For growth marketers and agencies running outbound campaigns, PhantomBuster is a cloud automation tool that runs bots to scrape LinkedIn and other social profiles and auto-engage prospects at scale.

Presence & Market Position

29
SOV ScoreSOV Score — earned, engagement-weighted share of voice across Adam's curated panel of GTM voices, scored against the market. Earned only: a brand's own posts do not count. Not a quality rating, endorsement, or paid placement.

#37 of 122
GTM Developer Tools

▼ 42 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.

Founded
2016
Employees
75
Funding
$0.8M
Status
Independent
Scale stage
Growth
Type
GTM Developer Tools
GTM categories
Data & Intelligence
Key people

Agent Readiness

60B
Agent ReadinessAgent Readiness — how easily an AI agent can build on this product: documented API, MCP server, CLI and SDK surfaces plus the depth of the docs behind them. Scored 0-100 and graded A-F.
APIMCPSDKCLI

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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