Weekly Basket Price Trends on Walmart & Instacart USA

The U.S. grocery market is undergoing a significant transformation. Consumers are price-sensitive, digital-first, and expect transparent value across platforms like Walmart and Instacart. For U.S. grocery brands and retailers, staying competitive demands consistent weekly grocery price insights across various platforms and regions. That’s where iWeb Data Scraping for U.S. grocery brands delivers a game-changing edge — offering automated Instacart basket price monitoring and USA retail price comparison tools. By tracking Walmart vs Instacart pricing strategy on a weekly basis, iWeb provides detailed, basket-level pricing analytics that reveal platform discrepancies, regional pricing shifts, and promotional trends. This high-resolution visibility into Instacart and Walmart grocery baskets weekly empowers brands to make smarter pricing decisions and stay ahead in a fast-evolving market.

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The-Business-Challenge

Business Challenge

A U.S.-based retail intelligence platform approached us with 3 key pain points:

  • No reliable tool for tracking Walmart vs Instacart pricing weekly
  • Limited insights into regional price differences across cities
  • No basket-level analysis — only isolated SKU data

They wanted a solution to:

  • Track full grocery baskets (50–100 SKUs)
  • Monitor price trends weekly across top U.S. cities
  • Deliver visual analytics and CSV/API data streams

Our Scraping Approach

We designed a scalable scraping and API ingestion model to collect data from:

  • Walmart.com (Local Store Mode + Zip Code Filter)
  • Instacart.com (Retailer-specific + Delivery Service Pricing)

Data Points Captured:

  • Product Name & SKU
  • Original Price & Promo Price
  • Quantity & Pack Size
  • Available Coupons
  • City & Zip Code
  • Delivery Fee (Instacart only)
  • Brand & Category Tag
Our-Scraping-Approach

Sample Weekly Basket Data

City Product Platform Price Discount Delivery Fee Final Cost Date
New York Eggs (12 ct) Walmart $3.25 $0.25 $0 $3.00 2025-07-01
New York Eggs (12 ct) Instacart $3.40 $0.00 $1.49 $4.89 2025-07-01
San Francisco Milk 1L Walmart $2.75 $0.25 $0 $2.50 2025-07-01
San Francisco Milk 1L Instacart $2.80 $0.00 $1.99 $4.79 2025-07-01
Chicago Bread Loaf Walmart $1.89 $0.10 $0 $1.79 2025-07-01
Chicago Bread Loaf Instacart $1.95 $0.00 $1.49 $3.44 2025-07-01
Regional-Coverage

Regional Coverage

Weekly basket data is collected across:

  • New York (10001, 10011, 11201)
  • San Francisco (94103, 94110)
  • Chicago (60601, 60657)
  • Los Angeles (90001, 90015)
  • Phoenix (85001, 85018)

This allows brands to see how one SKU’s price can vary $1–$3 depending on platform and location.

They rolled out a “Smart Shopper Weekly Tracker” feature on their platform—powered entirely by our data.

Weekly Insights Delivered

The scraped data is delivered in:

  • Weekly CSV files
  • API JSON feeds
  • Google Data Studio dashboards

Insights included:

  • SKUs with most price hikes
  • Top discounted products
  • Cheapest vs. costliest baskets by city
  • Instacart price markup alerts
Weekly-Insights-Delivered
Impact-for-the-Client

Impact for the Client

  • Identified 15–22% Instacart markups vs. Walmart
  • Detected weekly price drops for core FMCG SKUs
  • Gained visibility into location-based price variations
  • Used trendlines for monthly planning & retail insights

They rolled out a “Smart Shopper Weekly Tracker” feature on their platform—powered entirely by our data.

Use Cases Across Industries

  • Retail Intelligence Platforms: Offer weekly trends to end users
  • FMCG Brands: Monitor price compliance on Walmart/Instacart
  • Grocery Startups: Benchmark cost of entry in new markets
  • Consumer Advocacy Groups: Track inflation impacts on staples
Use-Cases-Across-Industries
Impact-for-the-Client

Technical Stack

  • Scrapers: Python (Playwright + Requests)
  • Sources: Mobile API + Desktop scraping
  • Frequency: Weekly (can support daily on-demand)
  • Hosting: AWS Lambda + S3 + Athena
  • Output: CSV, Excel, JSON, PostgreSQL

Legal & Ethical Considerations

  • Rate-limited API hits to avoid IP bans
  • Public-facing pricing pages only
  • Client requested disclaimers for fair use
  • No login or checkout data collected
Use-Cases-Across-Industries

Conclusion

With grocery prices continuing to rise, basket-level pricing intelligence has become essential for competitive strategy. Leveraging Instacart data scraping services from iWeb Data Scraping, the client now receives weekly grocery price insights, enabling them to monitor price fluctuations between Instacart and Walmart with precision. This approach supports real-time responses to pricing changes, empowers marketing teams with trend-driven analytics, and ensures greater pricing transparency for U.S. consumers through accurate regional grocery price comparison in the USA.

Let’s Talk About Product

What's Next?

We start by signing a Non-Disclosure Agreement (NDA) to protect your ideas.

Our team will analyze your needs to understand what you want.

You'll get a clear and detailed project outline showing how we'll work together.

We'll take care of the project, allowing you to focus on growing your business.