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Valendata gets you from zero to a live browser-automation API endpoint in a single sitting. You’ll sign up for a free account, write a plain-English Skill that extracts structured data from a real webpage, run it from the dashboard to verify the output, and then call it programmatically via the REST API. By the end of this guide you’ll have a working endpoint you can wire into any application.
1

Create your free account

Go to app.valendata.com and sign up. Every new account gets 100 free credits — no credit card required. Credits cover LLM tokens, browser session time, and web searches, so your first few runs cost you nothing.
Your 100 free credits never expire. Use them to experiment before committing to a paid plan.
Once you’ve verified your email, you’ll land inside your default Workspace — the organizational unit where your Skills, Workflows, and credentials all live.
2

Create your first Skill

A Skill is a reusable API endpoint built from a saved browser automation Config. Configs are generated automatically when you run a session. So you need at least one session saved before publishing a Skill.
  1. In the sidebar, click Skills, then click + Create.
  2. In the Config dropdown, select the saved session config you want to publish as a Skill.
  3. Give your Skill a name and an optional description. Click the wand icon to let AI suggest both from the config automatically.
  4. Set Visibility to Private (only you can run it) or Public (anyone with a valid API key can run it).
  5. Optionally enable Monetize this skill if you want other users to pay credits to run it.
  6. Click Publish Skill. Valendata publishes the Skill as a versioned API endpoint and generates a skill_id.
Input and output parameters are detected automatically from your config — you don’t need to define them manually. You can use Suggest to add or update them later from the Workspace tab on the Skill details page.
3

Run your Skill from the dashboard

Before wiring anything into your code, verify that the Skill works and the output looks right.
  1. Open the Skill you just created. The Workspace tab is shown by default.
  2. Fill in any input parameters if your Skill requires them, then click Run skill.
  3. Watch the live browser session — you’ll see the agent navigate, extract data, and return results.
  4. When the run finishes, the output panel shows structured JSON:
If data is missing from the output, use Enrich to fill in the gaps. If you want more results or different behavior, describe what you need in the Refine box.
4

Call your Skill via the API

Once your Skill runs cleanly in the dashboard, integrate it into your application using the REST API. Grab your API key from Settings → API Keys.
The API returns a response like this:
Keep your API key secret. Never commit it to source control or expose it client-side. Rotate compromised keys immediately from Settings → API Keys.

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What’s next?

You’ve built and called your first Skill. Here are the most common next steps.

Schedule a Skill

Run your Skill automatically on a cron schedule — hourly, daily, or any custom interval. Wake up to fresh data without lifting a finger.

Build a Workflow

Chain multiple Skills together with HTTP steps and transforms to build end-to-end data pipelines that run as a single unit.

Browse the Marketplace

Clone a pre-built Skill from the public Marketplace, customize it for your use case, and ship in minutes instead of hours.