CrewAI

docs.crewai.com
AI & Machine Learning

CrewAI is a platform that enables businesses to automate customer interactions through AI-powered chatbots and virtual assistants.

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CrewAI

Docs

  • GET /inputs: Get required inputs for your crew
  • Introduction: Complete reference for the CrewAI AMP REST API
  • POST /kickoff: Start a crew execution
  • POST /resume: Resume crew execution with human feedback
  • GET /status/{kickoff_id}: Get execution status
  • Changelog: Product updates, improvements, and bug fixes for CrewAI
  • Agent Capabilities: Understand the five ways to extend CrewAI agents: Tools, MCPs, Apps, Skills, and Knowledge.
  • Agents: Detailed guide on creating and managing agents within the CrewAI framework.
  • Checkpointing: Automatically save execution state so crews, flows, and agents can resume after failures.
  • CLI: Learn how to use the CrewAI CLI to interact with CrewAI.
  • Collaboration: How to enable agents to work together, delegate tasks, and communicate effectively within CrewAI teams.
  • Crews: Understanding and utilizing crews in the crewAI framework with comprehensive attributes and functionalities.
  • Event Listeners: Tap into CrewAI events to build custom integrations and monitoring
  • Files: Pass images, PDFs, audio, video, and text files to your agents for multimodal processing.
  • Flows: Learn how to create and manage AI workflows using CrewAI Flows.
  • Knowledge: What is knowledge in CrewAI and how to use it.
  • LLMs: A comprehensive guide to configuring and using Large Language Models (LLMs) in your CrewAI projects
  • Memory: Leveraging the unified memory system in CrewAI to enhance agent capabilities.
  • Planning: Learn how to add planning to your CrewAI Crew and improve their performance.
  • Processes: Detailed guide on workflow management through processes in CrewAI, with updated implementation details.
  • Production Architecture: Best practices for building production-ready AI applications with CrewAI
  • Reasoning: Learn how to enable and use agent reasoning to improve task execution.
  • Skills: Filesystem-based skill packages that inject domain expertise and instructions into agent prompts.
  • Tasks: Detailed guide on managing and creating tasks within the CrewAI framework.
  • Testing: Learn how to test your CrewAI Crew and evaluate their performance.
  • Tools: Understanding and leveraging tools within the CrewAI framework for agent collaboration and task execution.
  • Training: Learn how to train your CrewAI agents by giving them feedback early on and get consistent results.
  • A2A on AMP: Production-grade Agent-to-Agent communication with distributed state and multi-scheme authentication
  • Agent Repositories: Learn how to use Agent Repositories to share and reuse your agents across teams and projects
  • Automations: Manage, deploy, and monitor your live crews (automations) in one place.
  • Crew Studio: Build new automations with AI assistance, a visual editor, and integrated testing.
  • Flow HITL Management: Enterprise-grade human review for Flows with email-first notifications, routing rules, and auto-response capabilities
  • Hallucination Guardrail: Prevent and detect AI hallucinations in your CrewAI tasks
  • Marketplace: Discover, install, and govern reusable assets for your enterprise crews.
  • PII Redaction for Traces: Automatically redact sensitive data from crew and flow execution traces
  • Role-Based Access Control (RBAC): Control access to crews, tools, and data with roles, scopes, and granular permissions.
  • AWS Secrets Manager (Static Credentials): Configure AWS Secrets Manager as a secret provider for CrewAI Platform using static access keys or AssumeRole
  • AWS Workload Identity (OIDC Federation): Configure AWS Secrets Manager via Workload Identity for rotation-aware, credential-free secret access
  • Azure Key Vault: Configure Azure Key Vault as a secret provider for CrewAI Platform, end-to-end
  • Azure Workload Identity Federation: Configure Azure Key Vault via Microsoft Entra Workload Identity Federation for rotation-aware, credential-free secret access
  • Google Cloud Secret Manager: Configure Google Cloud Secret Manager as a secret provider for CrewAI Platform, end-to-end
  • GCP Workload Identity Federation: Configure Google Cloud Secret Manager via Workload Identity Federation for rotation-aware, credential-free secret access
  • Secrets Manager Overview: Connect external secret stores to CrewAI Platform and reference managed secrets from environment variables
  • Using the Secrets Manager: Manage permissions and reference managed secrets from environment variables in CrewAI Platform
  • Verify Rotation: A self-contained example crew that proves secret rotation propagates to running deployments without re-deploy.
  • Single Sign-On (SSO): Configure enterprise SSO authentication for CrewAI Platform — SaaS and Factory
  • Tools & Integrations: Connect external apps and manage internal tools your agents can use.
  • Traces: Using Traces to monitor your Crews
  • Webhook Streaming: Using Webhook Streaming to stream events to your webhook
  • Triggers Overview: Understand how CrewAI AMP triggers work, how to manage them, and where to find integration-specific playbooks
  • Azure OpenAI Setup: Configure Azure OpenAI with Crew Studio for enterprise LLM connections
  • Build Crew: A Crew is a group of agents that work together to complete a task.
  • OpenTelemetry Export: Export traces and logs from your CrewAI AMP deployments to your own OpenTelemetry collector
  • Custom MCP Servers: Connect your own MCP servers to CrewAI AMP with public access, API key authentication, or OAuth 2.0
  • Deploy to AMP: Deploy your Crew or Flow to CrewAI AMP
  • Enable Crew Studio: Enabling Crew Studio on CrewAI AMP
  • Gmail Trigger: Trigger automations when Gmail events occur (e.g., new emails, labels).
  • Google Calendar Trigger: Kick off crews when Google Calendar events are created, updated, or cancelled
  • Google Drive Trigger: Respond to Google Drive file events with automated crews
  • HubSpot Trigger: Trigger CrewAI crews directly from HubSpot Workflows
  • HITL Workflows: Learn how to implement Human-In-The-Loop workflows in CrewAI for enhanced decision-making
  • Kickoff Crew: Kickoff a Crew on CrewAI AMP
  • Microsoft Teams Trigger: Kick off crews from Microsoft Teams chat activity
  • Monorepo Deployments: Deploy a Crew or Flow from a subfolder in a larger repository
  • OneDrive Trigger: Automate responses to OneDrive file activity
  • Outlook Trigger: Launch automations from Outlook emails and calendar updates
  • Prepare for Deployment: Ensure your Crew or Flow is ready for deployment to CrewAI AMP
  • Private Package Registries: Install private Python packages from authenticated PyPI registries in CrewAI AMP
  • React Component Export: Learn how to export and integrate CrewAI AMP React components into your applications
  • Salesforce Trigger: Trigger CrewAI crews from Salesforce workflows for CRM automation
  • Slack Trigger: Trigger CrewAI crews directly from Slack using slash commands
  • Team Management: Learn how to invite and manage team members in your CrewAI AMP organization
  • Tool Repository: Using the Tool Repository to manage your tools
  • Update Crew: Updating a Crew on CrewAI AMP
  • Vertex AI with Workload Identity: Connect Google Vertex AI to CrewAI AMP with no service account keys — credentials are minted per-execution via OIDC workload identity federation.
  • Webhook Automation: Automate CrewAI AMP workflows using webhooks with platforms like ActivePieces, Zapier, and Make.com
  • Zapier Trigger: Trigger CrewAI crews from Zapier workflows to automate cross-app workflows
  • Asana Integration: Team task and project coordination with Asana integration for CrewAI.
  • Box Integration: File storage and document management with Box integration for CrewAI.
  • ClickUp Integration: Task and productivity management with ClickUp integration for CrewAI.
  • Databricks Integration: Connect CrewAI agents to Databricks Genie, SQL, Unity Catalog Functions, and Vector Search through Databricks managed MCP servers.
  • GitHub Integration: Repository and issue management with GitHub integration for CrewAI.
  • Gmail Integration: Email and contact management with Gmail integration for CrewAI.
  • Google Calendar Integration: Event and schedule management with Google Calendar integration for CrewAI.
  • Google Contacts Integration: Contact and directory management with Google Contacts integration for CrewAI.
  • Google Docs Integration: Document creation and editing with Google Docs integration for CrewAI.
  • Google Drive Integration: File storage and management with Google Drive integration for CrewAI.
  • Google Sheets Integration: Spreadsheet data synchronization with Google Sheets integration for CrewAI.
  • Google Slides Integration: Presentation creation and management with Google Slides integration for CrewAI.
  • HubSpot Integration: Manage companies and contacts in HubSpot with CrewAI.
  • Jira Integration: Issue tracking and project management with Jira integration for CrewAI.
  • Linear Integration: Software project and bug tracking with Linear integration for CrewAI.
  • Microsoft Excel Integration: Workbook and data management with Microsoft Excel integration for CrewAI.
  • Microsoft OneDrive Integration: File and folder management with Microsoft OneDrive integration for CrewAI.
  • Microsoft Outlook Integration: Email, calendar, and contact management with Microsoft Outlook integration for CrewAI.
  • Microsoft SharePoint Integration: Site, list, and document management with Microsoft SharePoint integration for CrewAI.
  • Microsoft Teams Integration: Team collaboration and communication with Microsoft Teams integration for CrewAI.
  • Microsoft Word Integration: Document creation and management with Microsoft Word integration for CrewAI.
  • Notion Integration: User management and commenting with Notion integration for CrewAI.
  • Salesforce Integration: CRM and sales automation with Salesforce integration for CrewAI.
  • Shopify Integration: E-commerce and online store management with Shopify integration for CrewAI.
  • Slack Integration: Team communication and collaboration with Slack integration for CrewAI.
  • Snowflake Integration: Connect CrewAI agents to Snowflake Cortex Analyst, Cortex Search, and SQL execution through the Snowflake-managed MCP server.
  • Stripe Integration: Payment processing and subscription management with Stripe integration for CrewAI.
  • Zendesk Integration: Customer support and helpdesk management with Zendesk integration for CrewAI.
  • CrewAI AMP: Deploy, monitor, and scale your AI agent workflows
  • FAQs: Frequently asked questions about CrewAI AMP
  • CrewAI Cookbooks: Feature-focused quickstarts and notebooks for learning patterns fast.
  • CrewAI Examples: Explore curated examples organized by Crews, Flows, Integrations, and Notebooks.
  • Customizing Prompts: Dive deeper into low-level prompt customization for CrewAI, enabling super custom and complex use cases for different models and languages.
  • Fingerprinting: Learn how to use CrewAI's fingerprinting system to uniquely identify and track components throughout their lifecycle.
  • Crafting Effective Agents: Learn best practices for designing powerful, specialized AI agents that collaborate effectively to solve complex problems.
  • Coding Tools: Use AGENTS.md to guide coding agents and IDEs across your CrewAI projects.
  • Build with AI: Everything AI coding agents need to build, deploy, and scale with CrewAI — skills, machine-readable docs, deployment, and enterprise features.
  • Evaluating Use Cases for CrewAI: Learn how to assess your AI application needs and choose the right approach between Crews and Flows based on complexity and precision requirements.
  • Build Your First Crew: Step-by-step tutorial to create a collaborative AI team that works together to solve complex problems.
  • Conversational Flows: Build multi-turn chat apps with handle_turn per turn, message history, intent routing, tracing, and WebSocket bridges.
  • Build Your First Flow: Learn how to create structured, event-driven workflows with precise control over execution.
  • Migrating from inputs.id to restore_from_state_id: Move @persist flows off the deprecated inputs.id hydration onto the supported restore_from_state_id field
  • Mastering Flow State Management: A comprehensive guide to managing, persisting, and leveraging state in CrewAI Flows for building robust AI applications.
  • Moving from LangGraph to CrewAI: A Practical Guide for Engineers: If you already have built with LangGraph, learn how to quickly port your projects to CrewAI
  • Upgrading CrewAI: How to upgrade CrewAI in your project and adapt to breaking changes between versions.
  • Publish Custom Tools: How to build, package, and publish your own CrewAI-compatible tools to PyPI so any CrewAI user can install and use them.
  • Installation: Get started with CrewAI - Install, configure, and build your first AI crew
  • Introduction: Build AI agent teams that work together to tackle complex tasks
  • Coding Agents: Learn how to enable your CrewAI Agents to write and execute code, and explore advanced features for enhanced functionality.
  • Conditional Tasks: Learn how to use conditional tasks in a crewAI kickoff
  • Create Custom Tools: Comprehensive guide on crafting, using, and managing custom tools within the CrewAI framework, including new functionalities and error handling.
  • Custom LLM Implementation: Learn how to create custom LLM implementations in CrewAI.
  • Custom Manager Agent: Learn how to set a custom agent as the manager in CrewAI, providing more control over task management and coordination.
  • Customize Agents: A comprehensive guide to tailoring agents for specific roles, tasks, and advanced customizations within the CrewAI framework.
  • Image Generation with DALL-E: Learn how to use DALL-E for AI-powered image generation in your CrewAI projects
  • Execution Hooks Overview: Understanding and using execution hooks in CrewAI for fine-grained control over agent operations
  • Force Tool Output as Result: Learn how to force tool output as the result in an Agent's task in CrewAI.
  • Hierarchical Process: A comprehensive guide to understanding and applying the hierarchical process within your CrewAI projects, updated to reflect the latest coding practices and functionalities.
  • Human Feedback in Flows: Learn how to integrate human feedback directly into your CrewAI Flows using the @human_feedback decorator
  • Human-in-the-Loop (HITL) Workflows: Learn how to implement Human-in-the-Loop workflows in CrewAI for enhanced decision-making
  • Human Input on Execution: Integrating CrewAI with human input during execution in complex decision-making processes and leveraging the full capabilities of the agent's attributes and tools.
  • Kickoff Crew Asynchronously: Kickoff a Crew Asynchronously
  • Kickoff Crew for Each: Kickoff Crew for Each Item in a List
  • Using CrewAI Without LiteLLM: How to use CrewAI with native provider integrations and remove the LiteLLM dependency from your project.
  • Connect to any LLM: Comprehensive guide on integrating CrewAI with various Large Language Models (LLMs) using LiteLLM, including supported providers and configuration options.
  • LLM Call Hooks: Learn how to use LLM call hooks to intercept, modify, and control language model interactions in CrewAI
  • Strategic LLM Selection Guide: Strategic framework for choosing the right LLM for your CrewAI AI agents and writing effective task and agent definitions
  • Using Multimodal Agents: Learn how to enable and use multimodal capabilities in your agents for processing images and other non-text content within the CrewAI framework.
  • Overview: Learn how to build, customize, and optimize your CrewAI applications with comprehensive guides and tutorials
  • Replay Tasks from Latest Crew Kickoff: Replay tasks from the latest crew.kickoff(...)
  • Sequential Processes: A comprehensive guide to utilizing the sequential processes for task execution in CrewAI projects.
  • Tool Call Hooks: Learn how to use tool call hooks to intercept, modify, and control tool execution in CrewAI
  • Using Annotations in crew.py: Learn how to use annotations to properly structure agents, tasks, and components in CrewAI
  • MCP DSL Integration: Learn how to use CrewAI's simple DSL syntax to integrate MCP servers directly with your agents using the mcps field.
  • Connecting to Multiple MCP Servers: Learn how to use MCPServerAdapter in CrewAI to connect to multiple MCP servers simultaneously and aggregate their tools.
  • MCP Servers as Tools in CrewAI: Learn how to integrate MCP servers as tools in your CrewAI agents using the crewai-tools library.
  • MCP Security Considerations: Learn about important security best practices when integrating MCP servers with your CrewAI agents.
  • SSE Transport: Learn how to connect CrewAI to remote MCP servers using Server-Sent Events (SSE) for real-time communication.
  • Stdio Transport: Learn how to connect CrewAI to local MCP servers using the Stdio (Standard Input/Output) transport mechanism.
  • Streamable HTTP Transport: Learn how to connect CrewAI to remote MCP servers using the flexible Streamable HTTP transport.
  • Arize Phoenix: Arize Phoenix integration for CrewAI with OpenTelemetry and OpenInference
  • Braintrust: Braintrust integration for CrewAI with OpenTelemetry tracing and evaluation
  • Datadog Integration: Learn how to integrate Datadog with CrewAI to submit LLM Observability traces to Datadog.
  • Galileo: Galileo integration for CrewAI tracing and evaluation
  • LangDB Integration: Govern, secure, and optimize your CrewAI workflows with LangDB AI Gateway—access 350+ models, automatic routing, cost optimization, and full observability.
  • Langfuse Integration: Learn how to integrate Langfuse with CrewAI via OpenTelemetry using OpenLit
  • Langtrace Integration: How to monitor cost, latency, and performance of CrewAI Agents using Langtrace, an external observability tool.
  • Maxim Integration: Start Agent monitoring, evaluation, and observability
  • MLflow Integration: Quickly start monitoring your Agents with MLflow.
  • Neatlogs Integration: Understand, debug, and share your CrewAI agent runs
  • OpenLIT Integration: Quickly start monitoring your Agents in just a single line of code with OpenTelemetry.
  • Opik Integration: Learn how to use Comet Opik to debug, evaluate, and monitor your CrewAI applications with comprehensive tracing, automated evaluations, and production-ready dashboards.
  • Overview: Monitor, evaluate, and optimize your CrewAI agents with comprehensive observability tools
  • Patronus AI Evaluation: Monitor and evaluate CrewAI agent performance using Patronus AI's comprehensive evaluation platform for LLM outputs and agent behaviors.
  • Portkey Integration: How to use Portkey with CrewAI
  • CrewAI Tracing: Built-in tracing for CrewAI Crews and Flows with the CrewAI AMP platform
  • TrueFoundry Integration
  • Weave Integration: Learn how to use Weights & Biases (W&B) Weave to track, experiment with, evaluate, and improve your CrewAI applications.
  • Quickstart: Build your first CrewAI Flow in minutes — orchestration, state, and an agent crew that produces a real report.
  • Skills: Install crewaiinc/skills from the official registry at skills.sh—Flows, Crews, and docs-aware agents for Claude Code, Cursor, Codex, and more.
  • Telemetry: Understanding the telemetry data collected by CrewAI and how it contributes to the enhancement of the library.
  • AI Mind Tool: The AIMindTool is designed to query data sources in natural language.
  • Code Interpreter: The CodeInterpreterTool is a powerful tool designed for executing Python 3 code within a secure, isolated environment.
  • DALL-E Tool: The DallETool is a powerful tool designed for generating images from textual descriptions.
  • Daytona Sandbox Tools: Run shell commands, execute Python, and manage files inside isolated Daytona sandboxes.
  • E2B Sandbox Tools: The E2BExecTool, E2BPythonTool, and E2BFileTool give CrewAI agents shell, Python, and filesystem access inside isolated, ephemeral E2B remote sandboxes.
  • LangChain Tool: The LangChainTool is a wrapper for LangChain tools and query engines.
  • LlamaIndex Tool: The LlamaIndexTool is a wrapper for LlamaIndex tools and query engines.
  • Overview: Leverage AI services, generate images, process vision, and build intelligent systems
  • RAG Tool: The RagTool is a dynamic knowledge base tool for answering questions using Retrieval-Augmented Generation.
  • Vision Tool: The VisionTool is designed to extract text from images.
  • Apify Actors: ApifyActorsTool lets you call Apify Actors to provide your CrewAI workflows with web scraping, crawling, data extraction, and web automation capabilities.
  • Composio Tool: Composio provides 250+ production-ready tools for AI agents with flexible authentication management.
  • MultiOn Tool: The MultiOnTool empowers CrewAI agents with the capability to navigate and interact with the web through natural language instructions.
  • Overview: Automate workflows and integrate with external platforms and services
  • Zapier Actions Tool: The ZapierActionsAdapter exposes Zapier actions as CrewAI tools for automation.
  • Bedrock Knowledge Base Retriever: Retrieve information from Amazon Bedrock Knowledge Bases using natural language queries
  • Overview: Interact with cloud services, storage systems, and cloud-based AI platforms
  • S3 Reader Tool: The S3ReaderTool enables CrewAI agents to read files from Amazon S3 buckets.
  • S3 Writer Tool: The S3WriterTool enables CrewAI agents to write content to files in Amazon S3 buckets.
  • MongoDB Vector Search Tool: The MongoDBVectorSearchTool performs vector search on MongoDB Atlas with optional indexing helpers.
  • MySQL RAG Search: The MySQLSearchTool is designed to search MySQL databases and return the most relevant results.
  • NL2SQL Tool: The NL2SQLTool is designed to convert natural language to SQL queries.
  • Overview: Connect to databases, vector stores, and data warehouses for comprehensive data access
  • PG RAG Search: The PGSearchTool is designed to search PostgreSQL databases and return the most relevant results.
  • Qdrant Vector Search Tool: Semantic search capabilities for CrewAI agents using Qdrant vector database
  • SingleStore Search Tool: The SingleStoreSearchTool safely executes SELECT/SHOW queries on SingleStore with pooling.
  • Snowflake Search Tool: The SnowflakeSearchTool enables CrewAI agents to execute SQL queries and perform semantic search on Snowflake data warehouses.
  • Weaviate Vector Search: The WeaviateVectorSearchTool is designed to search a Weaviate vector database for semantically similar documents using hybrid search.
  • CSV RAG Search: The CSVSearchTool is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a CSV file's content.
  • Directory Read: The DirectoryReadTool is a powerful utility designed to provide a comprehensive listing of directory contents.
  • Directory RAG Search: The DirectorySearchTool is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within a directory's content.
  • DOCX RAG Search: The DOCXSearchTool is a RAG tool designed for semantic searching within DOCX documents.
  • File Read: The FileReadTool is designed to read files from the local file system.
  • File Write: The FileWriterTool is designed to write content to files.
  • JSON RAG Search: The JSONSearchTool is designed to search JSON files and return the most relevant results.
  • MDX RAG Search: The MDXSearchTool is designed to search MDX files and return the most relevant results.
  • OCR Tool: The OCRTool extracts text from local images or image URLs using an LLM with vision.
  • Overview: Read, write, and search through various file formats with CrewAI's document processing tools
  • PDF Text Writing Tool: The PDFTextWritingTool writes text to specific positions in a PDF, supporting custom fonts.
  • PDF RAG Search: The PDFSearchTool is designed to search PDF files and return the most relevant results.
  • TXT RAG Search: The TXTSearchTool is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a text file.
  • XML RAG Search: The XMLSearchTool is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a XML file.
  • Bedrock Invoke Agent Tool: Enables CrewAI agents to invoke Amazon Bedrock Agents and leverage their capabilities within your workflows
  • CrewAI Run Automation Tool: Enables CrewAI agents to invoke CrewAI Platform automations and leverage external crew services within your workflows.
  • Merge Agent Handler Tool: Enables CrewAI agents to securely access third-party integrations like Linear, GitHub, Slack, and more through Merge's Agent Handler platform
  • Overview: Connect CrewAI agents with external automations and managed AI services
  • Tools Overview: Discover CrewAI's extensive library of 40+ tools to supercharge your AI agents
  • Arxiv Paper Tool: The ArxivPaperTool searches arXiv for papers matching a query and optionally downloads PDFs.
  • Brave Search Tools: A suite of tools for querying the Brave Search API — covering web, news, image, and video search.
  • Code Docs RAG Search: The CodeDocsSearchTool is a powerful RAG (Retrieval-Augmented Generation) tool designed for semantic searches within code documentation.
  • Databricks SQL Query Tool: The DatabricksQueryTool executes SQL queries against Databricks workspace tables.
  • Exa Search Tool: Search the web with Exa, the fastest and most accurate web search API. Get token-efficient highlights and full page content.
  • Github Search: The GithubSearchTool is designed to search websites and convert them into clean markdown or structured data.
  • Linkup Search Tool: The LinkupSearchTool enables querying the Linkup API for contextual information.
  • Overview: Perform web searches, find repositories, and research information across the internet
  • SerpApi Google Search Tool: The SerpApiGoogleSearchTool performs Google searches using the SerpApi service.
  • SerpApi Google Shopping Tool: The SerpApiGoogleShoppingTool searches Google Shopping results using SerpApi.
  • Google Serper Search: The SerperDevTool is designed to search the internet and return the most relevant results.
  • Tavily Extractor Tool: Extract structured content from web pages using the Tavily API
  • Tavily Research Tool: Run multi-step research tasks and get cited reports using the Tavily Research API
  • Tavily Search Tool: Perform comprehensive web searches using the Tavily Search API
  • Website RAG Search: The WebsiteSearchTool is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a website.
  • You.com Search & Research Tools: Web search and AI-powered research via You.com's remote MCP server — includes a free tier with 100 queries/day.
  • YouTube Channel RAG Search: The YoutubeChannelSearchTool is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube channel.
  • YouTube Video RAG Search: The YoutubeVideoSearchTool is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a Youtube video.
  • Bright Data Tools: Bright Data integrations for SERP search, Web Unlocker scraping, and Dataset API.
  • Browserbase Web Loader: Browserbase is a developer platform to reliably run, manage, and monitor headless browsers.
  • Firecrawl Crawl Website: The FirecrawlCrawlWebsiteTool is designed to crawl and convert websites into clean markdown or structured data.
  • Firecrawl Scrape Website: The FirecrawlScrapeWebsiteTool is designed to scrape websites and convert them into clean markdown or structured data.
  • Hyperbrowser Load Tool: The HyperbrowserLoadTool enables web scraping and crawling using Hyperbrowser.
  • Overview: Extract data from websites and automate browser interactions with powerful scraping tools
  • Oxylabs Scrapers: Oxylabs Scrapers allow to easily access the information from the respective sources. Please see the list of available sources below: - Amazon Product - Amazon Search - Google Seach - Universal
  • Scrape Element From Website Tool: The ScrapeElementFromWebsiteTool enables CrewAI agents to extract specific elements from websites using CSS selectors.
  • Scrapegraph Scrape Tool: The ScrapegraphScrapeTool leverages Scrapegraph AI's SmartScraper API to intelligently extract content from websites.
  • Scrape Website: The ScrapeWebsiteTool is designed to extract and read the content of a specified website.
  • Scrapfly Scrape Website Tool: The ScrapflyScrapeWebsiteTool leverages Scrapfly's web scraping API to extract content from websites in various formats.
  • Selenium Scraper: The SeleniumScrapingTool is designed to extract and read the content of a specified website using Selenium.
  • Spider Scraper: The SpiderTool is designed to extract and read the content of a specified website using Spider.
  • Stagehand Tool: Web automation tool that integrates Stagehand with CrewAI for browser interaction and automation
  • You.com Content Extraction Tool: Extract full page content from URLs in markdown, HTML, or metadata format via You.com's remote MCP server.
  • CrewAI Documentation: Build collaborative AI agents, crews, and flows — production ready from day one.

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