# Apify CLI for AI Agents ```json { "title": "Apify CLI for AI Agents", "toolkit": "Apify", "toolkit_slug": "apify", "framework": "CLI", "framework_slug": "cli", "url": "https://composio.dev/toolkits/apify/framework/cli", "markdown_url": "https://composio.dev/toolkits/apify/framework/cli.md", "updated_at": "2026-05-06T08:01:00.906Z" } ``` ## Introduction CLIs are eating MCPs. The industry is converging on the very same idea. MCPs for all their merit can be token hungry, slow, and unreliable for complex tool chaining. However, coding agents have become incredibly good at working with CLIs, and in fact they are far more comfortable working with CLI tools than MCP. With Composio's Universal CLI, your coding agents can talk to over 1000+ SaaS applications. With Apify, agents can create a new dataset for scraped results, fetch items from a specific apify dataset, get details of your latest apify actor, and more — all without worrying about authentication. This guide walks you through Composio Universal CLI and explains how you can connect it with coding agents like Claude Code, Codex, OpenCode, etc, for end-to-end Apify automation. ## Also integrate Apify with - [OpenAI Agents SDK](https://composio.dev/toolkits/apify/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/apify/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/apify/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/apify/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/apify/framework/codex) - [OpenClaw](https://composio.dev/toolkits/apify/framework/openclaw) - [Hermes](https://composio.dev/toolkits/apify/framework/hermes-agent) - [Google ADK](https://composio.dev/toolkits/apify/framework/google-adk) - [LangChain](https://composio.dev/toolkits/apify/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/apify/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/apify/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/apify/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/apify/framework/crew-ai) ## TL;DR The idea behind building the universal CLI is to give agents a single command interface to interact with all your external applications. Here's what you'll get with it: - Agent-friendly: Coding agents like Claude Code, Codex, and OpenCode can use CLI tools natively — no MCP setup required. - Authentication handled: Connect once via OAuth or API Key, and all CLI commands work with your credentials automatically. - Tool discovery: Search, inspect, and execute 20,000+ tools across 1000+ apps from one interface. - Trigger support: Use triggers to listen for events across your apps, powered by real-time webhooks or polling under the hood. - Type generation: Generate typed schemas for autocomplete and type safety in your projects. ## Connect Apify to CLI ### Prerequisites Install the Composio CLI, authenticate, and initialize your project: ```bash # Install the Composio CLI curl -fsSL https://composio.dev/install | bash # Authenticate with Composio composio login ``` ## What is the Apify MCP server, and what's possible with it? The Apify MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Apify account. It provides structured and secure access to your web scraping and automation workflows, so your agent can create actors, manage datasets, fetch scraped data, schedule tasks, and maintain webhooks on your behalf. - Automated Actor Creation and Management: Easily instruct your agent to programmatically create, configure, or delete Apify actors for custom web automation or scraping jobs. - Dataset Handling and Data Retrieval: Let your agent spin up new datasets, organize scraped results, and pull items from datasets for downstream analysis or reporting. - Task Scheduling and Automation: Have your agent create and manage recurring actor tasks, making it simple to automate data extraction or browser automation at set intervals. - Webhook Integration and Event Handling: Direct your agent to set up or remove webhooks for actor tasks, enabling real-time notifications or downstream integrations when a task completes or fails. - Actor and Build Metadata Access: Empower your agent to fetch detailed metadata about actors, including build information and configuration details, for monitoring or troubleshooting purposes. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `APIFY_CREATE_ACTOR` | Create Actor | Tool to create a new actor with specified configuration. use when you need to initialize a fresh actor programmatically before publishing or running it. | | `APIFY_CREATE_DATASET` | Create Dataset | Tool to create a new dataset. use when you need to initialize or retrieve a dataset by name. | | `APIFY_CREATE_TASK` | Create Actor Task | Tool to create a new actor task with specified settings. use when you need to configure or schedule recurring actor runs programmatically. | | `APIFY_CREATE_TASK_WEBHOOK` | Create Task Webhook | Tool to create a webhook for an actor task. use when you need external notifications about task run events (e.g., completion or failure) in downstream systems. | | `APIFY_DELETE_ACTOR` | Delete Actor | Tool to delete an actor permanently. use when you need to remove an actor by its id or username~actorname. confirm before calling. | | `APIFY_DELETE_WEBHOOK` | Delete Webhook | Tool to delete a webhook by its id. use when removing a webhook after confirming the webhook id. | | `APIFY_GET_ACTOR` | Get Actor Details | Tool to get details of a specific actor. use when you need actor metadata by id or username/actorname. | | `APIFY_GET_ALL_WEBHOOKS` | Get all webhooks | Tool to get a list of all webhooks created by the user. use when you need to enumerate webhooks before filtering or maintenance. | | `APIFY_GET_DATASET_ITEMS` | Get dataset items | Tool to retrieve items from a dataset. use when you need to fetch data from a specified dataset by pagination or filtering. only json format is fully supported. | | `APIFY_GET_DEFAULT_BUILD` | Get Default Build | Tool to get the default build for an actor. use after specifying the actor id; optionally wait for the build to finish before returning. | | `APIFY_GET_KEY_VALUE_RECORD` | Get Key-Value Record | Tool to retrieve a record from a key-value store. use when you need to fetch a specific value by key from an apify key-value store. | | `APIFY_GET_LIST_OF_BUILDS` | Get list of builds | Tool to get a list of builds for a specific actor. use when you need paginated access to an actor’s build (version) history. | | `APIFY_GET_LIST_OF_RUNS` | Get list of runs | Tool to get a list of runs for a specific actor. use when you need to paginate through runs and optionally filter by status before processing run data. | | `APIFY_GET_LIST_OF_TASK_RUNS` | Get list of task runs | Tool to get a list of runs for a specific actor task. use when you need to paginate through task runs and optionally filter by status. | | `APIFY_GET_LIST_OF_TASKS` | Get list of tasks | Tool to fetch a paginated list of tasks belonging to the authenticated user. use when you need to browse or sort tasks created by the user. | | `APIFY_GET_LIST_OF_TASK_WEBHOOKS` | Get list of task webhooks | Tool to get a list of webhooks for a specific actor task. use when you need to review or paginate webhooks after creating or updating a task. | | `APIFY_GET_LOG` | Get log | Tool to retrieve logs for a specific actor run or build. use after initiating an actor run or build when you need to inspect execution logs. | | `APIFY_GET_OPEN_API_DEFINITION` | Get OpenAPI Definition | Tool to get the openapi definition for a specific actor build. use when you need the api schema for code generation or analysis. | | `APIFY_GET_TASK_INPUT` | Get Task Input | Tool to retrieve the input configuration of a specific task. use when you need to inspect stored task input before execution or debugging. | | `APIFY_RESURRECT_RUN` | Resurrect Run | Tool to resurrect a finished actor run. use when you need to restart a completed or failed run. deprecated endpoint; may be removed in future. | | `APIFY_RUN_ACTOR` | Run Actor Asynchronously | Tool to run a specific actor asynchronously. use when you need to trigger an actor run without waiting for completion and retrieve its run details immediately. | | `APIFY_RUN_ACTOR_SYNC` | Run Actor Sync | Tool to run a specific actor synchronously with input and return its output record. use when immediate actor results are needed; runs may timeout after 300 seconds. | | `APIFY_RUN_ACTOR_SYNC_GET_DATASET_ITEMS` | Run Actor Sync & Get Dataset Items | Tool to run an actor synchronously and retrieve its dataset items. use when immediate access to run results is needed. | | `APIFY_RUN_TASK` | Run Task Asynchronously | Tool to run a specific actor task asynchronously. use when you need to trigger a task run without waiting for completion and immediately retrieve its run details. | | `APIFY_STORE_DATA_IN_DATASET` | Store Data in Dataset | Tool to store data items in a dataset. use after collecting data when you want to batch-append or update items in an existing dataset. | | `APIFY_STORE_DATA_IN_KEY_VALUE_STORE` | Store Data in Key-Value Store | Tool to create or update a record in a key-value store. use after you have the store id and record key to persist json data. | | `APIFY_UPDATE_KEY_VALUE_STORE` | Update Key-Value Store | Tool to update a key-value store's properties. use when renaming or changing access or schema version of the store after confirming the store id. | | `APIFY_UPDATE_TASK_INPUT` | Update Task Input | Tool to update the input configuration of a specific actor task. use when you need to modify a scheduled tasks input before execution. | ## Supported Triggers None listed. ## Complete Code None listed. ## Conclusion - Try asking your coding agent to perform various Apify operations - Explore cross-app workflows by connecting more toolkits - Set up triggers for real-time automation - Use composio generate for typed schemas in your projects ## How to build Apify MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/apify/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/apify/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/apify/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/apify/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/apify/framework/codex) - [OpenClaw](https://composio.dev/toolkits/apify/framework/openclaw) - [Hermes](https://composio.dev/toolkits/apify/framework/hermes-agent) - [Google ADK](https://composio.dev/toolkits/apify/framework/google-adk) - [LangChain](https://composio.dev/toolkits/apify/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/apify/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/apify/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/apify/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/apify/framework/crew-ai) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. 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It helps streamline how you gather, organize, and analyze responses. ## Frequently Asked Questions ### What is the Composio Universal CLI? The Composio Universal CLI is a single command-line interface that lets coding agents and developers interact with 1000+ SaaS applications. It handles authentication, tool discovery, action execution, and trigger setup — all from the terminal, without needing to configure MCP servers. ### Which coding agents work with the Composio CLI? Any coding agent that can run shell commands works with the Composio CLI — including Claude Code, Codex, OpenCode, OpenClaw, and others. Once the CLI is installed, agents automatically discover and use the composio commands to interact with Apify and other connected apps. ### How is the CLI different from using an MCP server for Apify? MCP servers require configuration and can be token-heavy for complex workflows. The CLI gives agents a direct, lightweight interface — no server setup needed. Agents simply call composio commands like any other shell tool. It's faster to set up, more reliable for multi-step tool chaining, and works natively with how coding agents already operate. ### How safe is my Apify data when using the Composio CLI? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Apify data and credentials are handled as safely as possible. You can also bring your own OAuth credentials for full control. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)