PHSC

B2B SaaS Provider · MarTech Vendor · vs · Data Provider / Broker · B2B SaaS Provider

PhantomBuster vs ScrapeStorm

Structured technology and market comparison · 2026

Direct Feature Comparison

PhantomBuster · vs · ScrapeStorm
Market Cluster / Sector
PhantomBusterB2B SaaS Provider · MarTech Vendor
ScrapeStormData Provider / Broker · B2B SaaS Provider
Platform Focus
PhantomBuster

B2B SaaS for lead extraction and outreach automation.

ScrapeStorm

No-code web scraping software with API and enterprise services.

Company Size
PhantomBuster50–200 employees
ScrapeStorm<10 employees
Headquarters
PhantomBusterFR
ScrapeStormRU
Year Founded
PhantomBuster2015
ScrapeStormUnknown

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Comparison Analysis

What is the main difference between PhantomBuster and ScrapeStorm?

When comparing PhantomBuster and ScrapeStorm, both platforms operate within the B2B SaaS Provider ecosystem. PhantomBuster is positioned as B2B SaaS for lead extraction and outreach automation, whereas ScrapeStorm focuses on No-code web scraping software with API and enterprise services. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.

What are the top alternatives to PhantomBuster and ScrapeStorm?

When evaluating PhantomBuster and ScrapeStorm, enterprise buyers also consider other platforms in B2B SaaS Provider. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.

How do the corporate scale, structure, and headquarters of PhantomBuster and ScrapeStorm compare?

PhantomBuster is headquartered in FR (founded in 2015) with 50–200 employees. ScrapeStorm is based in RU (founding year unrecorded) with <10 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.

Compare their exact ecosystem overlaps.

Explore all deep relationships in Polaris7. Discover exactly which mutual clients, integrated technologies, and overlapping partners PhantomBuster and ScrapeStorm share across the market ecosystem.