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 articles2025-08-17 · 4 min read

Apify Review: The Web Scraping Platform With the Best Developer Experience

Apify offers pre-built scrapers, a generous free tier, and a strong developer ecosystem. Here's where it excels and when you need something beyond data extraction.

TL;DR

Apify is one of the most developer-friendly web scraping platforms available, with a marketplace of pre-built scrapers (Actors), a generous free tier, and strong SDK support. For data extraction tasks — pulling product listings, monitoring prices, collecting public data — Apify is hard to beat. It's less suited for multi-step workflow automation in authenticated systems, which is a different problem requiring a different approach.

What Apify does well

Apify has built an impressive ecosystem:

Actor marketplace — hundreds of pre-built scrapers for popular sites, ready to deploy without writing code
Developer experience — excellent SDK, CLI tools, and documentation. The development workflow is smooth
Free tier — genuinely useful free tier that lets you evaluate the platform with real workloads
Infrastructure — handles proxy rotation, browser management, and scaling so you don't have to
Open source roots — Crawlee, their open-source scraping library, has strong community adoption

For teams that need to extract data from websites — product catalogs, news articles, social media posts, public records — Apify is a top choice.

Where data extraction ends and workflow automation begins

Apify is optimized for reading data from websites. Workflow automation is about performing actions — submitting forms, completing transactions, executing multi-step processes in authenticated systems.

The distinction:

Data extraction (Apify's strength): "Pull all product listings from this e-commerce site"
Workflow automation (Zatanna's focus): "Log into this insurance portal, navigate to the claims form, fill in these fields, upload this document, and submit"

These are fundamentally different problems. Data extraction can work with anonymous access and tolerates occasional failures. Workflow automation requires authenticated sessions, precise state management, and reliable execution.

When to use Apify

Apify is the right choice when:

You need to extract publicly available data at scale
You want pre-built scrapers without writing custom code
Your use case is data collection, monitoring, or research
You need a quick prototype of a scraping workflow

When to use workflow APIs

Workflow APIs are better when:

You need to perform actions in authenticated systems, not just read data
The workflow involves multiple steps with state management
Reliability needs to be near 100% (business-critical operations)
AI agents need to execute tasks, not just retrieve information

The bottom line

Apify and Zatanna solve complementary problems. Apify is excellent for data extraction at scale. Zatanna is built for workflow execution in systems that have no API. Many teams use data extraction tools alongside workflow APIs — pulling data with one and performing actions with the other.