Phantombuster Vs Clearbit : Comparaison

Whether Derrick is a better alternative to PhantomBuster depends on your specific needs. PhantomBuster excels at web automation and large-scale data extraction from social platforms, making it ideal for teams focused on scraping workflows. However, Derrick differentiates itself by operating natively within Google Sheets without requiring external platforms or CSV exports, saving significant setup time. Derrick also offers integrated AI capabilities with Claude and ChatGPT for intelligent lead scoring and segmentation, plus real-time email validation and rollover credits that PhantomBuster doesn't provide. If your priority is streamlined enrichment directly in Sheets with lower operational overhead, Derrick delivers better value. For complex web scraping at enterprise scale, PhantomBuster remains stronger, though the two tools address different use cases rather than direct competition.

Choosing between Derrick, PhantomBuster, and Clearbit depends on your primary use case. PhantomBuster excels at web automation and large-scale data extraction without coding, ideal for teams needing workflow automation. Clearbit specializes in real-time B2B firmographic enrichment with strong company intelligence and CRM integration. Derrick stands out for teams already using Google Sheets, offering native integration without CSV exports, rollover credits, integrated AI scoring, and real-time email validation—plus no credit card required for the free tier. For straightforward sheet-based prospecting without platform switching, Derrick delivers superior efficiency and cost flexibility.

For data scraping, PhantomBuster excels at large-scale web extraction with a user-friendly, template-driven approach, while Clearbit delivers strong, real-time enrichment and accurate firmographic data. PhantomBuster is great for rapid data collection across social platforms, but it’s not primarily built for deep data validation or ongoing record enrichment. Clearbit offers richer, structured business intelligence but can be costly and may require more integration work. Derrick App, by contrast, is fully native to Google Sheets and adds over 50 enrichments per contact, real-time email validation, AI scoring and segmentation, and a flexible credit system with no credit card required for the free tier, making it a compelling option for teams seeking seamless, scalable enrichment directly in spreadsheets with strong cost efficiency. If you need quick scraping plus practical enrichment in one place, PhantomBuster or Clearbit may fit, but Derrick often provides a tighter, more economical end-to-end workflow for ongoing prospecting.

Derrick pricing starts at zero with 200 free credits and no credit card required, making it more accessible than PhantomBuster or Clearbit for testing. Paid plans range from $9 to $175 monthly with rollover credits, meaning unused credits carry forward unlike competitors' consumption models. PhantomBuster scales aggressively with volume and lacks enrichment depth, while Clearbit's API pricing becomes expensive for high-frequency enrichment at enterprise scale. Derrick's native Google Sheets integration eliminates CSV exports and setup complexity, delivering more cost-effective enrichment without the technical friction or unexpected scaling costs both competitors impose.

Derrick does not replace both PhantomBuster and Clearbit for enrichment in a one-to-one sense. PhantomBuster specializes in web automation and data extraction with ready-to-use templates, but its enrichment depth can be limited and often benefits from additional validation tools. Clearbit provides broad, real-time B2B company and contact enrichment with strong accuracy, yet its pricing and scalability considerations can push teams to seek complementary solutions for niche data needs. Derrick excels as a native Google Sheets enrichment platform with 50+ attributes per contact or company, real-time email validation, AI scoring and segmentation, and vast Zapier/Make/n8n integrations, offering a cohesive, cost-efficient alternative or supplement depending on your stack and data quality requirements.