What does Zatanna do?

Zatanna maps human-only software workflows and exposes them as reliable APIs. Instead of building brittle browser automation scripts, you show the task once and Zatanna reconstructs the underlying request flow into a stable endpoint your AI agents and internal tools can call in production.

How is Zatanna different from web scraping or RPA?

Traditional web scraping replays clicks and waits on page elements, which breaks whenever the UI changes. RPA tools automate screen-level interactions but require constant maintenance. Zatanna reconstructs the actual HTTP request behavior behind a workflow, producing a stable API that doesn't depend on the UI layer at all.

How does Zatanna handle anti-bot detection?

Zatanna manages TLS fingerprinting, proxy rotation, and detection-sensitive request behavior below the API layer. Sessions, cookies, retries, re-authentication, and error recovery are all handled automatically so your integration stays reliable.

What types of workflows does Zatanna support?

Zatanna works best for workflows that are important, repetitive, and stuck behind a UI — including back-office systems with no API, document and record workflows involving uploads, claim forms, and status checks, and AI agent actions in external third-party software.

How do I integrate with Zatanna?

Integration is a three-step process: (1) A human runs the workflow once while Zatanna observes the real behavior, (2) Zatanna builds a request model that reconstructs the calls, state transitions, and recovery logic, (3) Your systems call a single stable API endpoint while Zatanna manages the fragile workflow underneath.

← All articles2025-08-15 · 4 min read

How to Automate Data migration With Workflow APIs

Data migration involves extracting records from legacy systems, transforming formats, and loading into new platforms. Learn how workflow APIs automate this end-to-end without browser scripts.

TL;DR

Data migration — extracting records from legacy systems, transforming formats, and loading into new platforms — is one of the most common workflows automated with workflow APIs. Instead of building browser scripts that click through forms, workflow APIs reconstruct the underlying request behavior and expose the entire process as a single callable endpoint.

Why data migration needs automation

Data migration is a high-frequency workflow common in IT, All Industries. It typically involves:

Logging into one or more systems
Navigating multi-step forms or processes
Entering structured data with validation requirements
Submitting and confirming the transaction
Extracting confirmation details or status updates

When performed manually, each instance takes minutes. At scale — dozens or hundreds per day — the cumulative cost in labor hours, error rates, and processing delays is substantial.

The automation gap

Most systems that handle data migration were built for human operators. They have web interfaces with login screens, form wizards, and confirmation flows — but no API for programmatic access.

Traditional automation approaches struggle here:

Browser automation works initially but breaks when the target system updates its UI
RPA is slow (operating at screen speed) and requires constant maintenance
Manual API integration is only possible when the system exposes documented endpoints — which many don't

How workflow APIs solve this

Workflow API automation captures the actual HTTP requests behind the data migration process and reconstructs them into a stable endpoint:

1. A person runs the data migration workflow once while the platform observes the real network behavior

2. The request sequence is modeled — including authentication, CSRF tokens, form validation, and state management

3. A single API endpoint is produced that accepts structured inputs and returns structured results

From the caller's perspective, data migration becomes a simple API call:

POST /workflows/data-migration-workflows
{
// structured input fields
}
→ { status: "completed", confirmation: "...", details: {...} }

What gets handled automatically

The hard parts of automating data migration are managed by the platform:

Authentication — login flows, SSO, MFA, and session persistence across the target system
Form validation — multi-step validation logic that the system enforces
Error recovery — automatic retries when sessions expire, requests fail, or the system is temporarily unavailable
Anti-bot measures — TLS fingerprinting, request patterns, and proxy management

Use cases

Workflow API automation for data migration is commonly used by:

AI agents that need to perform data migration actions autonomously in third-party systems
Internal tools that batch-process data migration transactions without manual intervention
Integration platforms that connect data migration workflows to other business systems

If your team is manually performing data migration in web portals, or maintaining browser automation scripts that break regularly, workflow APIs offer a more reliable path.