CASE STUDIES

The number the client
took to their boss.

// WHAT'S ON THIS PAGE

Nine anonymized engagements across quick commerce, food delivery, marketplaces, AI products, travel and alternative data — each with the problem as the client described it, what we built, and the measurable outcome. Every project here started the same way: a free sample dataset delivered within 48 hours, an NDA, and a pilot before any recurring commitment.

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Brief → live feed
EIGHT ENGAGEMENTS

Success Stories & Case Studies

Explore real-world case studies showcasing how our data scraping solutions deliver actionable insights, operational efficiency, measurable growth, and business success.

Quick Commerce · India

Quick-commerce pricing captured three times a day

THE PROBLEM

Quick-commerce apps re-price through the day and by pincode — a single daily snapshot misses the intraday moves that decide who wins the basket. The client needed to see prices as shoppers actually saw them, not as a once-a-day average.

WHAT WE BUILT

3× dailyrefresh across 5 platforms
Blinkit · Zepto · Instamart · BigBasket · Flipkart
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Reviews Intelligence · India

Review data across six e-commerce and q-commerce platforms

THE PROBLEM

Customer sentiment was fragmented across marketplaces, beauty specialists and quick-commerce apps — with no single view of what shoppers were actually saying about products across the channels that mattered.

WHAT WE BUILT

6platforms in one review feed
Flipkart · Nykaa · Purplle · BigBasket · Blinkit
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Home & Furniture · USA

SKU-level tracking across a Wayfair catalogue

THE PROBLEM

The client needed continuous visibility on a defined competitive set on Wayfair — prices, specs and availability at SKU level — rather than a broad category sweep that would bury the products they actually cared about.

WHAT WE BUILT

114SKUs tracked on Wayfair
SKU-matched · price, specs, availability
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Real Estate · USA

A property data API across three US portals

THE PROBLEM

The client's product needed live property data from multiple US listing portals — but each portal structures listings differently, and a product can't consume three incompatible schemas.

WHAT WE BUILT

APIdelivery across 3 portals
LoopNet · Redfin · Apartments · normalized schema
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News & Media · USA

Daily news and article collection from 24 sources

THE PROBLEM

Monitoring a fragmented media landscape by hand doesn't scale — and 24 different sites means 24 different layouts, each of which breaks on its own schedule.

WHAT WE BUILT

24sources · daily refresh
clean article text · 24/7 monitored
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Cross-Border Commerce · Germany

Brand-store monitoring on Taobao from Germany

THE PROBLEM

A Germany-based client needed visibility into how specific confectionery brand stores were operating on Taobao — a platform structured very differently from Western marketplaces, and inaccessible to conventional tooling.

WHAT WE BUILT

Taobaobrand-store level collection
cross-border · China marketplace
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NINE ENGAGEMENTS

Problem. Build. Outcome.

No dashboards-for-the-sake-of-dashboards — each study names the decision the data changed and the metric that moved.

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Live Price Alert Data Scraping for Australian Apps: Real-Time Coles & Woolworths Price Intelligence

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Scrape Co-op Grocery Pricing and Inventory Data to Improve Competitive Market Visibility

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Rakuten E-Commerce Data Extraction in Japan Transforming Marketplace Data into Actionable Retail Intelligence

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Bolt Ride-Hailing Data Scraping Transforming Mobility Data into Real-Time Transportation Intelligence

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Traveloka Hotel & Flight Data Extraction Driving Real-Time Travel Market Intelligence and Analytics

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LoopNet Real Estate Data Extraction for Commercial Property Intelligence and Market Opportunity Analysis

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FAQ

What buyers ask
after reading these.

Every feed ships with a monthly accuracy audit: we sample records against the live source, score field-level accuracy (target 99%+), and report coverage — what percentage of the target catalog or geography the feed actually captured. Clients see the audit, not just the claim.

Most engagements run under NDA, so case studies are anonymized by industry and role. On qualified sales calls we can arrange reference conversations with existing clients in your category, subject to their approval.

The data itself is live in under two weeks. Business outcomes follow the decision cycle it feeds: pricing teams typically act within the first month, while share-of-search and alternative-data results compound over one to two quarters.

Engagements in these case studies ranged from roughly $800/month (single-platform availability tracking) to five figures monthly (multi-country panels for funds). Pricing scales with platforms, volume and refresh frequency — we quote after a free requirement call and sample.

Get a free sample dataset in 48 hours.