n8n vs Apify
A detailed comparison to help you choose between n8n and Apify.
How to choose
Neither tool has user reviews on ToolSpotter yet, so we don't pick a winner. Compare them on what they're built for: n8n — Technical teams and engineers who want code-level control and the option to self-host automation as core infrastructure.; Apify — Developers and data teams who need web data as a recurring pipeline — prebuilt scrapers to start, custom Actors and proxy infrastructure as they scale..
n8n Workflow automation that gives you control | Apify Web scraping and automation platform | |
|---|---|---|
| Rating | 4.3 (1 review) | 4.3 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | Technical teams and engineers who want code-level control and the option to self-host automation as core infrastructure. | Developers and data teams who need web data as a recurring pipeline — prebuilt scrapers to start, custom Actors and proxy infrastructure as they scale. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | open sourcefree tierapi access | free tierapi accessopen source |
| Visit n8n → | Visit Apify → |
n8n
Pros
- + Unlimited steps per execution: my 20-node nightly sync counted as one execution, so complexity stops driving cost (n8n.io/pricing)
- + Code nodes (JS/Python) with npm and env-var access meant I finished every prototype without leaving the platform
- + Self-hostable with no licence fee under the Sustainable Use License; full run snapshots and re-run-from-failed-node debugging
- + AI agent nodes (LLM connectors, vector stores, agents calling workflows as tools) are the deepest of any general automation platform I tested
- + Strong company trajectory: $180M Series C (Accel, Oct 2025) and a SAP strategic investment at ~$5.2B in May 2026
Cons
- - Not open source — the Sustainable Use License (fair-code) forbids offering n8n as a hosted service and fails OSI procurement checks
- - Assumes engineering literacy: JSON paths, expressions, and async data structures stumped every ops-only user I watched try it
- - Self-hosting carries real ops cost — queue mode, worker scaling and upgrades took me hours that a managed platform absorbs
- - Documentation is thin at the edges; AI node options and queue-mode config sent me to community forum threads
- - Business cloud tier is self-hosted-only at time of writing (cloud waitlisted), leaving a gap between Pro's 10K executions and Enterprise
Apify
Pros
- + Genuine free sandbox: $5 monthly credit covers real test runs of store Actors, not just a feature tour
- + Store breadth — flagship scrapers (Google Maps, Instagram, SERP) show 4.6–4.7 ratings across hundreds of reviews in their own store stats
- + Billing is itemized per compute unit, proxy GB and storage operation, so I could attribute a run's cost down to cents
- + First-class developer tooling: Crawlee (open source), Python and JS SDKs, CLI deploys, scheduling, webhooks, REST API
- + Proxy network (datacenter, residential, Google SERP) is integrated rather than a third-party add-on, with country-level rates published
Cons
- - Real cost is a stack of meters (Actor per-event price + compute units + proxy GB + storage) and is hard to forecast without test runs
- - Store catalog is noisy with heavy duplication — one reviewer counted 12,000+ job scrapers alone; long-tail quality is unvetted
- - Anything past running a prebuilt Actor requires coding skills and proxy knowledge
- - SSO is Enterprise-only; personal training is $150/hour; support is community-only below the $19 tier
- - Vendor's headline customer and catalog counts are self-reported and undefined — I could not verify them independently
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