Free
$0Free plan available.
PhantomBuster is a cloud-based automation software designed to help businesses generate leads, enrich data, and automate outreach campaigns. It provides a code-free environment with over one hundred pre-built automations (Phantoms) and workflows (Flows) that can extract data from major networks and websites, personalize outreach messages, and integrate with popular CRM tools. PhantomBuster aims to streamline repetitive tasks, allowing users to focus on strategic growth initiatives.
Users can select from a library of Phantoms and Flows to automate specific tasks, such as scraping LinkedIn profiles, finding professional email addresses, or sending personalized connection requests. These automations can be scheduled to run automatically, and the extracted data can be exported to spreadsheets or integrated with CRM systems.
PhantomBuster is a cloud-based automation platform that enables businesses to generate leads, enrich data, and automate outreach campaigns without requiring coding skills.
You can automate various tasks, including scraping data from LinkedIn, locating professional email addresses, sending personalized connection requests, and syncing data with CRM systems.
No, PhantomBuster offers a code-free environment with pre-built automations (Phantoms and Flows) accessible to all users.
PhantomBuster supports integrations with popular CRM platforms, including Salesforce, HubSpot, and Pipedrive.
Yes, PhantomBuster provides a 14-day free trial that does not require a credit card.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to PhantomBuster.
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Compare Gemini 1.0 Pro Vision Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.
Compare Gemini 1.5 Pro Vision Deprecated and Gemini 1.0 Pro Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.
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