Apify is a cloud platform for web scraping and browser automation, built around a marketplace of pre-built programs called Actors that run on Apify's managed infrastructure. A developer who wants product listings from a JavaScript-heavy e-commerce site can find an Actor in the Apify Store that already handles that target, trigger it via API or a no-code workflow tool, and get clean JSON back without writing a crawler. That convenience is real. But the billing model that powers it, compute units plus per-Actor charges plus expiring prepaid allowances, is genuinely hard to forecast, and for teams that just need reliable data at a predictable price, a simpler path exists. This post explains how Apify works, what it costs, where it earns its reputation, and where a dedicated scraping API is the better fit.
What Apify is and how it works
Apify is not a single API endpoint. It is a platform that runs self-contained programs called Actors, each of which is a scraper or automation script deployed on Apify's managed infrastructure. An Actor can browse the web, fill forms, extract data, and return structured output, all without you managing any servers. You trigger it via the Apify API, a schedule, or a workflow tool like n8n, Make or Zapier, and it runs to completion.
The Apify Store is the marketplace where these Actors live. The Store includes Actors published by Apify and by third-party developers, covering a wide range of common scraping targets. A data analyst who needs a one-time dataset, or a small team without scraping engineering capacity, can often get structured data without writing a line of code. That is the platform's clearest advantage.
Apify also maintains Crawlee, an open-source crawler SDK you can use independently or as a foundation for custom crawlers hosted on Apify. Teams that want to build custom crawlers and benefit from Apify's managed infrastructure will find it a solid starting point. The combination of a mature SDK and a managed hosting layer is what makes Apify attractive for teams building complex, multi-step scraping pipelines.
The contrast with a dedicated scraping API is structural. A scraping API exposes one endpoint: you send a URL, it handles proxies, JavaScript rendering and anti-bot evasion, and it returns HTML or structured data. There are no Actors to select, no input schemas to configure, no orchestration layer to manage. For teams integrating scraping into their own application, that simplicity is the point.
How Apify bills you: Actors, compute units and platform fees
Apify's pricing is worth unpacking carefully because it has several moving parts that interact in ways that are easy to underestimate.
Plans are prepaid usage allowances. The Starter plan costs $19 a month and the Business plan costs $999 a month, but those dollars buy a compute-unit budget, not a fixed number of API calls. Compute units are billed at $0.20 per unit on the Starter plan and $0.13 per unit on the Business plan. The free tier provides $5 of platform usage with no card required, which is enough to run a few test Actors and get a feel for the platform.
The first complication is expiry. Unused credits expire at the end of each billing cycle, so a month where your workload is lighter than expected wastes the prepaid allowance. For teams with variable scraping volumes, this creates a recurring budgeting problem.
The second complication is Actor-level charges. Many marketplace Actors add a separate pay-per-event or pay-per-usage charge on top of the platform fee. That means the total cost of a run depends on both the compute units consumed by the platform and the pricing model chosen by the Actor's author, which you need to check before you run. For a one-off data pull this is manageable; for a production pipeline running thousands of requests a day, it makes cost forecasting genuinely difficult.
The third complication is that capabilities are spread across many Actors rather than one API. You might use one Actor for page scraping, another for SERP data, and another for screenshots, each with its own configuration and pricing. That flexibility is powerful when you need it, but it adds overhead when you do not.
Where Apify excels: the marketplace, Crawlee and workflow automation
Apify's strengths are real, and the right way to evaluate it is to match them against your actual use case.
- The Apify Store is the platform's most distinctive asset. A broad catalog of pre-built Actors for common scraping targets means many teams can get structured data without writing any scraping code, which is a genuine shortcut for non-engineering users.
- Crawlee is a mature open-source SDK with a strong community and good documentation, giving teams a solid foundation for building custom crawlers on Apify's infrastructure.
- Workflow integration is first-class. Actors can be triggered from n8n, Make or Zapier, chained into multi-step pipelines, and scheduled without managing any servers. For complex automation workflows, this is hard to replicate with a simple API.
- Pay-per-event or pay-per-usage pricing on many Actors can be cost-effective for low-volume or irregular workloads where you want to avoid paying for a large prepaid allowance you may not fully use.
- A growing data-for-AI ecosystem makes Apify relevant for teams building RAG pipelines or agentic workflows on top of scraped data.
Where a dedicated scraping API is cheaper or simpler
The Actor model adds value when you need it, but it adds friction and cost when you do not. There are specific scenarios where a unified scraping API is the better choice.
When you already know what data you want. If your goal is to fetch HTML from a URL, render JavaScript, solve a CAPTCHA and return the result, you do not need to select an Actor, read its documentation, configure its input schema and pay its author's markup. A single API call handles all of that.
When you need predictable per-request costs. Compute-unit billing makes it hard to calculate what a workload will cost before you run it, and Actor-level charges add another variable on top. A scraping API that charges a fixed number of credits per successful request lets you multiply requests by cost and get an answer before you commit. For a production pipeline, that predictability matters for budgeting and for setting internal expectations.
When you need multiple capabilities from one place. A team that needs page scraping, SERP data, screenshots and markdown conversion for an LLM pipeline would need to find, configure and pay for separate Actors on Apify. A unified API covers all of those from one endpoint and one credit pool, with one set of credentials and one invoice.
When your monthly volume is variable. Apify's prepaid allowances expire at the end of each billing cycle, so lighter months waste budget. A credit-based API where you pay for what you use, without expiry pressure, is easier to manage across months with different workloads.
It is also worth noting that CAPTCHA solving and screenshot or PDF output are not confirmed at the Apify platform level and may vary by Actor, meaning you need to verify capability Actor by Actor rather than relying on a platform-level guarantee.
Apify vs Ujeebu: features and price side by side
The table below compares the two platforms across the features that matter most for a programmatic scraping use case, using confirmed information from both sides.
| Feature | Apify | Ujeebu |
|---|---|---|
| JavaScript rendering | Yes | Yes |
| Residential proxies | Yes (Apify Proxy) | Yes |
| Geotargeting | Yes | Yes |
| CAPTCHA solving | Not confirmed at platform level | Built-in |
| Google SERP API | Yes | Yes (structured, included) |
| AI / LLM extraction | Yes | Yes |
| Screenshots | Not confirmed at platform level | Yes |
| PDF output | Not confirmed at platform level | Yes |
| Per-success billing | Yes (pay-per-event or pay-per-usage on many Actors) | Yes (failed requests not billed) |
On pricing, the structural difference is that Apify's plans are prepaid allowances that expire at the end of each billing cycle, with compute-unit rates that vary by plan and Actor-level charges on top. Ujeebu uses one credit pool across all request types, and the cost per request is fixed and calculable in advance.
| Plan tier | Apify | Ujeebu |
|---|---|---|
| Free | $0 ($5 platform usage, no card) | $0 (5,000 credits, no card) |
| Entry | $19/mo (Starter) | $49/mo (300,000 credits) |
| Mid | $199/mo (Scale) | $119/mo (1,000,000 credits) |
| Business | $999/mo (Business) | $999/mo (15,000,000 credits) |
To make the credit math concrete: on Ujeebu's Growth plan at $119 a month, a plain scrape costs 1 credit, a JavaScript-rendered scrape costs 5 credits, a SERP request costs 5 credits, and a markdown conversion costs 5 credits. You can calculate the cost of any workload before you start. For a full side-by-side breakdown, see the Ujeebu vs Apify comparison.
Here is what a single Ujeebu call looks like for a JavaScript-heavy page with CAPTCHA solving, replacing what would otherwise require finding and configuring an Actor:
curl -X GET 'https://api.ujeebu.com/scrape?url=https://scrape.li/quotes/&js=true&auto_captcha_solve=true&proxy_type=rotating&json=true' \
-H "ApiKey: YOUR_API_KEY"
import requests
response = requests.get(
"https://api.ujeebu.com/scrape",
params={
"url": "https://scrape.li/quotes/",
"js": True,
"auto_captcha_solve": True,
"proxy_type": "rotating",
"proxy_country": "US",
"json": True,
},
headers={"ApiKey": "YOUR_API_KEY"},
)
print(response.json())
Both calls draw from the same credit pool, with no Actor selection and no per-author markup. See the Scrape API docs for the full parameter reference.
Apify alternatives worth knowing
If you are evaluating Apify, you are probably also considering the broader market. The main alternatives fall into two categories: other managed platforms and dedicated scraping APIs.
- Firecrawl focuses on web-to-markdown conversion for LLM pipelines, with a credit model starting at $16 a month for 5,000 credits.
- ScraperAPI is a dedicated scraping API with a Hobby plan at $49 a month for 100,000 credits, aimed at developers who want a straightforward REST interface.
- ScrapingBee offers a similar model with a Hobby plan at $19 a month for 75,000 credits, with JavaScript rendering included.
- Zyte sits closer to Apify in the managed-platform category, with strong support for Scrapy-based crawlers.
- Bright Data is a proxy and scraping infrastructure provider with a broad product surface, typically suited to larger organizations.
- Ujeebu covers scraping, SERP, markdown, screenshots and PDF from one API and one credit pool, with a free trial of 5,000 credits and no card required.
The right choice depends on whether you need a marketplace of pre-built scrapers, a managed platform for complex pipelines, or a predictable API for programmatic integration. For a broader look at how these tools compare on features and pricing, the best web scraping APIs guide covers the field in detail.
How to choose between Apify and a scraping API
The decision comes down to what kind of work you are doing and how you want to pay for it.
Choose Apify if you want a ready-made Actor for a specific site and do not want to write any scraping code; you are building a complex multi-step pipeline that benefits from Actor chaining, scheduling and workflow tool integration; or you want to build on the Crawlee SDK and host on Apify's managed infrastructure.
Choose a dedicated scraping API if you are integrating scraping into your own application or pipeline via REST and need a single endpoint; you need to calculate per-request costs before committing to a workload; you need JavaScript rendering, SERP data, screenshots and markdown from one place without selecting and configuring separate Actors; or your monthly volume varies and you do not want a prepaid allowance to expire unused.
The middle ground is also common. Some teams use Apify for one-off data pulls where a ready-made Actor saves days of engineering, and a scraping API for the programmatic, high-volume core of their product where predictability and simplicity matter more than the marketplace.
If you are leaning toward the API path, the Ujeebu free trial gives you 5,000 credits with no card required, enough to run meaningful tests across scraping, SERP and markdown before you commit to a plan.
FAQ
What is Apify used for?
Apify is used for web scraping, browser automation and data extraction. Its marketplace of pre-built Actors covers common scraping targets, and its Crawlee SDK lets developers build custom crawlers hosted on Apify's infrastructure. Teams use it for everything from one-off data pulls to scheduled pipelines feeding analytics or AI systems.
How does Apify pricing work?
Apify plans are prepaid usage allowances billed in compute units. The Starter plan costs $19 a month and charges $0.20 per compute unit; the Business plan costs $999 a month and charges $0.13 per compute unit. Many marketplace Actors add a separate pay-per-event or pay-per-usage charge on top of the platform fee. Unused credits expire at the end of each billing cycle.
Is Apify free to use?
Yes. Apify's free tier provides $5 of platform usage with no credit card required, which is enough to test a few Actor runs. Sustained use at any meaningful volume requires a paid plan.
What is the difference between an Apify Actor and a scraping API?
An Actor is a self-contained program that runs on Apify's managed platform. It can do anything a browser or HTTP client can do, but you need to find, configure and pay for each one separately. A scraping API is a single REST endpoint: you send a URL and parameters, and it handles proxies, JavaScript rendering and anti-bot evasion and returns data. The API model is simpler for programmatic integration; the Actor model is more flexible for complex or no-code workflows.
When should I use Apify instead of a scraping API?
Apify is the better choice when you want a ready-made scraper for a specific site without writing code, when you need to chain multiple scraping and automation steps into a managed pipeline, or when you want to build on the Crawlee SDK and host on Apify's infrastructure. A scraping API is the better choice when you need predictable per-request costs, a single endpoint covering multiple data types, and straightforward programmatic integration into your own application.