The Tool Desk
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How BrowserAct turns a request into a reusable Bot
BrowserAct’s getting-started guide, published July 27, 2026, describes an Agent that interprets a natural-language data request, explores the live website, tests the extraction and creates a reusable Bot if the test succeeds. In the guide’s words, “BrowserAct Agent-built turns a natural-language data request into a tested, reusable Bot that extracts structured data from complex websites.” That is the company’s product description, not independent validation.
1. Specify the source, records and fields
Give the Agent enough detail to distinguish the records you want from everything else on the site. Name the starting website, the type of records, relevant search terms, locations, categories or other filters, and the exact fields to return. For example, a request might identify a business directory, ask for businesses matching specified categories in a chosen region, and list the fields needed for each record.
Be explicit about the desired coverage too: whether the task should follow filters, tabs, pagination, scrolling or links to detail pages. A Bot can only be judged against the records and fields the request actually defines.
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2. Let the Agent explore and test
BrowserAct says its Agent explores the live site and works through supported filters, tabs, pagination, scrolling and detail pages before testing the extraction. If the test succeeds, it creates the Bot. Review the actual inputs and returned data in run history rather than treating a successful build as proof that every requested record was captured.
3. Inspect, update and publish
Check that the inputs used match your request and that returned records contain the fields and coverage you need. If the target site, requested fields, conditions or page coverage changes, ask for an update, test the modified Bot, then publish the draft as the current version for future runs. BrowserAct’s guide describes this as repeating the same research task with different keywords, regions, categories or URLs.
How to run the Bot again and deliver results
Once a Bot has been tested, BrowserAct says it can be run again and its results delivered as CSV, JSON, through an API or by webhook. The documented integration options include Make, n8n and Zapier. The guide gives schedules, webhooks, form submissions and record updates as examples of triggers for repeated runs.
Use the API for custom execution
According to the setup guide, the Bot must be present in the dashboard and have completed at least one successful test. Create an API key, keep it private, provide the Bot ID as workflow_id, and pass the required input parameters to the documented run-task endpoint. The API suits custom applications, backend services and scripts. Never put a secret API key in a public repository or client-side code.
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Make, n8n and Zapier provide visual routes for connecting a Bot run to other apps with little or no custom code. A schedule can start recurring collection; a webhook, form submission or record update can start a run when an event occurs. The appropriate trigger depends on when the source data needs refreshing and what should happen to the resulting records.
Choose between Bot-Agent and Bot Workflow
BrowserAct’s pricing page, checked October 3, 2026, distinguishes two Bot styles. They differ both in how the task is defined and how the published credit figures apply.
| Mode | How it works | BrowserAct-published credit figures | Best fit |
|---|---|---|---|
| Bot-Agent | AI understands the website and builds an adaptive Bot. | For a simple task, BrowserAct estimates 300–500 credits to build and 10–20 per run. For a complex task, it estimates 800–1,500 to build and 20–30 per run. | Tasks where the Agent’s site understanding and adaptation are useful. |
| Bot Workflow | Executes predefined browser steps. | 3 credits per executed step on the pricing page reviewed. | Tasks whose browser actions can be laid out as predictable steps. |
The Bot-Agent figures are estimates, not guaranteed costs; BrowserAct says actual use can vary by site and task. Bot Workflow’s listed charge is per executed step, so it is not directly comparable to the Agent’s per-run estimate without knowing how many steps the task executes. All figures are BrowserAct-published usage information, not independent measurements.
Choose where execution runs: Cloud SaaS or Local CLI
The same pricing page distinguishes managed cloud execution from local execution. Consider who should operate the runtime, how much operational control you need and whether the task uses optional browser or proxy services.
| Execution option | Where it runs | Runtime and service charges described by BrowserAct | Operational trade-off |
|---|---|---|---|
| Cloud SaaS | BrowserAct-managed cloud browsers. | Runs in BrowserAct’s managed cloud environment. | Suited to workflows that need managed, around-the-clock cloud operation. |
| Local CLI | On the user’s machine. | No BrowserAct runtime fee; credits apply to optional browser or proxy services used with Local CLI. | Offers local execution and control, while the user handles the local operating environment. |
Task predictability and expected run volume also matter: compare the Bot’s build and execution model with the work it will perform, rather than choosing solely by the headline credit figure.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What BrowserAct’s current pricing page says
As displayed on BrowserAct’s pricing page on October 3, 2026, the free plan included 200 signup credits, two free Agent builds, two simultaneous tasks and five free local browsers. The page also displayed paid Basic, Essential and Advanced plans, and a seven-day trial for eligible new users. Plan details and availability can change; check the live pricing page before signing up.
The task and step credit figures above are the page’s published estimates and charges, not a promise of the cost for a particular site. The available figures do not establish extraction accuracy, uptime or a verified success rate for recovery after a site changes.
Reliability claims need to be treated as claims
BrowserAct advertises browser infrastructure management, proxies, CAPTCHA handling, scheduling, browser sessions and recovery after page changes. Its homepage describes fresh or persistent signed-in sessions and says its system can find data again after a layout change. These are vendor statements about its feature set; they do not establish that a particular login, CAPTCHA, target website or layout change will be handled successfully.
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Quick Recap
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