Apify Review
Quick verdict
| Verdict | Detail |
|---|---|
| Best for | Teams that want to ship a working scraper this week using a Store Actor, and retain the option to drop into Crawlee code when the target changes. |
| Less ideal for | Pure proxy shopping (Bright Data or Oxylabs win on $/GB); one-shot "give me Markdown" LLM crawls (Firecrawl is purpose-built for this); teams mandated to self-host everything. |
| Bottom line | Start on Free, run a 20-item sample on your actual target URLs, measure both CU and per-result cost, then decide. |
What is Apify?
Apify is a cloud platform for web scraping and browser automation built around Actors: packaged jobs with JSON input, containerized execution, and structured output (datasets, files, queues). It combines:
- A marketplace of 30,000+ Actors for popular sites and workflows
- Crawlee and Apify SDKs for custom scrapers you deploy with
apify pushor CI - Managed runtime: proxies, RAM tiers per plan, scheduling, webhooks, monitoring, and integrations
If you already run ad-hoc Puppeteer scripts on a VPS, Apify is the “make it someone else’s uptime problem” option, with clearer cost accounting than a pile of cron jobs.
Who it’s for
| Persona | Fit | Why |
|---|---|---|
| Product / growth engineer | Strong | Store Actors compress time-to-first-dataset; webhooks feed your warehouse. |
| Backend / data engineer | Strong | API-first runs, typed clients, predictable storage contracts. |
| ML / AI engineer | Strong–medium | MCP + crawlers that emit clean text/Markdown; may pair with Firecrawl for LLM-centric flows. |
| RevOps / marketing ops | Medium | No-code console works, but schema validation still rewards technical users. |
| Infra purist | Weak | You pay for convenience; self-hosted Crawlee wins on control, loses on ops hours. |
Key features
| Capability | What you actually get |
|---|---|
| Apify Store | Filter by category, maintenance signals, and community ratings; pay attention to last run and open issues. |
| Actor runtime | Per-run memory limits, concurrency caps by plan, logs, and dataset export (JSON/CSV/Excel). |
| Crawlee | Queueing, retries, browser + HTTP crawling, the same toolkit underlying many Store Actors. |
| Proxies | Residential and datacenter options integrated into runs; still no substitute for reading each site’s ToS. |
| Automation | Tasks (saved configs), cron schedules, webhooks, and workflow tools (Make, n8n, Zapier). |
| AI-facing surfaces | MCP for agent clients; Website Content Crawler and similar Actors for RAG-oriented text. |
Pros and cons
Pros
| # | Pro | Notes |
|---|---|---|
| 1 | End-to-end workflow | Build, run, store, schedule, and deliver in one product, with fewer moving parts than DIY glue code. |
| 2 | Massive Store catalog | 30,000+ Actors means many targets are a configuration problem, not a greenfield scraper project. |
| 3 | Serious developer path | Crawlee + Git + CLI matches how backend teams already ship software. |
| 4 | Predictable free entry | $0 plan with $5/month credits lowers the cost of honest evaluation. |
| 5 | Operational visibility | Run history, logs, and retries beat SSH-ing into a mystery cron server. |
| 6 | Integration surface | First-party hooks into automation stacks and data warehouses reduce one-off ETL scripts. |
Cons
| # | Con | Mitigation |
|---|---|---|
| 1 | Dual pricing layers | Platform CUs plus some Actors’ per-result fees; read both before you scale. |
| 2 | Community Actor variance | Vet maintainers, issues, and sample runs; pin versions for production. |
| 3 | Not the cheapest proxy SKU | If you only need raw IPs, a proxy vendor may win on unit price; Apify wins on workflow integration. |
| 4 | Learning curve at scale | Concurrency, memory, queues, and Actor billing interact; budget time for tuning. |
| 5 | Vendor lock-in (soft) | Portable logic lives in Crawlee; datasets and schedules are still Apify-shaped. |
| 6 | Compliance is still on you | Apify provides infrastructure; your use case must respect site rules and privacy law. |
Pricing overview (2026)
Verify live numbers on Apify pricing; plans and rates change.
| Plan | Monthly | Credits / month | CU rate (indicative) | Max RAM / concurrent (indicative) |
|---|---|---|---|---|
| Free | $0 | $5 | $0.20/CU | 8 GB / 25 runs |
| Starter | $29 | $29 | $0.20/CU | 32 GB / 32 runs |
| Scale | $199 | $199 | $0.16/CU | 128 GB / 128 runs |
| Business | $999 | $999 | $0.13/CU | 256 GB / 256 runs |
| Enterprise | Custom | Custom | Custom | Custom / unlimited |
Annual billing commonly saves ~10%. Unused monthly credits expire; they do not roll. For CU math and examples, see Apify pricing explained.
Comparison vs alternatives
| Dimension | Apify | Bright Data | Firecrawl | Self-hosted Crawlee |
|---|---|---|---|---|
| Core bet | Actor platform + Store + cloud runtime | Enterprise proxy & data network | API crawl → clean content for LLMs | You operate crawlers yourself |
| Time to first result | Minutes if a Store Actor fits | Fast when using their collectors / datasets | Fast for page-to-Markdown pipelines | Days–weeks (build + infra) |
| Customization | High (custom Actors) | Medium–high (APIs, datasets) | Medium (API params, formats) | Highest (full code control) |
| Pricing clarity | Medium (CUs + Actor fees) | Medium–opaque (data SKUs) | Medium (API credits) | High (infra invoices only) |
| Ops burden | Low | Low–medium | Low | High |
Selection heuristic
- Apify: production scrapes, recurring jobs, mixed Store + custom code.
- Bright Data: maximum emphasis on proxy / dataset products at enterprise scale.
- Firecrawl: LLM ingestion pipelines where Markdown and crawl UX matter most.
- Self-hosted: hard compliance boundaries or engineers who already run k8s cron at scale.
API and crawling notes (practitioner view)
| Area | Takeaway |
|---|---|
| Apify API v2 | Solid for runs, datasets, KV stores, schedules, webhooks; official JS and Python clients. |
| Sync runs | Convenient for scripts; watch timeouts on long browser jobs. |
| Rate limits | High enough for normal orchestration; still backoff on 429s like any API. |
| Crawling | Static HTML via HTTP stacks; SPAs via Playwright/Puppeteer; anti-bot mitigations are helpful, not magical. |
What to watch out for in practice
Things that have bitten operators we've talked to:
- Per-result Actor fees can dwarf CU cost. A Google Maps Actor at $4/1,000 places is a $4/1,000-places Actor with some CUs on top, not "mostly free." Read the Actor Pricing tab.
- Community Actor rot. Actors with fewer than ~50 monthly users and no commit in 6 months often break silently after site changes. Filter the Store by maintainer and last update.
- Memory defaults are too generous. Many Store Actors default to 2–4 GB when 512 MB works. That's 4–8× CU waste until you override.
- Residential proxy bandwidth. At 50 MB/request, a 10,000-request run uses 500 MB = $4 in residential bandwidth. Budget this separately from CUs.
- Over-quota behavior differs by plan. Free blocks. Paid plans silently accept overage and invoice it, so set a billing limit in the Console before scheduling anything.
Verdict
Apify earns its place among top-tier scraping platforms because it combines marketplace velocity with developer-grade extensibility. The honest tradeoffs are cost model sophistication and Actor quality variance. Both are manageable if you prototype on Free, enforce budget caps, and pin proven Actors.
| Area | Score (1–5) | Comment |
|---|---|---|
| Developer experience | 5 | Crawlee + CLI + API align with real engineering workflows. |
| No-code / Store UX | 4.5 | Excellent when a mature Actor exists; vetting still required. |
| Reliability | 4.5 | Platform is stable; individual Actors inherit maintainer diligence. |
| Pricing & value | 4 | Strong at mid-market automation; optimize CUs + Actor fees early. |
| Support & docs | 4.5 | Generally praised in public reviews. |
| Overall | 4.7 | Rounded; not a substitute for your own POC on representative URLs. |
Start scraping for free → · Open the Apify Store →
For teams that need recurring web data and prefer managed infrastructure, yes, especially when a Store Actor covers your targets. If you only need raw proxies or a single LLM crawl API, compare specialized vendors (e.g., Bright Data, Firecrawl) before committing.
Start with the Free plan’s $5 monthly credits, run a 10–20 record sample, and read both compute unit usage and any per-result Actor charges. Extrapolate with a 2× buffer; see the pricing guide for CU examples.
Yes for no-code paths: pick a Store Actor, fill the input form, download a dataset. Custom Actors expect comfort with JavaScript or Python and basic HTTP/browser debugging.
Apify is a scraping and automation platform (Actors, storage, schedules). Bright Data centers on proxy infrastructure and enterprise data products. Use Apify when you want packaged scrapers and workflows; use Bright Data when proxy or dataset products are the primary purchase.
Firecrawl optimizes crawling content into LLM-friendly formats via API. Apify is broader: thousands of site-specific Actors, custom Crawlee code, and full pipeline tooling. Teams doing RAG sometimes use both.
Crawlee is Apify’s open-source crawling library. Apify adds cloud execution, the Store marketplace, managed proxies, scheduling, billing, and hosted storage. Crawlee alone is code you run wherever you want.
The platform is used by large enterprises and handles high run volume. Production readiness for your app still depends on choosing maintained Actors, setting limits, and monitoring output quality, the same as any scraping stack.
Common mistakes and fixes
Pricing is confusing
Start with the Free plan to learn the credit model. Read apify-pricing and set spending limits in Billing.
Actor output quality varies
Check reviews, run history, and issue tabs before scaling. Prefer Apify-maintained Actors for critical workloads.
