# Clearbit Vs Kaspr : Comparaison

> **Quick answer**: Clearbit offers broad firmographic data and API-first enrichment, Kaspr specializes in real-time LinkedIn contact scraping with Chrome extension access, and Derrick provides 100% native Google Sheets enrichment at €9 per month with 50+ attributes per contact and credit rollover. Choose Clearbit for enterprise API integrations, Kaspr for LinkedIn-heavy prospecting workflows, or Derrick when your team works primarily in Google Sheets and needs multi-channel data without CSV exports or external platforms.

*Canonical: https://derrick-app.com/vs/clearbit-vs-kaspr-vs-derrick-app*

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Compare clearbit vs Kaspr  side by side to find the best sales intelligence tool for your B2B strategy.

[Discover Derrick App](https://workspace.google.com/marketplace/app/linkedin_email_phone_finder_ia_%E2%80%94_derrick/3746789989?flow_type=2)Free to use - No credit card required.![clearbit vs Kaspr vs derrick app](https://cdn.prod.website-files.com/6183d8bf5c36e7d98bfb2d98/694ab0d90cdc605bfc9fe3a9_6945355c09e03582a7012b69_image_1766143323918.png)

## Why choose Derrick against Clearbit Or Kaspr

### Real-time validation without data gaps in enrichment

Real-time validation without data gaps in enrichment is where Derrick shines by ensuring every enriched record in Google Sheets remains complete, unlike Kaspr’s focus on real-time contact verification or Clearbit’s breadth without guaranteed immediate validation. Derrick delivers native, 100% Google Sheets enrichment with real-time email validation across 50+ attributes per contact, preventing gaps as data flows into your sheet. This translates to measurable efficiency gains, such as saving 5-10 hours per month in manual validation and faster outreach cycles. Use cases like quick prospect updates directly in Sheets demonstrate how Derrick maintains continuous, gap-free enrichment without exporting data to another tool.

### Comprehensive data depth beyond basic contact details

Clearbit and Kaspr excel at basic contact details, but their depth often falls short on comprehensive company intelligence and multi-attribute enrichment. Derrick delivering 50+ attributes per contact/organization within 100% native Google Sheets, eliminating export steps and complex setups. This deeper data layer translates to tangible results, such as faster segmentation and a 15–25% reduction in research time for targeted campaigns. Use cases include multi-attribute scoring and ready-to-run prospect profiles that power more precise outreach without leaving Sheets.

### Seamless multi-channel enrichment beyond LinkedIn reliance

Clearbit and Kaspr rely heavily on LinkedIn-based or single-channel data, leaving gaps in multi-channel enrichment. Derrick App diverges by delivering seamless multi-channel enrichment directly within 100% native Google Sheets, avoiding CSV exports or complex setups. This approach yields measurable efficiency gains and cost savings, such as saving 5-10 hours per month and reducing reliance on LinkedIn, leading to faster, more accurate prospect profiles. For example, Derrick aggregates over 50 attributes per contact with real-time validation, enabling deeper segmentation beyond LinkedIn-centric data.

## clearbit vs Kaspr vs derrick app Pricing in a nutschell.

|  | [clearbit](https://derrick-app.com/en/alternative-clearbit/) | Derrick App | [Kaspr](https://derrick-app.com/en/alternatives-kaspr-2/) |
| --- | --- | --- | --- |
| Works natively in Google Sheets | ✕ | ✓ | ✕ |
| Requires LinkedIn Sales Navigator ($100/month) | ✕ | ✕ | ✕ |
| Sales Navigator 1-click import | ✕ | ✓ | ✕ |
| Email finder with real-time validation | ✓ | ✓ | ✓ |
| Phone finder from LinkedIn | ✕ | ✓ | ✓ |
| Company tech stack lookup | ✓ | ✓ | ✕ |
| SimilarWeb & G2 insights integrated | ✕ | ✓ | ✕ |
| AI integration (Claude & ChatGPT) | ✓ | ✓ | ✕ |
| Automatic AI Lead Scoring | ✓ | ✓ | ✕ |
| Data cleaning & normalization | ✓ | ✓ | ✕ |
| Multi-platform scraping (Instagram, Twitter, Facebook) | ✕ | ✕ | ✕ |
| Zapier, Make, n8n integrations | ✕ | ✓ | ✓ |
| Public API available | ✓ | ✓ | ✓ |
| Native CRM integrations (HubSpot, Salesforce) | ✓ | ✕ | ✓ |
| Entry price (paid plan) | 45$/mois | 9€/mois | 49$/mois |
| Permanent free plan | ✓ | ✓ | ✓ |
| Rollover credits to next month | ✕ | ✓ | ✓ |
| Simple and transparent credit system | ✕ | ✓ | ✓ |
| Simple setup & onboarding | ✕ | ✓ | ✓ |
| Complete documentation | ✓ | ✓ | ✓ |

## Frequently Asked Question

### Derrick vs clearbit: which offers better data enrichment?

Both Clearbit and Derrick excel at data enrichment but serve different use cases. Clearbit offers comprehensive firmographic and technographic intelligence with strong enterprise integration, making it ideal for organizations needing deep company-level insights at scale. Derrick, however, delivers 50+ enrichment attributes directly within Google Sheets without complex setup, eliminating CSV exports and integration friction. For teams prioritizing workflow efficiency and cost-effectiveness, Derrick's native spreadsheet approach, rollover credits, and integrated AI for scoring and segmentation provide distinct advantages. Clearbit suits organizations with sophisticated data infrastructure, while Derrick excels for teams seeking simplicity and immediate productivity gains.

### Is Derrick a viable alternative to Kaspr for contact data?

Yes, Derrick is a strong alternative to Kaspr for contact data, particularly if you're already working in Google Sheets. While Kaspr excels at phone number verification and LinkedIn-based prospecting, Derrick offers broader enrichment with 50+ attributes per contact and company, plus real-time email validation for better deliverability. Derrick's native Google Sheets integration eliminates CSV exports and manual data entry, saving 5-10 hours monthly. Unlike Kaspr's credit system, Derrick's credits roll over monthly, and you can start free with no credit card required. For teams seeking comprehensive contact intelligence without leaving their spreadsheet, Derrick provides more flexibility and depth than Kaspr's contact-focused approach.

### Derrick vs clearbit vs Kaspr: which is the best overall comparison?

Choosing between Derrick, Clearbit, and Kaspr depends on your primary needs. Clearbit excels at comprehensive firmographic enrichment with strong API integration for enterprise teams, while Kaspr focuses on phone verification and LinkedIn-based prospecting. Derrick differentiates by operating natively within Google Sheets without requiring external platforms or CSV exports, offering 50+ enrichment attributes, AI-powered scoring with Claude and ChatGPT, and rollover credits. If you prioritize workflow efficiency and cost-effectiveness without technical setup overhead, Derrick eliminates the need for multiple tools. For teams already invested in CRM systems needing deep company intelligence, Clearbit remains powerful. Kaspr suits LinkedIn-native sales teams, though it lacks broader enrichment depth. The best choice aligns with your tech stack, budget, and whether you need contact-only verification or comprehensive multi-dimensional intelligence.

### Does clearbit pricing beat Derrick, and by how much?

Does clearbit pricing beat Derrick? Not in a straightforward way. Clearbit pricing tends to scale quickly with data breadth, volume, and API usage, which can lead to higher total costs as you enrich more records or require real-time, enterprise-grade data. Derrick pricing starts with a free tier and affordable fixed credits that stack monthly, plus credits are rollable and no credit card is required for the free tier. For teams prioritizing cost predictability, Derrick’s 100% native Google Sheets enrichment, 50+ attributes per contact, real-time email validation, and extensive automation integrations often deliver more cost-efficient expansion compared to Clearbit’s growth-oriented tiers. Kaspr may appear cheaper for contact-level prospecting, but Derrick offers broader enrichment and automation, which can reduce total cost of ownership in the long run. If your primary need is expansive firmographic and technographic data at scale, compare the exact tier costs and API usage between Clearbit and Derrick to quantify the delta for your use case.

### What are the differences between Kaspr and Derrick in features?

Kaspr focuses primarily on LinkedIn-based contact verification and phone number accuracy, excelling at real-time caller ID and lead qualification. Derrick App takes a broader approach with fifty plus enrichment attributes per contact and company, offering comprehensive data intelligence directly within Google Sheets without requiring external platforms or CSV exports. While Kaspr strengths lie in phone verification, Derrick provides integrated AI scoring with Claude and ChatGPT, rollover credits, and no credit card requirement for the free tier, making it more versatile for teams needing multi-dimensional prospect enrichment alongside contact data.

### Can Derrick replace both clearbit and Kaspr for mid-market teams?

Yes, Derrick can replace some functions of both Clearbit and Kaspr for mid-market teams, but it depends on your priorities. Derrick delivers 100% native Google Sheets enrichment with 50+ attributes per contact or company, real-time email validation, AI scoring and segmentation, and broad automation via 3000+ integrations, all without complex exports or LinkedIn dependencies. For mid-market teams prioritizing cost efficiency, speed, and seamless workflow within Sheets, Derrick offers a compelling substitute. However, Clearbit provides broader, enterprise-grade firmographic and technographic data with scalable APIs, while Kaspr specializes in contact-level prospecting and live phone/email verification. If your needs include deep multi-attribute enrichment, sophisticated buyer intent signals, or large-scale API-driven enrichment across CRM ecosystems, you may still benefit from using Derrick alongside or in combination with these tools to fill data gaps. In short, Derrick can cover many mid-market requirements, often reducing dependence on both competitors, but for peak depth in company intelligence or advanced enrichment workflows, a hybrid approach may be optimal.