6 Best Apify Alternatives(2026)
We compared 6 production-ready alternatives to Apify across pricing, license terms, ecosystem, and the specific tradeoffs each one makes — so you can pick the right replacement in under five minutes instead of three weekends.
Reviewed by the DevVersus editorial teamLast updated
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Apify is full-stack web scraping and browser automation platform. It is freemium, with paid plans starting at $29/month — and while many teams stick with it, the most common pushback we hear is around compute-unit pricing can get hard to predict at scale.
The 6 alternatives below are ranked by how often they are picked as a Apifyreplacement in real engineering teams we have surveyed and from changelog data. We list the pricing model, the standout strengths, the tradeoffs you will inherit, and a one-line "best for" summary. Use the comparison table to scan, then click into any row for the full breakdown.
You're replacing
Apify
freemiumFull-stack web scraping and browser automation platform
Starts at $29/month
Common reasons to switch
Quick comparison
| Tool | License | Starts at | Standout strength |
|---|---|---|---|
| Bright Data | paid | from $1.50/1K requests | Largest and most reliable proxy network |
| ScrapingBee | paid | $49/month | Very simple API — fast to integrate |
| Firecrawl | freemium | $16/month | Purpose-built for AI/LLM workflows |
| Octoparse | freemium | $119/month | No coding required |
| ScraperAPI | freemium | $49/month | Simple to integrate |
| Zyte | paid | from $0.13/1K requests | Built by the creators of Scrapy |
The 6 alternatives in detail
Bright Data is an enterprise-grade web data platform offering one of the largest proxy networks (residential, datacenter, ISP, and mobile), plus Web Scraper APIs, a Web Unlocker, SERP API, and ready-made datasets. It is built for high-volume, compliance-conscious data collection.
Best for: teams ready to pay for largest and most reliable proxy network.
Pros
Cons
Features
ScrapingBee is a developer-focused web scraping API that handles headless browsers, proxy rotation, and CAPTCHA avoidance behind a single endpoint. You send a URL and get back rendered HTML or extracted data — no infrastructure to manage.
Best for: teams ready to pay for very simple api — fast to integrate.
Pros
Cons
Features
Firecrawl is a scraping and crawling API built for AI workflows — it crawls a site and returns clean Markdown or structured JSON ready to feed into LLMs and RAG pipelines. It handles JavaScript, proxies, and rate limits, and exposes scrape, crawl, map, and extract endpoints.
Best for: teams who want to start free and upgrade to paid features as they scale.
Pros
Cons
Features
Octoparse is a no-code, point-and-click web scraping tool that lets non-developers build scrapers visually. It offers cloud extraction, scheduling, IP rotation, and pre-built task templates for popular sites — turning web pages into structured data without writing code.
Best for: teams who want to start free and upgrade to paid features as they scale.
Pros
Cons
Features
ScraperAPI is a web scraping API that manages proxies, browsers, and CAPTCHAs so you can fetch any page with a single request. It rotates across millions of proxies, retries failed requests automatically, and offers structured data endpoints for search engines and e-commerce sites.
Best for: teams who want to start free and upgrade to paid features as they scale.
Pros
Cons
Features
Zyte (formerly Scrapinghub) is a web scraping platform from the team behind the open-source Scrapy framework. Its Zyte API unifies proxies, headless browser rendering, and anti-ban handling with usage-based, per-successful-response pricing tiered by site difficulty.
Best for: teams ready to pay for built by the creators of scrapy.
Pros
Cons
Features
Deep analysis: when Apify falls short
When to move away from Apify
Apify is the right choice when the team needs to run web scrapers at scale without managing browser infrastructure, proxy pools, or scheduling logic. Its Actor model, where each scraper is a containerized unit that can be published, versioned, and shared, is a genuine differentiator. The Apify Store contains thousands of pre-built Actors for common targets like Google Search, Amazon product pages, Instagram profiles, and real estate listings, meaning many scraping tasks can be solved without writing a single line of code. For custom scraping, Apify's Crawlee open-source library, which powers most Actors, provides a production-grade crawling framework with automatic retry, request queuing, and browser fingerprint rotation. Choose Apify when the team needs to scrape multiple different sites, when the scrapers need to run on a schedule with monitoring, or when the output feeds into a data pipeline or AI application. Avoid it when the scraping target is a single, simple API that can be called directly, or when the team has existing scraping infrastructure on dedicated servers and the migration cost outweighs the managed benefit.
Real-world migration scenario
A solo developer building a price comparison SaaS deploys 8 Apify Actors to scrape product prices from e-commerce sites every 6 hours. Each Actor is configured via input JSON with the target URLs, CSS selectors, and output format. The scraped datasets are automatically pushed to Apify's Dataset storage and pulled into a PostgreSQL database via a webhook that triggers a Next.js API route. The developer uses 3 pre-built Store Actors for Amazon, Flipkart, and Google Shopping, and writes 5 custom Actors using Crawlee with Playwright for sites that require JavaScript rendering. The free tier's monthly compute credit covers about 50,000 page loads with datacenter proxies. As the product grows to tracking 10,000 products, the monthly cost scales to roughly per month on the Personal plan. The tradeoff: each Actor's compute consumption varies based on the target site's complexity, proxy type, and rendering requirements, making cost prediction difficult until the Actor has run for several billing cycles.
⚠Production gotchas with Apify
Compute unit pricing is the main source of billing surprises. One compute unit equals one second of Actor runtime with 1 GB of memory. Actors that use Playwright or Puppeteer for full browser rendering consume significantly more compute units per page than those using plain HTTP requests with Cheerio. A Playwright-based Actor can consume 10 to 50 times more compute units per page than an HTTP-based one, and many Store Actors default to browser rendering even when the target page does not require JavaScript execution. Switching an Actor from Playwright to CheerioCrawler can reduce costs by 90 percent but requires understanding the target page's rendering requirements. Residential proxy bandwidth is billed separately from compute units and is not included in any plan's base pricing. A scraping job that routes through residential proxies for anti-bot bypass can generate a proxy bill that exceeds the compute bill. Store Actors maintained by third parties may add per-result fees on top of the platform's compute charges, and these fees are disclosed in the Actor's pricing tab but are easy to miss during initial evaluation. Dataset storage has a retention period tied to the plan: data older than 7 days on the free plan is automatically deleted, which can silently break pipelines that process historical data.
Analysis by Bikram Nath · Last verified 2026-07-07
How we pick alternatives
We start from real engineering teams, not search volume. Every alternative on this list comes from change-log data, public migration posts, and our own survey of engineering managers — not just "tools that share keywords with Apify." If nobody is actually replacing Apify with a tool, it does not appear here, even if it shows up on other ranking sites.
We list real tradeoffs, not pros-and-cons theater. Every cons section is a real reason your team will hit friction with that tool — pricing jumps after a usage threshold, ecosystem gaps, breaking changes between versions, missing integrations. We do not pad cons with vague complaints to make pros look better.
Pricing reflects what you will actually pay. "Starts at" numbers are the realistic entry point for a small production team — not the marketing-only free tier. We update these prices when vendors change them, with the last-updated date stamped at the top of this page.
No pay-to-play ranking. DevVersus earns affiliate commission on some links — those are tagged with the disclosure above. Affiliate status does not change ranking order. Tools with no affiliate program outrank ones we earn from when they fit the use case better.
Frequently asked questions
What is the best alternative to Apify?＋
Bright Data is the most-recommended Apify alternative for general use. It offers largest and most reliable proxy network and high success rate on hard-to-scrape sites, with a paid licensing model starting at from $1.50/1K requests. That said, the right choice depends on whether you prioritize cost, ecosystem maturity, or specific features — see the full comparison above.
Is there a free alternative to Apify?＋
Firecrawl offers a freemium plan you can use without paying. Once you exceed the free tier limits, paid plans start at $16/month.
Why do developers switch from Apify?＋
The most common reasons developers move away from Apify are: compute-unit pricing can get hard to predict at scale; residential proxy bandwidth billed separately; steeper learning curve for fully custom actors; store actors may add per-result fees. These limitations push teams to evaluate alternatives once their workload, team size, or technical requirements grow.
How does Apify compare to Bright Data?＋
Apify is freemium (from $29/month) and is known for full-stack web scraping and browser automation platform. Bright Data is paid (from from $1.50/1K requests) and focuses on enterprise web data platform with the largest proxy network. For a side-by-side breakdown, see our /compare/apify-vs-bright-data page.
Should I migrate from Apify to one of these alternatives?＋
Migration is rarely worth it for cost alone — you should switch only when your current tool blocks a workflow, scales poorly, or is being deprecated. If Apify is meeting your needs, the lock-in cost (re-training the team, rewriting integrations, retesting) often outweighs the savings. Use this page to identify candidates, then run a 1-2 week proof-of-concept before committing.
Compare Apify head to head
Reviewed by the DevVersus editorial team — engineers who have shipped production code on the tools we compare. We update this page when pricing, features, or ecosystem changes warrant it. Last updated .