Apify AI employee
A Superkind AI employee that runs Actors and tasks in Apify, monitors runs, analyses logs, and provides results from datasets. Message it in Teams or Outlook, it works in Apify and reports back with the result. Sensitive actions wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a Apify AI employee?
An Apify AI employee is an AI that connects to your Apify account and completes work in it. It runs Actors and tasks, checks runs and logs, reads datasets, and monitors alerts. Superkind builds this AI employee with your company knowledge and delivers the finished result to wherever your team works.
Unlike workflow builders such as Zapier or Make, there is nothing to configure. No triggers, no scenarios, nothing to maintain. You describe the outcome in plain English, the AI employee picks the right Apify actions, chains them with your other systems, and asks for your approval before sensitive steps.
Apify is a platform for web scraping and data extraction with Actors, tasks, runs, datasets, and managed proxies.
You ask in Teams
Describe the data or check you need in plain English.
Superkind picks the actions
Selects the right Apify actions and connects them with your systems.
Superkind works in Apify
Runs tasks, checks runs, and reads datasets. Your real data.
Superkind reports back
Delivers the result, run ID, and any errors to Teams or Outlook.
What can you ask Superkind to do in Apify?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Check the latest Website Content Crawler deployment and tell me whether the Actor started without errors.”
you, to @Superkind“Use the run log to explain why today’s Actor run failed after three minutes.”
you, to @Superkind“Create a Jira ticket with the run ID, log extract, and most likely cause.”
you, to @Superkind“Let me know here as soon as a new incident affects a production Actor, including its run ID and cause.”
you, to @SuperkindHow does Superkind work with Apify?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect Apify securely with an API token carrying the required permissions. Add Teams and the systems your team already uses. Superkind checks the connection to Apify. Your AI employee is then available in Teams.
@Superkind please check this morning’s failed Actor run and create a task for the daily check.
On it. I am checking the run log and preparing the new Apify task.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask it to check an Apify run or read a dataset. Superkind understands the outcome you need. It resolves unclear details directly in Teams.
- Actor run #731 failed
- Cause: input schema violated
- Task incident-check created
Task incident-checkWaiting for your approvalRestart the Actor build?3Superkind operates, you approve
Superkind runs the right actions in Apify. The result returns to Teams with the run ID and status. Changes to production builds or automations wait for your approval. Every Apify step is logged.
What can Superkind do in Apify?
Ask in plain English from Teams or Outlook. Superkind picks the right Apify actions, runs the work, and reports back. No workflows to build.
Start Actor build
Starts a new build for the selected Actor version.
List Actors
Lists Actors in the Apify account with name, ID, and latest build.
Get Actor
Shows an Actor configuration, versions, and default run options.
Check Actor versions
Compares Actor versions with their build numbers and source types.
List Actor builds
Lists Actor builds with status, number, and build tag.
List tasks
Lists saved Actor tasks with Actor ID and modification date.
Get task
Shows the Actor, input, and run options of a saved task.
Read task input
Reads the stored input schema and values of an Actor task.
Run task
Starts a saved Actor task with its configured input.
List Actor runs
Lists Actor runs by status, Actor, or time range.
Check run status
Checks the status, duration, storage, and compute units of an Actor run.
Get run log
Reads the complete log of an Actor run or build for troubleshooting.
Abort Actor run
Aborts an active Actor run in a controlled way.
Check latest run
Gets the latest Actor task run and explains its status or error.
Get dataset items
Reads items from a dataset with fields, limit, and offset.
Export dataset
Exports dataset items as JSON, CSV, XML, or XLSX.
Store dataset items
Stores new structured items in an Apify dataset.
Delete dataset
Deletes a dataset together with its stored items.
Read store record
Reads a record from a key value store with its content type.
List schedules
Lists schedules with cron expression, timezone, and linked actions.
Create schedule
Creates a schedule for an Actor or Actor task.
List webhooks
Lists webhooks with event type, target URL, and last modification date.
Create webhook
Creates a webhook for a run event and target URL.
Check request queue
Shows the head, status, and request count of a request queue.
Get account usage
Shows platform usage, compute units, and cost for the current billing period.
Find Store Actor
Finds suitable Actors in Apify Store by task and category.
Superkind AI employees that work with Apify
Every role brings its expertise and uses Apify as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for Apify.
Yes. Superkind connects Apify through its public API and a managed connector. Once connected, your team can put the AI employee to work in Apify from Microsoft Teams or Outlook. It reads runs, logs, and datasets or starts agreed tasks. It only receives the permissions that the specific use case actually needs.
An admin creates an API token in Apify with the smallest practical permissions and stores it securely with Superkind. We then select the Actors, tasks, datasets, and allowed actions together. The connection is tested before your team uses it. After that, you simply message the AI employee in Teams or Outlook without configuring endpoints or webhooks yourself.
The AI employee can find and run Actors and tasks, check run status and logs, explain errors, retrieve dataset items, and export results. It can also manage builds, schedules, webhooks, key value stores, and request queues. During onboarding, you decide which actions it handles independently and where it needs approval.
No. With Zapier or Make, you build triggers, branches, and individual steps yourself. With the AI employee, you simply describe the outcome in Teams or Outlook. Superkind picks the right Apify actions, connects them to Jira, GitHub, or Slack when needed, and asks when details are missing. There is no workflow for your team to maintain.
Only with your approval. The AI employee can read runs, logs, and dataset items and produce results from them. A new production build, aborting a run, deleting a dataset, or creating an automation waits for an explicit yes from a responsible person in Teams. Your team decides which Apify actions are sensitive for each use case.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The Apify API token receives only the minimum permissions required and is stored securely. Your data is not used to train models. Access, approvals, and completed actions are logged so every step in Apify remains traceable.
Apify paid plans start at roughly 30 euros per month, with usage based charges for compute units and Store Actors added. Zapier starts at about 20 euros per month and Make at about 10 euros per month, both plus setup and maintenance time. Superkind is priced per use case, a fraction of a full-time hire.