- Revenue
- $300M
- Customers
- 6.3K
- Year founded
- 2012
- Funding
- $727.4M
- Team size
- 1.7K
Top 42 Data Extraction Software Companies (November 2026)
As of November 2026, Latka tracks 42 data extraction software companies. They have combined revenues of $720.5M and employ 4.1K people. They have raised $1.5B and serve 7K 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
- 42
- Revenue
- $720.5M
- Funding
- $1.5B
- Employees
- 4.1K
Filters
Sorting: Highest -> Lowest
Top Data Extraction Software Companies by revenue
Showing 10 of 42 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
Menlo Park, California, United States
Enabling organizations to apply advancements in artificial intelligence to their most pressing and complex business problems, including intelligent document processing
- Revenue
- $50M
- Year founded
- 2015
- Funding
- $277M
- Team size
- 232
- Growth
- 22.55%
- Revenue
- $44.9M
- Year founded
- 2017
- Funding
- $104.6M
- Team size
- 167
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
New York, New York, United States
Developer of intelligent web data extraction and web automation software designed to focus on web scraping and web automation technologies. The company's web data extraction and web automation software manages large data volumes and helps in debugging, logging, agent management, error handling and error recovery, enabling businesses to significantly reduces the time, effort and cost of precise web data extraction at scale and get new opportunities for monetizing the web.
- Revenue
- $15.7M
- Year founded
- 2017
- Team size
- 107
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
Frequently asked questions about Data Extraction Software Companies
How many data extraction software companies are there?
Latka tracks 42 data extraction software companies with reported revenue. Together they generate $720.5M in annual revenue and employ 4.1K 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 $17.2M a year, across 42 companies with reported revenue. They serve 7K customers combined.
Who are the leading Data Extraction software vendors?
Ranked by annual revenue, the leaders are Fivetran, Nanonets, Actian, Instabase and Rossum.
How much funding have data extraction software companies raised?
The 42 data extraction software companies tracked here have raised $1.5B 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