CASE STUDIES

The number the client
took to their boss.

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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.

Location Data · USA

Full store-network extraction from a US retailer

THE PROBLEM

The client needed the complete store footprint of a major US warehouse retailer as a one-time dataset — accurate, structured and delivered fast, without committing to an ongoing subscription for data they needed once.

WHAT WE BUILT

One-offfull store network, geocoded
addresses · coordinates · map-ready
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Social & Research Data · Israel

Public social-platform data delivered as an API

THE PROBLEM

A research client needed public post data from an alternative social platform — the kind of source that supports trust-and-safety and academic research, but which offers no usable data access of its own.

WHAT WE BUILT

APIdelivery for research use
public data only · PII-scrubbed
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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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Amazon Apparel Data Scraping: How Cuts Clothing Wins on Premium Basics

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Amazon Beverage Price Monitoring: How Liquid Death Wins on Premium Pricing

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Amazon Glassware Data Scraping: How Bormioli Rocco Became a Marketplace Leader

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LilyAna Naturals Product Data Scraping: How a Focused Skincare Portfolio Scaled on Amazon

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Jones Road Beauty Data Scraping in Action: How a Focused Catalog Built a Near-Billion-Dollar Brand

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Saudi Grocery App Live Price Data Scraping Across Lulu, Panda & Tamimi

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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.