Top Data Extraction Companies in 2025

Data extraction tools result in more informed decisions, competitive insights, and it’s not about just staying ahead, it’s about not staying behind. Many businesses scrape data themselves or use tools to extract data, and the demand doesn’t seem to be slowing down.

Data extraction is the process of pulling information from different data sources. Parsing converts it into readable and usable formats. It includes both unstructured data (images, documents, emails) and structured data (numbers, tables).

By handling the data extraction process effectively, companies can make informed, data-driven decisions and utilize accurate data to gain a competitive edge. If you don’t want to do that yourself, here you’ll find an overview of companies that can do it for you.

Why Data Extraction Matters in Business Intelligence

Business intelligence is fueled by information, which is gathered via extraction. With it, you can extract data from web pages, PDFs, databases, APIs, and a handful of other places. Once you combine that data with your internal systems, you can build a process that gives you actionable business intelligence.

Some of the most common use cases for business intelligence are:

• Market research
• Price monitoring
• Competitive analysis
• Lead generation

Data extraction software enables companies to quickly access large volumes of web data and improve their data analysis efficiency. There are several data collection methods to choose from, and it’s mostly about keeping the databases fresh and accurate.

How to Choose the Right Data Extraction Company

There are numerous companies that extract data, and it can be a challenge to choose one that meets your needs. The choice will mostly depend on your goals, technical skills, and budget. Here’s what to look for:

• Ease of use. Some data extraction tools may offer a no-code experience, while others require advanced setup and a full in-house development team.
• Scalability. Make sure the system can handle a significant amount of records if you ever decide to scale your business.
• Support for multiple data sources. The solution should be able to extract web data from a variety of platforms and web pages.
• Automation. Data extraction tools with automated data collection can help you save time and reduce errors.
• Integration options. Check if the platform integrates with Google Sheets, internal databases, or the CRMs you use.
• Pricing. Make sure the service aligns with your budget and provides a solid quality-to-price ratio.

In short, you’ll need to define your exact goals, needs, technical capabilities, and budget first before you can make an informed decision as to which provider you should choose.

Best Data Extraction Companies (2025)

Data Collection Companies

Octoparse

Octoparse is a no-code data extraction software built for non-technical users. It’s great for teams who lack technical know-how or don’t have in-house development teams.

Key features:

• Cloud-based data extraction
• Scheduled scraping capabilities
• IP rotation
• CAPTCHA solving
• Various data export options

Pricing: Free plan available, paid plans start from $83/month

Pros:

• User-friendly
• No-code web scraping
• Pre-built templates for popular websites

Cons:

• May have a learning curve for more complex tasks
• Can be challenging for Octoparse to deal with anti-scraping measures
• Limited customization

Bright Data

Bright Data offers tried-and-tested data extraction tools with robust proxy support. It’s one of the leading brands in the data extraction industry.

Key features:

• Extensive proxy network
• Instant scraper APIs
• High-quality browsing infrastructure
• Offers both scrapers and complete datasets

Pricing: Free trial available, paid plans for scrapers start from $1.50 per 1,000 records

Pros:

• Large and diverse IP pool
• Selection of scraping tools
• GDPR and CCPA compliant

Cons:

• High-end pricing
• May be too complex for non-tech individuals
• Some report poor communication

Data Extraction and Management Companies

Fivetran

Fivetran is a data extraction tool that focuses on moving data into centralized platforms, which accelerates insights, optimizes operations, and powers data-driven decisions.

Key features:

• Streamlined ELT (Extract, Load, Transform)
• 700+ pre-built connectors
• Automated schema management
• Customizable sync intervals

Pricing: Free trial available, paid pricing structure lacks clarity

Pros:

• Ease of use
• Easy integrations
• Wide variety of connectors

Cons:

• Impractical cost structure
• Data limitations
• Poor customer support

Hevo Data

Hevo Data is a data extraction tool and an automated data pipeline solution that syncs data from a wide variety of sources into a data warehouse and transforms it for analytics.

Key features:

• Multiple workspaces within a domain
• Multi-region support
• ELT pipelines with in-flight data formatting capability
• Flexible data replication options

Pricing: Free plan available, paid plans starting from $299/month

Pros:

• Intuitive user interface
• Responsive technical support
• Easy to set up pipelines

Cons:

• Limited advanced transformation
• Pricing for high data volumes
• Difficult troubleshooting

Airbyte

Airbyte is an open-source data extraction software built for developers. It facilitates easy movement of structured and unstructured data across various data sources.

Key features:

• 400+ out-of-the-box connectors
• Build custom connectors
• Configure replications to meet your needs
• Transform your data via dbt

Pricing: Free trial available, contact their sales team for full pricing

Pros:

• Intuitive data extraction software UI
• Easy to configure data syncs
• Frequent updates and improvements

Cons:

• Some connectors can feel unstable
• Debugging failed syncs can be frustrating
• Sometimes fails to fetch the data.at from sources like Google Sheets

Rossum

Rossum combines the industry’s most advanced data extraction capabilities to provide intelligence document processing solutions.

Key features:

• Connectors to various document channels
• Document splitting and routing
• Duplicate detection and handling
• Instant learning across 276 languages and handwriting

Pricing: 14-day trial available, pricing starts at $18,000/year

Pros:

• The layout and interface are easy to use and understand
• Helpful and professional support
• With each update, it gets noticeably sharper in understanding complex layouts

Cons:

• Slowdown of the system at the beginning of each month
• Updates can halt operations
• Pricing can be high for small businesses

Best Data Extraction Tools Compared

Conclusion

The right data extraction software can transform raw data sources into actionable insights that enhance your business intelligence. Everything depends on what you need: automated data extraction, convenient exporting to Google Sheets, efficient document processing, or more.

Once you define your goals, you’ll be able to find the one tool that can extract data to fulfill all or most of your needs.