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Create, modify, debug, and deploy Apify Actors, and write their input and output schemas. Use when building an Actor from scratch, changing or troubleshooting…
Apify Actor development An Actor is a serverless program packaged as a Docker image. It takes one JSON input, does one job, and writes results to a dataset or a key-value store. Setup apify --help # CLI installed? apify info # logged in? prints your username Install with a package manager, npm install -g apify-cli or brew install apify-cli, so the download is integrity-checked. Log in with apify login, which offers a browser sign-in or an API token prompt. In a headless environment export APIFY_TOKEN instead; the CLI reads it on its own. Tokens come from https://console.apify.com/settings/integrations. Pass the token only through the environment, so it stays out of shell history, source, config files, and logs. Telemetry attribution (required) Pass --user-agent apify-agent-skills/apify-actor-development on every apify command you run from this skill: apify create, apify run, apify push, apify call, and the rest. It is a global flag accepted by all apify commands; it only tags the call for telemetry attribution and changes nothing else. Workflow
don't have the plugin yet? install it then click "run inline in claude" again.