NeuraForge
Case StudyDEMO DATA

E-commerce Scraper API

Automated competitor price monitoring across 50+ sites with intelligent deduplication.

Industry

E-commerce Analytics (demo)

Timeline

2 weeks

Stack

Python, FastAPI, Playwright, Docker, Redis, PostgreSQL

Role

Backend Development + DevOps + API Design

Problem

Growth team needed competitor price monitoring across 50+ e-commerce sites with deduplication, price-change alerts, and structured data export. Manual monitoring was taking 20+ hours weekly and missing critical price drops that affected competitive positioning.

Approach

Built rotating proxy pool with Playwright for JavaScript-heavy sites. Implemented smart rate limiting, duplicate detection via content hashing, and real-time price-change webhooks. Containerized entire system with Redis caching for performance and horizontal scaling capability.

Results

⚠️ Demo data for portfolio purposes
94%
scraping success rate across all target sites
Zero
IP blocks in 30 days of continuous operation
40%
faster price update cycles vs manual monitoring
85%
reduction in competitive analysis time

Key Features

1

Target site configuration dashboard with success rate monitoring

2

Real-time scraping status with proxy rotation visualization

3

Price history charts with automated alert trigger configuration

4

API documentation with structured output examples and rate limits

5

Export scheduler with multiple format options and webhook integrations

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