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Not every workflow has an API. Government portals, legacy procurement systems, web applications built before REST existed, and third-party tools your vendor will never add an API to, all of them can be automated through the browser the same way a human would use them.
We build browser automation agents using Playwright for deterministic workflows and Stagehand or Skyvern for dynamic pages that require visual judgment. The right tool depends on how predictable the target UI is and what the cost of maintenance looks like over time.
Every agent we build runs headlessly in production, has structured error handling with screenshot capture on failure, and is deployed to infrastructure you control, not a third-party RPA platform that charges per run and owns your workflows.
Tell us what you're building.
Four categories of browser automation we scope and build regularly.
Playwright-based scrapers for predictable, stable web UIs. We build the selector strategy, pagination handling, rate-limit compliance, and incremental update logic. These run reliably in headless environments without AI overhead.
When the page structure changes, changes depending on user state, or requires judgment to navigate, we use Stagehand or Skyvern. The agent sees the page the way a human does. It adapts when the UI shifts instead of breaking on a stale selector.
Automated form completion for high-volume data entry workflows, permitting portals, government systems, procurement platforms, and any web application where manual entry is the current process and no API exists.
Agents that open multiple pages, gather structured data from each, synthesize it, and write a consolidated output. Research workflows, competitive monitoring, and data aggregation from sources without APIs.
We use the right tool for the problem, not the newest one or the one with the best marketing.
UI is stable and predictable. Selector-based automation is reliable and you want no AI overhead at inference time.
UI is dynamic or changes frequently. The agent interprets the page visually and adapts, no selector maintenance.
Complex multi-step workflows where each step requires understanding what's on screen and making decisions about what to do next.
We run a proof of concept against the actual target site before scoping the full build, because site-specific complexity cannot be estimated from a description alone.
01
We document every step of the target workflow: what pages, what actions, what data is extracted or entered. Then we recommend Playwright, Stagehand, Skyvern, or a hybrid approach based on UI predictability and the cost of maintenance.
02
Before we scope the full build, we validate the approach against the actual target site. Some sites actively resist automation. We surface that risk early so you can decide whether to proceed.
03
We build the full agent with timeouts, retry logic for flaky pages, screenshot capture on failure for debugging, and structured output validation so bad extractions fail loudly rather than silently.
04
We deploy to a headless infrastructure you control, set up scheduled runs or trigger-based execution, and wire up alerting for failures. You see every run result and can inspect failures with screenshots.
Anyone can record a script that works once. The reason most browser automation gets quietly abandoned is that it was never built to survive an unattended Tuesday. Four things separate a one-off from something you can leave running.
Failure is loud, not silent. The dangerous failure is the one that returns plausible but wrong data and posts it to your system as if it were fine. We validate every extraction against an expected shape, capture a screenshot on any failure, and make the run fail visibly rather than corrupt your data quietly. A broken run should page someone, not poison a table.
The deterministic-versus-AI choice is a cost decision. Playwright is cheap and fast but breaks when selectors change. AI-guided navigation adapts to UI changes but costs more and runs slower per step. The right answer depends on how often the target changes and how high the volume is, so we make that call on your numbers and often use a hybrid: deterministic on the stable path, AI on the parts that drift.
Sessions, logins, and state are handled deliberately. Real workflows sit behind authentication, expire mid-run, and depend on prior state. We build session handling, credential storage your security team approves, and resumability so a job that dies halfway picks up cleanly rather than starting over or double-submitting. These details are most of the engineering and none of the demo.
You can see what it did. An unattended agent you cannot inspect is a liability. Every run logs its steps and outcomes, keeps screenshots of failures for debugging, and reports success and failure rates over time, so when the target site redesigns next quarter you get an alert and a clear diagnosis instead of a silent gap in your data.
Browser automation is the right tool when there is no API. When there is an API, use it.
Teams where the target site has a public API
Browser automation is more fragile and more expensive to maintain than an API integration. If the data or action you need is accessible via a documented API, use the API. We will point this out during scoping if it applies.
Teams targeting sites that prohibit automation in their ToS
We do not build automation against sites whose Terms of Service prohibit it. We review the target site's ToS during scoping and flag this before starting work.
Tell us the target site or application, the workflow you want to automate, and what the output should be. We'll reply within one business day with a feasibility assessment and rough scope.