[ Case Study ]
eBay Market Signals
Scalable insights for eBay arbitrage advantage.
May 23, 2025
Sanket and Yuriy
[ Overview ]
eBay isn’t just an e-commerce site, it’s a dynamic global marketplace where pricing, competition, and demand shift by the minute. Sellers relying on instinct fall behind. We built Indications, a full-scale intelligence system that tracks live trends, detects emerging competition, and reveals untapped opportunities, helping brands, power sellers, and investors act with data-driven precision.
[ Client ]
Internal Product - Algorithmic
[ Sector ]
E-commerce Intelligence, Marketplace Analytics, Competitive Strategy
[ Platforms ]
Web App, API Access
[ Budget ]
Confidential
[ Timeline ]
Ongoing
[ Launch ]
June 2025
The Challenge
Millions of listings. Constant price changes. No clear advantage.
For eBay sellers, staying competitive is tough. The platform evolves constantly - search rankings shift hourly, competitors tweak prices mid-day, and product listings vary wildly in format and quality. APIs offer limited access. eBay’s anti-bot systems block most external scrapers.
For power sellers and brands, the result was the same: opportunity blindness. They couldn’t track trends, monitor competitors, or optimise pricing - at least, not in real time.
Sellers needed a way to:
Track live search ranks, pricing, and stock
Understand competitor portfolios and sales velocity
Avoid being blocked or detected
Turn raw listing data into insights
That’s where Indications comes in.
Below is our brief value proposition video
Our Approach
We built Indications, a stealth-grade, high-scale eBay intelligence platform.
It does three things exceptionally well:
Extracts market data at scale - listings, ranks, prices, stock, and sales
Structures and cleans it - using AI to normalise messy attributes
Delivers insights in real time - through dashboards, alerts, and reports
The platform was designed to stay invisible to detection systems, scale with demand, and offer sellers a crystal-clear view of their market - instantly.
What We Delivered
Stealth Scraping Infrastructure
Tiered scraping across search, product, and storefront views
Real-time tracking of ranks, pricing, and inventory
Automated crawling with session-aware IP rotation
Proxy blending, fingerprint spoofing, and anti-captcha
Smart Parsing & Normalisation
Attribute alignment across inconsistent listings
Detection of fast-moving SKUs and price changes
Cross-seller product mapping for apples-to-apples comparison
Seller Enablement Tools
Alerts for pricing shifts, rank drops, and competitor activity
SKU performance scoring and margin insights
Category trend detection and early-mover signals
Portfolio optimisation recommendations
User Experience That Works
Responsive, mobile-friendly dashboards
Clean UI designed in Figma
Embedded API access for advanced users
Seamless frontend in Webflow and React
Growth Strategy
We didn’t just build a tool - we scaled an ecosystem. To help Indications reach power sellers, we launched a multi-channel go-to-market strategy:
SEO content targeting seller search intent
Email campaigns powered by real eBay data
Ad retargeting tied to live demos
YouTube partnerships with eBay sellers and consultants
Tech Stack Overview
Backend: Python, Scrapy, PostgreSQL, Redis, Airflow
Anti-bot stack: ISP/residential proxies, spoofing, ML-based captcha solving
Frontend: React, Webflow, Figma
Growth: Google Ads, HubSpot, Email automation
The Impact
From Guesswork to Command.
Sellers using Indications report:
Double-digit ROI via smarter pricing and SKU strategy
Faster time-to-insight - from weeks to seconds
90-day trend reports by product and seller
Real-time decision making - no more guesswork or lag
Indications helped eBay sellers do what they couldn't before:
See the market clearly.
React to it instantly.
Win more often.
