apify-actor-development

Name: apify-actor-development
Availability: InStock
Author: valorinvestigator

Develop, debug, and deploy Apify Actors with CLI workflows.

1|Updated Feb 23, 2026

Search Tags:#automation #deployment #cli #apify #crawler #web-scraping #actor

Ready to run

npx skills add https://github.com/ValorInvestigator/claude-plugin-toolkit --skill apify-actor-development-valorinvestigator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: apify-actor-development
Source: https://github.com/ValorInvestigator/claude-plugin-toolkit/tree/main/skills/apify-actor-development
Command: npx skills add https://github.com/ValorInvestigator/claude-plugin-toolkit --skill apify-actor-development-valorinvestigator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Building or maintaining Apify Actors involves coordinating CLI setup, schema validation, secure credential handling, local testing, and deployment steps that can overwhelm automation engineers without consistent guidance.

Core Features & Use Cases

Preparation checklist: confirms that the Apify CLI is installed, authenticated, and uses scoped tokens before code changes.
Development roadmap: guides language template selection, dependency installation, schema configuration, logging, and local testing so actors are production ready.
Security and reliability guardrails: enforces sanitizing crawled data, using the Apify logger, respecting robots rules, validating inputs, and links to actor, schema, logging, standby, dataset, and key value store references for further study.

Quick Start

Ask for help to scaffold or update an Actor by choosing a language template and following the described CLI workflow to install dependencies, validate schemas, test locally, and push to Apify.

Frequently Asked Questions about apify-actor-development

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I deploy an Apify Actor using the CLI?▼

To deploy an Apify Actor using the CLI, authenticate with scoped tokens, configure input schemas, test locally, and push the project to the Apify platform. This workflow ensures your scraping automation is production ready.

What is the best way to structure input and output for Apify Actors?▼

The best way to structure input and output for Apify Actors is through schema configuration and sanitizing crawled data. Using the Apify logger and validating inputs ensures consistent data processing for datasets and key value stores.

Do I need to install the Apify CLI before creating a web scraper?▼

Yes, you need to install and authenticate the Apify CLI before creating a web scraper. The preparation checklist confirms the CLI is set up with scoped tokens before you select a language template and install dependencies.

How does local testing work for Apify Actors?▼

Local testing for Apify Actors works by running the Actor locally via the CLI after dependency installation and schema configuration. This process verifies logging, input validation, and output handling before deployment to the Apify platform.

What security guardrails should I follow during Apify Actor development?▼

Security guardrails for Apify Actor development include using scoped tokens for authentication, sanitizing crawled data, respecting robots rules, and using the Apify logger. These practices secure credentials and ensure reliable automation.