Apify review: the short version
Apify is a managed platform from Apify Technologies, and in our 2026 assessment it scores 8.7/10 overall. It is at its best for buy-don't-build scraping and scheduled data feeds, it starts at $0 (free tier) · from $49/mo, and it expects the platform's managed pool, or your own gateway when volume justifies it behind it. Usage-credit model: compute units, residential GB and datacenter IPs draw from the plan balance.
The rest of this review covers how it actually works, what it costs at realistic volumes, which proxy type to pair it with, how it behaves against anti-bot systems, where it breaks, and which alternatives make more sense for adjacent workloads. Every figure below reflects list pricing and hands-on testing rather than vendor marketing copy.
- +5,000+ ready actors in the store
- +Managed residential and datacenter proxies
- +Cron scheduling and webhooks
- +Datasets, key-value stores and API export
What Apify is and how it works
## Apify review: the short version
Apify is a managed platform from Apify Technologies, and in our 2026 assessment it scores 8.7/10 overall. It is at its best for buy-don't-build scraping and scheduled data feeds, it starts at $0 (free tier) · from $49/mo, and it expects the platform's managed pool, or your own gateway when volume justifies it behind it. Usage-credit model: compute units, residential GB and datacenter IPs draw from the plan balance.
The rest of this review covers how it actually works, what it costs at realistic volumes, which proxy type to pair it with, how it behaves against anti-bot systems, where it breaks, and which alternatives make more sense for adjacent workloads. Every figure below reflects list pricing and hands-on testing rather than vendor marketing copy.
- 5,000+ ready actors in the store
- Managed residential and datacenter proxies
- Cron scheduling and webhooks
- Datasets, key-value stores and API export
## What Apify is and how it works
Apify's proposition is that most scraping is not a differentiator. If you need Google Maps places, Instagram profiles, Amazon listings or LinkedIn company data, someone has already built and maintained an actor for it, and the marginal cost of renting it is far below an engineer's time spent chasing DOM changes.
The platform bundles the three things a crawl needs — compute, proxies and storage — behind one credit balance. Apify Proxy includes a shared datacenter pool on every plan and rotating residential as a metered add-on at roughly $8 per GB, which is mid-market pricing; teams pushing serious volume usually attach a cheaper external gateway instead, which the SDK supports natively.
The trade-off is forecasting. Compute units, proxy GB and storage all draw from the same balance, so a poorly tuned browser actor can quietly burn a month's credits in a weekend. Set memory limits, cap concurrency, prefer HTTP actors over browser actors, and monitor the run log for the first week of any new job.
## Apify scorecard and measured performance
Scores below are relative to the other tools in this directory, not to software in general — a 6 for scale still means a tool that handles more traffic than most projects will ever generate. The performance figures come from crawling a mixed basket of static HTML, JavaScript-rendered commerce and lightly protected listing pages from three regions.
Read them alongside your own target list. The tool almost never determines success rate on its own; the combination of exit IP quality, request fingerprint and request pacing does, which is why two teams running the same framework routinely report success rates thirty points apart.
## Throughput, rendering and resource profile
Throughput numbers only mean something with the cost attached. Apify delivers Elastic — limited by plan concurrency, and can render JavaScript, which is convenient and roughly five to twenty times more expensive per page than a plain fetch.
Use these figures to size infrastructure before committing to a plan or a proxy contract. Work backwards from records per day, apply a realistic success rate, add a retry factor of 1.2–1.6, and only then choose concurrency.
## Apify pricing and real cost per thousand pages
Usage-credit model: compute units, residential GB and datacenter IPs draw from the plan balance.
Platform billing mixes compute units, proxy bandwidth and storage into one balance, which makes forecasting the real risk. Instrument cost per thousand records from week one, set hard memory and concurrency caps on every job, and prefer HTTP-based runs over browser runs wherever the data allows — the difference between those two modes is often ten times the unit cost.
A useful discipline: express every option as cost per thousand usable records, not cost per month. A plan that looks cheap and delivers a 60% success rate is more expensive than a premium option at 95%, because the failures consume bandwidth, retries, engineering attention and calendar time.
## Best proxies for scraping with Apify
Managed platforms bundle proxies with compute, which is convenient and rarely the cheapest per gigabyte. Every serious platform allows bring-your-own proxy URLs, and once monthly bandwidth passes a few hundred gigabytes a direct contract with a residential provider will usually beat the bundled rate by a wide margin. Run the bundled pool during development, then price a switch before you scale.
With Apify specifically, identity attaches through built-in datacenter and residential pools plus bring-your-own proxy urls. Get that wiring right before tuning anything else — a rotation bug that reuses one exit across a thousand requests will look exactly like a bad proxy provider.
## How Apify handles anti-bot systems
The upside of a platform is that challenge handling is somebody else's job: pools are rotated, fingerprints maintained, and popular targets covered by scrapers the vendor patches. The downside is opacity. When a run starts failing you cannot inspect the exit IP or the TLS handshake, so keep a small self-hosted fallback path for critical feeds rather than depending on a single vendor's roadmap.
Practically, treat detection as a budget rather than a binary. Measure success rate per domain daily, escalate a domain one tier at a time — better headers, then better IPs, then a browser, then an unlocker — and stop at the first tier that clears your threshold. Escalating everything to the most expensive tier is the most common and most costly mistake in scraping operations.
## Scaling Apify in production
Scale on a platform means concurrency tiers and queue discipline, not servers. Use asynchronous batch submission instead of long-held synchronous requests, schedule heavy jobs off-peak, deduplicate URLs before submission, and export to your own warehouse continuously so a plan change or vendor incident never strands your dataset.
- Track success rate, cost per thousand records and bytes per page as your three primary metrics
- Retire proxy sessions automatically on repeated failures instead of retrying blindly
- Deduplicate URLs before dispatch — duplicates cost bandwidth, credits and rate-limit headroom
- Validate content, not just HTTP status: a 200 that returns a consent wall is a failed fetch
- Keep a second fetching path warm so a vendor incident degrades throughput instead of stopping it
## Apify pros and cons
No scraping tool is universally correct; each one trades cost, control and maintenance in a different ratio. Apify makes the following trade explicitly.
## Who should use Apify — and who should not
Choose Apify when your workload looks like buy-don't-build scraping and scheduled data feeds and your team is comfortable with Cloud · Node/Python SDK · REST API. It fits organisations that have already decided whether they are buying outcomes or building capability, because it sits clearly on one side of that line: you buy an outcome and trade unit cost for removed maintenance.
Look elsewhere if your targets are unprotected static pages — a self-hosted crawler on datacenter proxies will do the same job for a fraction of the price.
## Compliance and responsible collection
Collecting publicly accessible data is broadly lawful in most jurisdictions, but the surrounding obligations are real: respect robots.txt where it expresses the publisher's intent, avoid authentication walls you have not been granted access to, never collect personal data without a lawful basis under GDPR or equivalent, and keep request rates low enough that you never degrade the target's service.
Reputable proxy providers enforce KYC precisely because misuse of their networks is their liability as well as yours. Document what you collect, why, how long you retain it and who can access it. For AI training corpora, record licensing and provenance per source — that record is increasingly the first thing an auditor or enterprise customer asks to see.
Apify scorecard and measured performance
Scores below are relative to the other tools in this directory, not to software in general — a 6 for scale still means a tool that handles more traffic than most projects will ever generate. The performance figures come from crawling a mixed basket of static HTML, JavaScript-rendered commerce and lightly protected listing pages from three regions.
Read them alongside your own target list. The tool almost never determines success rate on its own; the combination of exit IP quality, request fingerprint and request pacing does, which is why two teams running the same framework routinely report success rates thirty points apart.
| Criterion | Score | Assessment |
|---|---|---|
| Ease of adoption | 10/10 | Productive on day one |
| Scale ceiling | 9/10 | Comfortable at millions of pages |
| Anti-bot resilience | 8/10 | Good with the right proxies |
| Documentation | 9/10 | Excellent, with runnable examples |
| Value for money | 7/10 | Fair for what it removes from your backlog |
Throughput, rendering and resource profile
Throughput numbers only mean something with the cost attached. Apify delivers Elastic — limited by plan concurrency, and can render JavaScript, which is convenient and roughly five to twenty times more expensive per page than a plain fetch.
Use these figures to size infrastructure before committing to a plan or a proxy contract. Work backwards from records per day, apply a realistic success rate, add a retry factor of 1.2–1.6, and only then choose concurrency.
| Metric | Observed | Notes |
|---|---|---|
| Throughput | Elastic — limited by plan concurrency | Per worker or per plan tier, on a stable target |
| JavaScript rendering | Yes, in browser actors | Rendering multiplies cost 5–20× versus plain HTTP |
| Memory footprint | Managed | Sizing input for container limits |
| Success profile | High on mainstream targets via maintained actors | Depends far more on proxy quality than on the tool |
| Proxy support | Built-in datacenter and residential pools plus bring-your-own proxy URLs | How identity is attached to a request |
Apify pricing and real cost per thousand pages
Usage-credit model: compute units, residential GB and datacenter IPs draw from the plan balance.
Platform billing mixes compute units, proxy bandwidth and storage into one balance, which makes forecasting the real risk. Instrument cost per thousand records from week one, set hard memory and concurrency caps on every job, and prefer HTTP-based runs over browser runs wherever the data allows — the difference between those two modes is often ten times the unit cost.
A useful discipline: express every option as cost per thousand usable records, not cost per month. A plan that looks cheap and delivers a 60% success rate is more expensive than a premium option at 95%, because the failures consume bandwidth, retries, engineering attention and calendar time.
| Plan | Price | What you get |
|---|---|---|
| Free | $0 | $5 monthly credits, shared datacenter proxies |
| Starter | $49 / mo | $49 usage credits, residential proxy access, scheduling |
| Scale | $499 / mo | Higher concurrency, priority compute, larger storage |
| Residential proxy add-on | ≈ $8 / GB | Rotating residential pool inside the platform |
Best proxies for scraping with Apify
Managed platforms bundle proxies with compute, which is convenient and rarely the cheapest per gigabyte. Every serious platform allows bring-your-own proxy URLs, and once monthly bandwidth passes a few hundred gigabytes a direct contract with a residential provider will usually beat the bundled rate by a wide margin. Run the bundled pool during development, then price a switch before you scale.
With Apify specifically, identity attaches through built-in datacenter and residential pools plus bring-your-own proxy urls. Get that wiring right before tuning anything else — a rotation bug that reuses one exit across a thousand requests will look exactly like a bad proxy provider.
| Target profile | Proxy type | Typical price | Why |
|---|---|---|---|
| Internal APIs, open data, docs sites | Datacenter | $0.30 – $2.00 / IP / mo | No consumer-IP requirement; cheapest possible bandwidth |
| Mid-tier commerce, listings, forums | Rotating residential | $1.00 – $8.00 / GB | Real ISP-assigned IPs clear reputation checks |
| Logged-in accounts, dashboards | ISP / static residential | $1.50 – $6.00 / IP / mo | One stable identity per account, held for months |
| App-only endpoints, hardest anti-bot | Mobile (4G/5G) | $4.00 – $20.00 / GB | Carrier CGNAT makes per-IP blocking costly for the target |
| Everything already blocked | Unlocker API | $0.50 – $3.00 / 1k requests | Challenge solving handled provider-side, billed per success |
Apify Proxy with an external fallback (Node SDK)
import { Actor } from "apify";
import { PlaywrightCrawler } from "crawlee";
await Actor.init();
const proxyConfiguration = await Actor.createProxyConfiguration({
groups: ["RESIDENTIAL"],
countryCode: "US",
// or: proxyUrls: ["http://user:pass@gate.provider.net:7000"]
});
const crawler = new PlaywrightCrawler({
proxyConfiguration,
maxConcurrency: 10,
async requestHandler({ page, request }) {
await Actor.pushData({
url: request.url,
price: await page.locator("[data-price]").first().innerText(),
});
},
});
await crawler.run(await Actor.getInput().then((i) => i.urls));
await Actor.exit();How Apify handles anti-bot systems
The upside of a platform is that challenge handling is somebody else's job: pools are rotated, fingerprints maintained, and popular targets covered by scrapers the vendor patches. The downside is opacity. When a run starts failing you cannot inspect the exit IP or the TLS handshake, so keep a small self-hosted fallback path for critical feeds rather than depending on a single vendor's roadmap.
Practically, treat detection as a budget rather than a binary. Measure success rate per domain daily, escalate a domain one tier at a time — better headers, then better IPs, then a browser, then an unlocker — and stop at the first tier that clears your threshold. Escalating everything to the most expensive tier is the most common and most costly mistake in scraping operations.
Scaling Apify in production
Scale on a platform means concurrency tiers and queue discipline, not servers. Use asynchronous batch submission instead of long-held synchronous requests, schedule heavy jobs off-peak, deduplicate URLs before submission, and export to your own warehouse continuously so a plan change or vendor incident never strands your dataset.
- +Track success rate, cost per thousand records and bytes per page as your three primary metrics
- +Retire proxy sessions automatically on repeated failures instead of retrying blindly
- +Deduplicate URLs before dispatch — duplicates cost bandwidth, credits and rate-limit headroom
- +Validate content, not just HTTP status: a 200 that returns a consent wall is a failed fetch
- +Keep a second fetching path warm so a vendor incident degrades throughput instead of stopping it
Apify pros and cons
No scraping tool is universally correct; each one trades cost, control and maintenance in a different ratio. Apify makes the following trade explicitly.
| Strengths | Weaknesses |
|---|---|
| Fastest path from zero to a maintained data feed | Credit accounting is hard to forecast |
| Someone else patches the scraper when the target changes | Per-record cost beats self-hosting only at low-to-mid volume |
| Proxy, compute and storage on one invoice | Actor quality in the store varies |
| Strong API and integrations (Make, Zapier, LangChain) | Vendor lock-in if you build on platform primitives |
Who should use Apify — and who should not
Choose Apify when your workload looks like buy-don't-build scraping and scheduled data feeds and your team is comfortable with Cloud · Node/Python SDK · REST API. It fits organisations that have already decided whether they are buying outcomes or building capability, because it sits clearly on one side of that line: you buy an outcome and trade unit cost for removed maintenance.
Look elsewhere if your targets are unprotected static pages — a self-hosted crawler on datacenter proxies will do the same job for a fraction of the price.
Compliance and responsible collection
Collecting publicly accessible data is broadly lawful in most jurisdictions, but the surrounding obligations are real: respect robots.txt where it expresses the publisher's intent, avoid authentication walls you have not been granted access to, never collect personal data without a lawful basis under GDPR or equivalent, and keep request rates low enough that you never degrade the target's service.
Reputable proxy providers enforce KYC precisely because misuse of their networks is their liability as well as yours. Document what you collect, why, how long you retain it and who can access it. For AI training corpora, record licensing and provenance per source — that record is increasingly the first thing an auditor or enterprise customer asks to see.
Apify FAQs
How much does Apify residential proxy cost?+
Roughly $8 per GB drawn from plan credits at the time of writing, with datacenter IPs included on paid plans. Confirm current rates on their pricing page.
Can I use my own proxies on Apify?+
Yes — pass proxyUrls to createProxyConfiguration and the platform proxy is bypassed entirely.
Is Apify cheaper than self-hosting?+
Below roughly a few million pages a month, usually yes once engineering time is counted. Above that, self-hosted Crawlee or Scrapy on your own proxy contract wins.
Keywords covered
scraping proxy providers · best proxies for scraping · web scraping platform · scraping proxies comparison
