Swiggy Instamart Grocery Store Dataset - Swiggy Instamart Grocery Data Extraction

Our Swiggy Instamart Grocery Store Dataset enables businesses to understand consumer behavior and optimize product placement. Through Swiggy Instamart 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 Swiggy Instamart Grocery Store Dataset offers detailed information on product categories, customer preferences, and purchase trends. With Swiggy Instamart 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 Swiggy Instamart 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.

Swiggy Instamart 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	SWI1001	Farm Fresh Milk 1 L	Farm Fresh	Dairy > milk & milk alternatives	$1.20	$1.50	20%	https://www.swiggy.com/instamart/products/swi1001-farm-fresh-milk-1l	https://www.swiggy.com/instamart/dairy-milk	Swiggy Instamart	7/23/2025	In Stock	Free	7/23/2025	320	4.5	Farm Fresh Official	White	1 L
2	SWI1002	Breadlife Brown Bread 600 g	Breadlife	Bakery > Bread & Buns	$2.00	$2.50	20%	https://www.swiggy.com/instamart/products/swi1002-breadlife-brown-bread-600g	https://www.swiggy.com/instamart/bakery-bread-buns	Swiggy Instamart	7/23/2025	In Stock	Free	7/23/2025	215	4.2	Breadlife Store	Brown	600 g
3	SWI1003	Tropicana 100% Orange Juice 1 L	Tropicana	Beverages > Juices & Nectars	$3.50	$4.00	12%	https://www.swiggy.com/instamart/products/swi1003-tropicana-orange-juice-1l	https://www.swiggy.com/instamart/beverages-juice	Swiggy Instamart	7/23/2025	In Stock	Free	7/23/2025	180	4.6	Tropicana Official	Orange	1 L
4	SWI1004	Patanjali Chyawanprash 500 g	Patanjali	Health & Wellness > Supplements & Vitamins	$6.00	$7.50	20%	https://www.swiggy.com/instamart/products/swi1004-patanjali-chyawanprash-500g	https://www.swiggy.com/instamart/health-supplements	Swiggy Instamart	7/23/2025	In Stock	Free	7/23/2025	145	4.3	Patanjali Store	Brown	500 g

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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