PageBolt vs. Apify: When You Need a Capture API, Not a Scraping Platform

Apify is a serious piece of infrastructure. It runs actors, manages proxies, schedules crawlers, and stores datasets. If you're building a large-scale scraping operation, it's a coherent platform for the whole job.

Most developers who land on Apify aren't building that. They need to take screenshots, record a browser session, or generate a PDF — and Apify is several layers of abstraction past what that requires.

What Apify is built for

Apify's core model is the actor: a containerized script that runs on their infrastructure, scrapes data, and stores the result in their dataset storage. You deploy code, they run it at scale. That's genuinely useful for crawling thousands of pages, extracting structured data, or running complex multi-step scraping workflows.

The overhead that comes with it — actor packaging, Apify SDK, dataset/key-value store configuration, the Apify Console — is worth it when you're operating at that scale or need those primitives.

What PageBolt is built for

PageBolt is 8 endpoints and one API key:

POST /api/v1/screenshot — capture any URL or HTML as PNG/JPEG/WebP
POST /api/v1/video — record a narrated browser session as MP4 or GIF
POST /api/v1/pdf — convert a URL or HTML to PDF
POST /api/v1/og-image — generate social card images
POST /api/v1/sequence — multi-step browser automation with screenshot outputs
POST /api/v1/inspect — get a structured element map with CSS selectors
POST /api/v1/video/convert — convert video to GIF
GET /api/v1/devices — list device presets for viewport emulation

That's the whole surface area. You call the endpoint, you get the file back. No actors, no datasets, no platform configuration.

const res = await fetch('https://pagebolt.dev/api/v1/screenshot', {
  method: 'POST',
  headers: { 'x-api-key': process.env.PAGEBOLT_API_KEY, 'Content-Type': 'application/json' },
  body: JSON.stringify({ url: 'https://example.com', fullPage: true, blockBanners: true })
});
fs.writeFileSync('screenshot.png', Buffer.from(await res.arrayBuffer()));

That's the whole integration.

The video recording difference

This is where the tools genuinely diverge. PageBolt records narrated browser sessions with AI voice:

const res = await fetch('https://pagebolt.dev/api/v1/video', {
  method: 'POST',
  headers: { 'x-api-key': process.env.PAGEBOLT_API_KEY, 'Content-Type': 'application/json' },
  body: JSON.stringify({
    steps: [
      { action: 'navigate', url: 'https://yourapp.com', note: 'Open the app' },
      { action: 'click', selector: '#get-started', note: 'Click to begin' }
    ],
    audioGuide: {
      enabled: true,
      voice: 'nova',
      script: "Here's a quick look at the app. {{1}} One click to get started. {{2}}"
    },
    frame: { enabled: true, style: 'macos' },
    pace: 'slow'
  })
});
fs.writeFileSync('demo.mp4', Buffer.from(await res.arrayBuffer()));

This isn't screen capture — it's a choreographed browser recording with synchronized AI narration. Apify has no equivalent.

MCP integration

PageBolt ships an MCP server (pagebolt-mcp on npm) that works with Claude Desktop, Cursor, and Windsurf. Your AI assistant can take screenshots, record videos, generate PDFs, and inspect pages without leaving the chat.

{
  "mcpServers": {
    "pagebolt": {
      "command": "npx",
      "args": ["-y", "pagebolt-mcp"],
      "env": { "PAGEBOLT_API_KEY": "YOUR_KEY" }
    }
  }
}

Apify has no native MCP integration.

When to use which

Need	Use
Screenshot a URL	PageBolt
Generate a PDF from HTML	PageBolt
Record a narrated demo video	PageBolt
AI assistant with web capture tools	PageBolt (via MCP)
Crawl 10,000 pages and store structured data	Apify
Complex actor-based scraping workflows	Apify
Dataset storage and scheduled crawl jobs	Apify

If your task is "get a visual output from a URL" — screenshot, video, PDF, OG image — PageBolt is the right scope. If your task is "run a large-scale scraping pipeline," Apify has the infrastructure for it.