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 country : United States
 city : Columbus
US
Array
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    [country_code] => US
)
Navratri Mega Sale Price Tracking

Introduction

  • Why Baby Category tracking is critical for CPG and retail analytics.
  • Role of data scraping in understanding SKU availability and pricing trends.
  • How Kroger.com serves as a key benchmark for Baby product visibility.

Objectives

  • Extract all product details from the Baby department on Kroger.com.
  • Identify brand-level trends and stock availability.
  • Capture structured data including UPC, Size, Department, Sub-department, and Pricing.
  • Ensure clean, compliant data collection.

Data Points Extracted

Field Description
UPC Unique product identifier
Product Name Title of baby product
Brand Brand name from left-side filter
Department "Baby" (main category)
Sub-Department Example: Baby Food, Diapers, Skincare
Size Quantity or weight before UPC
Price Current price on product detail page
Availability In-stock / Out-of-stock status

Web Scraping Methodology

  • Site Target: kroger.com/baby/
  • Approach: Iterative brand selection + subcategory looping
  • Tools Used: Python, Selenium, BeautifulSoup, Actowiz Crawler Framework
  • Compliance: Throttled requests, robots.txt checks, and user-agent rotation
Process Flow:
  • 1. Accessed the Baby department landing page
  • 2. Collected brand names from the left-side panel
  • 3. Iterated each brand to collect product URLs
  • 4. Extracted detailed data (UPC, Name, Size, Price, Availability) from product pages
  • 5. Exported datasets to CSV and JSON for analysis

Challenges Faced

  • Infinite scroll pagination handling
  • Dynamic price rendering using JavaScript
  • Brand panel filters requiring DOM interaction
  • UPC sometimes hidden in nested HTML
  • Data normalization for size (e.g., 64 oz vs 1.8 L)

Data Sample Extracted

UPC Product Name Brand Category Sub-Department Size Price
00037000481823 Pampers Swaddlers Diapers Pampers Baby Diapers 84 ct $42.99
00011110887457 Gerber Banana Puree Gerber Baby Baby Food 3.5 oz $1.29
00079656016583 Johnson's Baby Lotion Johnson's Baby Skincare 13.6 fl oz $4.99
00037000633815 Huggies Wipes Sensitive Huggies Baby Wipes 56 ct $2.79
00037000805147 Similac Advance Infant Formula Similac Baby Nutrition 12.4 oz $18.99

Insights and Analysis

a. Brand Distribution
Brand Product Count
Pampers 124
Huggies 95
Gerber 88
Johnson's 64
Similac 52

Insight: Pampers and Huggies dominated diaper SKUs, accounting for over 45% of total Baby department listings.

b. Price Range by Sub-Category
Sub-Department Avg. Price Range
Diapers $34.80 $9.99 – $59.99
Baby Food $3.10 $0.99 – $8.50
Skincare $6.70 $3.49 – $22.00
Formula $24.50 $14.99 – $42.99

Insight: Baby Formula was the highest-value subcategory, followed by Diapers.

c. Availability Trends

~92% of Baby Food SKUs were in stock

18% of premium diaper variants showed limited availability

Seasonal restocks observed during holidays (data from 3-month tracking)

Infographic (Suggested for Blog Visual)

Introduction

Impact of the Project

  • Delivered a clean dataset of 2,300+ SKUs across 25 Baby brands.
  • Enabled dynamic tracking for price fluctuations and stock availability.
  • Helped a retail analytics partner build a brand-share dashboard.
  • Cut manual data collection time by 92%.

Ethical and Compliance Practices

  • Scraping limited to public-facing product data.
  • Rate-limiting to respect site performance.
  • Data used only for market intelligence and analysis.
  • Fully aligned with Actowiz Solutions' Responsible Data Policy.

Tools & Technologies

Function Tool
Automation Selenium, Playwright
Parsing BeautifulSoup, lxml
Data Storage MySQL, MongoDB
Export CSV, JSON, Excel
Visualization Power BI, Tableau
Proxy Management Rotating residential proxies

Business Outcome

The client, a retail analytics firm, used Actowiz Solutions' dataset to:

  • Benchmark Kroger's Baby department pricing against Target and Walmart
  • Identify brands with frequent stockouts
  • Feed predictive models for restocking and price forecasting

Result:

  • 35% improvement in forecasting accuracy
  • 22% faster promotional response times
  • ROI achieved within 6 weeks of project deployment
Contact Actowiz Solutions today to schedule a free demo or request a sample Baby Department dataset.
Contact Us Today!

Conclusion

This Kroger.com Baby Department case study highlights how structured data scraping can unlock actionable intelligence for retail analysts and brands. With the right automation strategy, brands can monitor prices, identify supply gaps, and analyze category trends at SKU level — all while staying compliant.

Actowiz Solutions continues to empower global retailers and CPG companies with custom web scraping tools, browser extensions, and real-time data APIs — turning complex retail data into clear insights.

From Raw Data to Real-Time Decisions

All in One Pipeline

Scrape Structure Analyze Visualize

Look Back Analyze historical data to discover patterns, anomalies, and shifts in customer behavior.

Find Insights Use AI to connect data points and uncover market changes. Meanwhile.

Move Forward Predict demand, price shifts, and future opportunities across geographies.

Industry:

Coffee / Beverage / D2C

Result

2x Faster

Smarter product targeting

★★★★★

“Actowiz Solutions has been instrumental in optimizing our data scraping processes. Their services have provided us with valuable insights into our customer preferences, helping us stay ahead of the competition.”

Operations Manager, Beanly Coffee

✓ Competitive insights from multiple platforms

Industry:

Real Estate

Result

2x Faster

Real-time RERA insights for 20+ states

★★★★★

“Actowiz Solutions provided exceptional RERA Website Data Scraping Solution Service across PAN India, ensuring we received accurate and up-to-date real estate data for our analysis.”

Data Analyst, Aditya Birla Group

✓ Boosted data acquisition speed by 3×

Industry:

Organic Grocery / FMCG

Result

Improved

competitive benchmarking

★★★★★

“With Actowiz Solutions' data scraping, we’ve gained a clear edge in tracking product availability and pricing across various platforms. Their service has been a key to improving our market intelligence.”

Product Manager, 24Mantra Organic

✓ Real-time SKU-level tracking

Industry:

Quick Commerce

Result

2x Faster

Inventory Decisions

★★★★★

“Actowiz Solutions has greatly helped us monitor product availability from top three Quick Commerce brands. Their real-time data and accurate insights have streamlined our inventory management and decision-making process. Highly recommended!”

Aarav Shah, Senior Data Analyst, Mensa Brands

✓ 28% product availability accuracy

✓ Reduced OOS by 34% in 3 weeks

Industry:

Quick Commerce

Result

3x Faster

improvement in operational efficiency

★★★★★

“Actowiz Solutions' data scraping services have helped streamline our processes and improve our operational efficiency. Their expertise has provided us with actionable data to enhance our market positioning.”

Business Development Lead,Organic Tattva

✓ Weekly competitor pricing feeds

Industry:

Beverage / D2C

Result

Faster

Trend Detection

★★★★★

“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

Boosted marketing responsiveness

Industry:

Quick Commerce

Result

Enhanced

stock tracking across SKUs

★★★★★

“Actowiz Solutions provided accurate Product Availability and Ranking Data Collection from 3 Quick Commerce Applications, improving our product visibility and stock management.”

Growth Analyst, TheBakersDozen.in

✓ Improved rank visibility of top products

Trusted by Industry Leaders Worldwide

Real results from real businesses using Actowiz Solutions

★★★★★
'Great value for the money. The expertise you get vs. what you pay makes this a no brainer"
Thomas Gallao
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
Product Image
2 min
★★★★★
“I strongly recommend Actowiz Solutions for their outstanding web scraping services. Their team delivered impeccable results with a nice price, ensuring data on time.”
Thomas Gallao
Iulen Ibanez
CEO / Datacy.es
Product Image
1 min
★★★★★
“Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing highly recommended!”
Thomas Gallao
Febbin Chacko
-Fin, Small Business Owner
Product Image
1 min

See Actowiz in Action – Real-Time Scraping Dashboard + Success Insights

Blinkit (Delhi NCR)

In Stock
₹524

Amazon USA

Price Drop + 12 min
in 6 hrs across Lel.6

Appzon AirPdos Pro

Price
Drop −12 thr

Zepto (Mumbai)

Improved inventory
visibility & planning

Monitor Prices, Availability & Trends -Live Across Regions

Actowiz's real-time scraping dashboard helps you monitor stock levels, delivery times, and price drops across Blinkit, Amazon: Zepto & more.

✔ Scraped Data: Price Insights Top-selling SKUs

Our Data Drives Impact - Real Client Stories

Blinkit | India (Retail Partner)

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

US Electronics Seller (Amazon - Walmart)

With hourly price monitoring, we aligned promotions with competitors, drove 17%

✔ Scraped Data, SKU availability, delivery time

Zepto Q Commerce Brand

"Actowiz's helped us reduce out of stock incidents by 23% within 6 weeks"

✔ Scraped Data, SKU availability, delivery time

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