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Navratri Mega Sale Price Tracking

introduction

4.2 Million+

Data points extracted monthly

77 Websites

Fully automated crawling & monitoring

500+

Custom data fields captured and normalized

Plan

Enterprise Premium – Data-as-a-Service (DaaS)

Industry

E-commerce, Marketplaces, Aggregators, Retail Intelligence

Our Client

Navratri Mega Sale Price Tracking

A global data analytics company serving Fortune 100 retailers and consumer brands.

They operate across 20+ countries and rely heavily on cross-website data for:

  • pricing insights
  • assortment benchmarking
  • reviews and ratings
  • category mapping
  • stock movement trends
  • seller intelligence

Their internal team needed one unified data feed that consistently delivers structured information from dozens of unrelated websites — each with different layouts, technologies, and anti-bot measures.

The Challenge

Before partnering with Actowiz Solutions, the client faced major roadblocks:

1. 77 websites meant 77 different problems

Each site had:

  • distinct HTML structures
  • dynamic JS rendering
  • geo-restricted content
  • bot detection policies
  • rate limits
  • inconsistent schemas

Maintaining scrapers across so many platforms became unmanageable.

2. Previous vendors couldn’t scale

The client worked with multiple scraping providers, but:

  • data quality varied
  • error rates were high
  • re-runs took days
  • support was slow
  • no unified monitoring layer existed

They still had to manually clean, merge, and validate datasets.

3. Internal teams were overwhelmed

Their analysts were spending more time fixing data than analyzing it.

4. No normalized schema across websites

Fields like:

  • price
  • discount
  • title
  • seller
  • attributes

appeared in inconsistent formats across different platforms.

This made downstream analytics extremely difficult.

The Solution

Actowiz Solutions built a Multi-Platform Data-as-a-Service (DaaS) framework tailored for the client’s exact workflow.

1. Complete coverage across 77 platforms

We automated data extraction across:

  • global e-commerce sites
  • niche category-specific portals
  • marketplaces
  • review platforms
  • aggregators
  • travel & service listing sites

Each one mapped to a unified, flexible schema.

2. Enterprise-grade infrastructure

The Actowiz DaaS engine included:

  • rotating residential proxies
  • browser fingerprinting
  • distributed crawlers
  • load-balanced task queues
  • automatic retry workflows
  • site-change detectors

This ensured 99.2% extraction reliability, even on websites with heavy anti-bot systems.

3. Deeply customized extraction logic

For each platform, Actowiz implemented:

  • category-based crawling
  • dynamic filters
  • historical logics
  • pagination handling
  • JS-rendered data capture
  • structured JSON parsing

Different websites → one consistent pipeline.

4. Unified data format across all 77 websites

Regardless of source, outputs followed a normalized structure with 500+ possible data fields, including:

  • product metadata
  • seller info
  • prices (MRP, SP, discount %)
  • variant mapping
  • availability flags
  • ratings & reviews
  • specifications
  • SEO rankings
  • category hierarchy
5. Real-time visibility and dashboards

Clients received:

  • API access
  • webhooks
  • scheduled feeds
  • QC dashboards
  • issue-alerting system

All designed to keep the client’s analytics team fully in control.

The Impact

The transformation was immediate and measurable.

1. Data delivery accelerated dramatically

What previously took weeks now updated:

  • hourly
  • daily
  • or weekly (depending on feed)
2. Internal productivity skyrocketed

Analysts now focus on insights — not cleaning or fixing data.

3. Data quality improved across all websites

The client reported:

  • 93% reduction in errors
  • 87% lower manual intervention
  • 100% consistent schema across sources
4. A single vendor replaced multiple providers

This reduced:

  • cost
  • operational complexity
  • communication overhead
  • dependency risks
5. Increased business agility

The client now launches:

  • new pricing models
  • competitor benchmarking
  • assortment studies
  • growth dashboards

four times faster than before, thanks to Actowiz’s unified data feeds.

6. They scaled up globally

With our infrastructure, the client expanded coverage to:

  • USA
  • Europe
  • India
  • Middle East
  • Southeast Asia

with no downtime and no workflow changes.

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

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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."
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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
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icons 50+ Video Testimonials
icons 92% Client Retention
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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.

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