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* feat: add 12 official Apify skills for web scraping and data extraction Add the complete Apify agent-skills collection as official vendor skills, bringing the total skill count from 954 to 966. New skills: - apify-actor-development: Develop, debug, and deploy Apify Actors - apify-actorization: Convert existing projects into Apify Actors - apify-audience-analysis: Audience demographics across social platforms - apify-brand-reputation-monitoring: Track reviews, ratings, and sentiment - apify-competitor-intelligence: Analyze competitor strategies and pricing - apify-content-analytics: Track engagement metrics and campaign ROI - apify-ecommerce: E-commerce data scraping for pricing intelligence - apify-influencer-discovery: Find and evaluate influencers - apify-lead-generation: B2B/B2C lead generation from multiple platforms - apify-market-research: Market conditions and geographic opportunities - apify-trend-analysis: Discover emerging trends across platforms - apify-ultimate-scraper: Universal AI-powered web scraper Existing skill fixes: - design-orchestration: Add missing description, fix markdown list spacing - multi-agent-brainstorming: Add missing description, fix markdown list spacing Registry and documentation updates: - Update skill count to 966+ across README.md, README.vi.md - Add Apify to official sources in SOURCES.md and all README variants - Register new skills in catalog.json, skills_index.json, bundles.json, aliases.json - Update CATALOG.md category counts (data-ai: 152, infrastructure: 95) Validation script improvements: - Raise description length limit from 200 to 1024 characters - Add empty description validation check - Apply PEP 8 formatting (line length, spacing, trailing whitespace) * refactor: truncate skill descriptions in SKILL.md files and revert description length validation to 200 characters. * feat: Add `apify-ultimate-scraper` to data-ai and move `apify-lead-generation` from business to general categories.
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Actor Configuration (actor.json)
The .actor/actor.json file contains the Actor's configuration including metadata, schema references, and platform settings.
Structure
{
"actorSpecification": 1,
"name": "project-name",
"title": "Project Title",
"description": "Actor description",
"version": "0.0",
"meta": {
"templateId": "template-id",
"generatedBy": "<FILL-IN-TOOL-AND-MODEL>"
},
"input": "./input_schema.json",
"output": "./output_schema.json",
"storages": {
"dataset": "./dataset_schema.json"
},
"dockerfile": "../Dockerfile"
}
Example
{
"actorSpecification": 1,
"name": "project-cheerio-crawler-javascript",
"title": "Project Cheerio Crawler Javascript",
"description": "Crawlee and Cheerio project in javascript.",
"version": "0.0",
"meta": {
"templateId": "js-crawlee-cheerio",
"generatedBy": "Claude Code with Claude Sonnet 4.5"
},
"input": "./input_schema.json",
"output": "./output_schema.json",
"storages": {
"dataset": "./dataset_schema.json"
},
"dockerfile": "../Dockerfile"
}
Properties
actorSpecification(integer, required) - Version of actor specification (currently 1)name(string, required) - Actor identifier (lowercase, hyphens allowed)title(string, required) - Human-readable title displayed in UIdescription(string, optional) - Actor description for marketplaceversion(string, required) - Semantic version numbermeta(object, optional) - Metadata about actor generationtemplateId(string) - ID of template used to create the actorgeneratedBy(string) - Tool and model name that generated/modified the actor (e.g., "Claude Code with Claude Sonnet 4.5")
input(string, optional) - Path to input schema fileoutput(string, optional) - Path to output schema filestorages(object, optional) - Storage schema referencesdataset(string) - Path to dataset schema filekeyValueStore(string) - Path to key-value store schema file
dockerfile(string, optional) - Path to Dockerfile
Important: Always fill in the generatedBy property with the tool and model you're currently using (e.g., "Claude Code with Claude Sonnet 4.5") to help Apify improve documentation.