Please check your network connection and .

25 Best Data Extraction software in 2020

Finding the best Data Extraction Software for your business is now faster and easier! Compare prices, reviews, features, and get free consultation to find the perfect software.

Table of Contents

We live in an era of modernization where almost every organization thrives on data to make informed decisions. Data extraction software accelerates the process of data collection and makes it easy to store, organize, and in most cases, process and analyze it too. 

A data extraction system is a set of tools that can help extract or collect data from different web sources. The sources generally include web pages, PDFs, scanned text, emails, and other types of documents. 

The best part is that it can be customized as per your requirements, and it can extract information like name, age, sex, email IDs, addresses, bank details, and more. 

The software helps organizations in achieving their marketing goals by identifying their audiences and extracting data from the right medium. These data are then compiled into a database, which is actively used in developing new products and services and revising marketing policies. 

There are namely three types of data extraction software: 

  1. On-Premise Data Extraction Tools
    These types of software extract data in real-time or in batches. They can extract the incoming data in multiple formats. Furthermore, the tool can write that data to the desired platform. 

  2. Web Scraping Tools
    These tools are designed to automatically extract data from websites or web pages. It then stores the data in an Excel sheet or a database as desired.  Because of the software, extracting data from the web has become easier as well as cheaper than ever before. 

  3. Cloud-based Tools
    These tools enable businesses to extract data from various sources. Besides, it allows them to access the data from any devices. In fact, businesses can then make use of the structured data to further analyze and study it. 

For all we know, data extraction software helps with automating the process of data mining. Some of its benefits include: 

Better Analysis and Fast Decision Making

The role of effective data extraction software is not limited to only collecting data. But it can extract meaningful insights from the unstructured data and help businesses make informed decisions. 

Increases Productivity

Data extraction software streamlines and automates the process of collecting and storing data, which eliminates the need to manually process it. This directly impacts the productivity level of your employees. It removes repetitive data collection tasks, and they get more time to focus on core activities. Thus, it increases the company’s chances of success. 

Helps Extract Search Result Data for Competitor Analysis

To rank on top of the search result page, you need to keep an eye on your competitors’ activities. Data extraction software pulls out data such as metadata, keyword tags, backlinks, and more from your competitors’ websites. You can then use this data to run competitors’ analysis to know which keyword is driving the traffic towards them, and what kind of content is giving them engagement. 

Increases Data Accessibility

Gaining full visibility into your incoming data is very crucial. And that is possible with the help of a data extraction system. Any company under Fortune 1000 can increase their net income by $65 million if they have a 10 percent increase in data accessibility. That’s huge. 

Enhances Accuracy

When employees extract data from documents or other sources manually, it is prone to error. It can result in incomplete records, duplication, or missing information. Such mistakes can be easily avoided by automating the whole process of data mining. Data mining is important because it not only saves time and effort but also ensures data accuracy. 

If you want to make the most of data mining, you need to opt for the right data extraction. An effective data extraction software is capable of transforming collected data into actionable insights for businesses. Here are some of the must-have features of a data extraction system: 

Extract Data in Real-Time

For businesses to be able to make faster and smarter decisions, they need to have access to data in a timely manner. However, many organizations rely on batch data extraction. That means while analyzing, the information might not be up-to-date and have to make critical decisions based on historical data. Thus, it’s vital that an effective data extraction solution can collect and analyze data in real-time. For instance, you would need data on current inventory level if you want to conduct a sale. 

Support Common Documents Formats

Organizations collect data from multiple sources that are in structured, semi-structured, or unstructured formats. Structured formats are easy to process and analyze. However, the main problems lie with the unstructured formats. An ideal tool should be able to extract data from various common unstructured formats, including pdf, txt, docx, doc, rtf, and more so that businesses can gather as much data as possible. 

Export Data to Different Platforms

Another important feature of a data extraction solution is that it should enable users to export the converted data to different destinations. Some of these include Oracle, SQL Server, PostgreSQL, and more. 

Create Reusable Extraction Templates

An effective data extraction tool should allow users to build an extraction template for documents with the same type of layout. 

Now that you know the various benefits and features of data extraction software, the next step is to identify the right type of tool for your business. There are hundreds of data extraction tools available that make it harder to choose. Consider the following factors to narrow down your choices, and select the best option for your business. 

User Interface

It’s essential that the tool has an intuitive interface so that businesses can easily view the processed content. Graphical user interface (GUI) lets you separate editing from viewing, and it helps you handle data with little to no knowledge of coding. 

Scalability

Whether you are a small or a big corporation, eventually your data requirement is going to increase. That’s why it is ideal to deploy your software on a cloud service so that you can scale up without having to invest in a lot of hardware. Besides, software-as-a-service is easy and quick to make updates at a relatively low cost as compared to the traditional legacy systems.

Robust Functionalities

When you choose a system, make sure that it is capable enough to handle the entire process, including data extraction, filtering, sorting, and analyzing. The system should offer robust functionalities so that it can help build a proper workflow and adopt HTML structure changes. 

Support Team

Once you have implemented the system, there are chances that you might face some technical issues or the system might crash anytime. In such situations, you need immediate assistance from your vendors. That’s why always stop to check if they have a reliable and active customer support team in place. Otherwise, any disruption in the system that is not fixed quickly can hamper your business operation. 

In today’s time, organizations from every industry rely on data to formulate strategy and make informed decisions. However, the industry of data extraction can be largely defined in three categories. 

Service Industry

The service industry needs tools that can help them improve their service offerings. The customer service industry extracts data to identify the reason for the churn rate. Cable industry needs data to analyze their customer’s interest, and more.  

Ecommerce Industry

Ecommerce companies need data on their existing as well as their potential customers. Furthermore, they need data to study their target audience behavior so that they can offer personalized experiences to their consumers and increase their sales.

Government Agencies

Government agencies need data extraction software to collect data on infrastructure and economic changes. For example, they study traffic data so that they are able to build better road models and ease the situation of heavy traffic in certain areas. 

Even though technology is advancing, there are still many challenges faced during data extraction. 

Captchas

Captchas help separate humans from bots by displaying logical problems that humans can solve easily. But bots find it hard to solve. It is generally deployed to avoid spam. So it could be difficult to do basic scraping in the presence of captcha. However, new advancements are being made that will help get by these captchas ethically. 

Frequent Structural Changes

At the time of the setup, data scrapers are designed with respect to the code elements of the webpage. But when the scrapers see frequent structural changes on the website, it brings a lot of complications. Not every type of structural change affects the extraction process, but any changes can result in data loss. That’s why it is crucial to keep a tab on the latest changes made. 

Bots

Many websites do not allow automated web scraping. There are options that enable websites to choose whether they will allow data scraper bots on their site or not. Some of them prefer to turn it off because they don’t want their competitor to gain an advantage. Besides, it drains down the server resources of the website when they are being scrapped. This affects the site’s performance.

Showing 1 - 25 of 105 products

#1

Extract Systems

Free Consultation

#2

SimpleIndex

Free Consultation

#3

Octoparse

Free Demo

Frequently Asked Questions (FAQs)

  • Data extraction is the process of retrieving data out of different unstructured data sources, which is further used for processing.
  • Every business that relies on data to make important decisions needs well-designed data extraction software.
  • Luckily, yes. There are many free and open-source data extraction software options available. Free data extraction software ScrapeStorm, Parsehub, Tabula Open-source data extraction software: Scrapy, WebHarvy, SPIDA

Shrushti ChawaraBy Shrushti Chawara | Last Updated: October 29, 2020

Cookies Policy | This website uses cookies to ensure you get the best experience on our website. Got it