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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.

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50+ Countries Served
20+ Industries
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Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
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Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
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Real-time and batch data scraping at massive scale, across industries globally.
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Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

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