Unbrowse vs Apify: Actor-Based Scraping vs Route Caching

Apify built an impressive platform around a simple idea: web scraping tasks are reusable, so package them as "actors" and let people share them in a marketplace. It works. Thousands of pre-built actors handle everything from Amazon product scraping to Instagram profile extraction. But every actor still runs a browser or HTTP client under the hood, re-executing the same extraction logic on every request. Unbrowse takes the marketplace concept further: instead of sharing scraping scripts, it shares the discovered API routes themselves — eliminating the scraping step entirely.

TL;DR Comparison

Feature	Apify	Unbrowse
Approach	Actor-based scraping (reusable scraping scripts)	API-native — discovers and caches shadow API routes
Speed	3-30s per actor run (browser or HTTP)	Sub-100ms cached, ~3,400ms first pass
Token cost	N/A (returns structured data, but high compute)	Structured JSON, 40x fewer tokens than DOM
Auth handling	Per-actor implementation	Automatic browser cookie extraction + vault
Pricing	Freemium + compute-based pricing	Free tier + x402 micropayments per route
Marketplace	Actor Store (scraping scripts)	Route marketplace (API endpoints)
Best for	Complex scraping workflows, data pipelines	AI agents, real-time data, API-first resolution

What is Apify?

Apify is a web scraping and automation platform centered around the concept of actors — serverless functions that run on Apify's cloud infrastructure. Each actor is a self-contained scraping program: it takes inputs (URLs, search terms, configuration), runs a browser or HTTP client, extracts data, and returns structured results.

The Apify Store is a marketplace of community-built actors. Need to scrape Google Search results? There is an actor for that. Amazon product details? Instagram followers? TripAdvisor reviews? Actors exist for thousands of sites. Developers publish actors, users run them, and Apify handles the infrastructure.

Under the hood, Apify provides managed Playwright and Puppeteer environments, proxy rotation, request queuing, and data storage. Their SDK supports Node.js and Python. The platform integrates with common data tools — you can pipe scraped data to Google Sheets, Zapier, webhooks, or databases.

Apify has also moved into the AI agent space with their integrations for LangChain and other frameworks, recognizing that AI agents are a growing source of web data demand.

The platform is mature and well-engineered. But its fundamental model — run a scraper on every request — means every data retrieval pays the full extraction cost: browser launch, page load, DOM parsing, data transformation. The actor marketplace shares code, not results. Two users scraping the same Amazon product page at the same time run two separate browser sessions.

What is Unbrowse?

Unbrowse is an API-native agent browser that discovers the internal APIs (shadow APIs) behind websites and calls them directly, caching the routes for instant reuse.

The first time a site is accessed, Unbrowse runs a browser session using Kuri — a Zig-native CDP broker at 464KB with approximately 3ms cold start. During the session, it passively captures all API calls the page makes: REST endpoints, GraphQL queries, fetch requests, XHR calls. The enrichment pipeline reverse-engineers each endpoint's signature (URL template, headers, auth pattern, response schema) and stores them as route definitions.

On subsequent requests, Unbrowse resolves the intent to a cached route and makes a direct HTTP call. No browser, no scraper, no actor. The response arrives as structured JSON in sub-100ms. Across 94 domains, this yields 3.6x faster mean response times (5.4x median) compared to browser-based approaches.

The marketplace shares routes, not scripts. When one user discovers an API endpoint on a site, that route is published and available to every other user instantly. Contributors earn x402 micropayments per usage. The system gets faster and more comprehensive with every user — a true network effect that scraping marketplaces cannot replicate.

Key Differences

What Gets Shared: Scripts vs. Routes

This is the fundamental architectural difference. Apify's marketplace shares actors — code that knows how to scrape a specific site. Running an actor still requires compute: launching a browser, loading the page, executing the extraction logic. Every run costs time and money.

Unbrowse's marketplace shares route definitions — the actual API endpoints discovered behind websites. Using a route requires a single HTTP call. No browser, no parsing, no compute overhead. The marginal cost of serving a cached route is nearly zero.

Think of it this way: Apify shares the recipe. Unbrowse shares the cooked meal.

Execution Cost

Apify pricing is compute-based. Running an actor consumes "compute units" based on browser time, memory usage, and data transfer. A simple actor run might cost fractions of a cent; complex multi-page scraping jobs can cost dollars.

Unbrowse's first-pass discovery is free (Kuri runs locally). Subsequent resolutions cost x402 micropayments — fractions of a cent per API call. But critically, the cost does not scale with page complexity. A simple page and a complex SPA with dozens of API calls cost the same to resolve once cached: one HTTP call.

Real-Time Data

Apify actors are typically batch-oriented. You configure an actor, run it, wait for results. Even with scheduled runs, there is inherent latency — the actor needs to load the page and extract data. Real-time use cases require dedicated actor instances running continuously.

Unbrowse cached routes are real-time by nature. A cached API call returns fresh data from the source API in sub-100ms. The data is as fresh as what the website's own users see, because it comes from the same endpoint.

Maintenance Model

Apify actors break when websites change their HTML structure. Actor maintainers need to update selectors, handle new anti-bot measures, and adapt to redesigns. The Apify Store has many abandoned actors that stopped working after site changes.

Unbrowse routes are more resilient because they target APIs, not DOM structure. APIs change less frequently than frontends and are typically versioned. When an API does change, the next browser discovery pass automatically captures the new endpoint. Staleness detection in the marketplace flags routes that stop working.

AI Agent Integration

Apify has built LangChain and framework integrations, allowing AI agents to call actors as tools. This works, but each tool call still involves running a full actor — browser session, extraction, data return. The latency (3-30 seconds per call) limits the number of web interactions an agent can practically perform.

Unbrowse is agent-native from the ground up. It runs as an MCP server that any AI agent can call. The resolve endpoint accepts natural language intents and returns structured JSON. Sub-100ms response times mean an agent can make dozens of web lookups within a single reasoning step without meaningful latency.

Data Quality

Apify actors extract data by parsing HTML — the quality depends on the selector logic written by the actor developer. Different actors for the same site may return different schemas, with varying completeness.

Unbrowse returns the raw API response — the exact data the website's own frontend receives. There is no parsing layer to introduce errors or miss fields. The data schema matches what the site's own engineers defined.

Getting Started

Apify

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

// Run a pre-built actor from the Store
const run = await client.actor('apify/google-search-scraper').call({
    queries: 'best AI agent browser',
    maxPagesPerQuery: 1,
});

// Wait for results (typically 10-30 seconds)
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Unbrowse

# Install
npx unbrowse setup

# Resolve — no actor, no browser, no wait
npx unbrowse resolve "search results for best AI agent browser" --url "https://google.com"

Or via MCP:

{
  "tool": "unbrowse_resolve",
  "input": {
    "intent": "search results for best AI agent browser",
    "url": "https://google.com"
  }
}

When to Use Apify

Apify excels when you need complex, multi-step scraping workflows. Crawling an entire e-commerce catalog with pagination, following links across a site to build a dataset, or running scheduled scraping jobs that process hundreds of pages — Apify's infrastructure and actor model handle this well.

Apify is also strong when you need specific data transformations as part of the extraction. Actors can clean, normalize, and enrich data before returning it. If your data pipeline requires heavy post-processing, Apify's built-in capabilities save integration work.

If you are a non-technical user who needs web data occasionally, Apify's pre-built actors with simple input forms provide an accessible interface without any coding.

But for AI agents making frequent, real-time web data requests — which is the fastest-growing use case for web data — running a full actor on every call is architecturally mismatched. The data is already structured in the site's API. Why scrape the HTML rendering of that data when you can call the API directly?

The Bottom Line

Apify industrialized web scraping. Unbrowse makes scraping obsolete for data retrieval.

Both platforms have marketplaces, but they share fundamentally different things. Apify shares scraping scripts that must be executed. Unbrowse shares API routes that resolve instantly. For AI agents that need web data at scale, the difference is transformative: sub-100ms responses, 40x fewer tokens, real-time data freshness, and a network effect that accelerates with every user.

Start at unbrowse.ai or read the research at arXiv.