Apify Automation

Apify Automation is a skill for Claude Code, Codex from manu14357/zskills. It costs 38 tokens per session (1,685 once invoked), scanned A, a copy of Apify Automation, MIT.

A web-scraping skill for Apify, a platform that runs crawlers and other automated programs called Actors to collect website data.

In plain words
What is it for?
It is for running Apify Actors, checking run logs, creating reusable tasks, and reading crawl results from datasets.
Why use it?
It reduces the manual work of starting crawls, waiting for results, and retrieving structured data from datasets.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit It is for running Apify Actors, checking run logs, creating reusable tasks, and reading crawl results from datasets.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/manu14357/zskills/apify-automation
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add manu14357/zskills --skill apify-automation
Clone the repo
git clone --depth 1 https://github.com/manu14357/zskills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Apify Automation

README.md
[![agentmods](https://agentmods.dev/badge/skills/manu14357/zskills/apify-automation/github.svg)](https://agentmods.dev/skills/manu14357/zskills/apify-automation)
Your own site
<a href="https://agentmods.dev/skills/manu14357/zskills/apify-automation"><img src="https://agentmods.dev/badge/skills/manu14357/zskills/apify-automation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Apify Automation

Your own site · 80×15
<a href="https://agentmods.dev/skills/manu14357/zskills/apify-automation"><img src="https://agentmods.dev/badge/skills/manu14357/zskills/apify-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,685 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.01685
Opus 5 $0.00019 $0.00843
Sonnet 5 $0.00008 $0.00337
Haiku 4.5 $0.00004 $0.00169

Measured 8d ago against content hash 95d643719faa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

Apify Automation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to Apify Automation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/composio-skills/apify-automation/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Apify Automation

Run Apify web scraping Actors and manage datasets directly from Claude Code. Execute crawlers synchronously or asynchronously, retrieve structured data, create reusable tasks, and inspect run logs without leaving your terminal.

Toolkit docs: composio.dev/toolkits/apify


Setup

  1. Add the Composio MCP server to your configuration:
    https://rube.app/mcp
    
  2. Connect your Apify account when prompted. The agent will provide an authentication link.
  3. Browse available Actors at apify.com/store. Each Actor has its own unique input schema -- always check the Actor's documentation before running.

Core Workflows

1. Run an Actor Synchronously and Get Results

Execute an Actor and immediately retrieve its dataset items in a single call. Best for quick scraping jobs.

Tool: APIFY_RUN_ACTOR_SYNC_GET_DATASET_ITEMS

Key parameters:

  • actorId (required) -- Actor ID in format username/actor-name (e.g., compass/crawler-google-places)
  • input -- JSON input object matching the Actor's schema. Each Actor has unique field names -- check apify.com/store for the exact schema.
  • limit -- max items to return
  • offset -- skip items for pagination
  • format -- json (default), csv, jsonl, html, xlsx, xml
  • timeout -- run timeout in seconds
  • waitForFinish -- max wait time (0-300 seconds)
  • fields -- comma-separated list of fields to include
  • omit -- comma-separated list of fields to exclude

Example prompt: "Run the Google Places scraper for 'restaurants in New York' and return the first 50 results"


2. Run an Actor Asynchronously

Trigger an Actor run without waiting for completion. Use for long-running scraping jobs.

Tool: APIFY_RUN_ACTOR

Key parameters:

  • actorId (required) -- Actor slug or ID
  • body -- JSON input object for the Actor
  • memory -- memory limit in MB (must be power of 2, minimum 128)
  • timeout -- run timeout in seconds
  • maxItems -- cap on returned items
  • build -- specific build tag (e.g., latest, beta)

Read the full file on GitHub · 168 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 168 lines · 38 tokens per session scan A 95d643719faa

Subscribe to this mod's changes

Apify Automation is a skill published in the GitHub repository manu14357/zskills (16 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 1,685 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Apify Automation, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens