Skip to main content
AIDiveForge AIDiveForge

BrowserAct vs Onpilot

BrowserAct and Onpilot are both workflow automation tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

BrowserAct

BrowserAct

The core loop is prompt-in, structured-data-out: describe what you need, the agent builds and tests a Bot, then publishes it as a reusable scraper you can trigger from Make, n8n, or Zapier. Built-in residential proxies and CAPTCHA handling mean protected pages are reachable without assembling your own infrastructure. The local agent option lets teams run browsers on their own hardware when data cannot leave the building. The ceiling appears when your extraction logic requires conditional branching across multiple page types — the prompt interface has no canvas for that, so complex workflows still need a surrounding orchestration layer. Community ratings on G2 sit at 4.6, suggesting the core promise holds for straightforward collection tasks.

Onpilot

Onpilot

The platform connects agents to ERP, CRM, support tools, and custom APIs, then layers in approval steps, permission scopes, and audit logs so the agent cannot act unilaterally on sensitive operations. Agents can search, reason, take action, and hand off to a human — the approval step pauses execution and sends an interactive Slack message before anything ships. Multi-tenant architecture means a single deployment can serve isolated customer or plant workspaces with per-tenant access control. Where it breaks: Onpilot is a custom-built, consultative engagement, not a self-serve platform you configure over a weekend — teams without clear workflow documentation will stall during scoping.

AttributeBrowserActOnpilot
PricingPaidPaid
Free trial7 daysNo
Open sourceYesNo
Has APIYesYes
Self-hosted optionYesYes
PlatformsCloud, Local Agent (browser)
Pros
  • Prompt-only Bot creation, so a team member without CSS or XPath knowledge can ship a working scraper without waiting on engineering — eliminating the selector-maintenance backlog that accumulates every time a monitored site updates its front end.
  • Mid-run adaptation to page changes, which means a scheduled Monday competitor-pricing pull does not silently return zero rows because the target site reorganized its layout over the weekend.
  • Built-in residential proxies and CAPTCHA handling, so reaching protected or geo-restricted pages does not require assembling a separate proxy rotation service before the scraper can be tested.
  • Local agent execution option, so data that cannot leave your network stays on your hardware while still using the same Bot interface — avoiding the compliance conversation that blocks cloud-only scraping tools.
  • Native trigger endpoints for Make, n8n, and Zapier, so scraped data flows directly into existing automation pipelines without a custom API integration step.
  • Approval gates pause agent execution and collect explicit sign-off via Slack before sensitive actions dispatch, so your operations team stays in control of decisions that cost money or trigger downtime — without building that logic themselves.
  • Per-tenant workspace isolation with SSO and SCIM support means a single Onpilot deployment can serve multiple plants or customers with no data bleed between tenants, which removes the need to stand up separate infrastructure per client.
  • Agents connect to custom APIs and OpenAPI-described tools alongside named integrations, so a workflow that spans SAP, a bespoke MES, and a third-party quality system does not require the vendor to have a pre-built connector for each one.
  • White-label embedding lets SaaS or internal dashboard teams surface agents under their own product interface, so end users never interact with a third-party tool and the agent feels native to the existing workspace.
  • Audit logs capture every agent action with run counts, error rates, token usage, and the user who triggered each workflow — which means compliance and incident review have a traceable record rather than a black box.
Cons
  • Conditional extraction logic — branching based on what a prior page returned, or following different paths depending on live data values — cannot be expressed through the prompt interface. Teams with multi-path scraping workflows end up wrapping Bots in an external automation layer, effectively maintaining two systems.
  • The local agent requires the CLI, which adds a setup and dependency management step that cloud-only teams did not budget for. When something breaks at the OS or browser version level, there is no managed environment to roll back to.
  • Teams whose scraping volume or proxy region requirements exceed the freemium tier hit a paid-only gate. If the cost-per-run at scale exceeds what a self-hosted Playwright or Puppeteer cluster would cost to operate, engineering leads switch to managing their own browser infrastructure and drop BrowserAct entirely.
  • There is no self-serve trial or sandbox: getting an agent running requires joining a waitlist and going through a consultative scoping engagement. Teams that need to validate fit before committing engineering time to a vendor process cannot do that here — they go to a no-code builder like Zapier or a self-hosted framework like n8n instead.
  • The on-premise option is documented as available but no self-service deployment path or container image is published. Infrastructure teams that require air-gapped installation on their own timeline will be dependent on Onpilot's delivery schedule, not their own.
  • Because the agent configuration is built by Onpilot engineers rather than your team, iteration cycles — adding a new escalation rule, adjusting an approval chain — run through the vendor. Teams with fast-changing operational policies will accumulate a backlog of change requests they cannot resolve independently.
Bottom line

BrowserAct is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between BrowserAct and Onpilot?

BrowserAct is Paid and open source, while Onpilot is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is BrowserAct better than Onpilot?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

BrowserAct vs Onpilot: which should I pick?

Pick BrowserAct if its pricing model, openness, or platform fit matches your constraints; pick Onpilot otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.