Blinkit Grocery Store Dataset - Blinkit Grocery Data Extraction

Our Blinkit Grocery Store Dataset enables businesses to understand consumer behavior and optimize product placement. Through Blinkit grocery data extraction, we provide accurate insights that support demand forecasting, personalized marketing, and smarter inventory decisions, helping retailers achieve growth with data-driven strategies.

120K

SKUs monitored

20+

Cities covered

Real-Time

Update frequently

Structured Data Overview

Our datasets are designed to deliver rich, actionable insights for businesses in the food and retail sector. The Blinkit Grocery Store Dataset offers detailed information on product categories, customer preferences, and purchase trends. With Blinkit grocery data extraction, companies can access structured data for market analysis and growth strategies. Our grocery & gourmet data extraction solutions help brands track pricing, promotions, and competitor activity. Additionally, businesses can Extract Blinkit Grocery & Gourmet Food Data to optimize assortment planning, enhance marketing campaigns, and improve consumer targeting with reliable, up-to-date datasets that fuel smarter decision-making.

Blinkit Data Fields Include:

id, product_id, product_name, brand, category_hierarchy, product_price, mrp, discount, product_url, page_url, source, scraped_date, availability, shipping_charges, arrival_date, number_of_ratings, avg_rating, seller_name, color, size

Sample Dataset Preview

id	product_id	product_name	brand	category_hierarchy	product_price	mrp	discount	product_url	page_url	source	scraped_date	availability	shipping_charges	arrival_date	number_of_ratings	avg_rating	seller_name	color	size
1	BBK1001	Fresho! Bananas (1 kg)	Fresho!	Fruits & Vegetables > Bananas	₹50.00 ($0.60)	₹60.00 ($0.72)	17%	https://www.blinkit.com/product/bbk1001	https://www.blinkit.com/category/fruits-vegetables/bananas	binkit.com	7/17/2025	In Stock	Free	7/18/2025	1,345	4.5	Blinkit Official	Yellow	1 kg
2	BBK1002	Amul Full Cream Milk 1 L	Amul	Dairy & Eggs > Milk & Cream	₹60.00 ($0.72)	₹70.00 ($0.84)	14%	https://www.blinkit.com/product/bbk1002	https://www.blinkit.com/category/dairy-eggs/milk-cream	binkit.com	7/17/2025	In Stock	Free	7/18/2025	1,023	4.2	Blinkit Store	White	1 L
3	BBK1003	Grapes Green Seedless (500 g)	Fresho!	Fruits & Vegetables > Grapes	₹120.00 ($1.45)	₹150.00 ($1.80)	20%	https://www.blinkit.com/product/bbk1003	https://www.blinkit.com/category/fruits-vegetables/grapes	binkit.com	7/17/2025	In Stock	Free	7/19/2025	878	4.1	Blinkit Official	Green	500 g
4	BBK1004	Organic Eggs Tray (6 pcs)	Fresho!	Pantry > Eggs	₹72.00 ($0.87)	₹90.00 ($1.08)	20%	https://www.blinkit.com/product/bbk1004	https://www.blinkit.com/category/pantry/eggs	binkit.com	7/17/2025	In Stock	Free	7/18/2025	654	3.9	Blinkit Store	White	6 pcs

Use Cases

Price Trend Analysis

Customer Behavior Insights

Inventory Demand Forecasting

Competitor Pricing Comparison

Market Opportunity Identification

Product Performance Tracking

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

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