Pilot
Validate one workflow
Run a representative source sample and inspect both usable results and exceptions. Agree on acceptance criteria before expanding.
Agent Browser / B2B Workflow Automation
Move B2B work across the websites your team uses
Connect browser steps across approved business portals and keep a record of each handoff from input to completed task.
- Map the record and portal steps
- Execute and verify each transition
- Reconcile the final record with your system
CDP
Connect your browser framework
Sessions
Keep a task in one context
JavaScript
Interact with rendered pages
Evidence
Verify the resulting state
Who uses B2B Workflow Automation
Connect browser steps across approved business portals and keep a record of each handoff from input to completed task.
01
Revenue operations
Define the business question and review the collected evidence.
02
Procurement teams
Use a repeatable process to compare the observations that matter.
03
Business systems teams
Connect reliable inputs to the product or research workflow.
04
Integration owners
Map the source output into your existing application and validate required fields.
05
Workflow operators
Monitor exceptions, maintain collection context and review incomplete runs.
Why this workflow breaks at scale
Design around the failure modes that affect a usable business outcome.
Failure 01
The context gets lost
A partial update in one portal can leave downstream systems out of sync. Track each completed step and resume only the missing work.
Keep comparable observationsFailure 02
A run ends without a usable result
An action can execute without completing the intended task. Validate the visible result before treating the run as successful.
Validate the actual outcomeFailure 03
The next team cannot verify the result
Preserve source context and reviewable evidence alongside the result. Define who handles incomplete records before production collection.
Make the handoff traceableThe data your workflow can use
Keep the collection layer and the normalized business record clearly defined.
- record_id
- Stable record id assigned or retained by your application.
- portal
- Workflow-specific portal retained with the observation.
- step_status
- Outcome of the named application-level check; distinguish failure from valid empty data.
- evidence_url
- Source or destination reference retained for traceability.
NORMALIZED RECORD · ILLUSTRATIVE
{
"record_id": "record_sample_01",
"portal": "illustrative_portal",
"step_status": "verified_in_sample",
"evidence_url": "https://example.com/public-source"
}Suggested downstream record, not a literal Scrapeless API response. Field extraction and normalization belong in your application.
A remote browser session that your automation or agent framework controls.
Example in practice. Update a supplier reference in an owned procurement workspace and reconcile the result.
How this workflow runs
A focused sequence from approved input to a verified result.
- 01
Map the record and portal steps
Start with: A business record, portal access and a sequence of approved steps. Define the minimum usable result before collection.
- 02
Execute and verify each transition
A remote browser session that your automation or agent framework controls. Record failures and partial results separately.
- 03
Reconcile the final record with your system
Verified task completions, exception rate and runtime per usable result. Retain evidence for records that enter the next stage.
Built for the way your team works
Product capabilities support the workflow; your application defines what success means.
- Playwright · Puppeteer
Connect the tools you use
Agent Browser exposes a browser connection for frameworks such as Playwright and Puppeteer. Your existing workflow decides what the browser does.
- Task → session → result
Control the session
Set the session lifetime and relevant network context. Design recovery around the lifetime of the browser and the state of the task.
- Observe → act → check
Work with rendered pages
Use your framework to wait for content, interact with the UI and inspect the DOM. Validate meaningful states instead of relying on fixed delays.
- Run log · page state
Retain useful evidence
Enable supported session recording when needed, and capture application-specific evidence through your code. Apply your retention policy to recorded content.
Plan the cost of your workflow
Estimate browser runtime and proxy traffic for representative tasks. Check current account terms before setting a production budget.
Try for Free
Production
Measure real consumption
Verified task completions, exception rate and runtime per usable result.
Scale
Scope the next stage
Bring your workload mix, operating window and observed consumption to discuss the setup that fits your requirements.
These are workload stages, not named subscription plans. Current rates and account limits apply.
Choose how to run the workflow
Compare responsibilities and operating effort using your own representative workload.
Workflow responsibility
With Agent Browser
Self-managed stack
Manual process
Execution
Managed browser execution
Your team runs and maintains the execution layer.
An operator repeats each collection or browser step.
Business rules
Task planning, selectors, approval rules, extraction logic and outcome validation.
Implemented in your application.
Applied by the researcher or operator.
Acceptance
Keep outcome and content checks in your workflow.
Build validation and exception handling.
Review the captured evidence.
Cost planning
Measure product consumption plus downstream processing.
Measure infrastructure and maintenance effort.
Account for time spent per completed task.
Connect it to the stack you already run
Keep business logic and analysis close to the systems that consume the result.
Playwright
Cross-browser Automation
Puppeteer
Browser Control & Scripting
Your agent framework
Custom Agent Integration
Task planning, selectors, approval rules, extraction logic and outcome validation. Open the product documentation for current setup and supported options.
Explore more Agent Browser workflows
Related workflows using the same product, each with its own inputs and acceptance criteria.
Production AI Agents
Connect your agent to a managed browser, turn a task into observable actions, and check the result before moving on.
Forms & Appointments
Fill approved forms, validate required fields, and retain the confirmation that proves an appointment or request was accepted.
You are here
B2B Workflow Automation
Connect browser steps across approved business portals and keep a record of each handoff from input to completed task.
Automated QA & Regression
Run repeatable checks against your application, inspect rendered page state, and capture evidence when a release changes a critical flow.
Computer-use & VLA Agents
Use browser screenshots and actions as the observation loop for computer-use and vision-language-action experiments on websites.
Public Lead Research
Navigate public company websites and dynamic directories to assemble company-level research with traceable sources for review.
Web Automation
Run navigation, clicks and page checks in a managed browser while keeping your existing automation logic and completion rules.
Owned Account Operations
Automate approved maintenance in your own business accounts with separate session context and explicit checks around account changes.
Dynamic Website Data
Render JavaScript pages, navigate interactive elements, and extract visible public data after the relevant content is ready.
RPA Modernization
Replace machine-bound website routines with managed browser sessions, explicit state checks and versioned automation workflows.
Looking for more Agent Browser workflows?
Explore more use cases across web automation, QA testing, and business operations.
Questions teams ask before they build
Scope the first run with clear expectations.
What do we need to get started?
What does Agent Browser provide?
Which parts do we build ourselves?
What can make this workflow misleading?
What boundaries should we plan around?
How should we evaluate a pilot?
Put Agent Browser to work for your team
Bring your sources, expected browser runs and acceptance criteria. Start with a focused pilot, then expand on evidence.