Best Apify Alternatives in 2026 (Actors, Pricing & Structured APIs)

Apify is one of the largest web scraping and automation platforms: a marketplace of over ten thousand prebuilt "Actors," support for custom actors, scheduling, dataset storage, proxies, and an MCP server for agents. It is the right tool when you want a platform, not just an API. But that breadth comes with a learning curve and a billing model — subscription plus compute units plus proxy plus per-actor fees, credits that expire monthly — that is the most common complaint in Apify reviews. This guide covers the best alternatives in 2026: what each does well, where it falls short, and when to pick it instead.

Is Apify actually the wrong tool?

Stay with Apify if you genuinely want a platform: browse a marketplace of ready-made scrapers, build and run custom actors, schedule recurring jobs, and store results — all without standing up your own infrastructure. That is exactly what it is built for. Look at alternatives when your need is narrower:

• You want a documented endpoint that returns the same JSON shape every time, not an actor whose output depends on which one you picked.
• You want predictable, fixed pricing instead of stacked compute-unit, proxy, and per-actor charges with credits that expire.
• You only need a handful of known platforms (search, maps, commerce, social) and don't want to evaluate actor quality or maintenance status.
• You want a free, open-source, self-hosted stack and are willing to run it yourself.
• The real need is arbitrary-URL scraping, SERP data, or enterprise-scale proxies, not an actor marketplace.

What to look for in an Apify alternative

• Output contract: a documented JSON schema per endpoint, or output that varies by which actor/scraper you chose?
• Pricing shape: one predictable meter, or stacked subscription + compute units + proxy GB + per-actor fees?
• Maintenance risk: who fixes it when a target site changes or a platform tightens its terms of service?
• Target type: a known set of high-value platforms, or arbitrary sites you need to crawl?
• Managed vs self-hosted: a hosted API with proxies and rendering handled, or an open-source framework you operate?
• Agent support: MCP tools or SDKs if you're wiring results into an AI agent.

The best Apify alternatives in 2026

There is no single winner — the right pick depends on whether you want an endpoint, a framework, or a bigger platform. Here is the landscape at a glance, then a closer look at each.

1. Crawlora — structured data from known platforms, no actor to pick

When you need normalized JSON from specific public sources — Google Search, Google Maps, Amazon, TikTok, YouTube, Product Hunt, Google Finance — a structured platform API skips the step where you evaluate which actor to run, whether it's maintained, and what shape its output takes. You call a documented endpoint and get the same fields back every time:

curl -s -X POST "https://api.crawlora.net/api/v1/google/search" \
  -H "x-api-key: $CRAWLORA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"keyword": "web scraping api", "language": "en", "country": "us", "limit": 10}'

import os
import requests

resp = requests.post(
    "https://api.crawlora.net/api/v1/google/search",
    headers={"x-api-key": os.environ["CRAWLORA_API_KEY"]},
    json={"keyword": "web scraping api", "language": "en", "country": "us", "limit": 10},
)
for row in resp.json()["data"]["result"]:
    print(row["position"], row["title"], row["link"])

The response is normalized JSON you can store directly (check the API docs for the current schema; official SDKs wrap the same endpoints):

{
  "code": 200,
  "msg": "OK",
  "data": {
    "result": [
      { "position": 1, "title": "Example result", "website_name": "Example", "link": "https://example.com/", "Snippet": "Snippet text shown under the result." }
    ]
  }
}

When to choose it: your product depends on a handful of known platforms and you want a documented endpoint billed on a single predictable meter — no actor to evaluate, no compute-unit math, no expiring monthly credits. See Crawlora vs Apify. It is not a marketplace or a custom-automation platform; for building and running your own actors, keep Apify.

2. Crawlee — Apify's own open-source framework

Crawlee is Apify's open-source scraping and browser-automation library for Node.js and Python — the same engine that powers Apify's hosted Actors, minus the platform, proxies, and billing. It's the natural "free Apify alternative" because it is, in a real sense, Apify's own core with the hosted parts removed.

When to choose it: you want the actor-authoring experience without a subscription, and you're comfortable running your own proxies, scheduling, and storage. You keep full control and pay nothing per request, but you own the infrastructure and its upkeep.

3. Firecrawl — AI-native crawling to markdown/JSON

Firecrawl crawls arbitrary websites, maps their pages, and converts content to markdown or JSON for LLM and RAG pipelines. Where Apify organizes scraping around actors that can target almost anything, Firecrawl is narrower and more opinionated: point it at a URL or a site, get back AI-ready content. See Firecrawl alternatives for the fuller comparison.

When to choose it: your job is genuinely open-web crawling for an AI pipeline — docs sites, blogs, long-tail pages with no dedicated API — rather than structured records from known platforms or custom browser automation.

4. ScrapingBee, ZenRows, ScraperAPI — generic scraping APIs

To fetch arbitrary URLs past anti-bot defenses and parse the HTML yourself, a generic scraping API is a lighter-weight layer than a full actor platform: send a URL, get back the rendered page (proxies and JS rendering handled), write your own parser. Compare Crawlora vs ScrapingBee, vs ZenRows, and vs ScraperAPI; see also ScraperAPI alternatives.

When to choose it: your targets are arbitrary sites, you're happy to own the parsing, and you don't need Apify's scheduling, storage, or actor ecosystem.

5. Bright Data, Zyte, Oxylabs — enterprise proxy and scale

For large custom crawlers, the Scrapy ecosystem, or global proxy networks at enterprise scale, these platforms are built for unblocking and volume rather than an actor marketplace. Compare Crawlora vs Bright Data, vs Zyte, and vs Oxylabs.

When to choose it: you're collecting web data at scale, need a large proxy pool, and have the engineering team to run it. Setup and pricing are heavier than a focused API or a single actor.

6. Browserbase, Browserless, Steel, Hyperbrowser — cloud browsers for agents

If what you actually need from Apify is a remote browser — not an actor, not a dataset, just a real Chromium instance an AI agent can drive over CDP — a dedicated cloud-browser provider is a narrower, often cheaper fit. Compare Crawlora vs Browserbase, vs Browserless, vs Steel, and vs Hyperbrowser.

When to choose it: your agent needs to click, type, and navigate a live session (including sites requiring login state or complex interaction), not fetch a static dataset. This is one of the fastest-growing wedges in the market as agent frameworks adopt browser-use patterns.

7. Octoparse, Browse AI — no-code visual scrapers

Not every Apify user is a developer. Octoparse and Browse AI offer point-and-click scraper building — click the fields you want on a page, no actor code or API calls required — plus scheduled monitoring for changes.

When to choose it: you or a non-technical teammate need to set up a scraper without writing code, and you're fine with a desktop app or a visual builder rather than an API.

8. SerpApi, DataForSEO — SERP and SEO data

If the actor you're actually looking for on Apify is a Google-results scraper, a dedicated SERP API is more direct. SerpApi covers many engines and SERP features; DataForSEO bundles SERPs with keyword and backlink datasets. See Best SERP APIs in 2026 and SerpApi alternatives.

When to choose it: rank tracking, SERP monitoring, or SEO tooling — not general actor-based automation.

9. Diffbot — entity extraction across the open web

Diffbot turns pages into structured entities (articles, products, organizations) rather than actor-defined datasets, powering knowledge-graph use cases.

When to choose it: you want entity-level structured data inferred across many sites, not per-platform endpoints or a specific actor's output.

Apify's billing model, in plain terms

The most consistent complaint about Apify isn't capability — it's predicting the bill. Cost stacks across four separate meters:

• A monthly subscription plan (Free, Starter, Scale, Business, or Enterprise) that sets your usage-credit allowance.
• Compute units (CU) consumed by actor runtime — CPU, memory, and duration — which varies by actor and target site.
• Residential proxy bandwidth, billed separately at roughly $8/GB on top of platform and compute costs.
• Per-actor pricing for many marketplace actors, on top of the platform's own compute and proxy charges.

Credits reset monthly and don't roll over, so unused capacity is lost and a spike in one week can blow through the month's allowance. None of this makes Apify's actors bad — it makes the total cost of a successful run hard to forecast until you've run it. Crawlora's alternative is a single credit weight per endpoint, documented up front, charged only on a successful 2xx response — one meter instead of four.

There's a second, quieter cost: actor maintenance risk sits with whoever published the actor, not you. A concrete example — Apify pulled its Apollo.io lead-scraping actors in September 2025 after Apollo tightened its terms of use, and as of mid-2026 Apify's own site still redirects that demand to third-party alternatives rather than offering a replacement. If your workflow depended on that actor, it disappeared with no warning. A documented, maintained endpoint on a structured API doesn't eliminate this risk entirely, but it puts the maintenance obligation on the API provider for the platforms it explicitly supports, rather than on a community actor that can vanish when an upstream site changes its terms.

Apify vs Crawlora: feature by feature

For the most common either/or — "should I run an actor, or call an endpoint for records?" — here is the head-to-head:

An Apify Actors MCP alternative

Apify ships an Actors MCP Server so AI agents can discover and run actors from inside tools like Claude and Cursor. If what your agent needs is structured platform data — search, maps, commerce, social, finance — rather than the flexibility to run arbitrary actors, Crawlora ships hosted MCP tools backed by the same documented endpoints, with no actor selection step. See give your AI agent live web data with MCP. The two can coexist: Apify's MCP for actor-based flexibility, Crawlora's for normalized platform records with predictable billing.

How to choose

1. Do you want a platform (marketplace, custom actors, scheduling, storage), or a documented endpoint for a known platform?
2. Can you tolerate output that varies by actor, or do you need a stable, documented JSON schema?
3. Do you want one predictable price per successful call, or are you comfortable estimating compute units, proxy GB, and per-actor fees?
4. Are your targets a handful of known platforms, or genuinely arbitrary sites that need a custom actor?
5. Do you want a hosted API, or are you willing to self-host Crawlee/Scrapy to avoid a subscription entirely?

If the answer points to known platforms and predictable pricing, a structured API like Crawlora is the cleaner fit; if it points to custom automation, scheduling, and a marketplace of ready-made scrapers, Apify remains a strong choice; if it points to a free, self-hosted stack, Crawlee or Scrapy is the realistic path.

Need a documented endpoint instead of an actor to evaluate?

Normalized JSON, managed proxies and retries, one predictable credit weight per endpoint billed only on success, and hosted MCP tools for agents. 2,000 free credits a month, no card.

Try the PlaygroundCrawlora vs Apify

Next steps

Try it first, free: turn any URL into clean Markdown with the Free Web Scraper — no signup, no API key.

Compare options on the comparison index, test a Crawlora endpoint in the Playground, browse the API docs, and wire data into an agent with the hosted MCP server.

Sources

Related reading

• Firecrawl Alternatives — when AI-native crawling to markdown is or isn't the right shape.
• Best Web Scraping APIs in 2026: How to Choose — structured APIs, generic scrapers, and proxy networks compared.
• ScraperAPI Alternatives — when a generic scraper is the right fit.
• Is Web Scraping Legal in 2026? — the legal basics before you collect at scale.