Top 10 Data Extraction Tools in 2022
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Every company has tons of data but it is hidden in PDF files or in your employees' email attachments. Data extraction is an effective tool that helps organizations make the best of the data.
Successful companies take data-driven decisions and that is possible because of data extraction and analysis tools.
In this article, we'll take a look at the top 10 data extraction tools, and their pros, and cons. By the end of this, you'll be well equipped to select the best extraction software according to your requirements.
What is data extraction?
Data extraction is the process of extracting data from a source into a structured format for further analysis. By structured, we mean that it has been arranged in columns and rows so it can be easily imported into another program or database.
Data extraction can refer to information from web pages or emails but also includes any other type of text-based file such as spreadsheets (Excel), documents (Word), PDFs, etc. The goal of data extraction is to get the raw data out so you can do something with it—for example: run analytics on your CRM contacts list or create mailing lists using customer emails and addresses.
The 1st phase of the ETL (Extract, Transform, and Load) process is data extraction. After properly extracting the data, you can only convert and load the data into the destinations you want to use for future data analysis.
To put it simply, unstructured data extraction is the process of obtaining data from a source system to utilize it in a data warehouse environment. The Data Extraction process may often be divided into three phases:
- Recognize Modifications: You must keep an eye out for any alterations to your data. A new table or column could be included, for instance.
- Define the Data to be Extracted: You should decide which portions of your data need to be extracted and then specify those portions. Then, the entire data set is extracted all at once using the complete extraction approach.
- Process Data Extraction: At this point, you have finished all the necessary steps and are prepared to undertake Data Extraction using either manually created scripts or automatic Data Extraction Tools.
Top 10 Data Extraction Tools for businesses in 2022
Data extraction is a complex process that can be broken down into different steps.
The first step is to find the data you want to extract, often using an automated tool or another method of gathering data from sources such as a website or a database. Once you have found your target data, there are various ways of extracting it.
Given the complex process, here are our best picks as a data extraction tool for your use cases!
Nanonets - Best for data extraction from documents, PDFs & images
Nanonets' intelligent document processing platform can automate invoice, receipt, and document processes and eliminates manual tasks. Additionally, it could reduce expenses by up to 50% and processing times by up to 90%.
Nanonets can be used to extract data from PDFs, documents, images, emails, scanned documents, or unstructured datasets.
Pros of using Nanonets
- Easy to use
- 97%+ Accurate
- User friendly
- Excellent support team
- Fast information recognition
- Ability to intake large volumes of documents
- Reasonable pricing - Check Pricing
- 200+ languages supported
- 24x7 customer support
- Free Plans + Cost-effective Pricing Plans
- Personal training sessions
- In-built powerful OCR software
- Cloud and On-premise hosting
Cons of using Nanonets
- Limited outcomes when used internally
- It takes some time to tag invoices and map the details.
- No mobile app
Nanonets is a safe choice for enterprises of all sizes for automated data extraction. It is rated 4.9 on Capterra and G2 by users and is used by 30,000+ leaders to automate their manual processes.
Hevo is a data extraction tool that helps you extract large amounts of data from websites.
It’s used to capture and process all the data on any website and supports over 50 file formats and can scrape data from web pages or even audio files.
The tool has an easy-to-use interface, so even if you’re unfamiliar with coding, you should be able to use it effectively.
Capterra Rating: 4.7
- Can manage a large number of pipelines
- Automatic detection of data sources
- Easy Integrations
- Costlier pricing plans
- Limitations for complex use cases [Source]
Brightdata is a cloud-based data extraction tool that can be used to extract data from documents, websites, and databases. It works with over 80 different file formats, including PDFs and Microsoft Word documents.
The software supports multiple data extraction methods: it can pull information directly from the page source code or specific sections of pages; it can parse tables on a page; it can also scan image files (like JPEGs) to text. Brightdata has a robust data filtering tool that lets you filter extraneous information before exporting your results into a CSV file or database table format.
Capterra Rating: 4.8
- Smooth user interface
- Apt customer service
- Huge server infrastructure
- High pricing
- Manual account activation
- Not ideal for beginners
- Slow email support
Import.io is a tool for extracting data that can be used to extract data from websites and social media, as well as emails, documents, and more. The software has various features like an email extractor that make it easy for users to get the data they need without writing code or using complicated tools.
Capterra Rating: 3.6
- Precise and effective
- Scrapes a specific section of a website
- Simple to use
- No coding required
- Additional scraping features required
- Desktop app required
- Pricing is high
- Difficult interface
- Software crashes sometimes
Improvado provides a wide range of tools for data extraction, analytics, cleaning, and transformation, as well as dashboard creation. In addition, the platform offers a freemium plan that can be used to analyze up to 10 GB of data per month.
Capterra Rating: 4.5
- Streamlines data
- Full-cycle support
- Client-focused approach
- Professional services
- Fewer integrations
- Confusing user interface
- Random bugs
- Not suitable for complex processes
Alooma is a data warehouse and data pipeline platform that helps companies ingest, process, and analyze their data.
Alooma enables users to extract data from multiple sources into a single destination for real-time analysis. Users can also use Alooma’s API for integration within other applications like sales & marketing tools, CRM systems or ERP systems, etc.
Capterra Rating: 3.5
- Easy implementation
- Time tracking
- Super intuitive interface
- Easy role-based access
- Expensive for some small business owners
- Lack of advanced features
- A little overwhelming to an inexperienced user
- Disorganized customer support
- Monthly fees are high
Scraper API is a web scraping tool that allows you to easily extract data from websites on the internet with speed, accuracy, and efficiency. It's also scalable and reliable, so you can work with large amounts of information without worrying about any lag time in your workflow.
Scraper API has an intuitive interface that makes it simple for anyone who wants to get started extracting data without having any previous experience with such tools.
- Large Proxy Pool
- Excellent Customization Options
- Easy to use
- Fully customization
- Beginner Friendly
- Good Location Support
- Limitations with smaller plans
- Blocks Can be Experienced Sometimes
- Communication of timelines & support issues
- Fewer buttons to navigate
- Dashboard widgets could be more interactive.
- The help desk has very long wait times
- Slow application
Tabula is a data extraction tool for extracting tables from PDFs. It's written in Python, and it's free to use. Tabula is easy to use, highly customizable, and can extract tables from PDFs.
Similar to PyPDF2 Python PDF library.
Capterra Rating: 4.8
- High Performance
- Ease of Use
- Inflexible Valuation
- Security Problems
- High Cost
- Poor After-Sales Support
- Embedment Problems
- Poor Versioning
Matillion is a could data extraction software. It's a self-serve data extraction tool which means you don't have to pay any upfront fees or get locked into long-term contracts—you can start using it immediately!
The user interface of the data extraction platform is easy and therefore, you don't need to be an IT professional or proficient programmer. The platform has been built with flexibility in mind so that its functionality will grow as your needs change over time.
Capterra Rating: 4.3
- Easy to use
- Customer support
- Data integration and transformation
- Good performance
- Hard limit on the hardware
- No user community site
- Inconsistency of editing
- No backup option
- Pricing is high
Levity AI is a data extraction tool that uses cloud-based machine learning and AI to extract data from unstructured data sources. It allows businesses to extract data from websites, social media, surveys, forms, and more. The tool has three modules: a web crawler module, an interactive form analysis module, and an email scraping module.
- Reporting on collections
- Multiple payment gateways
- Simple bulk subscription management
- Setup is quite complex
- High pricing
- Poor customer support
- Communication with support again needs a lot of work
- The product catalog lacks vital features
- Mobile optimized interface is nonexistent
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Which is the best data extraction tool?
We've taken a look at ten different tools in this blog. It's time to pick up our bests.
- Best for Data extraction From Documents - Nanonets
- Best for Web scraping for e-commerce - Import.io
- Best for Table Extraction - Nanonets
- Best for Data Unification - Hevo
The best data extraction tool is Nanonets. It helps you extract text from different types of documents, such as PDFs, word documents, and more. The software can also be used to convert images into text files or PDFs.
Nanonets has a free version that allows you to extract up to 500 pages per month for personal use only. Start your free trial now.
Nanonets have been developed with 100% accuracy, so you can be sure that all your data will be extracted without any errors or inconsistencies. The tool also comes with an easy-to-use interface and supports 200+ languages. Hence, it's suitable for use by people from different backgrounds with varying levels of proficiency in technology.
Best for Web scraping for e-commerce - Import.io
Import.io has an intuitive drag-and-drop interface that makes it easy to set up extraction jobs, even for non-technical users. You can also use the built-in templates to save time when you're working on certain types of projects (like an eCommerce store).
The only downside is that you need an API key from each website before using this tool if you want to scrape its content - otherwise, it's free!
Nanonets is an excellent data extraction tool that can extract data from tables in various formats.
This software uses an algorithm to identify the fields in a table and then allows you to select them individually or all at once via the mouse or keyboard shortcut keys.
In addition, you can specify column headings and format them using formatting options such as bolding, italics, or underlining as well as insert formulas into your extracted results before exporting them into CSV files for further analysis in Microsoft Excel or Google Sheets, among others.
Best for Data Unification - Hevo
Hevo is a data extraction tool that can be used to unify the extracted data from websites, documents, and spreadsheets. Hevo also works with data from multiple sources, and it's cloud-based, so you don't need to download or install anything on your computer.
The best part about this service is that there are no monthly fees required for its usage because they charge based on how much information they extract/unify at once (you pay per page).
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Why do you need data extraction tools?
Businesses are dealing with a lot of data from various sources - customers, sales, social media, product feedback, and more. The data extraction software market growth rate provides insight into how data extraction software is playing a crucial role in data management at companies.
The data extraction software market is expected to grow at the rate of 11.8% y-o-y from $2.14 Billion in 2019 to $4.90 in 2027.
Corporations are collecting more data than ever, with the collected data increasing by 42% every year!
Now that we know a lot of data is present, what if we just get data analysts to do the job?
Why use data extraction software?
Well, a data extraction solution can accentuate the tasks performed by data analysts. Also, the software has added benefits over using manual processes.
The first reason to adopt Data extraction would be to automate manual tasks that take up a lot of time. Over 25% of Ceos' time is spent on manual data entry tasks which can be easily automated using an intelligent automation platform.
One other reason is to reduce errors in the data collection processes. Manual Data Extraction has a high error rate up to 30% which adds inconsistencies in your datasets.
Data Extraction tools can also improve the productivity of employees as employees focus on more strategic tasks rather than tedious and repetitive manual tasks.
Data extraction is the process of extracting information from physical documents, PDFs, customer profiles, social and media blogs, etc. in a simple method.
Why automated data entry is better than manual data entry?
- Automated data extraction can regularly produce accuracy rates of up to 95%+.
- It supports faster customer response times due to the quick processing of massive amounts of data.
- Although the initial cost of the investment is high, the long-term return is assured.
- Since all data entered by the system is automatically reviewed and confirmed using previous models, no reprocessing is required.
- Artificial intelligence (AI) and smart machine learning algorithms automatically adapt to file formats.
As a result, automated data extraction requires no human interaction and processes quickly.
Advantages of Data Extraction Platform
Data extraction tools are essential for data management for a variety of reasons. Data extraction software makes this procedure repeatable, automated, and sustainable in addition to streamlining the process of obtaining the raw data that will eventually influence application or analytics use. A crucial step in modernizing these repositories is using data extraction tools in a data warehouse, which enables data warehouses to integrate web-based sources in addition to conventional, on-premise sources. The advantages of data extraction tools are as follows:
Data extraction is a very accurate process. It lets you extract data from the source with high precision, which means that you can have more confidence in the information that you get when extracting data and use it for your business processes.
Data extraction allows you to control all aspects of extractions, including selecting sources, designing extraction rules, and defining destination data warehouse location/format. This gives you complete flexibility over what type of data can be extracted from various sources, where it will be stored, and how users will access it.
Efficiency & Productivity
With the correct tools in place, automated migration processes can significantly reduce the manual effort required to migrate large amounts of data between systems or locations. As well as saving time on each migration project itself, this also improves overall productivity by reducing the number of human errors made during manual processes (such as mistakes made during copy-pasting).
One of the most significant advantages of using data extraction tools is that they can handle a large volume of data and are often very easily scalable. This means that you can extract data from multiple sources at once and collate this information together in your destination location without needing to change any configuration settings.
Data extraction tools are generally very easy to use and set up, so there is little training required for users who want to perform migrations themselves.
If you work with invoices, and receipts or worry about ID verification, check out Nanonets online OCR or PDF text extractor to extract text from PDF documents for free. Click below to learn more about Nanonets Enterprise Automation Solution.
Categories of Data Extraction Tools
The kind of service a company offers and the goal of data extraction are two crucial factors to consider when choosing the finest data extraction tool for a firm. All of the tools are divided into three categories to help you comprehend this, and they are listed below:
1) Batch Processing Tools
Companies occasionally need to move data to another place, but doing so can be difficult since the data is either kept in old forms or in formats that are no longer supported. The best action in these situations is to move the data in batches. This would imply that the sources might not be very complicated and involve only one or a few data units. Batch processing might help transfer data within a building or other enclosed environment. This may be done after work hours to save time and reduce computer power.
2) Open Source Tools
When businesses are on a tight budget, open-source data extraction tools are preferred since they may be used to extract or reproduce given data. Employees of the company have the requisite expertise and knowledge to execute this. This can be compared to Open-Source tools since some paying suppliers provide free, restricted versions of their goods.
3) Cloud-Based Tools
Cloud-Based Data Extraction Tools are the predominant extraction products available today. They eliminate the strain of processing logic and security risks associated with managing data independently. In addition, they make it simple for everyone working at your company to have rapid access to data, which can be utilized for analysis, by enabling users to link data sources and destinations directly without creating code. There are several cloud-based solutions available.
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How to select the best Data Extraction Tool?
There are several factors you should consider when selecting a data extraction tool. Here are some of the most important to keep in mind:
- The level of compliance with security standards and regulations.
- The ability to secure sensitive data during extraction.
- The ability to retain metadata from source files, including author, time/date stamps, and formatting (such as indentations).
- Integration with other applications such as document management systems or ERP systems for automated notifications about changes in metadata and file structure.
- Compatibility with various operating systems such as Linux or Mac OS X for cross-platform use cases like desktop publishing workflows or mobile device backups by users who have different devices such as smartphones or tablets but share a common work environment at home/office where all their files may reside on shared storage drives accessible through cloud services
Data extraction is the process of transforming semi- or unstructured data into structured data. To put it another way, this process transforms semi- or unstructured data into structured data.
Data extraction has become crucial due to the dramatic rise in the amount of unstructured and semi-structured data. However, the data extraction procedure makes your job precise, improves your chances of making sales, and makes you more agile.
You must use the best data extraction software according to your needs to realize the full potential of data at your company. We hope our blog helps you make the decision.
Try Nanonets Data Extraction Platform to extract data from documents, PDFs and images on autopilot.
15 September 2022: The content is updated on 15 September 2022 to improve relevancy.