# Keboola named a Leader on the G2 Mid-Market Europe Grid® for Data Extraction

> Keboola has been recognized as a Leader on the G2 Mid-Market Europe Grid® for Data Extraction in the Winter 2026 report, based on reviews from real customers across Europe.

**Source:** https://www.keboola.com/blog/data-extraction-leader-mid-market-europe  
**Author:** Karolina Everlingova  
**Published:** 2025-12-09  

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You don’t wake up caring about badges.  
You care about data that’s actually extractable, pipelines that don’t fall over, and teams that aren’t stuck copy-pasting CSVs.

Still, it’s good when the market validates that.

In the Europe Grid® Report for Data Extraction | Winter 2026, Keboola is a **Leader** on the **Mid-Market Europe Regional Grid® for Data Extraction**.

That makes Keboola the **highest-rated mid-market data extraction tool in Europe by customer satisfaction, with the most reviews on the grid.**

## See Keboola on the G2 Grid®

This Mid-Market Europe Regional Grid® shows how tools in the Data Extraction category compare, based on:

- Customer Satisfaction – ratings and feedback from users in Europe
- Regional Market Presence – things like market share, company size, and overall visibility  
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   Mid-Market G2 Grid® for Data Extraction Tools | Winter 2026 

  
Keboola appears in the Leader quadrant, based entirely on the voice of real mid-market customers in the region.

### What does “Data Extraction” actually cover?

In G2's language, data extraction tools help you:

- Pull structured, semi-structured, and unstructured data from many different sources  
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- Collect data from databases, SaaS apps, APIs, files, and web sources  
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- Export that data in usable formats so it can be cleaned, transformed, and analyzed

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In other words, plug in your data from everywhere it lives today (mess of databases, SaaS tools, files, and streams), and get it into a shape your business and AI use cases can actually work with.

With Keboola, that’s the first step in a bigger story. From extraction to **integration, transformation, orchestration, and data apps** – all in one platform.

If you want the full story, you can deep-dive into the [**Keboola AI & Data Platform overview**](https://www.keboola.com/product/overview?utm_source=chatgpt.com).

### Why mid-market Europe specifically?

This Grid® view is regional and segmented on purpose:

- Only reviews from customers located in Europe are counted.  
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- The Mid-Market segment means reviewers work at companies with 51 - 1,000 employees.

So if you’re a mid-sized European company, this Grid® reflects peers who look a lot like you - same region, similar scale, similar problems.

## How teams use Keboola for data extraction

Data extraction is just the starting line. Here’s how teams typically use Keboola in this space:

- **Connect everything in one place**  
Use [**hundreds of ready-to-use integrations**](https://www.keboola.com/product/integrations?utm_source=chatgpt.com) to pull data from SaaS tools, databases, files, and more – without writing and maintaining custom scripts.  
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- **Turn raw feeds into reliable pipelines**  
Design and orchestrate flows that extract, standardize, and route data where it needs to go with [**Keboola Flows**](https://www.keboola.com/product/flow-builder?utm_source=chatgpt.com) and [**Transformations**](https://www.keboola.com/product/transformation?utm_source=chatgpt.com) – including AI-assisted SQL/Python.  
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- **Prepare data for analytics and AI**  
Clean, join, and model data directly in Keboola so it’s ready for BI dashboards, reverse ETL, machine learning, or agentic workflows. Check [**Keboola Agents**](https://www.keboola.com/product/agent).  
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- **Put governed experiences in front of business users**  
Build interactive [**data apps**](https://www.keboola.com/product/data-apps?utm_source=chatgpt.com) on top of extracted data – internal tools, workflows, and AI experiences that run inside the same governed platform.

So yes, the report is “about Data Extraction tools” – but the grid placement reflects teams who are using Keboola as the backbone for their broader data and AI stack, not just a scraper.

## Where to go from here

  
If you’re evaluating platforms or refreshing your data stack, you’ve got two quick ways to go deeper:

- 👉 Read what customers say on [**Keboola’s G2 profile**](https://www.g2.com/products/keboola/reviews?filters%5Bcomment_answer_values%5D=&order=most_recent&utf8=%E2%9C%93#reviews)  
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- 👉 Explore the** [Keboola AI & Data Platform](https://www.keboola.com/product/overview?utm_source=chatgpt.com)**