TinyFish
TinyFish is a unified web operations platform for AI agents and apps to search the live web, extract structured content, browse dynamic sites, and automate authenticated workflows.
TinyFish provides the infrastructure required for AI systems to reliably search, access, understand, and operate across the live web through a unified platform. Modern AI applications increasingly depend on current web information rather than static datasets alone. But the web was built for human eyes, not for automation. JavaScript rendering, authentication, multi-step workflows, and constantly changing interfaces introduce operational complexity that makes custom automation scripts difficult to maintain and scale. TinyFish addresses these challenges by combining agent-optimized search, structured content extraction, managed browser infrastructure, and autonomous web operation into a single platform. Agents can discover relevant information through live web search, extract clean LLM-ready content from complex websites, render dynamic pages, and automate authenticated workflows without managing browser infrastructure or maintaining brittle automation scripts. Unlike point solutions that focus on only one stage of the workflow, TinyFish supports the complete lifecycle of web interaction—from discovering information to extracting structured data and completing multi-step operations on live websites. This unified approach reduces engineering overhead while improving the reliability of AI applications that depend on real-world web data. The platform is built around principles of accuracy, freshness, reliability, scalability, and operational efficiency. TinyFish carries the entire processing load, so agents receive clean, structured outputs ready to use, results that stay out of your agent's context instead of filling it with raw web content. That reduces retries, lowers token costs, and improves the overall quality of AI-driven workflows. Whether developers are building AI research tools, business intelligence systems, data enrichment workflows, competitive monitoring solutions, or enterprise automation platforms, TinyFish provides the web infrastructure that enables AI agents to interact with the internet as reliably as modern applications interact with databases.
Key Features
- Web search for discovering current web information.
- Structured content extraction from static, dynamic, and JavaScript-heavy websites in Markdown, JSON, or HTML.
- Managed cloud browser infrastructure with browser sessions, scaling, and fingerprinting.
- Goal-based web automation for navigation, form completion, filtering, pagination, and multi-step workflows.
- Authenticated web access with secure credential management through Vault and identity support through Profiles.
- Developer-ready integrations through APIs, SDKs, MCP, CLI and Skills.
Use Cases
- Business continuity: Disaster recovery platform with resilient workflows and critical operations recovery.
- Back-office operations automation: Invoice download and document-workflow automation across back-office processes, including portals that require signing in (Web Agent on Browser + Vault + Profiles).
- Regulatory & policy monitoring: Tracking regulatory sources, public healthcare data (e.g. CMS, Medicaid), and market signals on a recurring schedule.
- Market & competitive intelligence: External market, pricing, and competitive data collection — e.g. automotive, and parts/materials markets such as tires — structured from web listings.
- Real estate & listings: Property/ rental data distribution web sources; listing inventory, price changes, and rental comps, scheduled to stay fresh.
Pros
- Recurring, multi-step agent workflows: Clean Fetch and credit-based pricing make daily and weekly jobs across many pages pay off at volume, the point where per-page crawl pricing strains.
- Live, fresh data on every run: TinyFish hits the live web each time, so your agent reasons over what a page says right now instead of a cached snapshot. For price monitoring, inventory checks, and other time-sensitive work, that freshness decides whether the answer is right.
- Authenticated and gated sources: TinyFish reaches content behind logins, forms, and anti-bot systems through Vault and the Web Agent. Vault connects your password manager so an agent can sign in mid-run without exposing credentials to the model, the surface a crawler leaves untouched.
- Scale and concurrency: TinyFish runs concurrent execution, bulk submission of up to 100 runs per request, and reusable login profiles shared across many agents, so teams reach high volume without building their own orchestration layer.
- Response speed: TinyFish processes web interactions with a medium latency of 556 ms under typical workloads, so agents complete retrieval and action quickly even across large-scale deployments.
Cons
- CAPTCHAs can still interrupt automation: While TinyFish minimizes CAPTCHA triggers through stealth, proxy, and human-like execution strategies, it does not automatically solve reCAPTCHA, hCaptcha, or similar challenges. If a site presents a CAPTCHA, the workflow may need fallback handling, manual review, or a different approach.
- Simple data sources may not require a web agent: If the target content is public, structurally consistent, and easy to access, traditional HTTP requests can be a more efficient choice than a full agent workflow.
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