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Scraping

Derrick

The simplest Google Sheets scraping tool on the market for building prospecting lists without code. Intuitive mini-Clay style interface directly in your favorite spreadsheet. Perfect for non-tech teams who want data fast without building a complex infrastructure.

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Who's it for?SalesOps

Review by a Growth Engineer

My verdict: the mini Clay in your Google Sheets.

A simple and all-in-one tool for building prospecting lists directly in Google Sheets. It's like having a mini Clay in your Sheet: you build your lists by hand, without technical skills, and it's super easy to get started.

It's not made for complex automated workflows, but for 'manual' lists it's perfect.

What I like less: limited for large volumes and advanced automations. If you want to scale, you'll need to move to tools like Apify or Phantombuster.

My advice: if you build prospecting lists manually and want simple and effective, Derrick is excellent. The value for money is great.

Why add it to your stack?

Derrick fills an important gap: scraping accessible to non-devs. When I need to quickly extract data from a site without setting up complex infrastructure, Derrick does the job in minutes.

The Google Sheets approach is brilliant - you stay in your familiar environment, combine with your other data, and can easily share with the team. It's like having a mini Clay directly in your Sheet.

What you can do with it

  • 1Build prospecting lists from LinkedIn, directories, websites
  • 2Extract data from competitor sites for analysis
  • 3Create lists of events, conferences, meetups
  • 4Collect customer reviews or public data
  • 5Enrich existing data with additional info

What it does

  • Web scraping directly in Google Sheets
  • No-code prospecting list building
  • Pre-configured templates for popular sites
  • Integrated data enrichment
  • Automatic data refresh
  • Intuitive mini-Clay style interface

How much?

Starting at $29/month

Limited free plan. Paid plans starting at $29/month (Starter) with generous credits. Pro plans for teams with larger volumes.

The detailed verdict

Do I really need this?

Derrick is not indispensable if you have technical skills - you can scrape otherwise. But for sales or marketing teams without a dev, it's a game-changer.

In my stack, it's a complement tool for quick operations. Not critical, but very practical when you want data fast without building a complex infrastructure.

Does it play nice with my stack?

Integration boils down to Google Sheets - and that's its strength. You combine Derrick with all your other Sheets data, your formulas, your charts. Team sharing is native.

For more complex workflows, you can connect Sheets to n8n or Make. No direct Derrick API, but Sheets as intermediary works well.

Is it easy to pick up?

It's probably the simplest scraping tool on the market. If you know how to use Google Sheets, you know how to use Derrick. No learning curve.

Documentation is clear, support responsive. In a few minutes, you have your first data. Perfect for teams who don't want to overthink it.

Is the UX any good?

UX is Derrick's strong point. Everything happens in Google Sheets: familiar interface, no new dashboard to learn. Getting started is immediate, even for non-tech profiles.

Pre-configured templates speed up getting started even more. In 10 minutes, you're extracting your first data. It's frictionless scraping.

Is it worth it?

The value for money is excellent. For what it does - accessible scraping directly in Sheets - the pricing is honest. You save hours of development or configuring more complex tools.

Compared to solutions like Apify or Phantombuster, it's more limited but much simpler. For 'manual' lists and manual workflows, it's perfect.

What I like

  • Prospecting lists directly in Google Sheets without leaving your familiar environment
  • Non-tech teams who want accessible scraping without developer skills
  • Quick manual workflows with excellent value for money

What I like less

  • Complex automated workflows requiring advanced orchestration like n8n or Make
  • Ultra-scaled large volumes where tools like Apify or Phantombuster are better suited
  • Technical teams who prefer to build their own custom scrapers

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