Apifyv1.2.6

Apify API integration with managed authentication. Run web scrapers, manage actors, datasets, key-value stores, and schedules. Use this skill when users want to interact with Apify - running web scraping actors, managing datasets, or scheduling tasks. Running actors consumes Apify compute units. Creating schedules and webhooks creates persistent resources that continue operating after the conversation ends. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key. Calls run through the `maton` CLI with OAuth login, or over raw HTTP with a Maton API key where the CLI cannot be installed. Every call is authenticated as the user's connection and reaches only what that connection's authorization allows, which the provider enforces on every request; the endpoints documented here are the ones this skill uses, and any other endpoint of this app needs the user to ask for it by name. Default to read and list calls, and confirm every write or new connection with the user. This file also documents the three constructs that turn an Apify connection into automation, in the order they are used: the connection (the first step), a hosted function that runs an Apify action through the Maton SDK, and a trigger that calls that function on a schedule or on an event. Those sections are the platform's own reference text, shared with the api-gateway skill, with Apify examples; they add no Apify capability - Apify is not an event source, a trigger cannot read Apify data, and the files under `references/<source>/triggers.md` are the platform's event catalogues for the sources Maton offers (time, Calendly, GitHub, Gmail, HubSpot, Linear, Notion, Slack, Stripe).