Apify runs web scraping, crawling and browser automation in the cloud through containerized programs called Actors, with a marketplace of tens of thousands of ready-made scrapers, rotating proxies, scheduling and an API for developers and AI data pipelines.
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Apify is a web scraping platform in the cloud that also covers browser automation and data extraction, built around a single deployable unit called an Actor. The official site positions the product as the largest marketplace of trusted tools for AI, offering real-time web data, competitor tracking, lead generation, social media monitoring, and integration with your apps and agents. In practice, that means two distinct ways of working: you either run one of the ready-made Actors that other developers have already published, or you write and deploy your own.
Apify is operated by Apify Technologies s.r.o., a Czech company registered in Prague at Vodičkova 704/36 under Company ID No.: 04788290. The product has a longer history than most tools in the current AI wave: Apify was launched by Jan Čurn and Jakub Balada in 2015 from the Y Combinator Fellowship in Mountain View, California, and the team moved back to the Czech Republic in 2016 to build a company around the product. That origin matters because Apify predates the LLM boom by years — it was a scraping infrastructure company first, and its AI-facing positioning is a layer added on top of mature crawling infrastructure rather than a rebrand of a new product.
The company publishes its own scale figures: the About page states 80,000 customers worldwide, 1 PB+ of data processed monthly, and 61,525 ready-made Actors in Apify Store. Treat these as vendor-reported numbers rather than audited metrics. They are worth quoting mainly for the order of magnitude of the marketplace, which is the single most distinctive thing about the platform.
This is a developer product, not a consumer app. There is no point evaluating Apify the way you would evaluate a point-and-click scraping tool: the abstractions, the billing model, and the failure modes all assume someone who is comfortable reading documentation, reasoning about memory allocation, and debugging a run that returned fewer rows than expected.
Everything on the platform is an Actor. The official documentation defines them precisely: Actors are serverless cloud programs that take a structured JSON input, perform a task (web scraping, browser automation, data processing, and more), and optionally produce a structured output. Run them manually in Apify Console, through the API or CLI, or on a schedule, and combine them into larger automations.
The anatomy is deliberately conventional. An Actor consists of a Dockerfile which specifies where the Actor's source code is, how to build it, and run it, plus documentation as a README, input and output schemas describing what it requires and produces, access to the built-in storage system, and metadata such as name, description, author, and version. Because the contract is a Docker image plus a JSON schema, an Actor can be written in essentially any language, and Actors can call and interact with each other to build more complex systems from simple ones.
Actors can be public or private. Private Actors stay yours; public Actors appear in Apify Store where anyone can run them. That single distinction is what turns the platform from a hosting service into a marketplace.
The Store is Apify's real moat. The most-used Actors are site-specific scrapers published under developer namespaces — clockworks/tiktok-scraper, compass/crawler-google-places, apify/instagram-scraper, apify/website-content-crawler — and each carries its own user count and star rating, so you can see adoption before you commit. The Google Maps scraper, for example, displays 568K users and a 4.7 rating across 1,764 ratings on the homepage listing.
This matters operationally more than it might appear. Site-specific scrapers rot: when a target site changes its markup or tightens its anti-bot posture, the scraper breaks. Buying into a Store Actor means buying into someone else's maintenance commitment, which is why the ratings and user counts are the numbers to read first. A popular, actively maintained Actor is a very different proposition from an abandoned one with the same feature list.
Apify Proxy is a separately priced product line, not an incidental feature. The documentation describes it plainly: Apify Proxy lets you rotate IP addresses when scraping to avoid geographic blocking. Use it from your Actors or any application that supports HTTP proxies. Apify monitors the IP pool's health and rotates addresses to prevent IP-based blocking.
Four types are offered, each with a different cost and blocking profile. Datacenter proxies are the fastest and cheapest option, with the caveat that other users' activity can get these IPs blocked. Residential proxies use IP addresses located in homes and offices around the world and are the least likely to be blocked. Google SERP proxy is purpose-built for extracting search engine result pages with country and language selection. Unblocker automatically bypasses anti-bot and anti-captcha systems using built-in smart routing, so you don't need to detect or solve challenges yourself.
Runs write into three storage types — datasets, key-value stores, and request queues — each billed on timed storage plus read, write, and list operations. Tabular exports such as XLSX and CSV are capped at 2000 columns. Named storages are retained indefinitely; unnamed ones follow retention rules covered under Limitations.
On the control side, the platform doubles as a data extraction API: a REST interface drives it programmatically from your code, webhooks that trigger external events when an Actor run succeeds or fails, and GitHub integration to trigger runs from repository events. Actors can also trigger other Actors, which is how multi-step pipelines get built without an external orchestrator.
Apify maintains a genuine open-source presence rather than a token repository. The homepage states that Apify works great with both Python and JavaScript, as well as Playwright, Puppeteer, Selenium, Scrapy, and Crawlee — our own web crawling and browser automation library. Crawlee is Apify's own library and showed 25,453 GitHub stars on the homepage counter at the time of writing; it runs perfectly well outside Apify, which makes it a low-commitment entry point.
On the AI side, the integrations documentation lists an Apify MCP server to expose Apify Actors and storages to any MCP-compatible AI client, alongside plugins for Claude Code CLI, GitHub Copilot, Cursor, Codex CLI, and OpenCode, plus tool wrappers for the OpenAI Agents SDK, LangChain, Vercel AI SDK, and Google ADK, and Pinecone for vector indexing. This is the concrete substance behind the "tools for AI" positioning: Actors become callable tools for agents.
The Website Content Crawler Actor exists specifically to crawl websites and extract text content to feed AI models, LLM applications, vector databases, or RAG pipelines, with Markdown output and HTML cleaning. Paired with the MCP server or the LangChain wrapper, this is currently the most common new-build pattern: Apify handles crawling, rendering, and unblocking, and the downstream stack handles chunking, embedding, and retrieval.
Scheduled Actor runs plus webhooks make recurring monitoring straightforward — e-commerce price tracking, marketplace listing changes, review monitoring, or competitor page diffing. The scheduling, retry, and storage machinery is the part you would otherwise have to build and babysit yourself.
Google Maps and social platform scrapers are among the most-used Actors on the Store, typically for building prospect lists from publicly listed business information. This is also the use case with the sharpest legal edges, since business contact records frequently contain personal data — see Limitations before building a pipeline around it.
Apify runs a two-sided market. The homepage pitch to developers is explicit: publishing your Actor is free of charge—the customers pay for the computing resources. New creators get $500 free platform credits. Apify also handles payments, taxes, and invoicing and sends a monthly net payout, which turns a maintained scraper into a small product business without the SaaS overhead.
It is a poor fit for non-technical users expecting a point-and-click tool. Independent reviewers repeatedly flag the learning curve, and the billing model in particular assumes you will reason about memory, runtime, and proxy consumption.
Apify is a hosted cloud platform used through Apify Console in the browser, with no desktop or mobile application. Programmatic access runs through the REST API, official API clients, and the Apify CLI, with SDKs for JavaScript and Python. Actors themselves are Docker images, so the runtime is whatever you package.
Crawlee, the underlying crawling library, is open source and runs anywhere Node.js or Python runs — including entirely off the Apify platform. Editor and agent integrations cover Claude Code CLI, GitHub Copilot in VS Code, Cursor, Codex CLI, and OpenCode, and the MCP server connects Actors to any MCP-compatible client. Workflow connections include Zapier, Make, n8n, GitHub, Google Sheets, Google Drive, and Slack.
Apify uses a prepaid-allowance model with pay-as-you-go overage on top. The Free plan costs $0 and includes $5 to spend in Apify Store or on your own Actors, at $0.2 per compute unit with community support and no credit card required. Starter is $29 per month with $29 of included usage at the same $0.2 per CU. Scale is $199 per month with $199 included at $0.16 per CU and priority chat support. Business is $999 per month with $999 included at $0.13 per CU and an account manager. Enterprise pricing is custom, adding SLAs and SSO. Annual billing is advertised at a 10% discount.
Two structural details matter more than the headline prices. First, unused usage credits are not rolled over to the next billing cycle, and they expire at the end of the billing cycle — the monthly allowance is use-it-or-lose-it. Second, the overage behaviour differs sharply by plan: paying users continue and are billed for overage against a configurable limit, while free users are blocked until the beginning of the next monthly cycle.
Store Actors add a second billing layer on top of platform usage. The documentation describes three models: pay per event, where you pay for specific events the Actor creator defines, such as generating a single result or starting the Actor; pay per usage, where the developer charges nothing extra and you pay only platform resources; and rental, where you pay a flat monthly fee to the developer in addition to platform usage. Note that the pricing page FAQ describes only the first two — the documentation is the more complete source, and each Actor's own page is authoritative for which model applies.
Proxies and storage are metered separately. Residential proxies run $8 per GB on Free and Starter, $7.5 on Scale, and $7 on Business. SERP proxy runs from $2.5 down to $1.7 per 1,000 SERPs, and Unblocker from $1.5 down to $1 per 1,000 requests. Dataset timed storage is $1.00 per 1,000 GB-hours on lower tiers, with request queues at $4.00. Discounts of 30% are advertised for students, startups, and nonprofits.
Apify's differentiator is the combination of a very large marketplace of maintained Actors, an open-source library you can adopt independently, and infrastructure that covers proxies through storage. Its trade-offs are billing complexity and dependence on third-party Actor maintainers.
Apify is a cloud platform from the Czech company Apify Technologies s.r.o. for web scraping, browser automation, and data extraction. Work is packaged into Actors — serverless cloud programs taking JSON input and producing structured output — which you either pick from a marketplace of tens of thousands of ready-made ones or write yourself and deploy.
Broadly, yes. Running an existing Store Actor by filling in a form is approachable for a non-developer, but understanding costs, diagnosing failures, and wiring output into your systems all assume technical fluency. Reviewers consistently cite a noticeable learning curve for anything beyond basic use. A genuinely non-technical user is better served by a visual tool such as Octoparse.
Two layers. The platform layer bills compute units (1024MB of memory for one hour equals 1 CU), proxy traffic, storage operations, and data transfer. Your plan includes a prepaid allowance — $5 free, $29 Starter, $199 Scale, $999 Business — at declining CU rates from $0.2 to $0.13. The second layer is the Actor's own model: pay per event, pay per usage, or a monthly rental. Unused allowance expires each cycle.
For evaluation and small one-off jobs, yes: $5 of monthly usage with no credit card buys a meaningful number of runs on a cheap Actor. For anything recurring it is tight, and two constraints bite — exceeding the allowance blocks you until the next cycle, and only your 10 most recent runs are retained, for 4 months.
A containerized program on Apify's cloud with a declared input schema and an output destination. Because the contract is a Docker image plus JSON, it can be written in any language, run on demand or on a schedule, and chained with other Actors. That uniformity is what allows a marketplace to exist.
Apify's own published position is that scraping publicly available data is generally legal, while data behind a login, personal data, intellectual property, and confidential data demand real caution and may be protected by terms of service or by national and international regulation. The platform does not clear your specific use: the terms require you to process only data you are authorized to access, in compliance with applicable law. For anything touching personal data or a commercially sensitive target, get your own legal advice.
The privacy policy states that Apify does not use Personal Data processed on behalf of customers as a data processor to train AI models unless the customer has separately agreed. Separately, for the platform's AI features, the terms state that your inputs and the resulting outputs are not used to train any foundation model. Your run data lives in platform storage subject to your plan's retention rules.
Partly. Crawlee, Apify's crawling and browser automation library, is open source and runs on your own infrastructure with no Apify account. What you give up is the managed layer — proxy rotation, scheduling, storage, monitoring, and the Store. Many teams prototype in Crawlee locally and deploy to Apify only when they want that managed layer.
It varies by Actor, because they are published by independent developers. The signals available on each detail page — star rating, number of ratings, user count, and last update — are the practical way to judge. Widely used, recently updated Actors from established publishers behave very differently from unmaintained ones, and a scraper that has not been updated since its target site redesigned is likely broken.
Two recur across independent reviews. The first is cost predictability: the multi-layer billing model makes it hard to forecast a monthly bill before running the job. The second is the learning curve, particularly around advanced features and automated workflows. Setting maximum charge limits and test-running before scheduling addresses much of the first; the second is inherent to a developer platform.
