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TinyFish
TinyFish पर जाएं
tinyfish.ai
TinyFish क्या है?
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.
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.
संक्षेप में
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.
मुख्य विशेषताएं
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.
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.
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.
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.
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.
फायदे और नुकसान
✅ फायदे
- 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.
❌ नुकसान
- 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.
विशेषज्ञ की राय
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.
अक्सर पूछे जाने वाले सवाल
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.
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.
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.
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.
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.