Kristian Hans Onjala Full-Stack Engineer / Cofounder / STEM Mentor
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Scrapifie

Enterprise web scraping platform with TLS fingerprinting, CAPTCHA solving, residential proxy rotation, headless stealth browsers, honeypot avoidance, and bot bypass. API key access for scraping the web without getting blocked.

  • Full-Stack
  • SaaS
  • Infrastructure
  • Security
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Tech Stack

TypeScript Playwright P Puppeteer Extra B BullMQ Redis O OpenTelemetry Sentry P Prometheus T TOTP 2FA Express PostgreSQL

Build Highlights

  • 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

Overview

Project overview

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.

Problem

What it solves

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.

Build

Implementation details

What I worked on

  • Lead Engineer and Architect
  • 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

Technical implementation

  1. 01

    TypeScript across the entire stack for type safety from API to scraping engine

  2. 02

    Playwright-based scraping engine with fingerprint-generator and fingerprint-injector for anti-detection

  3. 03

    Puppeteer Extra with stealth plugin for supplementary scraping modes

  4. 04

    BullMQ distributed job queue backed by Redis for reliable, scalable job processing

  5. 05

    OpenTelemetry instrumentation with Sentry error tracking and Prometheus metrics for full observability

  6. 06

    TOTP two-factor authentication for secure API key management

  7. 07

    Credit-based billing system with subscription tiers, abuse detection, and per-job budget controls

  8. 08

    Residential proxy rotation with IP reputation management

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