Apify

Apify, in 30 seconds

Apify is what you reach for when you do not want to manage proxies, browsers, queues or storage yourself. The platform runs over 5,000 community-built Actors — pre-packaged scrapers and automation scripts — on a serverless compute model billed in compute units. Build your own scraper with the open Crawlee SDK, sell it in the marketplace, or pull data from the existing catalogue without writing code. Native Model Context Protocol support means Claude, Cursor and ChatGPT can drive Apify Actors directly. The trade-off is meter complexity: every Apify account juggles four or five separate billing dimensions.

• 5,000+Actors in marketplace
• $10starter credit, no card
• $0fixed monthly fee on free tier
• 200+countries via integrated proxies

The Apify deal, decoded

Every new Apify account gets $10 of platform credit on email verification — no credit card required, no upgrade prompt blocking access. The credit spends across all five Apify meters at the same per-unit rate as a paid plan: compute units, residential proxy GB, datacenter proxy GB, dataset storage and SERP requests. That is roughly 32 hours of memory-light Actor runtime, 1 GB of residential traffic, or 5,000 SERP queries — comfortably enough to validate a real workflow before any card hits the account.

This is the deal's biggest strength and biggest catch. Apify's developer-first onboarding means there is no upgrade wall to negotiate, but the $10 burns fast on Actors that pull large datasets or use residential proxies on heavy targets. A single LinkedIn scrape of 10,000 profiles can spend the whole credit. Plan the test workload before you start.

How Apify pricing actually works

Apify bills four resources separately. There is no single "Apify plan" — paid plans give you bundled credit across all four, plus higher concurrency and longer Actor timeouts. The pricing model is the closest thing in the scraping category to AWS-style serverless billing.

Plan	Monthly fee	Bundled platform credit	Best for
Free	$0	$5/month + $10 starter	Hobby projects, validation
Starter	$49/month	$49 of platform credit	Solo devs, small workloads
Scale	$199/month	$199 of platform credit	Production scrapers, longer Actors
Business	$999/month	$999 of platform credit	Enterprise, dedicated support
Enterprise	Custom	Custom	Six-figure data pipelines

Inside the platform credit, the meters spend at:

Resource	Rate	Notes
Compute units	$0.30 per CU	1 CU = 1 GB-hour of Actor runtime
Residential proxy	$10 per GB	Cheaper on annual prepay
Datacenter proxy	$1.50 per GB	Cheapest meter for unguarded targets
SERP API	$2.50 per 1k requests	Google, Bing, DuckDuckGo
Dataset storage	$1 per GB-month	First 5 GB free on every plan

Practically, a 100,000-page crawl using datacenter proxies on a memory-light Actor lands around $30–$60 in total spend depending on average page size. The same crawl on residential is $200–$400. Pick the proxy meter to match the target.

Where Apify outclasses pure proxy vendors

The marketplace is the headline. 5,000+ Actors cover Google Maps, Instagram, TikTok, Twitter, LinkedIn, Amazon, Walmart, Indeed, Booking.com and the long tail of mid-traffic targets. Each Actor has documentation, a public test run history and revenue-share rights for the original developer. The catalogue depth is roughly 40x Bright Data's pre-built scraper count, with a wider distribution across niche sites.

The Crawlee SDK is the second edge. Apify open-sourced the underlying scraper framework and ships it as a pip and npm package independent of the platform. Developers prototype locally with Crawlee, deploy the same code as an Actor on Apify, and either run it for their own use or list it in the marketplace at a margin. The cycle from "I need data" to "this Actor pays for itself" is days, not months.

The MCP integration matters in 2026. Apify ships a native MCP server so Claude, Cursor and ChatGPT can list, run and read output from Apify Actors directly. An LLM agent looking for "all coffee shops in Berlin" can hit the Google Maps Actor, run it with structured arguments, and ingest the results without any custom plumbing. The composability is genuinely new.

Apify vs Bright Data vs Octoparse vs Smartproxy

Dimension	Apify	Bright Data	Octoparse	Smartproxy
Pre-built scrapers	5,000+ marketplace Actors	120+ datasets/scrapers	Templates only	None native
Code-first SDK	Crawlee (open-source)	None	None	None
Free tier	$5/mo + $10 starter	$5 trial credit	14-day trial	3-day money-back
AI agent integration	Native MCP server	MCP + Deep Lookup	None	None
Best for	Developers, marketplace, AI agents	Enterprise scale, hardest targets	No-code visual scraping	SMB proxies only

Apify wins on developer ergonomics and marketplace depth. Bright Data wins on raw network capability — it owns the underlying proxy infrastructure, while Apify resells aggregated proxy networks. Octoparse wins on no-code accessibility for non-developers. Smartproxy is in a different category entirely — it is a proxy provider, not a platform.

Six ways to use Apify in 2026

• Run a marketplace Actor: Pick from 5,000+ pre-built scrapers, fill in the inputs, hit run, get a JSON or CSV result. No code. Works for 80% of "I just need this data once" workflows.
• Build a custom Actor with Crawlee: Use the open-source Crawlee SDK in Node.js or Python, deploy as an Actor with one CLI command, run on Apify infra. The path for any scraping logic the marketplace does not cover.
• Schedule recurring Actor runs: Cron-like scheduler runs Actors on intervals, with Slack and email alerts on failure. The right tool for monitoring competitor pricing, tracking job-board churn or feeding a dashboard.
• Drive Apify from an LLM agent via MCP: Claude, Cursor and ChatGPT can hit the Apify MCP server, discover available Actors, run them with the right inputs and ingest results in conversation. The most interesting new pattern in scraping in 2026.
• Sell your Actor in the marketplace: Set a margin on top of platform compute, list publicly, and earn revenue share on every run. Roughly 1% of marketplace Actors generate $1k+/month for their developers.
• Use the Apify API as a backend: Trigger Actor runs from your app, ingest the dataset in webhook callbacks, and treat Apify as a managed scraping service for production workloads. The right pattern when scraping is one feature in a larger product.

Five Apify mistakes that drain credits

• No memory or timeout limits set. Default Actors will scale memory until they fall over. Cap memory to 512 MB or 1 GB and timeout to 30 minutes for first runs.
• Residential proxy when datacenter would do. Same lesson as Bright Data — datacenter is 6x cheaper. Reserve residential for genuinely protected targets.
• Pulling and storing media you do not need. Default Actor configs save every screenshot and PDF. Disable in the Actor settings unless you need them.
• Running marketplace Actors without reading the docs. Some Actors charge a fixed per-run fee on top of platform compute. The marketplace listing always shows the fee but the run dialog hides it. Check before launch.
• Free tier in production. $5/month of bundled credit is enough for two or three small Actor runs a day. Anyone building a real product should be on Starter or Scale before week two.

Decision matrix: when Apify is the right call

Situation	Apify fit
Need data from a long-tail website	Strongest fit — 5,000+ Actors covers most of the long tail
Building an LLM agent that needs live web data	Strong fit — native MCP integration is the cleanest in category
Hobby project under $5/month spend	Strong fit — free tier is genuinely useful
Want a no-code visual scraper builder	Weak fit — Octoparse and ParseHub are designed for that
100+ GB residential traffic per month	Mixed fit — Bright Data and Oxylabs are cheaper at scale
Procurement-heavy enterprise buyer	Mixed fit — Apify ships dedicated support but compliance docs are thinner than Oxylabs