phantombuster
Control PhantomBuster automation agents via API. List agents, launch automations, get output/results, check status, and abort running agents. Use when the user needs to run LinkedIn scraping, Twitter automation, lead generation phantoms, or any PhantomBuster workflow.
Why use this skill?
Efficiently control your PhantomBuster agents via OpenClaw. Launch LinkedIn scrapers, fetch results, and manage your cloud automations directly from your terminal.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/andrewdmwalker/phantombusterWhat This Skill Does
The PhantomBuster skill provides a robust command-line interface for the PhantomBuster automation platform, allowing users to interact directly with their configured agents without needing to navigate the web console. This skill acts as a bridge between your local workflow and the cloud-based automation infrastructure. Users can programmatically trigger data scraping, manage lead generation tasks, and monitor the status of long-running workflows. By utilizing this skill, you can automate repetitive LinkedIn, Twitter, or Google Maps tasks directly through the OpenClaw agent, enabling seamless integration of cloud data into your local environment.
Installation
To begin, ensure you have the OpenClaw CLI installed. Execute the following command in your terminal to integrate the skill into your local environment:
clawhub install openclaw/skills/skills/andrewdmwalker/phantombuster
Once installed, you must configure the environment to authenticate with the PhantomBuster API. Obtain your API key from the 'Workspace Settings' page in your PhantomBuster account. Add this to your shell profile:
export PHANTOMBUSTER_API_KEY=your-api-key-here
Verify installation by running python3 pb.py list to ensure your account agents are correctly indexed.
Use Cases
This skill is ideal for growth hackers, researchers, and developers who rely on automated lead generation. Common use cases include:
- Automated Prospecting: Triggering a LinkedIn Sales Navigator scraper every morning to populate a local CRM database.
- Data Enrichment: Running profile scrapers for custom lists of URLs to gather professional insights.
- Social Monitoring: Batching Twitter follower collections or Instagram profile exports to track audience growth.
- Reporting: Downloading CSV result files directly from cloud storage to your local directory for immediate data analysis.
Example Prompts
- "List my PhantomBuster agents and tell me which ones are currently running."
- "Launch my LinkedIn Sales Navigator search phantom using the argument: '{"search": "CTO tech startups"}'"
- "Fetch the result CSV file from my latest Twitter follower collection agent and save it to results.csv."
Tips & Limitations
- Rate Limits: PhantomBuster execution is governed by your plan's hourly or daily time limits. Ensure you monitor your usage to avoid unexpected pauses in automation.
- Authentication: Keep your API key secure; do not hardcode it directly into scripts, but rather rely on environment variables as indicated.
- Data Volume: Downloading large CSV result files may require stable network connections. If results are massive, consider using the --json output flags to parse smaller chunks of data first.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-andrewdmwalker-phantombuster": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: external-api, file-write, file-read
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