For growth marketers and agencies, PhantomBuster is a cloud automation platform that runs pre-built bots to scrape LinkedIn and social profiles, send connection requests, and extract lead data at scale.
Presence & Market Position
#29 of 103
GTM Developer Tools
▲ 60 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
PhantomBuster positions itself as a cloud automation platform that runs pre-built bots to scrape LinkedIn and other social profiles, send connection requests, and pull lead data into an outreach workflow, aimed at growth marketers and agencies building lead-generation stacks. In practitioner conversation, it shows up consistently inside GTM tool-stack breakdowns and workflow walkthroughs, named alongside scraping and outreach tools like Clay, Apify, and HeyReach as part of the operating layer those workflows run on rather than as fresh launch news. It reads as one of the steady, workhorse tools operators build around rather than a name generating new-launch buzz.
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Business Profile
PhantomBuster launched in 2016 out of Paris, founded by Guillaume Boiret, and has stayed independent and largely self-funded since, with total disclosed funding under $1 million against a team that has grown to roughly 75 people. That is a small capital base for a company a decade into building its automation product, and the growth path has run through product usage and revenue rather than large venture rounds. The company remains founder-led and continues to operate as a standalone platform out of Paris.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
PhantomBuster ships a documented HTTPS API (versions v1 and v2) that lets external systems trigger, schedule, and pull results from its "phantoms," each built from a script, a configured agent instance, and a scheduled setup. The company also publishes an llms.txt index of its full developer documentation in Markdown with OpenAPI endpoint definitions, a format built specifically for AI agents to read and act on. No MCP server is on file yet.
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