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Top 7 Data Extraction Software Companies Under $1M Revenue (September 2026)

As of September 2026, Latka tracks 7 data extraction software companies under $1M in annual revenue. They have combined revenues of $2.5M and employ 38 people.

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
7
Revenue
$2.5M
Funding
-
Employees
38

Filters

Sorting: Highest -> Lowest

Filters

Top Data Extraction Software Companies Under $1M Revenue

Showing 7 of 7 companies ranked by annual revenue.

1Eastern Jin Technology logo
Eastern Jin Technology

Beijing, China

Developer of a big data platform designed to provide data analysis services. The company uses big data technology to provide enterprises with data analysis service and big data solutions including data computing, data processing and data application, enabling clients to improve data management efficiency and make accurate decisions.

Revenue
$635.6K
Year founded
2013
Team size
21
2Etlworks logo
Etlworks

Pittsburgh, Pennsylvania, United States

Etlworks is a cloud-native, easy-to-use cloud data integration service that can work with business applications, databases, structured, semi-structured and unstructured data of any type, shape, and size.

Revenue
$626.2K
Year founded
2016
Team size
2
3carvedata.io logo
carvedata.io

Silicon Slopes, UT, United States

Carve is a data engineering ops tool built for Snowflake that helps you manage and orchestrate the data lifecycle within Snowflake. Within Carve you can build and schedule data pipelines using SQL, Python, or DBT, fully catalog your Snowflake data assets including lineage, usage, and security, and optimize Snowflake warehouse usage and performance.

Revenue
$440K
Team size
4
4CeeqIT logo
CeeqIT

Waterloo, Ontario, Canada

Developer of an intelligent database management platform designed to increase project success and reduce risk. The company's intelligent database management platform develops a search engine that helps indexing of data, fast data discovery and cleansing, enabling businesses to get a faster, better and significantly lower costs data management software.

Revenue
$223.2K
Year founded
2007
Team size
6
5GAMMA SOFT logo
GAMMA SOFT

United States

We are a ISV for real time data connecting from any plateforme to any plateforme.

Revenue
$220K
Year founded
1995
Team size
2
6StarfishETL logo
StarfishETL

Chicago, Illinois, United States

StarfishETL is a full-featured, ever-evolving solution for connecting data in a way that’s scalable, timeless, and completely versatile. The StarfishETL vision is to empower businesses by integrating systems, cleaning and filtering data, migrating databases, and making sense of millions of data points to foster educated business decisions and optimal customer experiences. With over 350 connectors, its framework supports projects — no matter the size or complexity — with its Cloud, on-premises, and hybrid capabilities. StarfishETL’s migration functions are robust, allowing users to transfer enterprise-level loads of data or restrict the migration to smaller data sets at their discretion. We continue to release new functionality and connectors to simplify and speed up integration and migration projects.

Revenue
$220K
Year founded
1991
Team size
2
7IP Street logo
IP Street

Spokane, Washington, United States

Provider of next generation patent tools intended to offer patent data and analytic algorithms through API integration. The company's platform provides access to a world-class semantic search engine without needing to worry about infrastructure management and complicated optimizations, enabling companies to claim text analytics, automated due diligence and clean patent data all available at an API endpoint.

Revenue
$105.1K
Year founded
2008
Team size
1

Frequently asked questions about Data Extraction Software Companies Under $1M Revenue

How many data extraction software companies under $1M in annual revenue are there?

Latka tracks 7 data extraction software companies under $1M in annual revenue. Together they generate $2.5M in annual revenue and employ 38 people.

Which data extraction software company under $1M in annual revenue is the largest?

Eastern Jin Technology is the largest, with $635.6K in annual revenue, founded in 2013.

How much revenue does a typical data extraction software company under $1M in annual revenue make?

The average data extraction software company in this list makes $352.9K a year, across 7 companies with reported revenue.

Who are the leading Data Extraction software vendors under $1M in annual revenue?

Ranked by annual revenue, the leaders are Eastern Jin Technology, Etlworks, carvedata.io, CeeqIT and GAMMA SOFT.

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