Pinduoduo Datasets - Pinduoduo Data Scraping Solution

Unlock smarter ecommerce insights with Pinduoduo Datasets and our advanced Pinduoduo Data Scraping Solution. Collect real time product prices, reviews, seller details, and trends to power research, competitive analysis, and growth strategies. Get scalable, accurate data pipelines tailored for analysts, marketers, and developers across global markets and multiple industries worldwide.

120K

SKUs monitored

20+

Cities covered

Real-Time

Update frequently

What's Inside Our Datasets?

Our datasets are built to give you complete visibility into the fast-moving eCommerce landscape. With Custom eCommerce Dataset Scraping, you gain access to structured data on products, pricing trends, seller performance, customer reviews, and promotional activity—all delivered in clean, ready-to-use formats. Designed for scalability, our pinduoduo datasets for market analysis help businesses track competitors, identify emerging trends, and optimize pricing strategies with confidence. Whether you’re a data analyst, marketer, or product manager, our datasets support smarter decision-making by transforming raw marketplace information into actionable insights that drive growth, efficiency, and long-term success in highly competitive digital markets.

The Pinduoduo Dataset includes product title, product ID, category, brand name, price, discount offers, seller name, seller rating, customer reviews, and sales volume

Sample Dataset Preview

id	Platform_Name	Country	Store_Name	Product_Sku_Id	Product_Name	Brand	Category	Sub_Category	Product_Price_CNY	Product_Mrp_CNY	Discount_Percent	Product_Rating	Review_Count	Availability_Status	Seller_Name	Seller_Rating	City	Product_Url	Scrape_Date
1	Pinduoduo	China	PDD Official	PDD1001	Xiaomi Redmi 13C	Xiaomi	Electronics	Mobile Phones	899	999	10	4.6	12450	In Stock	Xiaomi Official Store	4.8	Shanghai	https://mobile.pinduoduo.com/goods/1001	2025-01-15
2	Pinduoduo	China	PDD Official	PDD1002	Huawei FreeBuds SE	Huawei	Electronics	Earbuds	299	349	14	4.5	9800	In Stock	Huawei Official Store	4.7	Beijing	https://mobile.pinduoduo.com/goods/1002	2025-01-15
3	Pinduoduo	China	PDD Official	PDD1003	Nike Sports Shoes	Nike	Fashion	Shoes	459	599	23	4.7	15600	In Stock	Nike Flagship Store	4.9	Guangzhou	https://mobile.pinduoduo.com/goods/1003	2025-01-15
4	Pinduoduo	China	PDD Official	PDD1004	Adidas Training T-Shirt	Adidas	Fashion	T-Shirts	129	169	24	4.6	8600	In Stock	Adidas Flagship Store	4.8	Shenzhen	https://mobile.pinduoduo.com/goods/1004	2025-01-15

Use Cases

Price Monitoring

Market Research

Competitor Analysis

Trend Forecasting

Demand Planning

Sales Optimization

Why Product Data Scrape?

Why Choose Product Data Scrape for Retail Data Web Scraping?

Choose Product Data Scrape for Retail Data scraping to access accurate data, enhance decision-making, and boost your online sales strategy.

Reliable Insights

With our Retail data scraping services, you gain reliable insights that empower you to make informed decisions based on accurate product data.

Data Efficiency

We help you extract Retail Data product data efficiently, streamlining your processes to ensure timely access to crucial market information.

Market Adaptation

By leveraging our Retail data scraping, you can quickly adapt to market changes, giving you a competitive edge with real-time analysis.

Price Optimization

Our Retail Data price monitoring tools enable you to stay competitive by adjusting prices dynamically, attracting customers while maximizing your profits effectively.

Competitive Edge

With our competitor price tracking, you can analyze market positioning and adjust your strategies, responding effectively to competitor actions and pricing.

Feedback Analysis

Utilizing our Retail Data review scraping, you gain valuable customer insights that help you improve product offerings and enhance overall customer satisfaction.

Process

How We Scrape E-Commerce Data?

Identify Target Websites

Begin by selecting the e-commerce websites you want to scrape, focusing on those that provide the most valuable data for your needs.

Select Data Points

Determine the specific data points to extract, such as product names, prices, descriptions, and reviews, to ensure comprehensive insights.

Use Scraping Tools

Utilize web scraping tools or libraries to automate the data extraction process, ensuring efficiency and accuracy in gathering the desired information.

Data Cleaning

After extraction, clean the data to remove duplicates and irrelevant information, ensuring that the dataset is organized and useful for analysis.

Analyze Extracted Data

Once cleaned, analyze the extracted e-commerce data to gain insights, identify trends, and make informed decisions that enhance your strategy.

See the results that matter

Read inspiring client journeys

Discover how our clients achieved success with us.

6X

Conversion Rate Growth

“I used Product Data Scrape to extract Walmart fashion product data, and the results were outstanding. Real-time insights into pricing, trends, and inventory helped me refine my strategy and achieve a 6X increase in conversions. It gave me the competitive edge I needed in the fashion category.”

Emily Johnson

E-Commerce Manager

7X

Sales Velocity Boost

“Through Kroger sales data extraction with Product Data Scrape, we unlocked actionable pricing and promotion insights, achieving a 7X Sales Velocity Boost while maximizing conversions and driving sustainable growth.”

Sarah Miller

Grocery Retail Analytics Lead

"By using Product Data Scrape to scrape GoPuff prices data, we accelerated our pricing decisions by 4X, improving margins and customer satisfaction."

Daniel Williams

Quick Commerce Growth Manager

"Implementing liquor data scraping allowed us to track competitor offerings and optimize assortments. Within three quarters, we achieved a 3X improvement in sales!"

Matthew Davis

Category Head – Beverages & Liquor

Resource Hub: Explore the Latest Insights and Trends

The Resource Center offers up-to-date case studies, insightful blogs, detailed research reports, and engaging infographics to help you explore valuable insights and data-driven trends effectively.

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