TinyFish logo

TinyFish

Freemium

Browse sites, pull data, and finish workflows.

4.3
Inputs: text, urlOutputs: text, code
Starting Price
$15/mo
Type
Saas
LinksX
TinyFish screenshot

About TinyFish

TinyFish is an AI web agent tool built for teams that need live web actions rather than static scraped data. It turns plain-English goals into browser actions, then navigates websites, logs in, extracts data, and completes workflows through a visual workbench or API. It is aimed more at developers, ops teams, and enterprise workflows than casual users, and that focus is part of its appeal.

Key Features

  • Natural language control: Users describe a task in plain English instead of writing selectors or XPath.
  • Live execution streaming: Runs can be watched in real time with streaming events and browser previews.
  • Stealth and proxy options: TinyFish offers anti-detection browser modes and geo-targeted proxy support for harder sites.
  • Parallel agent runs: Plans support from 2 to 50 concurrent agents for higher-volume workflows.
  • Workbench, API, and MCP access: Teams can build visually or connect TinyFish to code-based and assistant-driven workflows.

Pros

  • Works on messy real-world websites: It supports dynamic sites, authenticated systems, and multi-step workflows.
  • Built for scale: TinyFish is clearly made for repeated, high-volume web operations, not one-off tinkering.
  • Good observability: Screenshots, run history, and live previews make debugging far less annoying.
  • Clear cost structure: Browser, proxy, LLM, and anti-bot costs are bundled, which is refreshingly less sneaky than many usage-based tools.

Cons

  • Not especially beginner-first: The product language and setup lean toward technical or workflow-heavy teams.
  • CAPTCHA handling is still limited: TinyFish states CAPTCHAs cannot currently be solved automatically.
  • Public integration detail is fairly light: API and MCP support are clear, but the site exposes fewer ready-made app details than some rivals.

Use Cases

  • E-commerce and retail teams: For product matching, pricing checks, and checkout monitoring.
  • Travel and hospitality businesses: For hotel availability, rate monitoring, and property data collection.
  • Sales and lead generation teams: For structured lead extraction from conference and company websites.
  • Developers and operations teams: For browser automation through APIs, async runs, and agent-based workflows.
  • Uncommon use cases: Sports scouting across global sources and healthcare portal unification stand out as more unusual but very fitting uses.

Pricing

Pay-as-you-go: $0.015 per step. Includes 2 concurrent agents, remote browser at $0 per hour, residential proxy at $0 per GB, all LLM costs included, anti-bot protection, 30-day run history, and email support. Starter: $15 per month. Includes 1,650 steps per month, 10 concurrent agents, remote browser at $0 per hour, residential proxy at $0 per GB, all LLM inference costs included, anti-bot protection, 30-day run history with observability and screenshots, priority email support, and TinyFish Workbench, API, and MCP integration. Overage is $0.014 per step. Pro: $150 per month. Includes 16,500 steps per month, 50 concurrent agents, remote browser at $0 per hour, residential proxy at $0 per GB, all LLM inference costs included, anti-bot protection, 180-day run history with observability and screenshots, priority email plus Slack/Discord community access, and TinyFish Workbench, API, and MCP integration. Overage is $0.012 per step. Enterprise: Custom pricing. Includes custom workflows, custom step volume, custom concurrent agents, custom auditability, advanced security and compliance, dedicated support engineer, custom SLA and contracts, and on-premise deployment options. Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official TinyFish website.

What Makes It Unique

TinyFish stands out by focusing on enterprise-grade web agents that can act on live sites, not just read them. The combination of natural-language control, anti-bot tooling, authenticated workflow support, observability, and high concurrency gives it a strong position for companies that need web automation to hold up in production.

Ratings

Accuracy and Reliability: 4.4/5 Ease of Use: 4.1/5 Functionality and Features: 4.6/5 Performance and Speed: 4.5/5 Customization and Flexibility: 4.5/5 Data Privacy and Security: 4.1/5 Support and Resources: 4.2/5 Cost-Efficiency: 4.3/5 Integration Capabilities: 4.0/5 Overall Score: 4.3/5

Key Features

Natural language control: Users describe a task in plain English instead of writing selectors or XPath.
Live execution streaming: Runs can be watched in real time with streaming events and browser previews.
Stealth and proxy options: TinyFish offers anti-detection browser modes and geo-targeted proxy support for harder sites.
Parallel agent runs: Plans support from 2 to 50 concurrent agents for higher-volume workflows.
Workbench, API, and MCP access: Teams can build visually or connect TinyFish to code-based and assistant-driven workflows.

Pros & Cons

Pros
  • Works on messy real-world websites: It supports dynamic sites, authenticated systems, and multi-step workflows.
  • Built for scale: TinyFish is clearly made for repeated, high-volume web operations, not one-off tinkering.
  • Good observability: Screenshots, run history, and live previews make debugging far less annoying.
  • Clear cost structure: Browser, proxy, LLM, and anti-bot costs are bundled, which is refreshingly less sneaky than many usage-based tools.
Cons
  • Not especially beginner-first: The product language and setup lean toward technical or workflow-heavy teams.
  • CAPTCHA handling is still limited: TinyFish states CAPTCHAs cannot currently be solved automatically.
  • Public integration detail is fairly light: API and MCP support are clear, but the site exposes fewer ready-made app details than some rivals.

Best For

E-commerce and retail teams: For product matching, pricing checks, and checkout monitoring.Travel and hospitality businesses: For hotel availability, rate monitoring, and property data collection.Sales and lead generation teams: For structured lead extraction from conference and company websites.Developers and operations teams: For browser automation through APIs, async runs, and agent-based workflows.Uncommon use cases: Sports scouting across global sources and healthcare portal unification stand out as more unusual but very fitting uses.

Alternatives to TinyFish

FAQ

What is TinyFish?
TinyFish is an AI web agent platform that lets teams turn plain-English goals into live browser actions. It provides APIs for search, content fetching, and multi-step automation, along with a visual workbench. It is designed for developers and enterprise workflows.
Is there a free tier?
The website states that Search and Fetch APIs are free and use no credits on every plan. Exact limits of the free tier (e.g., request caps, concurrency) should be verified on the pricing page.
How does the Search API differ from other search APIs?
TinyFish's Search API returns fresh, real-time results from the live web (not cached) and renders dynamic pages in a real browser, outputting structured JSON. It is built for use cases like monitoring price shifts or earnings reports.
Can TinyFish handle authenticated websites and form filling?
Yes, the Web Agent can log into sites, navigate pages, fill forms, and return structured results. It uses real browser sessions (Browser Stealth) for such tasks.
Do I need coding skills to use TinyFish?
The platform offers both an API (requiring coding skills) and a visual workbench for building workflows without code. However, the tool is primarily aimed at developers and technical teams.
What outputs does TinyFish provide?
Outputs depend on the API used: Search returns JSON; Fetch returns markdown, JSON, or HTML; and Web Agent returns structured data extracted from the target page. All outputs are designed to be token-efficient for AI models.