Best Apify Alternatives for AI Web Agents in 2026

Key Takeaways

• Apify is a mature scraping marketplace, not an agent platform. If your job ends at "extract fields from a page," it holds up. If it starts with "log in, navigate the flow, act on what you see, return proof," you're pushing an Actor into a shape it wasn't built for.
• TinyFish is the pick when the job needs a web agent that completes: authenticated logins, multi-step forms, dynamic pages, and structured output from one platform (Search, Fetch, Browser, Agent) on a Wallet-based model with no monthly minimum.
• Firecrawl is the pick for LLM-ready extraction pipelines. Bright Data is the pick for enterprise proxy scale. Scrapy and Crawl4AI are the picks when you have engineers and want open-source control.
• Match the tool to the job, not the category. Predictable pricing, authenticated multi-step work, and clean output for models are three different problems. The article walks through which alternative solves which.

You kicked off a 5,000-record job on a marketplace Actor, watched $12 in compute units disappear, and half the rows came back malformed. The maintainer hadn't shipped in six months. That's the moment most teams start hunting for Apify alternatives.

Apify does one thing well: give you a marketplace of pre-built scrapers and the Crawlee SDK on managed infrastructure. For known, stable targets, that model works. But its compute-unit billing is hard to forecast, community Actor quality is uneven, and the platform was built for scripted extraction, not for agents that reason about a page.

Below are seven alternatives, each strong at a different piece of the problem. TinyFish is second — because it solves the specific piece Apify's Actor model structurally can't: authenticated, multi-step work that actually finishes.

7 Best Apify Alternatives Compared for 2026

Ratings are directional; source links are in each tool's Customer Reviews section. Pricing verified August 19, 2026. Vendors move fast, so confirm on the vendor's own page before committing to a plan.

Before you go deeper into any single tool, the fastest way to see whether an agent-based approach fits your workflow is to run it on your own target site. TinyFish's Search and Fetch are free, no card required. Agent runs come out of a Wallet you fund only when you need it.

Test TinyFish on your own target site. Search and Fetch are free, no card.

Start with $8 in Wallet funds →

Firecrawl: Best for LLM-Ready Data Extraction

Switch from Apify when: Your output feeds an LLM and you're spending engineering time stripping HTML before embedding.

Firecrawl is the default AI data layer for a lot of RAG and agent teams. Its /scrape, /crawl, and /extract endpoints turn a URL into clean markdown or schema-validated JSON in one call, with LangChain and LlamaIndex integrations built in. The /agent endpoint and Browser Sandbox are newer moves toward multi-step work, but the core product is extraction, not operation. On GitHub it's past 82K stars, which tells you where developer mindshare sits for the "URL to LLM-ready content" job.

Key features

Native markdown and structured JSON

Every scrape returns clean markdown by default. For structured data, /extract lets you define an output schema with a natural-language prompt or a Pydantic model, and the response conforms to the schema. That saves the parsing layer most teams write around raw HTML.

/crawl for full-site extraction

Point /crawl at a domain and it discovers and extracts pages up to a depth or a URL pattern you specify. Useful for docs sites, blogs, and content indices when you want the whole set, not one page.

/agent and Browser Sandbox (early)

Firecrawl's newer /agent endpoint and Browser Sandbox push toward interactive work: click, wait, extract. In our own testing and their public benchmarks, these features are less mature than the extraction core — reasonable for structured browsing, not yet where you'd point a multi-step authenticated workflow.

Pricing

Advanced modes stack: JSON extraction adds 4 credits per page, Enhanced adds 4 more, and Stealth Mode multiplies base cost by 5×. Confirm on Firecrawl's pricing page before committing.

Where Firecrawl shines

• Output quality per dollar for LLM pipelines: Native markdown removes an entire preprocessing step. For docs sites, marketing pages, and blogs, it's very hard to beat on cost-per-clean-page.
• Developer ecosystem: Framework integrations, active community, and predictable per-page pricing at the base tier make it fast to prototype and cheap to run at moderate volume.
• Structured extraction with schemas: Defining output schemas in the request means you don't hand-roll parsers for each target.

Where Firecrawl falls short

• Extraction-first, not operation-first: The /agent endpoint is early. For jobs that require login, session state, or complex multi-step navigation, it's not the tool.
• Aggressive anti-bot sites burn credits: Independent Proxyway testing put Firecrawl's success rate on protected sites at around 34% at 2 requests per second. Stealth Mode helps but multiplies cost.
• Advanced modes stack costs quickly: JSON + Enhanced + Stealth on the Hobby tier drops your effective page count fast. Model your actual mode mix before picking a plan.

See which competitive intelligence tools fit your workflow.

Customer reviews

Firecrawl's G2 page is still thin (one verified review as of August 2026), so most named reviews live on Product Hunt, where Firecrawl currently sits at 5.0 across 15 reviews.

Positive — Vincent Lamanna, who used Firecrawl to build Crewdle AI: "LLM-ready output — It returns clean markdown, not a tangle of raw HTML we'd have to parse ourselves. That saved us weeks." His team was "up and running in an afternoon instead of fighting infrastructure" (source).

Critical — Pranav Pai Vernekar: "It would be great to have a deeper, multi-step search capability. When an entity is partially identified but some key attributes are missing, the agent should be able to automatically expand the search to related sources across the web, infer connections, and enrich the final output with additional relevant details" (source).

That gap is the shape of a job an agent-based platform handles.

Who Firecrawl is best for

• RAG and LLM pipeline teams: If the output goes straight into an embedding step, Firecrawl is the shortest path.
• Docs and content indexing: Structured sites, low anti-bot friction — this is Firecrawl's sweet spot.

For a deeper look at where Firecrawl fits versus TinyFish, see TinyFish vs Firecrawl.

TinyFish: When You Need an Agent, Not Just a Scraper

Switch from Apify when: Your job includes login, multi-step navigation, or decisions based on what's on the page — anywhere a scripted Actor breaks the moment the site changes.

TinyFish is infrastructure for web agents. Search, Fetch, Browser, and Web Agent live under one API key, one Wallet, one dashboard. You enter at the layer that fits the job — most teams start with Search and Fetch on the read-and-extract path — and grow into Web Agent when the workflow starts requiring login, forms, and multi-step completion.

That last part is the wedge.TinyFish's Web Agent operates the page: you give it a goal and a URL, it navigates, authenticates through Vault + Profiles, fills forms, works through filters and pagination, and returns structured results with an evidence trail. Single-surface tools can't structurally match that because they don't own the browser layer and the credentials layer and the extraction layer at the same time. TinyFish does.

Behind Web Agent since July 21, 2026, is Mako — TinyFish's web-native AI model, trained on production web-task trajectories, purpose-built to execute live web workflows reliably at scale. You keep your reasoning model (Claude, GPT, Gemini, whatever your agent runs on). Mako handles the web execution.

TinyFish Key Features

Four products share one API key, one Wallet, one dashboard. The point isn't that you have to use all of them. The point is that when the job deepens, you don't have to stitch a new vendor in.

Web Agent: Goal-Based Operation on Real Sites

You send a URL and a plain-English goal ("Log in with these credentials, download the last three invoices, return structured data with amounts and dates"). The Agent navigates, authenticates through Vault + Profiles, handles dynamic pages, and returns structured JSON with an evidence trail.

On the Online-Mind2Web benchmark, TinyFish scores 89.9%, versus 69.0% for Gemini 2.5 Computer Use, 61.3% for OpenAI Operator, and 56.3% for Claude Computer Use. On WebVoyager, TinyFish scores 91.1%, ahead of Browser Use at 88.3%. Benchmarks are verifiable on the TinyFish benchmarks page.

The reason it converts to production work isn't the score alone. It's that a Web Agent run comes with the audit trail (screenshots, logs, source URLs) enterprise buyers need to trust the output.

Search and Fetch: Free Read Path

Search returns agent-ready results with a p50 latency of 556ms — faster than Exa (811ms), Firecrawl (869ms), Tavily (1,109ms), and Parallel (1,709ms) on TinyFish's published eval.

Fetch turns any URL into clean markdown, JSON, or HTML, LLM-ready by default. It handles JavaScript-heavy sites, SPAs, and dynamic content that read-only scrapers miss. On the TinyFish Fetch Quality Eval, 93% of pages returned came back as usable context, versus 80% for Tavily, 73% for Exa, 62% for Firecrawl, and 58% for Parallel.

Both are free: Search up to 30 requests per minute, Fetch up to 150 URLs per minute. No wallet balance required, no plan.

Vault + Profiles: Authenticated Agent Work Without Touching Credentials

Vault stores credentials securely; Profiles carry identity and session state. When an Agent run needs to log into a portal, it uses Vault-held credentials — you never expose them to your reasoning model or your logs. This is what makes a real invoice-download or account-state-check workflow possible.

Read-only tools have no answer to authenticated work; general-purpose CU models have to be handed credentials in the prompt, which is exactly what your security team doesn't want.

See how Vault handles credentials → TinyFish Vault: Your Web Agent Can Now Log In Without Touching Your Passwords.

TinyFish pricing

No plans, no monthly minimum. You fund a Wallet when you need Agent or Browser, and Search and Fetch stay free at any balance. Every Agent run includes LLM inference, residential proxies, anti-bot handling, and stored screenshots and logs — no separate provider bills to chase. Enterprise contracts add concurrency, SSO, audit logs, VPC deployment, ISO 27001, and a 99.99% uptime SLA. Verify current rates on the TinyFish pricing page.

Where TinyFish shines

• Authenticated, multi-step operation that completes: Vault + Profiles + Web Agent, in one platform, is the only combination in this list that finishes a job that requires login, form submission, and proof it happened. The 89.9% Online-Mind2Web score is the current external evidence.
• One platform instead of a stitched stack: Search, Fetch, Browser, and Web Agent share credentials, sessions, and a Wallet. You don't glue a scraper to a proxy vendor to an LLM to a retry loop.
• Pricing you can forecast: Search and Fetch are free with hard rate limits. Agent bills per step, Browser bills per minute. Everything a run needs — LLM inference, residential proxies, anti-bot handling, storage — is included, not stacked as separate line items.

Where TinyFish falls short

• Not the cheapest option for pure high-volume static scraping: If you're pulling 100,000 stable product pages a day from a marketplace and a well-maintained Apify Actor already exists, Actor + Crawlee is more direct. TinyFish's edge shows up when the job needs a browser that decides what to do next.
• Newer than the platform incumbents: Bright Data has 150 million+ residential IPs and a decade of enterprise scraping heritage; Apify has a 4,000-Actor marketplace. TinyFish's investment is in the agent layer and the primitives beneath it, not a scraper marketplace.

TinyFish Customer Reviews

Enterprise customers use Web Agent for workflows read-only tools structurally can't reach.

ClassPass — Jonathan Lam, Senior Program Manager: Agents log into 32,000+ studio systems worldwide, verify class schedules, and flag discrepancies automatically. 98.6% reduction in manual work, 835 venues automated.

"TinyFish builds AI agent solutions that deliver real results. They solve real problems and make a measurable impact" (read the ClassPass story →).

The Zebra — Daniel Herrington, Chief AI Officer: TinyFish agents power the web execution behind The Zebra's insurance comparison quotes, moving through multiple carrier portals and returning structured results in seconds. Quote turnaround dropped from minutes to under 2 minutes end-to-end.

"With TinyFish, workflows that once took minutes now happen in seconds. That speed compounds at scale" (read The Zebra story →).

Who TinyFish is Best For

• Teams building AI agents that need to use websites, not just read them: If your product needs to log in, fill forms, and prove what happened, TinyFish is built for that.
• Enterprises productionizing web workflows: Invoice downloads across signed-in portals, provider-directory verification, regulatory monitoring, market and competitive intelligence at scale — the shape where retrieval-only tools stop.
• Developers on the read-and-extract path who expect the job to deepen: Start on free Search and Fetch, and Web Agent is already there when the workflow needs to log in.

See the 89.9% Mind2Web number on your own workflow. Point TinyFish at the target that keeps breaking your Apify Actor.

Bright Data: Best for Enterprise Proxy Infrastructure

Switch from Apify when: Getting blocked is your primary failure mode and you need IP diversity, not scraping logic.

Bright Data has the biggest proxy network in the industry: 150 million+ IPs across residential, datacenter, mobile, and ISP, in 195 countries. Their Web Scraper API includes 400+ pre-built scrapers for popular targets, with built-in CAPTCHA handling and geo-targeting to city level. On Scrape.do's independent 11-provider benchmark cited by Bright Data's own materials, they lead on success rate against protected sites at 98.44%.

Key Features

Massive proxy network

150M+ residential IPs across 195 countries is the largest in the industry. If your bottleneck is IP diversity or geo-targeting, this is where teams land.

Web Scraper API and pre-built scrapers

Pre-built collectors for hundreds of common targets (marketplaces, social platforms, review sites), so you don't write the scraping logic yourself for the top-100 sites.

Web Unlocker and Scraping Browser

Web Unlocker is a pass-through API that handles proxy rotation, fingerprinting, and CAPTCHA. Scraping Browser is a cloud Chrome instance pre-configured with residential proxies and fingerprint handling — you drive it with Playwright or Puppeteer via CDP.

Pricing

Bandwidth-based pricing means the sticker rate isn't the invoice. Pricing verified August 2026 across third-party reviews; confirm on brightdata.com/pricing before signing.

Where Bright Data Shines

• Success rate on protected sites: Independent benchmarks put Bright Data at the top for hard anti-bot targets. If Cloudflare and PerimeterX are your problem, this is the biggest hammer.
• Enterprise-grade scale: 100M+ IPs, 195 countries, $100M+ ARR. When you need geo-distributed data collection with procurement paperwork on the other side, Bright Data is a safe pick.
• Modular product surface: Proxies, Web Unlocker, SERP API, Web Scraper API, Scraping Browser. Pick the layer, don't buy the whole stack.

Where Bright Data Falls Short

• Pricing complexity: Proxy fees, bandwidth, per-request fees, and scraper fees stack. Modeling a monthly bill requires choosing between residential, datacenter, ISP, and mobile, plus estimating bandwidth. Small teams underestimate this consistently.
• Legacy architecture: The product line reflects a proxy-first, scraping-second heritage. Their agent story is real but adapting; if you're evaluating for agent-shaped work, run your own test against a modern agent-native platform.
• Not AI-native: Data comes back as raw HTML or JSON from their scrapers. You still need parsing, and there's no goal-based agent that decides what to do on the page.

Customer Reviews

On G2, Bright Data sits at 4.7 across 340 reviews as of August 2026.

Positive — Jackson A., Founder: "The quality of the service is incredible, and the customer service is excellent. They also have a vast and stable network, ensuring that the proxy pool remains uncluttered".

Critical — Verified user in Computer Software (May 2026): 5.0 overall, but on pricing: "Entry-level users pay significantly higher unit rates than large enterprises with high committed volumes, which is exactly the opposite of what would actually help smaller teams grow".

Smaller teams often start elsewhere and only graduate to Bright Data once volume justifies the enterprise pricing curve.

Who Bright Data is best for

• Enterprise data teams running millions of pages a month against protected targets: If getting blocked costs more than the tool, Bright Data is table stakes.
• Teams with regulatory or geo-targeting needs: City-level targeting and geographic residential diversity aren't optional at this scale.

Scrapy: Best Free Open-Source Framework

Switch from Apify when: You have Python engineers, need full extraction control, and are scraping stable public site structures at high volume where compute-unit billing adds up.

Scrapy is the default open-source Python framework for large-scale scraping. Over a decade of production use, a massive ecosystem of middleware and plugins, and the ability to run thousands of requests per second on infrastructure you control. It's free, and for teams with engineers to write and maintain spiders, the economics are hard to beat.

Key Features

Async request scheduling

Built on Twisted, Scrapy handles high concurrency out of the box. Request deduplication, retries, and throttling are configurable per-project.

Middleware ecosystem

Ten years of open-source contributions have produced middleware for nearly every real-world need: proxy rotation, retries, robots.txt handling, custom headers, session persistence.

Item pipelines

Structured output flows through pipelines you define: validation, deduplication, export to JSON/CSV/database. Clean separation between extraction and downstream processing.

Pricing

Real costs are compute (typically $50–500/month depending on volume) and residential proxies if you scrape protected targets. Engineering time is the biggest line item most teams underestimate.

Where Scrapy Shines

• Total control: Every aspect of the crawl is configurable — request scheduling, retry policy, deduplication, output format. No black-box behavior.
• Community and longevity: A decade of Stack Overflow answers, plugins, and production war stories. Most edge cases have been solved by someone.
• Cost efficiency at high volume: For teams with engineers scraping stable public sites, Scrapy on self-managed infrastructure is often the cheapest option per page.

Where Scrapy Falls Short

• No JavaScript rendering out of the box: You'll integrate Splash, Playwright, or Selenium yourself. That's another moving part.
• No managed infrastructure: You run it, monitor it, scale it, and fix it when it breaks. Fine if you have DevOps capacity; a liability if you don't.
• No agent capability: Scrapy is a request-and-parse framework. Sites that require login, judgment, or multi-step navigation are outside its shape.

Customer reviews

Scrapy is an open-source framework, not a SaaS product, so it doesn't have a G2, Capterra, or Clutch profile. The credible signals live on GitHub — roughly 57K stars, 10K forks, actively maintained by Zyte since 2008 — and in community threads on r/webscraping and DEV.to.

Positive: Consistent community praise for the async architecture, middleware ecosystem, and reliability at scale on stable targets.

Critical: Recurring critique is the maintenance burden (spiders break when target sites change layouts) and the friction of adding JavaScript rendering, which needs Splash, Playwright, or Selenium bolted on. As one dev wrote on DEV.to, "out of the box Scrapy will also be blocked" by modern TLS fingerprinting on protected sites, "but nothing is stopping you from using curl_cffi in your Scrapy Spider."

Full control, more moving parts.

Who Scrapy is best for

• Cost-sensitive teams with Python engineers: If you have the engineering and the targets are stable, Scrapy remains a strong default.
• Teams needing complete crawl control: Custom request logic, custom deduplication, custom retry policies — Scrapy exposes everything.

ScraperAPI: Best for Simple Proxy + Rendering

Switch from Apify when: You already have extraction logic and the only problem is getting blocked. You don't need a marketplace of Actors.

ScraperAPI sits between "raw proxy provider" and a "full web scraping platform." You send an HTTP request, they handle proxy rotation, JavaScript rendering, CAPTCHA handling, and header management. DataPipeline endpoints let you schedule recurring jobs without managing cron or infrastructure.

Key Features

One-call proxy + JS render + unblock

A single API request goes out, ScraperAPI handles proxy selection, JS rendering, and returns the rendered HTML. That's the whole product surface.

DataPipeline scheduling

For recurring jobs, DataPipeline handles scheduling and output routing so you don't build a cron pipeline yourself.

Geo-targeting

Basic country-level geo-targeting on Hobby and above; more granular on higher plans.

Pricing

Credit consumption varies: a simple page costs 1 credit; JS rendering, premium proxies, and residential IPs consume 5–25 credits per request. Confirm on scraperapi.com/pricing.

Where ScraperAPI Shines

• Simple integration: One HTTP endpoint. If you already have parsers, wiring ScraperAPI in front of them takes an afternoon.
• Reliable rendering: JS rendering works consistently on most public sites, without you managing headless browsers.
• Predictable base pricing: For unprotected targets at the base rate, cost per page is easy to model.

Where ScraperAPI Falls Short

• Returns raw HTML: You still write the parsing. No structured extraction, no markdown, no agent decisions.
• Credit multipliers add up: Once you add JS render, premium proxies, and geo, effective credits per request jump 5×–25×. The Hobby math changes fast.
• No agent capability: Same limit as Scrapy. If the job requires judgment on the page, this isn't the tool.

Customer Reviews

On G2, ScraperAPI sits at 4.3 across 15 reviews.

Positive — John S., Founder: "ScraperAPI has easy to follow documentation, great customer support, and can scrape any website with ease with using their proprietary routing system to scrape the most difficult websites. I recommend without reservation" (source).

Critical — Rojan S., Founder: 3.5 rating, on the credit model: "Everything is well done overall, but the pricing seems a bit off to me. I wish the credits were a bit more affordable" (source).

Several reviewers cite credit costs adding up on premium parameters — matches the multiplier math in the pricing section.

Who ScraperAPI is best for

• Teams with working parsers: If you've built extraction in Python or Node and the only remaining problem is getting blocked, ScraperAPI is the cleanest fix.
• Mid-volume public web scraping: Unprotected or lightly protected targets where the base rate applies.

Octoparse: Best for No-Code Visual Scraping

Switch from Apify when: Your team isn't technical enough to configure Actors, and your targets have predictable layouts.

Octoparse is a point-and-click visual editor for building scrapers without writing code. For non-technical users pulling data from sites with predictable layouts — product listings, job boards, directory pages — the drag-and-drop interface works. The platform includes 600+ templates for popular sites, scheduled extraction, and cloud execution on paid plans.

Key Features

Point-and-click builder

Click through the target site once, define what to extract, run. The tool tracks selectors and handles pagination for simple structures.

Template library

600+ templates for popular targets (marketplaces, review sites, real estate listings) that let non-developers start from a working scraper.

Cloud execution and scheduling

Paid plans run scrapers on Octoparse's cloud with scheduling, so you don't leave a workstation open.

Pricing

Residential proxies and CAPTCHA solving are separate line items on top of the plan. Confirm on octoparse.com/pricing.

Where Octoparse Shines

• True no-code: Non-developers can build a working scraper in an hour. That's a real capability, not a marketing claim.
• Template library: For popular targets, the ready-made templates cut setup time significantly.
• Scheduled cloud runs: For teams that want a scraper on a schedule without managing infrastructure, the paid plans deliver.

Where Octoparse Falls Short

• JavaScript-heavy sites are unreliable: SPAs, infinite scroll, and modern React sites break the visual editor more often than not.
• Windows-only builder: Mac and Linux users need a workaround, which locks out a chunk of the developer audience.
• Add-on costs stack: Residential proxies at ~$3/GB and per-CAPTCHA fees mean the plan price understates the real bill for hard targets.

Customer Reviews

On G2, Octoparse holds 4.8 across 52 reviews, and on Capterra it holds 4.7 across 106 reviews.

Positive — Paul H., Operations and Marketing Officer: "Octoparse allowed me to do a job that would have taken me 20+ hours to scrape all the details off a website in order to create a catalog for our business" (source).

Critical — Mayur K., Project Manager: 5.0 overall, but honest about limits: "Octoparse can improve its AI assistant, as it often doesn't work as expected and struggles with more complex tasks. I also experience cloud extraction issues from time to time, and the overall performance can feel slow during large-scale scraping" (source).

Independent reviewers have flagged a gap between G2/Capterra scores and Trustpilot (roughly 3.9), attributed to incentivized-review programs — worth reading a range of sources before committing.

Who Octoparse is Best For

• Non-technical teams doing low-to-medium volume scraping: If the targets are structurally simple and the volume is modest, Octoparse gets you moving without hiring an engineer.
• Ops teams pulling from directory-style sites: Job boards, review sites, listing directories — the template library covers a lot of these.

Not sure whether you need a scraper or an agent? Run one workflow through both and see.

Crawl4AI: Best Self-Hosted Open-Source Alternative

Switch from Apify when: You need LLM-ready output, Apache 2.0 licensing (no AGPL obligations), and have the DevOps capacity to run your own infrastructure.

Crawl4AI is the Apache 2.0 open-source alternative to Firecrawl's AGPL model. It runs on Docker with Playwright support, delivers LLM-ready markdown, and integrates with multiple LLMs via LiteLLM (OpenAI, Anthropic, local Ollama). Adaptive crawling learns selectors, cutting crawl times on structured sites.

Key Features

Adaptive selector learning

The crawler learns page structure over time, reducing the fragility of hand-written selectors when a target site updates its layout.

LiteLLM integrations

Native support for OpenAI, Anthropic, and local models via LiteLLM. If your data-processing step runs on your own model, that stays in your infrastructure.

Docker + Playwright deployment

Standard containerized setup. Playwright handles JS rendering; you handle the compute.

Pricing

Compute and proxies are your line items. Real infrastructure cost typically runs $50–300/month depending on volume and target difficulty.

Where Crawl4AI Shines

• Apache 2.0 licensing: No AGPL constraints for teams building commercial products on top.
• Self-hosted control: Data stays in your infrastructure. For teams with sovereignty or compliance requirements, this matters.
• LLM-ready output: Markdown by default, structured extraction supported via LiteLLM.

Where Crawl4AI Falls Short

• You run everything: Docker deployment, proxy management, monitoring, scaling — no managed service, no dashboard, no support team.
• No agent capability: Same category limit as Scrapy and ScraperAPI. Adaptive crawling helps with layouts, not with authenticated multi-step operation.
• Community-only support: For production-critical workflows, the lack of a support SLA is a real risk.

Customer Reviews

Crawl4AI is open-source software, so it doesn't have a G2, Capterra, or Clutch profile. The credible signals live on GitHub — roughly 50K stars as of August 2026 — and in maintainer-adjacent writeups.

Positive — Founding maintainer's origin story: The tool was built as a direct answer to paid extraction APIs. "I found one that claimed to be open-source but required creating an account and generating an API token. Worse, it turned out to be a SaaS model charging $16, and its quality didn't meet my standards. Frustrated, I realized this was a deeper problem."

Critical — thunderbit.com review after digging through community forums: "For businesses with in-house technical talent, this can be a cost-effective solution. But for non-technical teams, the time and effort required to get up and running can quickly outweigh the zero-dollar price tag."

No managed service, no dashboard, no support SLA — self-hosting proxies and browsers at scale is a real project.

Who Crawl4AI is Best For

• Engineering teams with data sovereignty or licensing constraints: Apache 2.0 plus self-hosting is the specific combination.
• Cost-sensitive teams with DevOps capacity: If you have the operations bandwidth, the total cost of ownership is low.

No-Code Alternatives: n8n, Browse AI, and Gumloop

If your team doesn't have engineers to maintain custom Actors, a different category of tools handles scraping as part of broader workflow automation. The trade-off is real: you get speed of setup and accessibility, and you give up raw flexibility and scale.

n8n

N8n is an open-source, self-hostable visual workflow builder where scraping is one node among many. You wire HTTP requests, HTML extraction, data transformation, and downstream actions (send an email, write to a database, hit an API) without writing Python. Thousands of community templates cover common scraping tasks. Self-hosted is free; cloud plans start around $24/month. Best for technical-but-not-developer teams who want automation and don't need marketplace scale. TinyFish also ships as an n8n node — see how the TinyFish n8n integration works → TinyFish × n8n: Web Agents Just Landed in Your Workflow Canvas

Browse AI

Browse AI is a point-and-click monitor-and-extract tool. You show it what you want to extract once, and it monitors and pulls that data on a schedule. It handles login flows for sites you authenticate to manually first, which makes it strong for monitoring use cases: price tracking, job listings, competitor pages. Pricing from around $19/month. Best for individuals and small teams doing recurring monitoring on a defined set of targets.

Gumloop

Gumloop is a drag-and-drop AI agent platform with web scraping wired in. Flows connect scraping, LLM processing, and external tools. Their in-product assistant builds workflows from natural-language descriptions. Pricing from around $37/month. Used by teams at Shopify, Instacart, and Webflow for lightweight agent-adjacent workflows. Best for teams that want AI-in-the-loop automation without engineering headcount.

What to Look For in an Apify Alternative

Before you commit, define what you actually need. Most teams switch for one of four reasons, and the right alternative is different for each.

Predictable Pricing

Apify bills by compute unit — RAM × runtime. If you use community Actors, you don't control their memory allocation or efficiency, so the invoice is hard to model. Look for tools with per-page, per-step, per-record, or bandwidth pricing that maps directly to your workload.

TinyFish handles this by billing Search and Fetch at zero, Agent per step (0.016),andBrowserperminute(0.002). Everything a run needs — LLM inference, residential proxies, anti-bot handling, storage — is included in the step rate rather than stacked as separate line items. You fund a Wallet, and you can forecast a workload by counting steps.

AI-Native Output

Raw HTML into an LLM pipeline is a preprocessing tax. Look for tools that output clean markdown or structured JSON by default, and can enforce a schema on the response.

TinyFish Fetch returns LLM-ready markdown, JSON, or HTML by default, on the same call. On the TinyFish Fetch Quality Eval, 93% of fetched pages were usable as context, ahead of Tavily (80%), Exa (73%), and Firecrawl (62%). Cleaner input isn't a nice-to-have — it's directly less spend on model tokens and fewer chances for the model to get distracted by junk.

Authenticated Multi-Step Operation

If your target sits behind a login, requires filling and submitting forms, or needs judgment across pages, no scraper — Actor, Firecrawl, Scrapy, or ScraperAPI — closes the loop. This is where every read-only tool structurally stops.

TinyFish Web Agent is built for this shape. Vault + Profiles handle credentials and identity so the reasoning model never sees a password. The Agent operates the page: navigates, fills forms, handles pagination and filters, and returns structured results with screenshots and logs as evidence. That combination — agent + browser + credentials + storage, in one platform — is the wedge.

Scale You Can Actually Reach

Apify's concurrency caps depend on plan tier and Actor memory. Bright Data has 150M+ IPs but complex pricing at scale. Firecrawl caps concurrent requests by plan.

TinyFish's self-serve tier supports 30 requests/minute on Search, 150 URLs/minute on Fetch, 2 concurrent Agent runs, and 5 concurrent Browser sessions. Enterprise contracts move those limits to your workload, add ISO 27001, VPC deployment, SSO, audit logs, and a 99.99% uptime SLA. TinyFish has demonstrated monitoring 1,000 websites in parallel on the same primitives; scale isn't hypothetical.

One platform. Predictable pricing. Real agent completion. Fund a Wallet only when you need Agent or Browser.

Start building on TinyFish → · Allowance for new accounts: $8. No credit card. No monthly minimum.

Ready to Test an Agent Instead of a Scraper?

Search and Fetch are free at any Wallet balance. Fund the Wallet when you need Agent or Browser, and see if a web agent finishes the workflow your current scraping stack keeps giving up on. Point it at your real target sites — the ones with login pages, filters, and pagination — and compare the run.

Start with $8 in Wallet funds → — no credit card, no plan.

FAQs

1. What is the Best Free Apify Alternative?

It depends on what "free" needs to cover. Scrapy is fully open-source and free forever if you have Python engineers and can self-host. Crawl4AI is the same shape with Apache 2.0 licensing and better LLM-ready output. For managed products, TinyFish's Search and Fetch are free at any Wallet balance (up to 30 requests/min and 150 URLs/min), which covers a real read-and-extract workload without a card.

2. Which Apify Alternative is Best for AI Agents?

TinyFish. It's purpose-built for the shape Apify Actors can't do: log in, navigate a multi-step flow, decide what to do based on the page, and return structured results with proof. On the Online-Mind2Web benchmark, TinyFish scores 89.9%, ahead of Gemini 2.5 Computer Use (69.0%), OpenAI Operator (61.3%), and Claude Computer Use (56.3%). Browser Use is the strongest open-source alternative if you want to run agents locally.

3. Can Firecrawl Replace Apify for Web Scraping?

Sometimes. Firecrawl replaces Apify well when the job is "URL to LLM-ready content" — docs sites, blogs, marketing pages, RAG pipelines. It doesn't replace Apify's Actor marketplace for site-specific structured data, and its /agent endpoint is early relative to a purpose-built agent platform. Many teams keep both: Firecrawl for content extraction, TinyFish for anything that requires operating a page.

4. Is Bright Data Better than Apify?

It depends on the bottleneck. Bright Data is proxy and data infrastructure — 150M+ IPs, geo-targeting, anti-detection at enterprise scale. Apify is a scraping platform with pre-built Actors. Teams that need both often combine Bright Data proxies with Apify Actors or their own Crawlee scripts. Neither replaces an agent platform when the job requires login and multi-step completion.

5. What is the Cheapest Apify Alternative?

Scrapy and Crawl4AI are free, if you count only software cost. Firecrawl's Hobby plan is $16/month for 3,000 credits. TinyFish's Search and Fetch are free at any Wallet balance, and Agent is $0.016/step with no monthly minimum — you only pay for what you run.