Generative Data Intelligence

Top 10 Data Extraction Tools in 2022

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In today’s world of data, it is becoming increasingly important to extract information from data using the right tools. Data extraction is a process in which you can pull relevant information from your database for future analysis and reporting purposes using several tools. However, before diving deep into this concept, let us first understand what data extraction means and why you need it in your life!

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, 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:

Data extraction is the process of extracting information from physical documents, PDFs, customer profiles, social and media blogs, etc. in a simple method.


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

Nanonets Data Extraction Tool
Nanonets Data Extraction Tool

Nanonets is an excellent data extraction tool with a strong technical support staff that helps users overcome obstacles and realize the full potential of automated data entering processes.

Organizations can embrace automation easily with Nanonets’ intelligent document processing use cases. It automates invoice, receipt, and document evaluations and eliminates manual operations. Additionally, it could reduce expenses by up to 50% and processing times by up to 90%.

Pros of using Nanonets

  • Easy to use
  • Document digitalization
  • 100% Accurate
  • User friendly
  • Excellent support team
  • Fast information recognition
  • Ability to intake large volumes of documents
  • Reasonable pricing

Cons of using Nanonets

  • Limited outcomes when used internally
  • It takes some time to tag invoices and map the details.
  • No mobile app
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Hevo

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 (including PDFs). Hevo can also be used to scrape data like 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. It works by automating your extraction process so that you don’t have to collect information from each page one at a time manually.

Brightdata

Brightdata is a cloud-based data extraction tool that can be used to extract data from websites, documents, 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) for 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. You’ll also find detailed reporting capabilities within Brightdata’s interface so that you can easily access all the information you need regarding your search criteria across different data sources (such as webpages).

Import.io

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 that make it easy for users to get the data they need without writing code or using complicated tools. These include:

  • Import.io Extractor – This feature allows users to scrape any web page on which they have access quickly. It also allows you to add custom CSS selectors if needed (for example, if you want only specific text or images).
  • Email Extractor – This feature allows you to collect relevant information from your inboxes by extracting email addresses and other contact info like company names and phone numbers so that you can target potential customers directly through marketing campaigns on social media platforms such as Facebook Ads Manager or LinkedIn Sales Navigator (both of which integrate with Import Hub).

Improvado

Improvado provides a wide range of tools for data analytics, including 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. Improvado also offers a free trial period with no credit card required (you’ll just need to provide an email address).

Alooma

Alooma is a data warehouse and data pipeline platform that helps companies ingest, process, and analyze their data. Alooma is open-source software that allows users to build their ETL pipelines.

Alooma enables users to extract and transform 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.

Scraper API

Scraper API is a web scraping tool that offers a wide range of features. It’s easy to use and accessible, making it an ideal option for anyone looking to start using data extraction tools. Scraper API 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. Furthermore, you’ll never have problems finding what you need because everything is clearly laid out in front of you—the only decisions left are yours!

Tabula

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.

The typical workflow with Tabula goes like this:

  • You upload your documents to Tabula or download them from the web interface if they’re already there.
  • You select one or more documents on the left-hand side of the interface and then choose what kind of table you want to create—or if you wish to create charts as well (the default). For example, if you want only table data without any headers or footers, select “Table Data Only”. On the other hand, if you’d instead leave out all extra info such as column headers but still include row numbers at the top right corner per page layout that was used during creation time (e.g., so readers know where they are), go ahead with “Table without Header Rows”.
  • You can also choose between exporting CSV format or JSON format files; both options have pros and cons depending on how much customization was needed in terms of defining field types (text vs. date) etc.

Matillion

Matillion is a data extraction tool that is cloud-based. It’s a self-serve data extraction tool. That 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 Matillion Data Extraction Platform has been designed with ease of use in mind. You don’t need to be an IT professional or proficient programmer; if you can use Microsoft Excel, then you’ll be able to use Matillion without needing any training or support from us (although we do offer both). And suppose your business needs are more complex than simply extracting data from spreadsheets and sending it to your CRM system. In that case, there’s no need for concern: the platform has been built with flexibility in mind so that its functionality will grow as your needs change over time.

Levity AI

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.

The web crawler takes any website’s content (texts) and analyzes it based on predefined rules so you can get the valuable information you need immediately. For example, with the interactive form analysis module, you can analyze customer feedback or survey results by extracting text fields that are filled out by users when they are offline or online on their phones/tablets/computers. Email scraping allows you to extract emails from HTML emails without having to open them first because all the necessary information, such as contact name & email address, will be extracted automatically for each email address found in those HTML files.


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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. The paid version will enable you to extract up to 2 million pages per month for commercial use only (you can also purchase credits in case you need more). You must read their terms of service before purchasing any credits so there aren’t any surprises when it comes time to pay your bill!

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 multiple 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 is a web scraping tool that can be used to extract data from websites and convert it into structured data. The tool has an intuitive drag-and-drop interface that makes it easy to set up extraction jobs, even for non-technical users.

Import.io allows you to build a custom extractor with drag and drop blocks, which makes the process of building your extraction process much more accessible than other tools like Scrapebox or Screaming Frog SEO Spider. 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. For example, nanonets can extract data from Excel, PDF, and HTML tables.

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.

Nanonets has a user-friendly interface, so it’s easy to use for any business or individual who needs to extract data from tables.

Best for Data Unification – Hevo

Hevo is a data extraction tool that can be used to extract 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. It is, therefore, easy to use and will save time in the long run.

The main advantage of using Hevo is that you can extract data from websites without knowledge about coding or web scraping techniques. You only have to provide the URL of the website where your desired information resides and click the “Extract” button on their website builder platform.

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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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:

Accuracy

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.

Control

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).

Scalability

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.

Ease-of-use

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.


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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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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

Conclusion

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. Structured data can produce meaningful insights that may be used for reporting and analytics. 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. It’s a method that companies and enterprises use to make their operations better and more straightforward.


Nanonets online OCR & OCR API have many interesting use cases that could optimize your business performance, save costs and boost growth. Find out how Nanonets’ use cases can apply to your product.


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