季新款修身棉袄加厚毛领保暖外套 | 2025爆款棉衣女中长款棉服冬季新款修身棉袄加厚毛领保暖外套 | 99.9 | 9990 | 99.9 | 289 | 109.9 | 9718 | 90 | 1 | 100 | 9718 | 2 | 1 | https://img.pddpic.com/mms-material-img/2024-08-27/d39ac553-f26f-46f2-a116-5f68cd0828d1.jpeg | https://img.pddpic.com/mms-material-img/2024-08-27/d39ac553-f26f-46f2-a116-5f68cd0828d1.jpeg | goods.html?goods_id=644463643682&_oak_rcto=YWLWv3wPcCY19hpm6gLtzdGKIQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oc_trace_mark=199&_oc_adinfo=eyJwYWdlX3NuIjoxMDAyOCwic2NlbmVfaWQiOjR9&_oak_gallery_token=5f3fc1d8ebf7da846e4a6f60933e953e&_oak_gallery=https://img.pddpic.com/mms-material-img/2024-08-27/d39ac553-f26f-46f2-a116-5f68cd0828d1.jpeg&_oc_refer_ad=1 | woman's clothing | coats |
| 8.33009E+11 | 冬季棉衣女2025新款中长款棉服宽松加厚保暖休闲大码棉袄外套 | 冬季棉衣女2025新款中长款棉服宽松加厚保暖休闲大码棉袄外套 | 79.9 | 7990 | 79.9 | 198 | 85 | 12000 | 90 | 1 | 100 | 12000 | 1 | 1 | https://img.pddpic.com/mms-goods-image/2025-11-24/369ef4d9-dd85-4e1b-a255-35e0cbdc3d44.jpeg.a.jpeg | https://img.pddpic.com/mms-goods-image/2025-11-24/369ef4d9-dd85-4e1b-a255-35e0cbdc3d44.jpeg.a.jpeg | goods.html?goods_id=833009172886&_oak_rcto=YWKvAkosQNFpCgPnr4i14zFGIQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oc_trace_mark=199&_oc_adinfo=eyJwYWdlX3NuIjoxMDAyOCwic2NlbmVfaWQiOjR9&_oak_gallery_token=f7ed9a9feee02b146c84e0f32f7393b9&_oak_gallery=https://img.pddpic.com/mms-goods-image/2025-11-24/369ef4d9-dd85-4e1b-a255-35e0cbdc3d44.jpeg.a.jpeg&_oc_refer_ad=1 | woman's clothing | coats |
| 7.19158E+11 | 冬季中老年花棉袄女加绒加厚外穿宽松大码妈妈上衣东北特厚抗寒 | 冬季中老年花棉袄女加绒加厚外穿宽松大码妈妈上衣东北特厚抗寒 | 14.89 | 1489 | 14.89 | 99 | 39.9 | 24000 | 90 | 1 | 100 | 24000 | 2 | 1 | https://img.pddpic.com/mms-material-img/2023-08-07/e5b944c7-25b1-43e4-9026-0fca47fb6492.jpeg | https://img.pddpic.com/mms-material-img/2023-08-07/e5b944c7-25b1-43e4-9026-0fca47fb6492.jpeg | goods.html?goods_id=719158282984&_oak_rcto=YWJgtRGdG6eg5_1CuuZSG9_BIQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oak_gallery_token=62e6db8c2e0ea2814ddfe23f6b87e847&_oak_gallery=https://img.pddpic.com/mms-material-img/2023-08-07/e5b944c7-25b1-43e4-9026-0fca47fb6492.jpeg | woman's clothing | coats |
| 5.07735E+11 | 棉衣女小个子2024冬季羽绒棉服韩版宽松面包服加厚短款小棉袄外套 | 棉衣女小个子2024冬季羽绒棉服韩版宽松面包服加厚短款小棉袄外套 | 49.9 | 4990 | 49.9 | 80.9 | 79.9 | 28000 | 90 | 1 | 100 | 28000 | 1 | 0 | https://img.pddpic.com/mms-material-img/2023-10-05/11cd00d8-975f-408c-9bc3-b254ffa92a71.jpeg | https://img.pddpic.com/mms-material-img/2023-10-05/11cd00d8-975f-408c-9bc3-b254ffa92a71.jpeg | goods.html?goods_id=507735454177&_oak_rcto=YWLZCJ_5DgZIvllaaBE6eMx-IQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oc_trace_mark=199&_oc_adinfo=eyJwYWdlX3NuIjoxMDAyOCwic2NlbmVfaWQiOjR9&_oak_gallery_token=e2ee1312c2acf39b0503c15966e49330&_oak_gallery=https://img.pddpic.com/mms-material-img/2023-10-05/11cd00d8-975f-408c-9bc3-b254ffa92a71.jpeg&_oc_refer_ad=1 | woman's clothing | coats |
| 6.67105E+11 | 中长款冬季棉服2025新款中老年妈妈冬装加厚显瘦宽松棉衣棉袄外套 | 中长款冬季棉服2025新款中老年妈妈冬装加厚显瘦宽松棉衣棉袄外套 | 72 | 7200 | 72 | 169.8 | 108.8 | 4776 | 90 | 1 | 100 | 4776 | 2 | 2 | https://img.pddpic.com/garner-api-new/aigc-img/b751a7a9f53b3e5706eb661ee6331213-834b4-1730602266.jpg | https://img.pddpic.com/garner-api-new/aigc-img/b751a7a9f53b3e5706eb661ee6331213-834b4-1730602266.jpg | goods.html?goods_id=667104598954&_oak_rcto=YWLXfVE020xW0IlcU2_KAloWIQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oc_trace_mark=199&_oc_adinfo=eyJwYWdlX3NuIjoxMDAyOCwic2NlbmVfaWQiOjR9&_oak_gallery_token=233fe29a52d39019ef9bae24bcece0aa&_oak_gallery=https://img.pddpic.com/garner-api-new/aigc-img/b751a7a9f53b3e5706eb661ee6331213-834b4-1730602266.jpg&_oc_refer_ad=1 | woman's clothing | coats |
| 8.67242E+11 | 派克服女2025年新款棉服韩版宽松加厚棉袄冬季大毛领短款棉衣外套 | 派克服女2025年新款棉服韩版宽松加厚棉袄冬季大毛领短款棉衣外套 | 75.8 | 7580 | 75.8 | 269 | 169 | 1514 | 90 | 1 | 100 | 1514 | 3 | 0 | https://img.pddpic.com/mms-material-img/2024-09-20/5f2657ef-0cac-4b6d-bee8-d7e5212b5eaf.jpeg | https://img.pddpic.com/mms-material-img/2024-09-20/5f2657ef-0cac-4b6d-bee8-d7e5212b5eaf.jpeg | goods.html?goods_id=867242263138&_oak_rcto=YWLNcUQF1kUfGEB3E6LATbbAIQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oc_trace_mark=199&_oc_adinfo=eyJwYWdlX3NuIjoxMDAyOCwic2NlbmVfaWQiOjR9&_oak_gallery_token=116c6abe892977ac671cb81ed93fd49f&_oak_gallery=https://img.pddpic.com/mms-material-img/2024-09-20/5f2657ef-0cac-4b6d-bee8-d7e5212b5eaf.jpeg&_oc_refer_ad=1 | woman's clothing | coats |
| 6.91341E+11 | 啄木鸟羽绒棉服女短款2025新款棉衣遮肉显瘦秋冬外套大码保暖棉袄 | 啄木鸟羽绒棉服女短款2025新款棉衣遮肉显瘦秋冬外套大码保暖棉袄 | 138 | 13800 | 138 | 298 | 158 | 3279 | 90 | 1 | 100 | 3279 | 1 | 0 | https://img.pddpic.com/open-gw/2024-12-31/50d67db1-2c2f-47bf-ba4e-0c3f477f7590.jpeg | https://img.pddpic.com/open-gw/2024-12-31/50d67db1-2c2f-47bf-ba4e-0c3f477f7590.jpeg | goods.html?goods_id=691341496368&_oak_rcto=YWL-l8TwN2XlAy3d1M3Csg77IQnz7ji8GyEjHARdjmzw4edK1J7b1U8oGE3KwmKr741HMT5FyhUgXg&_oc_trace_mark=199&_oc_adinfo=eyJwYWdlX3NuIjoxMDAyOCwic2NlbmVfaWQiOjR9&_oak_gallery_token=9aac9ae394ee92385627d76670ed7f8f&_oak_gallery=https://img.pddpic.com/open-gw/2024-12-31/50d67db1-2c2f-47bf-ba4e-0c3f477f7590.jpeg&_oc_refer_ad=1 | woman's clothing | coats |
Showing 10 records out of 100 total records in the file
Pricing
Priced by coverage, not by seat
Every plan includes JSON, CSV, and Excel delivery, plus a free sample before you commit.
Sample
Validate schema and quality before buying.
Free
500 sample records, one-time export
- Real, current Pinduoduo data
- JSON, CSV, or Excel
- Delivered within 1 business day
Starter
A defined category or merchant, daily refresh.
$399/ month
Up to 250,000 products, daily refresh
- 1 region (China)
- Daily price & group‑buy refresh
- JSON, CSV & Excel delivery
- Email support
Most popular
Growth
Multi‑category coverage with hourly group‑price updates.
$1,199/ month
Up to 2M products, hourly refresh
- All major categories
- Hourly price & group‑buy refresh
- Warehouse & S3 delivery
- Chat & email support, <4h
Enterprise
Full catalog, custom SLA.
Custom
Full 100M+ product catalog, all regions
- All regions in China
- 99.95% uptime SLA
- Dedicated account manager
- Custom schema fields on request
Delivery options
Get it however your team already works
JSON
CSV
Excel (.xlsx)
Amazon S3
Snowflake / BigQuery
REST API access
Webhooks
Why not build it yourself
Dataset vs. an in‑house Pinduoduo scraper
| Capability | ScraperScoop Dataset | In‑house scraper |
|---|---|---|
| Time to first data | Same day (sample) | Weeks to months |
| Anti‑bot handling | ||
| Group‑buy price detection | ||
| Maintenance when Pinduoduo changes | Handled for you | Your team's responsibility |
| Excel‑ready export |
What customers say
Teams using Pinduoduo data to win in China’s market
★★★★★
"The group‑buy data is invaluable for our pricing strategy. We can see exactly how competitors are discounting in real time."
★★★★★
"We tried building a Pinduoduo scraper ourselves and it broke constantly. ScraperScoop gave us reliable data in days."
★★★★★
"The Excel export is a lifesaver for our merchandising team – they can filter by category and group‑buy discount instantly."
Frequently asked
Questions about the Pinduoduo Product Dataset
The dataset includes product ID, title, brand, current price, group‑buy discount price, minimum order quantity, sales volume, stock status, category, merchant ID, region, and more – all structured for easy analysis.
Pricing and group‑buy discounts refresh daily by default, with hourly updates available on Growth and Enterprise plans.
Yes. We capture total sales volume, merchant ID, and merchant ratings where available – essential for competitive benchmarking and seller analysis.
Yes. The dataset is available as JSON, CSV, or Excel (.xlsx), with the same schema across all three formats.
Yes. Every plan includes a free sample export of real records so you can validate schema, coverage, and data quality before choosing a plan.
See real Pinduoduo data before you decide anything
Request a free sample and validate the dataset against your specific use case – group‑buy pricing, product trends, or merchant intelligence.
No commitment required to see real data first.
Free sample export
JSON, CSV & Excel
Group‑buy price tracking
