Is the data in your organization diverse and increasing daily? This data is lot more valuable than you think. Using data extraction tools, you can gain insights into your data and increase productivity.

  • These data extraction tools can handle large volumes of complex and miscellaneous data by automating the extraction process.  
  • For you to select the right data extraction tool, I curated a list of the best five tools to choose from. Each tool’s key features, benefits, and disadvantages are mentioned below. Before we jump into it, let’s first understand what data extraction is.

What are Data Extraction Tools?

Data extraction is the process of retrieving data from various sources into a single destination for further analysis. 

The Extraction Tools are software designed for extraction and collection of the data from diverse sources, like databases, websites, applications, and files, transform and load them into a usable and structured format for further processing and analysis through automation, and increase productivity. Businesses and organizations need these data extraction tools to handle large volumes of data.

Utilizing the tools enhances efficiency and accuracy, improves real-time access to data, reduces cost, and add to analytics and decision-making.

Physics Wallah Case Study – Physics Wallah used Hevo Data to handle data at a massive scale and boost its customer satisfaction by 50%.

5 Best Tools for Data Extraction: Systematic Review

1. Nanonets

G2 Rating: 4.8/5.0

Nanonets is an automated AI for data extraction from all types of documents, such as PDFs, documents, images, emails, scanned documents, and unstructured datasets. Their software uses ML and optical character recognition (OCR) to extract data from these documents. 


Key Features:

  • AI and ML integrated
  • A wide range of data sources supported
  • In-built OCR software
  • Accuracy and Validation

Benefits of Using Nanonets:

  • Efficiency and Accuracy: The advanced AI used ensures errors are reduced, improving the data quality and increasing the accuracy. Automation further reduces the manual effort increasing the operational efficiency.
  • Seamless Integration: Nanonets automates the data extraction procedure. You can create workflows to automate the extraction, validation, and integration of data into your systems which will enhance and streamline your data management process. 
  • Scalability: This data extraction tool can handle large volumes of data without compromising on performance, making it a great choice for enterprises of all sizes.

Disadvantages of Using Nanonnets:

  • Sometimes additional training is required for optimal accuracy.
  • Initially, model training can be time-consuming and difficult to visualize, particularly for large and complicated sets.


Nanonets offers 3 pricing models,

  • Starter plan with first 500 pages for free and then $0.3/page
  • Pro plan at $999/month/workflow for 10,000 pages, then $0.1/page
  • Enterprise plan is customizable by contacting sales with ad ons like a dedicated account manager.

Nanonets Resources

Documents | Blogs


G2 Rating: 4.5/5.0 is a versatile custom web data extraction tool designed to modify web data into a structured, usable form without the need for writing code. It provides user-friendly interface for building extractors that can target specific data points on a webpage.

Key features:

  • No-code web scraper
  • Training using point-and-click
  • Advanced extraction options
  • PII Masking

Benefits of using

  • Easy usage: This tool makes web scraping accessible to all technical and non-technical users with its no-code interface. Also, its point-and-click training feature makes it easy to extract data from any web page.
  • Time Efficiency and Easy Scheduling: It tries to optimize the extractor to run in the shortest time possible once you save the extractor. You can pre-set extraction schedules as per your business needs.
  • Advanced use case: While extracting information from the web, personal identifiable information (PII) like name, phone number, and address are removable. Extraction can be done specific to a country. To extract hidden data and set up advanced configurations, you can write custom rules using XPath and Regex.

Disadvantages of Using

  • You need to customize and perform advanced setup for extracting data from complex websites.
  • They are quite expensive compared to their competitors and not suitable for start-ups.

Pricing: offers 4 pricing plans,

  • Starter plan at $399/month for simple sites
  • Standard plan at $599/month for dynamic sites with CAPTCHA bypass and logins
  • Advanced plan at $1099/month with support needs at most critical use cases.
  • Custom plan for tailored services for your business. Resources

Documentation | Blogs

3. Improvado

G2 Rating: 4.5/5.0

Improvado is a data extraction and integration platform specially designed for marketing and advertising data. It allows connection to various marketing data sources, such as Google Ads, Facebook Ads, and social media platforms. 


Key Features:

  • Extensive Data Source Integration
  • Automated data pipeline
  • A wide variety of data sources supported
  • Advanced Analytics and Reporting

Benefits of using Improvado:

  • Centralized Management of Data: Improvado consolidates data from a wide range of sources into your preferred storage format while guaranteeing data ownership.
  • Security and Compliance: International security regulations are strictly adhered to and complied with by them.
  • Enhanced decision-making: With their advanced analytics and reporting tools, you can constantly examine your data and get answers to up to 82% of the questions you would answer traditionally.

Disadvantages of Using Improvado:

  • Navigating through the AI roadmap takes a lot of work, along with training and implementation.


Improvado offers 3 pricing models,

  • Growth plan for expanding firms with deeper insight and reporting needs, up to 200 M Events.
  • Advanced plan for large enterprises with requirements like robust integrations and support, up to 600 M Events
  • Enterprise plan for industry leaders with complex needs, up to 1 billion Events

Improvado Resources

Documentation | Blogs

4. Matillion

G2 Rating: 4.4/5.0

Matillion is a cloud-based data extraction platform that specializes in extracting, transforming, and loading (ETL) data into cloud data warehouses for businesses. It simplifies the process of moving and preparing data for analysis, enabling you to leverage your data for better decision-making.


Key Features:

  • Cloud-native architecture
  • Batch Data Processing
  • Library of 150+ connectors
  • Custom Connector

Benefits of using Matillion:

  • Easily Manage Data: Matillion allows you to track your data lineage back to the source, increasing the understanding and making it easy to spot errors and fix them.
  • Reduced complexity: It handles data transfer to and from cloud platforms efficiently. The platform automatically adapts the change in schema and implements them to the destination seamlessly. 
  • Improved productivity: The automation and scheduling features, along with its ability to handle complex data transformations, improve overall productivity by faster data processing and reducing manual efforts.

Disadvantages of Using Matillion:

  • It is difficult to schedule the tasks because you have to schedule the virtual machine to fire up and down manually.
  • The features offered by Matillion are limited. For example, they need better logging, especially when using transaction control, and sequential updates are run instead of parallel.


Matillion offers,

  • Basic plan at $2.00/credit  with 500 credits a month
  • Advanced plan at $2.50/credit  with 750 credits and unlimited users 
  • Enterprise plan at $2.70/credit  with 1000 credit/month and hybrid cloud deployment

Matillion Resources

Documentation | Blogs

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5. Hevo Data

G2 Rating: 4.3/5.0

Hevo Data is a powerful, cloud-based platform for data extraction that extracts, transforms, and loads (ETL) data across multiple data sources and destinations. It focuses on being user-friendly and code-free so even non-technical users can set up data pipelines.

Hevo Data

Key Features:

  • 150+ data sources supported
  • Automated Data Pipeline
  • Real-time Data Processing
  • Automatic Schema Management
  • Scalability and Reliability 

Benefits of Using Hevo Data:

  • Ease of Use: The simple user interface and no-code setup with support for 150+ data sources make it easy for technical and non-technical users.
  • Reduced Manual Effort: The automation feature reduces the need for manual data handling, reducing errors and saving resources for more strategic activities.
  • Enhanced Data Accuracy: While automated tasks keep a check and ensure that the integrated data is accurate and consistent, data is made reliable for analysis and decision-making. 
  • Cost-Effective: Hevo Data with its cloud-based model eliminates the need for upfront investment in infrastructure, and businesses can scale their usage based on their needs with Hevo’s pricing model.
  • Real-Time Insights: With the real-time data processing feature, data can be extracted and replicated in real-time, enabling you to gain insights quickly.

Disadvantages of Using Hevo Data:

  • Hevo Data primarily focuses on data integration and no code ELT, with data extraction playing a secondary role.


Hevo offers 4 pricing models,

  • Free plan provides up to 1M Events/month with up to 5 users
  • Starter plan starts at $239/Month with 5M events, up to 10 users
  • Professional plan starts at $679/Month with 20M Events and unlimited users
  • Business Critical plan lets you build a custom quote according to your requirements.

Hevo Resources

Documentation | Blogs | Upcoming Features

How do you choose the best data extraction tool?

Choosing the right tool for your business to utilize data effectively is important. Key points to remember while selecting data extraction tools are:

  • Data Sources Supported: Learn about the data sources supported by the data extraction tools and compare them with the data sources your organization is using.
    Or else you’ll have to employ many tools for your specific sources.
  • Scalability: The amount of data required for your Data Integration program may be small at first, but it will grow in volume as the company grows. When choosing a Data Integration tool, be sure it can simply scale up and down to meet your data requirements.
  • Quick setup, Easy to Use: Look for a tool with an easy setup, a simple interface for easy management, and minimum to no technical requirements. 
  • Data Quality: The tool should be reliable so that data quality is maintained. This would be ensured when data rows in your data source are replicated without any missing rows with robust syncing. Data inspection should be allowed at each stage of transformation.


As you analyze your data extraction requirements for the near future, the five Data Extraction Tools mentioned—Hevo Data, Nanonets,, Improvado, and Matillion—each have unique features you should consider. Whether you’re a small firm looking for an easy-to-use solution or an enterprise wanting extensive data extraction features, depending on your needs, you can use one of them to increase productivity through a significant improvement in operating efficiency and make the most of your data.

Ready to take your data management to the next level? Try Hevo Data now and discover how effortless data extraction can be.


Frequently Asked Questions (FAQs)

Q1. What are the 5 best data extraction tools?

The five best data extraction tools are – Hevo Data, Nanonets,, Improvado, and Matillion.

Q2. How is Web Scrapping different from Data Extraction?

Web scraping is an automated approach for extracting massive volumes of data from websites. The majority of this data is unstructured data in HTML format, which is subsequently turned into structured data in a spreadsheet or database for usage in a variety of applications. While extracting data is gathering specific info from different places like databases, files, websites or other APIs for better processing and analysis.

Q3. What is the difference between Data Extraction and Data Analysis?

Data extraction is the initial step of an ETL (extraction, transform, and load) or ELT (extraction, load, and transformation) process; data analysis is done after these processes are completed. While data extraction focuses on collecting and assembling the data using data extraction tools, data analysis focuses on interpreting that data and providing valuable insight for decision-making using BI tools. Both procedures are equally important for data to be managed and used effectively in a company.

Q4. What are the limitations of Web Data Extraction?

Some web data extraction tasks are complex to complete, like:

  • Extracting information from complex websites
  • Extracting data from websites using deterrents
  • Extracting massive volumes of data.
  • Extracting information from non-HTML content.
Chirag Agarwal
Principal CX Engineer, Hevo Data

A seasoned pioneer support engineer with more than 7 years of experience, Chirag has crafted core CX components in Hevo. Proficient in lean solutions, mentoring, and tech exploration.

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