Getting Started

Create your first workflow

Describe what you want in plain language and the Kadoa Assistant builds the workflow: it finds the source, proposes a schema, builds and tests the extraction, and shows you a sample to approve. Open the Kadoa Dashboard and click Create your first workflow.

Building and previewing is free. You only use quota (your plan’s record allowance) once you approve and run on the full dataset. See Usage.

The Kadoa workflow setup prompt with a prompt editor and configuration controls

Describe what you want

Describe the task in plain language, for example “Get me all job postings from sandbox.kadoa.com/careers”. Include a source URL when you have one; the Assistant can also help find the source.The setup prompt includes optional controls for:

Product type:
- Workflow: Extract a dataset once or on a schedule.
- Real-time: Monitor a website continuously. Select at least one notification channel before you start, unless a selected template provides notifications.
Templates: Start with a reusable prompt, schema, data quality rules, notifications, or frequency.
Notifications: Choose existing channels or create one without leaving the prompt.
Tags: Organize the workflow with workspace tags.
Variables: Insert reusable values into the prompt.

Real-time monitoring is available on request. Contact support to enable it for your workspace.

You can also use the prompt shortcuts directly: @ for notification channels, # for tags, and $ for variables.

Watch it build

The Assistant confirms the source, writes the extraction code, and runs a preview, narrating each step. The result is a deterministic pipeline: it extracts your data the same way on every run, not a fresh AI guess each time.

The Kadoa Assistant working through its setup plan step by step

Review the sample

Check the preview data. It is free and uses no quota until you approve.

Preview data generated by the Assistant, shown as a structured table

What if it's not right?

Tell the Assistant what to fix, for example “add a salary field” or “pull location from the detail page”, and it reruns the preview. Nothing is charged until you approve. For automatic checks on every run, add Data Quality rules.

Approve and go live

The workflow produces the full dataset. Add scheduling, change detection, and notifications any time.

A completed workflow showing the full extracted dataset, with download and run controls and the data quality panel

Refine anytime

Keep chatting to change fields, navigation, or the schedule, or edit the Sources, Schema, Notifications, and Tags panels directly. Templates keep their managed settings read-only until you update or unlink the template.

Example

Prompt: “Get me all job postings from sandbox.kadoa.com/careers”. The Assistant proposes a five-field schema and returns structured data:

[
  {
    "title": "Graphic Designer",
    "detailUrl": "https://sandbox.kadoa.com/careers/career/graphic-designer",
    "shortDescription": "Create designs for our digital platforms.",
    "postedDate": "2024-01-15"
  },
  {
    "title": "Data Analyst",
    "detailUrl": "https://sandbox.kadoa.com/careers/career/data-analyst",
    "shortDescription": "Interpret data and analyze results to drive business decisions.",
    "postedDate": "2023-10-20"
  }
]

Export and access your data → · Is web scraping allowed?

Next steps

Sources

Adjust or add the URLs a workflow extracts from

Data Schemas

Customize the fields the Assistant proposed

Data Quality

Validate every run with per-field rules

Human-in-the-Loop

Review and approve data before it goes live

Compliance Center

Kadoa Assistant

Foundations

Security & Compliance

Build with UI

Build with Code

Integrations

Create your first workflow

Example

Next steps

Sources

Data Schemas

Data Quality

Human-in-the-Loop

​Create your first workflow

​Example

​Next steps

Sources

Data Schemas

Data Quality

Human-in-the-Loop

Create your first workflow

Example

Next steps