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TinyFish

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TinyFish is an enterprise AI web agent platform that automates browser tasks, data extraction, and multi-step workflows using natural language instructions, stealth sessions, and parallel execution.

Pricing Model
paid
Skill Level
All Levels
Best For
E-commerce & RetailTravel & HospitalitySales & Lead GenerationSoftware Development
Use Cases
Web Data ExtractionBrowser AutomationCompetitive Price MonitoringLead Enrichment
Visit Site
4.5/5
Overall Score
5+
Features
1
Pricing Plans
0
User Reviews
Updated 11 Jul 2026
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What is TinyFish?

TinyFish is an enterprise infrastructure platform for AI web agents that converts plain-English task descriptions into end-to-end browser automation — navigating sites, logging in through authenticated sessions, extracting structured data, and completing multi-step workflows without selectors, XPath, or any code. Backed by $47 million in funding and counting Google, DoorDash, and Amazon among its clients, TinyFish has positioned itself as the web layer that AI agent pipelines call when they need live browser interactions rather than static cached data. The platform's technical differentiation is measurable: browser cold starts complete in under 250 milliseconds compared to the industry standard of 5–10 seconds, and web search latency reaches 488ms via a custom Chromium engine. Anti-bot mechanisms operate at the C++ level rather than through JavaScript injection, which significantly reduces detection risk on sites running advanced bot protection. For teams monitoring competitor pricing across 50 e-commerce sites or extracting lead data from conference directories, these performance and stealth characteristics translate directly into reliability on the sites that matter most. Pricing is transparent and all-inclusive — LLM inference, remote browsers, residential proxies, and anti-bot costs are bundled rather than billed separately. As of May 2026, the Pay-as-you-go tier charges $0.015 per step with 2 concurrent agents; the Starter plan ($15/month) provides 1,650 steps and 10 concurrent agents; the Pro plan ($150/month) scales to 16,500 steps and 50 concurrent agents. Search and page fetching are free on all plans. TinyFish is not the right tool for pages that are static, structurally stable, and publicly accessible — traditional scrapers like Scrapy cost less per operation on those targets and perform with full determinism. The platform's CAPTCHA limitation is the clearest current boundary: sites that require CAPTCHA completion as part of their flow cannot be automated end-to-end with TinyFish today. Teams building production workflows around CAPTCHA-protected targets will need a hybrid approach that routes those specific steps to human-in-the-loop handling.

TinyFish is an enterprise AI web agent platform that automates browser tasks, data extraction, and multi-step workflows using natural language instructions, stealth sessions, and parallel execution.

TinyFish is widely used by professionals, developers, marketers, and creators to enhance their daily work and improve efficiency.

Key Features

1
Natural language control
TinyFish accepts task goals written in plain English — no CSS selectors, XPath queries, or Playwright scripts required. This removes the principal technical barrier to web automation for non-developer users, while still providing API and MCP access for engineering teams that want to call TinyFish from within agent pipelines or code-based workflows. A sales operations analyst can define a lead extraction task in one sentence.
2
Live execution streaming
Every TinyFish agent run streams real-time browser events, screenshots, and action logs as it executes. This observability is directly practical for production debugging — when an agent encounters an unexpected page state, the screenshot and event history make the failure point immediately visible rather than requiring re-run analysis from log files. Run history is stored for 30 days on Starter and 180 days on Pro.
3
Stealth and proxy options
TinyFish's anti-bot protection operates at the C++ level rather than through JavaScript injection, bypassing detection layers that flag browser fingerprinting via JS. Residential proxy support with geo-targeting enables extraction from sites that restrict access by geography. These capabilities are bundled into all paid plans at no separate proxy or anti-bot line item — a meaningful cost difference from self-hosted alternatives that bill proxy bandwidth separately.
4
Parallel agent runs
Starter plans support 10 concurrent agents; Pro plans scale to 50 simultaneous sessions. For teams monitoring pricing across dozens of competitor sites, extracting conference attendee lists, or testing product availability across regional domains simultaneously, parallel execution reduces total job completion time from hours to minutes without requiring infrastructure management.
5
Workbench, API, and MCP access
TinyFish provides three access layers: a visual workbench for building and testing workflows interactively, a direct API for integration into custom applications, and MCP (Model Context Protocol) support for use as a native skill within Claude, Cursor, and other MCP-compatible AI coding agents. CLI-based execution achieves an 87% token reduction per operation compared to standard MCP routing, which matters for teams running high-frequency agent calls.

Pros & Cons

✓ Pros (4)
Works on messy real-world websites TinyFish handles JavaScript-heavy single-page applications, multi-step authentication flows, and dynamically rendered content that breaks selector-based scrapers. For teams whose data sources include modern e-commerce platforms, SaaS portals, and gated industry databases, this resilience is the primary reason to choose a web agent over a traditional scraping approach.
Built for scale With up to 50 concurrent agents on the Pro plan and credits that scale to Enterprise for higher volumes, TinyFish is architected for production workloads — not single-run data pulls. Teams running daily monitoring workflows across hundreds of targets can do so without managing browser infrastructure, proxy rotation, or agent scheduling independently.
Good observability Real-time streaming, browser previews, screenshot capture, and run history logs make TinyFish debugging significantly faster than black-box automation tools. When a workflow fails or produces unexpected output, the full execution trace is immediately available — reducing the iteration time for fixing agent behavior on edge-case pages.
Clear cost structure All costs including LLM inference, remote browser time, residential proxy data, and anti-bot handling are bundled into TinyFish's per-step pricing. This all-inclusive structure makes it straightforward to model cost at scale, unlike competitors that bill LLM tokens, proxy bandwidth, and browser session minutes as separate variable line items.
✕ Cons (3)
Not especially beginner-first TinyFish's product documentation, onboarding materials, and use-case examples are written for developers, ops leads, and technical teams. Non-technical users — marketing managers or sales representatives without API or workflow automation experience — will find the setup process and agent debugging workflow significantly steeper than consumer automation tools.
CAPTCHA handling is still limited TinyFish explicitly does not support automatic CAPTCHA solving as of May 2026. Workflows that encounter CAPTCHA checkpoints during execution cannot complete autonomously, which is a hard blocker for any production use case on e-commerce checkout flows, account creation paths, or site login pages that deploy CAPTCHA as standard anti-bot protection.
Public integration detail is fairly light While TinyFish clearly supports API, MCP, and CLI access, the public documentation exposes fewer pre-built application-specific workflow templates than some automation competitors. Teams looking to deploy against specific platforms like Shopify, SAP, or industry-specific portals will likely need to build their own workflow patterns rather than finding platform-specific starting templates.

Who Uses TinyFish?

E-commerce and retail teams
Retail and marketplace teams use TinyFish for daily competitor pricing sweeps, product availability checks, and checkout flow monitoring across competitor sites. Rather than maintaining brittle scraper scripts that break when site layouts change, teams define monitoring goals in natural language and let TinyFish adapt to structural changes automatically.
Travel and hospitality businesses
Hotels, OTAs, and hospitality operators use TinyFish to monitor rate parity across booking platforms, extract competitor inventory signals, and verify that their own listings appear correctly on third-party channels. Geo-targeted proxy support enables accurate rate checks from the geographic regions relevant to each property's demand patterns.
Sales and lead generation teams
Sales development teams use TinyFish to extract structured contact and company data from conference sites, industry directories, and public professional listings. The platform's ability to handle authenticated sessions enables extraction from sources that require login access — expanding the scope of automatable lead research beyond purely public pages.
Developers and operations teams
Engineering and DevOps teams integrate TinyFish via its REST API and MCP interface to embed web automation capabilities directly into agent pipelines and CI workflows. The 87% token reduction from CLI-based execution makes it economically practical to call TinyFish as a web skill from within AI coding agents like Claude Code or Cursor without incurring prohibitive LLM costs per operation.
Uncommon use cases
Sports analytics organizations have used TinyFish to aggregate player and performance data across global scouting platforms that lack public APIs. Healthcare organizations have used it to unify patient-facing portal data from multiple fragmented regional health systems into structured feeds, handling the authenticated, multi-step navigation that static scrapers cannot manage.

TinyFish vs Lutra AI vs Convergence vs Illumex

Detailed side-by-side comparison of TinyFish with Lutra AI, Convergence, Illumex — pricing, features, pros & cons, and expert verdict.

Compare
TinyFish
Paid
Visit ↗
Lutra AI
Freemium
Visit ↗
Convergence
Free
Visit ↗
Illumex
unknown
Visit ↗
💰Pricing
PaidFreemiumFreeunknown
Rating
🆓Free Trial
Key Features
  • Natural language control
  • Live execution streaming
  • Stealth and proxy options
  • Parallel agent runs
  • Effortless Automation with Natural Language
  • AI-Driven Data Extraction and Enrichment
  • Pre-Integrated for Quick Deployment
  • Secure and Reliable
  • Natural Language Processing
  • Task Automation
  • Web Interaction
  • Parallel Processing
  • Augmented Analytics Creation
  • Suggestive Data & Analytics Utilization Monitoring
  • Automated Knowledge Documentation
  • Semantic AI-Enabled Data Fabric
👍Pros
TinyFish handles JavaScript-heavy single-page applicati
With up to 50 concurrent agents on the Pro plan and cre
Real-time streaming, browser previews, screenshot captu
Describing a workflow in plain English and having it ex
Data extraction and enrichment tasks that take an analy
Pre-built connections to Airtable, Slack, HubSpot, Goog
Proxy handles the full execution of delegated tasks aut
At $20 per month for the Pro tier, Convergence provides
Natural language task setup removes the technical barri
Illumex's live duplication detection and semantic asset
By maintaining a single, semantically consistent defini
The platform's semantic layer grows more contextually a
👎Cons
TinyFish's product documentation, onboarding materials,
TinyFish explicitly does not support automatic CAPTCHA
While TinyFish clearly supports API, MCP, and CLI acces
Users new to automation concepts may initially write in
Workflows connecting to tools outside Lutra's pre-integ
Users unfamiliar with AI agent delegation often underus
The free plan caps the number of Proxy sessions and aut
Proxy's ability to execute web-based tasks is entirely
Data contributors unfamiliar with semantic data platfor
Illumex's enterprise positioning places it at a price p
Illumex's semantic integration layer maps relationships
🎯Best For
E-commerce and retail teamsE-commerce BusinessesBusy ProfessionalsFinancial Institutions
🏆Verdict
TinyFish is the clearest choice for teams that need high-vol…
For digital marketing agencies and financial analysts runnin…
For busy professionals managing high volumes of repetitive o…
For telecommunications companies and financial institutions …
🔗Try It
Visit TinyFish ↗Visit Lutra AI ↗Visit Convergence ↗Visit Illumex ↗
🏆
Our Pick
TinyFish
TinyFish is the clearest choice for teams that need high-volume, reliable web automation on authenticated and dynamic si
Try TinyFish Free ↗

TinyFish vs Lutra AI vs Convergence vs Illumex — Which is Better in 2026?

Choosing between TinyFish, Lutra AI, Convergence, Illumex can be difficult. We compared these tools side-by-side on pricing, features, ease of use, and real user feedback.

TinyFish vs Lutra AI

TinyFish — TinyFish fills the gap between static web scraping and full human browser operation, giving AI agents and developer teams a reliable, observable way to interact

Lutra AI — Lutra AI is an AI Agent that executes multi-step data workflows autonomously based on natural language input, with pre-built connections to Airtable, Slack, Goo

  • TinyFish: Best for E-commerce and retail teams, Travel and hospitality businesses, Sales and lead generation teams, Dev
  • Lutra AI: Best for E-commerce Businesses, Digital Marketing Agencies, Research Institutions, Financial Analysts, Uncomm

TinyFish vs Convergence

TinyFish — TinyFish fills the gap between static web scraping and full human browser operation, giving AI agents and developer teams a reliable, observable way to interact

Convergence — Convergence is an AI Agent that autonomously handles repetitive online tasks — browsing, form-filling, data aggregation, and scheduled workflows — through its n

  • TinyFish: Best for E-commerce and retail teams, Travel and hospitality businesses, Sales and lead generation teams, Dev
  • Convergence: Best for Busy Professionals, Managers, Researchers, Developers, Uncommon Use Cases

TinyFish vs Illumex

TinyFish — TinyFish fills the gap between static web scraping and full human browser operation, giving AI agents and developer teams a reliable, observable way to interact

Illumex — Illumex is an AI Tool that applies semantic intelligence to enterprise data management, automating metric documentation and preventing the analytical duplicatio

  • TinyFish: Best for E-commerce and retail teams, Travel and hospitality businesses, Sales and lead generation teams, Dev
  • Illumex: Best for Financial Institutions, Healthcare Providers, Retail Chains, Telecommunications Companies, Uncommon

Final Verdict

TinyFish is the clearest choice for teams that need high-volume, reliable web automation on authenticated and dynamic sites — particularly where AgentQL or Playwright-based solutions require ongoing maintenance when page structures change. The primary limitation is CAPTCHA: any workflow that hits CAPTCHA-protected checkpoints cannot yet run fully autonomously, which is a hard stop for some e-commerce and travel automation use cases.

FAQs

5 questions
How much does TinyFish cost in 2026?
TinyFish offers a Pay-as-you-go tier at $0.015 per step with no monthly minimum. The Starter plan is $15 per month for 1,650 steps and 10 concurrent agents. The Pro plan is $150 per month for 16,500 steps and 50 concurrent agents. All plans include bundled LLM inference, proxy, and anti-bot costs. Web search and page fetching are free on every plan.
Can TinyFish handle authenticated websites?
TinyFish supports authenticated browser sessions, managing cookies and session identity consistently across multi-step workflows. This enables automation on sites that require login, including SaaS platforms, industry portals, and gated directories. However, sites that require CAPTCHA completion as part of authentication currently cannot be handled automatically.
Does TinyFish work with Claude and other AI coding agents?
TinyFish is MCP-native and works as a web skill inside Claude, Cursor, and any MCP-compatible AI coding agent. CLI-based execution reduces token usage by 87% compared to standard MCP routing. This makes it practical to call TinyFish as a real-time web capability from within agent pipelines without incurring disproportionate LLM inference costs per operation.
When is TinyFish the wrong tool for web automation?
TinyFish is not cost-effective for pages that are static, publicly accessible, and structurally stable over time. A Wikipedia article or a government data portal with unchanged HTML is better served by a traditional Scrapy spider, which is deterministic, costs nothing beyond compute, and outperforms AI agents on those specific targets on both speed and cost per page.
Who are TinyFish's enterprise clients?
TinyFish counts Google, DoorDash, Amazon, and ClassPass among its clients as of 2026. The company has raised $47 million in total funding, with backing from Mango Capital and U.S. Venture Partners. The TinyFish Accelerator program provides $2 million in funding for early-stage companies building web-automation-dependent products on the platform.

Expert Verdict

Expert Verdict
TinyFish is the clearest choice for teams that need high-volume, reliable web automation on authenticated and dynamic sites — particularly where AgentQL or Playwright-based solutions require ongoing maintenance when page structures change. The primary limitation is CAPTCHA: any workflow that hits CAPTCHA-protected checkpoints cannot yet run fully autonomously, which is a hard stop for some e-commerce and travel automation use cases.

Summary

TinyFish fills the gap between static web scraping and full human browser operation, giving AI agents and developer teams a reliable, observable way to interact with live, authenticated, and dynamic websites at scale. Its all-inclusive pricing model removes the billing complexity common in usage-based tools, and its client roster validates its performance on real enterprise workloads. The CAPTCHA limitation and the technical orientation of its setup materials mean it is better matched to developer and ops-heavy teams than to non-technical end users seeking a push-button automation tool.

It is suitable for beginners as well as professionals who want to streamline their workflow and save time using advanced AI capabilities.

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