PhantomBuster Automation
by ComposioHQPhantomBuster Automation helps Claude operate PhantomBuster through Composio MCP to list agents and scripts, monitor quotas, inspect runs, and support controlled web scraping or lead generation workflows.
This skill scores 68/100, which means it is acceptable for directory listing but should be presented as a lightweight Composio MCP tool guide rather than a fully developed automation playbook. Directory users get enough evidence to understand the PhantomBuster use case and likely triggers, but should expect to supply operational judgment for parameters, edge cases, and workflow design.
- Valid skill metadata with a clear MCP requirement (`rube`) and a focused description for PhantomBuster lead generation, scraping, and social data extraction automation.
- Setup section explains connecting a PhantomBuster account through the Composio MCP server and notes that `PHANTOMBUSTER_*` tools become available after authentication.
- Core workflows name concrete tools such as `PHANTOMBUSTER_GET_AGENTS_FETCH_ALL` and `PHANTOMBUSTER_GET_SCRIPTS_FETCH_ALL`, giving agents more triggerable actions than a generic prompt.
- No install command or support files are included; adoption depends on already knowing how to use the Composio/Rube MCP setup.
- Workflow guidance appears tool-oriented and light on constraints, examples, error handling, or decision rules for when to use specific PhantomBuster actions.
Overview of PhantomBuster Automation skill
What PhantomBuster Automation does
PhantomBuster Automation is a Claude skill for operating PhantomBuster through Composio’s MCP integration. It helps an AI agent list PhantomBuster agents and scripts, monitor organization resources, inspect container runs, and handle related automation tasks without manually switching between dashboards for every lookup.
Best fit for automation and scraping teams
This skill is most useful if you already use PhantomBuster for lead generation, enrichment, social media extraction, or lightweight web scraping workflows. It is not a scraper by itself; it is an orchestration layer that lets Claude call available PHANTOMBUSTER_* tools through Composio after your PhantomBuster account is connected.
Why it is different from a generic prompt
A normal prompt can explain PhantomBuster strategy, but it cannot fetch your agents, scripts, quotas, or container execution data. The PhantomBuster Automation skill gives Claude a specific operating context: use Composio MCP, authenticate through https://rube.app/mcp, call the PhantomBuster toolkit, and use IDs returned from one tool as inputs for follow-up actions.
Key adoption considerations
Before installing, confirm that your environment supports MCP tools and that you can connect PhantomBuster through Composio. The repository currently provides a single SKILL.md, so expect a compact skill rather than a large framework with scripts, test fixtures, or examples. That is acceptable for tool orchestration, but you should rely on the linked toolkit docs for exact parameter behavior.
How to Use PhantomBuster Automation skill
PhantomBuster Automation install context
Install the skill from the Composio skills repository, then make sure your Claude environment can use the required MCP server:
npx skills add ComposioHQ/awesome-claude-skills --skill "PhantomBuster Automation"
The skill declares an MCP dependency on rube. In practice, you need to connect your PhantomBuster account through Composio at https://rube.app/mcp. If no active connection exists, the agent should prompt you with an authentication link. After connection, the relevant PHANTOMBUSTER_* tools become available.
Inputs the skill needs from you
For good PhantomBuster Automation usage, provide the operational goal, the data source or workflow type, and the level of access you want Claude to use. For example, “audit all active LinkedIn lead generation agents and identify recent failed containers” is stronger than “check PhantomBuster.”
Useful inputs include:
- The target workflow: lead generation, profile enrichment, social monitoring, web scraping, or quota review
- Known PhantomBuster agent IDs, if you already have them
- Whether Claude should only inspect data or also propose operational changes
- Time window for container or execution review
- Any quota, compliance, rate-limit, or data-handling constraints
Prompt pattern for better tool calls
Turn a rough request into an action-oriented prompt that matches the skill’s tool flow:
“Use PhantomBuster Automation to list all PhantomBuster agents, identify which ones appear related to lead generation, then fetch recent container or execution information where available. Summarize failed or resource-heavy automations, include the agent IDs you used, and do not make changes without asking.”
This works better because it tells Claude to start with inventory, preserve IDs for follow-up calls, and separate inspection from action. For PhantomBuster Automation for Web Scraping, add the target site category, allowed fields, and any anti-abuse boundaries so the agent does not optimize for extraction volume alone.
Repository files to read first
Start with composio-skills/phantombuster-automation/SKILL.md. It contains the full setup notes, core workflows, and tool names such as PHANTOMBUSTER_GET_AGENTS_FETCH_ALL and PHANTOMBUSTER_GET_SCRIPTS_FETCH_ALL. There are no extra scripts/, resources/, rules/, or README.md files in this skill path, so the next best reference is the official toolkit documentation linked from the skill: https://composio.dev/toolkits/phantombuster.
PhantomBuster Automation skill FAQ
Is PhantomBuster Automation beginner-friendly?
It is beginner-friendly for users who already understand what PhantomBuster agents and scripts are. If you are new to PhantomBuster itself, learn the dashboard concepts first: agents, scripts, containers, organization quotas, and API authentication. The skill can guide operations, but it does not replace understanding what each automation collects.
Can it run web scraping and lead generation automatically?
The skill can help Claude operate PhantomBuster tools through Composio, including listing agents and scripts and monitoring execution. Whether it can launch, modify, or solve a specific workflow depends on the available PHANTOMBUSTER_* tools in your connected Composio environment and your account permissions. Use it as controlled automation, not a blank check for unattended scraping.
How does this compare with using PhantomBuster directly?
Use the PhantomBuster dashboard when you need visual setup, manual configuration, or detailed review of a single agent. Use PhantomBuster Automation when you want Claude to inventory many automations, summarize execution state, connect IDs across API calls, or produce an operational report from multiple PhantomBuster resources.
When should I not use this skill?
Do not use it if you cannot connect PhantomBuster through Composio MCP, if your organization forbids AI-mediated access to lead data, or if you need a complete scraping compliance framework. Also avoid using it for websites or platforms where automation violates terms, consent requirements, or data protection rules.
How to Improve PhantomBuster Automation skill
Give PhantomBuster Automation stronger operating goals
The biggest quality improvement comes from replacing broad commands with scoped operational tasks. Instead of “analyze my PhantomBuster,” ask for “list all agents, group them by apparent purpose, check resource usage and recent container failures, then produce a prioritized cleanup plan.” This gives the agent a reason to call multiple tools in a logical order.
Reduce failures with IDs, scope, and permissions
Common failure modes include missing authentication, unavailable MCP tools, ambiguous agent names, and asking Claude to inspect containers without first retrieving agent IDs. Start with inventory calls, store returned IDs in the conversation, then request deeper checks. If a tool fails, ask Claude to report the exact tool name, parameters used, and whether the issue appears to be authentication, permissions, or missing data.
Improve output quality after the first run
After the first report, iterate with tighter filters: “only agents modified in the last 30 days,” “only failed containers,” “only workflows related to LinkedIn,” or “only quota risks.” Ask for a table with agent ID, suspected purpose, last known status, resource concern, and recommended next action. This makes PhantomBuster Automation usage more auditable and easier to hand off to an operations team.
Add local guidance if your team standardizes scraping
For team use, extend your local instructions with approved data sources, prohibited targets, naming conventions for PhantomBuster agents, acceptable run frequencies, and escalation rules for captcha or quota events. The upstream skill is intentionally compact, so team-specific policy is where you can make PhantomBuster Automation safer and more reliable without changing the core MCP integration.
