- Revenue
- $300M
- Customers
- 6.3K
- Year founded
- 2012
- Funding
- $727.4M
- Team size
- 1.7K
Top 28 Data Extraction Software Companies (October 2026)
As of October 2026, Latka tracks 28 data extraction software companies. They have combined revenues of $588.9M and employ 3.5K people. They have raised $1.1B and serve 6.8K customers combined.
Every company below sells data extraction software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Data Extraction Software Companies do
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
- 28
- Revenue
- $588.9M
- Funding
- $1.1B
- Employees
- 3.5K
Filters
Sorting: Highest -> Lowest
Top Data Extraction Software Companies by revenue
Showing 10 of 28 companies ranked by annual revenue.
San Francisco, United States
Nanonets leverages advanced OCR and Deep Learning technology to efficiently extract relevant information from unstructured text and documents. It enables the digitization of documents, extraction of specific data fields, and facilitates integration with everyday applications through APIs, all within a simple and intuitive interface. This technology significantly streamlines manual processes by automating tasks such as invoice, receipt, and document reviews. It notably reduces processing time by up to 90% and can save up to 50% on costs.
- Revenue
- $100M
- Year founded
- 2017
- Team size
- 101
- Growth
- 150%
Santa Clara, California, United States
For over 50 years, we’ve been helping organizations around the globe confidently transform their business by simplifying how people connect, manage, and analyze data. Organizations trust Actian data management and data intelligence solutions to streamline complex data environments and accelerate the delivery of AI-ready data. Actian transforms complex data landscapes into AI-ready assets with Actian Data Intelligence – the platform that enables Fortune 100 leaders to discover, understand, and trust their data across any environment.
- Revenue
- $56.5M
- Year founded
- 1980
- Team size
- 514
Tampico, Mexico
Bitam is an information technology and services company. It offers a SaaS ETL engine and KPI Online platform for data analysis and performance measurement.
- Revenue
- $20M
- Year founded
- 2000
- Team size
- 122
- Revenue
- $20M
- Year founded
- 2020
- Funding
- $181.2M
- Team size
- 154
San Francisco, California, United States
Provider of a cloud-based informatics platform designed to help companies discover and make use of relevant valuable data from a multitude of sources. The company's platform offers data engineering managed service that delivers easy access to actionable data, tools for data exploration and evaluation provisioning system, enabling businesses to extract value from their structured and unstructured data quickly and efficiently.
- Revenue
- $19.3M
- Year founded
- 2017
- Funding
- $115.7M
- Team size
- 126
San Francisco, California, United States
Coalesce is the only data transformation and governance platform designed for the AI era. Built on a metadata-driven framework, Coalesce gives data teams the speed to build and deploy transformations 10× faster—while enforcing the standards, structure, and governance needed to scale sustainably. With Coalesce Catalog, transformation and metadata management come together in a single solution, enabling discovery, trust, and collaboration across the business. Whether accelerating AI-assisted migrations from legacy tools or future-proofing enterprise data architectures, Coalesce provides the guardrails and efficiency to keep data teams AI-ready. To learn more, visit https://coalesce.io.
- Revenue
- $14.5M
- Year founded
- 2020
- Team size
- 132
Prague, Hlavni Mesto Praha, Czech Republic
Provider of a web scraping and automation platform designed to turn any website into an API in a few minutes. The company's web scraping and automation platform offers an easy way to run headless Chrome jobs in the cloud and extract data or perform automated actions on practically any website, enabling companies to succeed by leveraging unlimited data from the web.
- Revenue
- $13.3M
- Year founded
- 2015
- Funding
- $3.5M
- Team size
- 231
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
- Year founded
- 2006
- Team size
- 87
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
- Team size
- 42
Frequently asked questions about Data Extraction Software Companies
How many data extraction software companies are there?
Latka tracks 28 data extraction software companies with reported revenue. Together they generate $588.9M in annual revenue and employ 3.5K people.
Which data extraction software company is the largest?
Fivetran is the largest, with $300M in annual revenue, founded in 2012.
How much revenue does a typical data extraction software company make?
The average data extraction software company in this list makes $21M a year, across 28 companies with reported revenue. They serve 6.8K customers combined.
Who are the leading Data Extraction software vendors?
Ranked by annual revenue, the leaders are Fivetran, Nanonets, Actian, Bitam and Airbyte.
How much funding have data extraction software companies raised?
The 28 data extraction software companies tracked here have raised $1.1B in disclosed funding between them.
Related IT Management Software categories
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