Scrapifie
A managed web data platform that gives engineering teams one API for browser rendering, proxy rotation, job processing, and extraction monitoring.
TypeScript · Playwright · Puppeteer Extra · BullMQ · Redis · OpenTelemetry · Sentry · Prometheus · TOTP 2FA · Express · PostgreSQL
Live Platform
01 Product overview
What the product does
Scrapifie is a web scraping infrastructure platform built for engineers who need reliable, undetectable data extraction at scale. The platform provides API keys that give users access to enterprise-grade scraping capabilities including TLS fingerprinting, browser fingerprint generation and injection, CAPTCHA solving, residential proxy rotation, stealth browser automation, honeypot detection and avoidance, and anti-bot bypass. Jobs are processed through a distributed queue system with full observability.
02 Problem and context
What it needed to solve
Modern websites deploy increasingly sophisticated anti-bot measures: TLS fingerprint analysis, behavioral fingerprinting, CAPTCHA walls, honeypot traps, and IP reputation systems. Building and maintaining scraping infrastructure that can reliably bypass these defenses requires deep expertise in browser internals, network protocols, and anti-detection techniques. Scrapifie packages this expertise into an API that any developer can use.
03 My contribution
What I worked on
- Designed the anti-detection engine with fingerprint generation, injection, and stealth browser automation
- Built the distributed job queue system with BullMQ and Redis for reliable, scalable job processing
- Implemented full observability stack with OpenTelemetry, Sentry, and Prometheus
- Built the credit and subscription billing system with abuse detection and budget controls
- Developed TOTP two-factor authentication for account security
05 Engineering and outcomes
Implementation details
System
- TypeScript across the entire stack for type safety from API to scraping engine
- Playwright-based scraping engine with fingerprint-generator and fingerprint-injector for anti-detection
- Puppeteer Extra with stealth plugin for supplementary scraping modes
- BullMQ distributed job queue backed by Redis for reliable, scalable job processing
- OpenTelemetry instrumentation with Sentry error tracking and Prometheus metrics for full observability
- TOTP two-factor authentication for secure API key management
- Credit-based billing system with subscription tiers, abuse detection, and per-job budget controls
- Residential proxy rotation with IP reputation management
Verified results
- Anti-Detection EngineTLS fingerprinting, browser fingerprint injection, stealth automation, and honeypot avoidance that bypasses modern bot detection systems.
- Distributed ProcessingBullMQ job queue with Redis backing for reliable, horizontally scalable scraping job execution.
- Full ObservabilityOpenTelemetry, Sentry, and Prometheus providing end-to-end visibility into job execution, errors, and system performance.
Lessons
- Anti-detection is an arms race. What works today may not work in three months. The architecture must make detection bypass modules replaceable.
- Job queue reliability is non-negotiable. Lost jobs mean lost customer trust. BullMQ with Redis provides the durability guarantees this requires.
- Abuse detection is harder than it sounds. Legitimate high-volume usage looks identical to abuse without careful heuristic design.