Core services
Enterprise Data Extraction

Scalable web, app and AI-powered collection across 40+ countries.

All 58 services →
New 2026
AI Training Data

Corpus building with provenance and opt-out compliance.

Learn more →
Free pilot
24-hour sample

We run collection on your own sources before you commit.

Get a sample →
58Services
40+Countries
DEVELOPER

Ready-Made Scrapers

Pre-built for top platforms. Self-serve, no setup.

View All →
TRY FREE

API Playground

Test endpoints instantly. No credit card.

Start Free →
28Tools
2SDKs
icons Delivery & SDKs
Streaming Crawl API Scheduler Realtime Alerts Webhook Delivery 🐍 Python SDK 💚 Node.js SDK
Need it managed instead?

Fixed monthly retainer, named engineer, no per-request metering.

Managed Data API →
HOT

Case Studies

How brands use Actowiz, with named outcomes.

Read →
FREE

Sample Datasets

Real output, no signup.

Download →
NEW

ROI Calculator

Model the return on a data engagement.

Calculate →

A pet-care brand needing ₹/kg price comparison and assortment-depth mapping across q-commerce — premium versus mass brands.

Industry
Pet Care • Pet Food
Comparison
India
Engagement
Premium vs mass
Premium vs Mass
Positioning
₹/kg
Normalized Value
Assortment
Depth
Q-Commerce
Coverage

Key Takeaways

Actowiz normalized pet-food pricing to ₹ per kilogram and mapped assortment depth across q-commerce, comparing premium against mass-market brands on both value and range. Because pet food sells in widely varying pack sizes, only ₹/kg reveals true value; every SKU was normalized accordingly, tagged premium or mass, and counted for assortment depth per brand. The result was a clear view of how premium and mass brands competed on price-per-kg and catalogue breadth across platforms, refreshed on a recurring cadence.

What did the client need?

The client is a pet-care brand needing to compare pet-food value and range across q-commerce. Pack prices are not comparable across pack sizes, so value had to be read in ₹/kg, and range in assortment depth — with premium and mass brands compared distinctly.

Actowiz normalized every SKU to ₹/kg, tagged premium vs mass, and counted assortment depth per brand across platforms.

What made this hard?

  • Pack-size variance. Pet food spans small pouches to large bags, needing ₹/kg normalization.
  • Premium vs mass tagging. Brands classified into tiers for the core comparison.
  • Assortment depth. SKU/variant counts computed comparably per brand.
  • Dog/cat + type splits. Species and food type (dry/wet) needed clean attribution.
  • Cross-platform. Uniform capture across q-commerce.

How did Actowiz solve it?

Actowiz built a pet-food pricing and assortment pipeline with ₹/kg normalization and tier tagging.

Approach
  • ₹/kg normalization. Every SKU converted to price-per-kg.
  • Tier tagging. Brands classified premium vs mass.
  • Assortment depth. SKU/variant counts per brand.
  • Species/type splits. Dog/cat and dry/wet attributed.
  • Cross-platform capture. Uniform capture across q-commerce.
Data Attributes Extracted
Attribute Description
Brand Pet-food brand
Tier Premium or mass
Species / Type Dog/cat, dry/wet
SKU / Pack Size Product and weight
Price / ₹ per kg Listed price and ₹/kg
Assortment Depth SKU count per brand
Platform / Date Source and cycle

What were the results?

  • Value comparison. ₹/kg exposed real value across premium and mass.
  • Range comparison. Assortment depth per brand and tier.
  • Tier positioning. Where the client sat on value and range.
  • Category decisions. Evidence for pricing and range strategy.

Project at a Glance

Metric Value
Industry Pet Care • Pet Food
Region India
Comparison Premium vs mass
Metrics ₹/kg + assortment depth
Splits Dog/cat, dry/wet
Cadence Recurring
Output Value + assortment dataset

Client Feedback

"Once Actowiz put pet food in ₹ per kg and mapped range side by side, we finally saw how the premium and mass brands really competed — on value and on shelf breadth, not just pack price."

— Category Manager, Pet Care

Frequently Asked Questions

Q: Why normalize pet food to ₹/kg?

A: Pack sizes vary widely, so pack price hides value; ₹/kg makes brands comparable on true value.

Q: How are premium and mass compared?

A: Each brand is tagged premium or mass, then compared on ₹/kg and assortment depth.

Q: What is assortment depth?

A: The number of SKUs/variants a brand fields, indicating catalogue breadth per platform.

Q: Are dog and cat food separated?

A: Yes — species and food type (dry/wet) are attributed cleanly.

Q: How often is it refreshed?

A: On a recurring cadence for ongoing tracking.

Need pet-food value & assortment intelligence?

Actowiz Solutions builds ₹/kg-normalized pricing and assortment datasets with rigorous QA. Visit actowizsolutions.com to discuss your data requirement.

Social Proof That Converts

Trusted by Global Leaders Across Q-Commerce, Travel, Retail, and FoodTech

Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

4,000+ Enterprises Worldwide
50+ Countries Served
20+ Industries
Join 4,000+ companies growing with Actowiz →
Real Results from Real Clients

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

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!"
TG
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
2 min
★★★★★
"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."
II
Iulen Ibanez
CEO / Datacy.es
1:30
★★★★★
"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."
FC
Febbin Chacko
-Fin, Small Business Owner
icons 4.8/5 Average Rating
icons 50+ Video Testimonials
icons 92% Client Retention
icons 50+ Countries Served

Join 4,000+ Companies Growing with Actowiz

From Zomato to Expedia — see why global leaders trust us with their data.

Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

icons
7+
Years of Experience
Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
icons
4,000+
Projects Delivered
Serving startups to Fortune 500 companies across 50+ countries worldwide.
icons
200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
icons
9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
icons
270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
icons
380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
icons Product Matching icons Attribute Tagging icons Content Optimization icons Sentiment Analysis icons Prompt-Based Reporting

Connect the Dots Across
Your Retail Ecosystem

We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

icons
Analytics Services
icons
Ad Tech
icons
Price Optimization
icons
Business Consulting
icons
System Integration
icons
Market Research
Become a Partner →

Popular Datasets — Ready to Download

Browse All Datasets →
icons
Amazon
eCommerce
Free 100 rows
icons
Zillow
Real Estate
Free 100 rows
icons
DoorDash
Food Delivery
Free 100 rows
icons
Walmart
Retail
Free 100 rows
icons
Booking.com
Travel
Free 100 rows
icons
Indeed
Jobs
Free 100 rows

Latest Insights & Resources

View All Resources →
thumb
Blog

How the US Grocery Price Inflation Tracker 2026 Helps Retailers Manage Rising Food Costs and Pricing Decisions

Track the US Grocery Price Inflation Tracker 2026 to monitor food price trends, category changes, and inflation insights for smarter decisions.

thumb
Case Study

How We Helped a Food Delivery Brand Solve Market Data Challenges with a POC for Food Delivery in India, Australia & Malyasia

Discover how a POC for Food Delivery in India, Australia & Malyasia helps brands validate pricing, menus, competitors, and delivery market insights.

thumb
Report

Zomato Restaurant & Menu Data Intelligence Report 2026

Zomato Restaurant & Menu Data Intelligence Report 2026 reveals restaurant, menu, pricing, ratings, and food delivery trends for smarter decisions.

Start Where It Makes Sense for You

Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

icons
Enterprise
Book a Strategy Call
Custom solutions, dedicated support, volume pricing for large-scale needs.
icons
Growing Brand
Get Free Sample Data
Try before you buy — 500 rows of real data, delivered in 2 hours. No strings.
icons
Just Exploring
View Plans & Pricing
Transparent plans from $500/mo. Find the right fit for your budget and scale.

Request Free Sample Data

Our team will reach out within 2 hours with 500 rows of real data — no credit card required.

+1
Free 500-row sample · No credit card · Response within 2 hours