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Top 25 Data Extraction Software SaaS Companies in May 2026

As of May 2026, there are 25 SaaS companies in Data Extraction Software. They have combined revenues of $474.6M and employ 3.1K people. They have raised $1.1B and serve 6.8K customers combined.

Data Extraction Software is designed to enable the automated extraction of structured and unstructured data from various sources, such as documents, websites, and databases. These tools are essential for businesses seeking to convert raw data into usable formats, facilitating better decision-making and operational efficiency. Common use cases include gathering insights from customer feedback, enabling competitive intelligence, and ensuring compliance with regulatory requirements. Typically, data extraction software includes features such as data parsing, data cleansing, and integration with other analytics tools. It automates tedious data entry tasks, reducing the potential for human error and significantly increasing the speed of data processing. The primary users of this software often include data analysts, business intelligence teams, finance professionals, and IT departments tasked with data management.

Companies
25
Revenue
$474.6M
Funding
$1.1B
Employees
3.1K

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Top Data Extraction Software Companies

Showing 10 of 3 companies ranked by annual revenue.

1
TimeXtender

Aarhus, Middle Jutland, Denmark

Our Why TimeXtender purpose is to empower the world with data, mind and heart. We do this for one simple reason: because time matters. Our goal is to free up the time, resources and energy of entire organizations so they can be used for purposeful growth, innovation and breakthroughs. Our How What makes our business model unique is that we are 100% channel driven, with a business to human approach. We serve 3300+ customers in 95 countries, but we do not sell software. We build solutions. TimeXtender is successfully distributed and implemented by an ecosystem of 200+ partners. Our What TimeXtender is the holistic solution for data integration. TimeXtender provides all the features you need to build a future-proof data infrastructure capable of ingesting, transforming, modeling, and delivering clean, reliable data in the fastest, most efficient way possible - all within a single, low-code user interface. Working at TimeXtender - Imagine working for a company with a global presence that embraces and empowers diversity. - Imagine a culture where you can make your own decisions. All day, every day. - Imagine being encouraged to prioritize silent moments throughout your day, to practice deep work, and to breathe. - Imagine a company that asks you to be curious, to engage in possibility. - Imagine a culture that focuses on output, not on hours worked. - Imagine working from anywhere, asynchronously, while remaining part of multidisciplinary project teams. - Imagine a virtual HQ, in the cloud. - Imagine building long-lasting relationships, both personal and professional. - Imagine a company with a flat hierarchy where "I hear you" becomes "I am listening to you” This is TimeXtender. This is how we operate. To learn more about TimeXtender, visit: timextender.com and to join our team, visit: timextender.com/careers. We are looking forward to meeting you.

Revenue
$9.6M
Customers
-
Year founded
2006
Funding
-
Team size
87
Growth
-
2
Elynx Technologies

Tulsa, Oklahoma, United States

Provider of data collection, data capture, based software, and global network. The company operates within the industries of database software, systems and information management, and other it services.

Revenue
$6.4M
Customers
400
Year founded
1998
Funding
-
Team size
42
Growth
44.56%
3
CloverDX

Prague, Czech Republic

The CloverDX Data Integration Platform helps boost productivity and trust in data and processes by focusing on automation and robustness of data pipelines. It’s a single platform that covers the needs of the IT teams as well as providing a self-service interface to business users, covering the entire lifecycle of data from ingestion and processing to delivery and consumption.

Revenue
$6.1M
Customers
-
Year founded
2002
Funding
-
Team size
55
Growth
-

Inclusion Criteria

- Must automate the extraction of data from multiple sources including documents and websites - Should provide tools for data cleansing and formatting to ensure usability - Must enable integration with other software tools for analytics and reporting - Should allow for varying levels of data structuring depending on user needs - Must support compliance and regulatory data requirements in relevant industries - Not just for basic data collection; must also provide means for data analysis or reporting