Apify is a cloud platform for building, running and sharing web scraping and automation tools.** Those tools are called Actors, and you can either use them from a marketplace (the Apify Store) or build your own from scratch. You pay for the platform resources you consume, or per event, depending on the Actor.
Over the last twelve months, searches for "apify" have grown sharply. A lot of people arrive looking to log into the platform, but another group is still evaluating: what it costs, whether it fits their case, whether they can use it without a technical team.
This post answers those questions. We explain what Apify is, how it charges, who it works well for, and in which cases a company is better off delegating extraction to a managed service. Every figure about Apify comes from its official site and documentation, with the date we checked it.
A note on sources: the pricing and definitions in this post were taken from apify.com/pricing and docs.apify.com on November 2, 2026. Platform pricing changes; before deciding, check the official page.
What Apify is
Apify is a platform for doing web scraping and automating tasks on the web without having to run your own servers. Its documentation describes it as "the largest marketplace of AI tools", and it has three main pieces.
Actors
These are Apify's basic unit. According to the official documentation, Actors are "serverless cloud programs that accept structured JSON input, perform a task (web scraping, browser automation, data processing and more) and optionally produce structured output".
In plain terms: an Actor is a program that runs on Apify's servers. You tell it what you want (a list of URLs or a search term, for example) and it returns the data.
Apify Store
This is the marketplace where Actors get published. The documentation refers to "thousands of pre-built Actors" that you can filter by category or price. There are Actors for extracting data from social networks, maps, search engines, e-commerce sites and many others.
One important detail: anyone can publish an Actor in the Store. Some are developed by Apify, and many others by outside developers.
Platform infrastructure
Around the Actors, Apify offers:
- Storage: datasets for structured results, key-value stores for files and records, and request queues for the lists of URLs to visit.
- Proxy: its own proxy service for accessing sites "anonymously" and from different locations.
- Scheduling and monitoring: tasks, scheduled runs and alerts.
- Integrations: connections to tools like n8n and Zapier, AI agents, data warehouses, the Apify API and webhooks.
For people who write code, Apify also maintains Crawlee, an open-source library for building crawlers in JavaScript and Python.
How Apify works
The typical flow has four steps:
- Pick or build an Actor. You search the Store for one that extracts what you need, or you build your own with the Apify SDK.
- Configure the input. You load the parameters: URLs, keywords, number of results, proxy country.
- Run it. The Actor runs in Apify's cloud. You can launch it by hand, through the API or on a recurring schedule.
- Download or integrate the data. Results land in a dataset you can export or send on to another tool.
For a standard case, say pulling the results of a Google Maps search with a popular Actor, the process can take minutes. The complexity shows up when the case stops being standard, as we'll see below.
Apify pricing: what each plan costs
Apify combines a monthly subscription with usage. Each plan includes an allowance of platform usage, and if you go past it, you pay the overage.
These are the plans published on apify.com/pricing as of November 2, 2026:
| Plan | Monthly price | Annual price (per month) | Usage included / mo | Price per CU | Max RAM | Concurrent runs | Support |
|---|---|---|---|---|---|---|---|
| Free | USD 0 | USD 0 | USD 5 | USD 0.20 | 16 GB | 5 | Community |
| Starter | USD 19 | USD 17 | USD 19 | USD 0.20 | 64 GB | 32 | Chat |
| Scale | USD 199 | USD 179 | USD 199 | USD 0.16 | 256 GB | 128 | Priority chat |
| Business | USD 999 | USD 899 | USD 999 | USD 0.13 | 512 GB | 256 | Account manager |
A few concepts for reading that table:
- Compute unit (CU): this is the unit Apify uses to measure resources. According to its documentation, 1 CU equals 1,024 MB of memory for 1 hour.
- Proxies: billed separately. Residential proxies run from USD 7 to USD 8 per GB depending on the plan, and search engine results (SERP) proxies from USD 1.70 to USD 2.50 per 1,000.
- Free plan: no credit card required. If you burn through the USD 5 included, access is blocked until the next cycle, and unused allowance expires at the end of each month.
The three Actor billing models
On top of your plan, each Actor in the Store can have its own pricing model:
- Pay per usage: you only pay for the platform resources the Actor consumes.
- Pay per event: you pay a fixed price for events defined by the Actor's creator, such as each result returned. Apify gives the example of an Instagram scraper at USD 2.30 per 1,000 results.
- Pay per event plus usage: a combination of both.
The documentation says so explicitly: "some Actors may charge platform usage separately. Always check the pricing before running the Actor."
In practice, the final cost depends on volume, on the Actor you pick, on proxies and on how often things fail or have to be re-run. For small projects it's usually affordable; for large ones you need to estimate carefully. If you want to compare it with other options, we go through how much a web scraping service costs to implement in another post.
Who Apify is for
Apify works very well in several scenarios:
- Developers who want to run scrapers without managing servers, queues or storage.
- Technical teams that need to scale extractions and already know how to debug code.
- One-off or trial projects, where a Store Actor covers the case and the Free or Starter plan is enough.
- AI or no-code automations, thanks to its integrations with n8n, Zapier and AI agents.
- Standard cases on popular sites, where a maintained, well-reviewed Actor already exists.
If your case falls into one of those groups, Apify is a solid option.
Where it gets complicated for a company without a technical team
These difficulties aren't unique to Apify: they show up with any self-service scraping tool. But it's worth knowing about them before you choose.
Scraper maintenance
Websites change their structure and scrapers break. Apify manages this with automated tests: according to its Store documentation, an Actor gets an Under maintenance label when it fails those tests, and if it keeps failing, Apify delists it.
It's a good control system, but it leaves an open question for a company: what happens to your data flow while the Actor is under maintenance? If the Actor belongs to a third party, the fix depends on that developer. If it's your own, it depends on your team.
Data quality
An Actor delivers what it extracts. Validating that the data is complete, free of duplicates, consistently formatted and ready for your systems is still your job. When extraction feeds pricing, financial reporting or AI models, that control matters.
Blocks
Many sites run increasingly sophisticated anti-bot systems. Apify offers proxies and tools for handling them, but configuring them well and adjusting the strategy when a site hardens its defenses takes experience. We explain why it happens in why you get blocked while web scraping and how to avoid it.
Custom cases
When the site has no Actor in the Store, requires a login, has an unusual structure, or you need to combine several sources into a single schema, you have to write code. And at that point the platform stops being "ready to use".
Variable costs
With a usage-based model, monthly spend can swing with volume, retries and residential proxy usage. For some companies that variability isn't a problem; for others it complicates the budget.
When a managed scraping service makes more sense
A managed service works differently: it doesn't give you a tool, it delivers the data. You define what information you need, how often and in what format, and the provider takes care of everything else.
It usually makes sense when:
- You don't have a technical team, or you don't want your team spending time maintaining scrapers.
- The data is business-critical and a multi-day interruption carries a high cost.
- You need clean, validated data, ready to load into your database or your BI tool.
- The case is custom: several sources, sites with heavy blocking, logins or complex structures.
- You'd rather have a predictable cost and a clear owner if something breaks.
That's the model behind Data Factory, our recurring extraction service. It works in three steps: you define the data and the format; our team builds the extraction architecture, handles the blocks and manages the infrastructure; and you receive validated, clean records in JSON, CSV, XML or straight into your database. If a site changes its structure, we adjust the extraction. Your team doesn't have to maintain anything.
Some examples of what we deliver this way are e-commerce catalogs, Google Maps records and data for pricing strategies.
To choose well, our guide on how to pick the right web scraping provider may help.
Apify vs. a managed service: comparison table
| Criterion | Apify (platform) | Managed service (e.g. Data Factory) |
|---|---|---|
| What you get | A platform and tools for extracting data | The data, ready to use |
| Who configures and runs it | You or your team | The provider |
| Technical knowledge required | Low for standard Actors; high for custom cases | None on the client side |
| Maintenance when a site changes | The Actor's creator or your team | The provider |
| Data validation and cleaning | Up to the user | Included |
| Handling blocks | Tools available; the configuration is yours | Included |
| Pricing model | Subscription plus usage (CUs, proxies, events) | Proposal based on sources, volume and frequency |
| Time to first data | Minutes, if an Actor exists for your case | Days or weeks, depending on the feasibility analysis |
| Best for | Developers, trials, standard cases | Companies with business-critical data, custom cases or no technical team |
It isn't a forever choice. Plenty of companies start out testing with a self-service platform and, once the project grows or the data becomes critical, move to a managed service.
<!-- PENDING: add a link to the pillar page from subtask 12 once it's published. Suggested placement: this paragraph or the "When a managed service makes more sense" section. -->Frequently asked questions about Apify
What is Apify and what is it for?
Apify is a cloud platform for web scraping and automating tasks on the web. It's used to extract data from websites using programs called Actors, which you can take from its marketplace (the Apify Store) or build to order.
Is Apify free?
It has a Free plan at no cost and with no credit card required, including USD 5 of platform usage per month. Paid plans range from USD 19 to USD 999 per month, according to Apify's pricing page consulted on November 2, 2026.
How much does Apify cost?
It depends on the plan and your usage. Plans include a monthly usage allowance, and overage is billed per compute unit, per proxy usage and, for some Actors, per event or result. It's worth checking apify.com/pricing and each Actor's price before using it.
What is an Actor in Apify?
It's a program that runs in Apify's cloud. It takes JSON input, performs a task such as scraping or browser automation, and can return a structured result.
Do I need to know how to code to use Apify?
Not to use Store Actors for standard cases: configuring the input is enough. You do for building your own Actors, adapting an existing one, or handling sites with complex structures or blocking.
What happens if an Apify Actor stops working?
According to Apify's documentation, Actors that fail the automated tests get an "Under maintenance" label and, if they keep failing, are delisted. Each Actor has an Issues section for reporting problems to its creator.
What's the difference between Apify and a managed scraping service?
Apify is a platform: it gives you the tools and you operate the extraction. A managed service delivers the data already extracted, clean and validated, and takes care of maintenance and blocks.
Want the data without maintaining scrapers? With Data Factory you define what you need and we handle the rest. Explore Data Factory.




