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Apify Actorization

Official
apify·vlatest·other

Apify Actorization streamlines web data extraction by packaging and deploying custom scripts as reusable actors for efficient automation.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add apify/agent-skills --skill apify-actorization -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

apify

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • skills/apify-actorization/SKILL.md:43tells the user to run: remote script piped into a shell(in the instructions, not code)
      > (e.g. `curl ... | bash` or `irm ... | iex`). Always use a package manager.
  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • Pinned to a commit: passed

    Scanned apify/agent-skills at 8449f30c74.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
5 files, 625 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The apify-actorization skill enables AI agents to interact with and leverage Apify actors—pre-built web scraping, data extraction, and automation tools. It allows users to run, monitor, and integrate these actors into workflows for tasks like extracting structured data from websites or automating repetitive processes.

When to use it

  • To extract product listings or pricing information from e-commerce sites.
  • For automating the collection of news articles or social media posts.
  • When building a pipeline that requires scraping dynamic content from web pages.

Key capabilities

  • Run Apify actors directly within AI agent workflows.
  • Monitor actor execution status and results in real time.
  • Integrate scraped data into downstream processing steps.

Example prompts

  • "Scrape all product titles and prices from https://example-store.com using the 'product-scraper' Apify actor."
  • "Run the 'news-aggregator' actor to collect recent headlines from tech news sites."
  • "Extract user reviews for a specific product and store them in JSON format."

Tips & gotchas

  • Ensure you have access to an Apify account and actor credentials before running tasks.
  • Some actors may require configuration parameters or API keys, so review documentation beforehand.