# How to Vibe Code Your Own Apify (and Stop Paying for It)

> Cloud platform and marketplace for web scraping and browser automation

- Site: https://apify.com
- Category: Data Extraction & Scraping SaaS
- Verdict: **Don't bother** (12/100 vibecodeable)
- Estimated effort: 6+ months of full-time work for a personal subset

## Verdict

Build a simple scraper runner for personal workflows, but do not attempt to clone the marketplace or anti-blocking proxy infrastructure.

Replicating Apify's core value as a functional business is impossible for a solo developer because its moat relies on 55,000 community-maintained scrapers and an industrial-grade proxy network capable of evading Cloudflare and Akamai. While you can write a local script using Crawlee to scrape web pages, building a multi-tenant serverless container orchestration platform with proxy rotation and enterprise anti-bot evasion is a multi-year engineering undertaking.

### What you can't replicate

- The catalog of 55,000+ pre-built community scrapers for protected platforms like Instagram and LinkedIn
- Enterprise-grade residential proxy pool of millions of rotating IPs
- SOC2 compliance and trusted enterprise security standing

## What it does

Full-stack cloud platform for running serverless web scraping tasks, renting pre-built scrapers, rotating proxies, and feeding real-time data to AI agents.

### Core features

- Marketplace for discovering and renting pre-built web scraping Actors
- Serverless execution environment for running Node.js and Python scripts
- Key-value store, dataset storage, and request queue abstractions
- Proxy management and rotation system
- Scheduled runs and automated monitoring dashboard
- MCP (Model Context Protocol) server integration for AI agents

## The business

### Pricing

- Free: $0/mo
- Starter: $29/mo
- Scale: $199/mo
- Business: $999/mo

### Funding

$3M+ raised.
- Y Combinator Fellowship (2015)
- Seed Round
- €2.8M Institutional Investment Round
Investors: Y Combinator, J&T Ventures, Tensor Ventures

Founded 2015.
Team size: 50-100+.

## The hard parts

- Anti-blocking infrastructure (bypassing Cloudflare, Akamai, and TLS fingerprinting with residential proxy pools)
- Secure multi-tenant container isolation and resource management for arbitrary user code
- Constant maintenance burden to patch scrapers when target websites change DOM structures
- High-throughput asynchronous data stream storage scaling to petabytes

## How to vibe code Apify

### Prerequisites

- Node.js (free): Required for running Crawlee and building the backend control plane
- GitHub (free): Source code hosting and deployment triggers

### Recommended AI tools

- Claude Code: Best-in-class agentic coding tool for scaffolding full-stack codebases and managing complex multi-file logic

### Stack

- Frontend: Next.js with Tailwind CSS
- Backend: Next.js API routes with Crawlee and Node.js worker processes
- Database: Turso (SQLite at the edge)
- Auth: better-auth
- Payments: Stripe
- Other: Crawlee, Docker

### Hosting

- Vercel (Hosting the Next.js dashboard and control plane frontend): $0/mo
- Fly.io (Running long-lived serverless scraping workers and containerized Crawlee tasks): $5/mo

### Build guide

1. **Project Scaffolding & Database Schema** — Initialize the Next.js project with Tailwind CSS and configure Turso database tables for users, actors, runs, and datasets.

```
Scaffold a new Next.js 16 project using TypeScript and Tailwind CSS v4. Set up Drizzle ORM connected to a Turso SQLite database. Define tables for users, actors (id, name, scriptCode, authorId), actor_runs (id, actorId, status, startedAt, finishedAt), and datasets (id, runId, jsonPayload). Create a clean dashboard layout with sidebar navigation for Actors, Runs, and Storage.
```

2. **Authentication System** — Implement self-hosted authentication using better-auth.

```
Integrate better-auth into the Next.js application supporting email and password sign-in as well as GitHub OAuth. Set up protected API routes and middleware to secure user sessions and ensure actors and datasets are isolated per user.
```

3. **Actor Code Editor & Storage** — Build an interface for editing actor scripts and managing key-value stores and datasets.

```
Build an Actor detail page with an embedded code editor textarea for JavaScript/Python scripts. Implement backend endpoints to store input schemas and output datasets in the database. Provide JSON export utilities and a run history log viewer.
```

4. **Serverless Worker Execution Engine** — Create a backend worker service using Crawlee and Docker to execute scraping scripts in isolated environments.

```
Build a Node.js worker service using Fly.io and Docker that listens to a job queue. The worker should dynamically write user-submitted code using Crawlee, execute it in a sandboxed child process with memory and timeout limits, and stream console logs and dataset items back to the main database.
```

5. **Dashboard Analytics & Run Monitoring** — Add monitoring charts and real-time execution status tracking for actor runs.

```
Build a monitoring dashboard showing daily run statuses, success/failure rates over the last 30 days, and performance metrics per run using charts. Add automated status badge indicators and polling/websocket updates for active runs.
```

### Cost vs paying

**Starting costs (one-time):**

- AI Coding Assistant (Claude Code / Cursor): $20
- Total: $20 one-time

**Ongoing costs (monthly):**

- Fly.io Worker Compute: $5/mo
- Turso & Vercel: $0/mo
- Total: ~$5/mo

- Paying for the SaaS instead: $29/mo (Starter)
- Build time: 80+ hours
- AI tool credits: $20
- Break-even: Not applicable — proxy and maintenance overhead makes commercial competition impossible

## Sources

- [Apify Homepage](https://apify.com)
- [Apify Pricing Page](https://apify.com/pricing)
- [Apify About Page](https://apify.com/about)