DataMiner: Explore the Quick Guide

Data miner is a free data extension tool and browser extension that enables you to scrape web pages and gather secure data easily and effortlessly. Therefore, it automatically gathers data from web pages and saves it in Excel, JSON, or CSV formats. Furthermore, keep in mind that gathering data from websites in huge numbers might violate their terms of the law and use.

Introduction

Are you all set to use a dataminer for web scraping? If so, this blog is the perfect match for you! However, if you are interested in data extraction, it is normal for you to like web scraping extensions like Dataminer. However, you might not be familiar with all the multiple aspects regarding the extension.

Moreover, Dataminer is a web scraping extension, and every extension has its own limitations and strengths. In this blog, we will highlight Dataminer in detail with all the vital features, pros & cons and many more. Therefore, you will get to know the details about the advantages and disadvantages of Dataminer, the alternatives to Dataminer, and much more. Let’s get started!

What is DataMiner?

Dataminer is a tool designed for data extraction. You can use it as an extension in Edge Browser and Google Chrome. You can use it to scrape data from multiple websites. Once scraped, data can be exported to a CSV or Excel file. It can tackle multi-page and both-single-page scraping, which makes it useful for diverse web scraping needs and requirements. It has robust privacy and data security norms in place so user data remains safe. Moreover, its simple-to-use interface and customisation options make it a good tool. Nevertheless, it has limitations like a lack of proxy support or API for automated integration.

What are the Features of DataMiner?

1. Extract Tables & List

This feature is mostly used to get accurate data lists and tables on websites easily and effortlessly.

2. 1Click Scraping

You can scrape all accurate data in seconds by using the 1Click Scraping tool. Therefore, you can also get it as a CSV file.

3. Scrape Paginated Results

Scrape paginated results are one of the best features for automatically navigating paginated outcomes and accurate data.

4. Pages Behind Login / Firewall

This feature is used for scraping data from web pages behind a login or inside your corporate firewall.

5. Open & Scrape a list of URLs

Using open & scrape provides a set of URLs from which the data miner can scrape accurate data.

6. Run Custom Javascript

Use a custom Javascript feature in Dataminer to clean up the scraped data. For instance, You can extract emails.

7. Javascript API hooks

Get to hook your custom Javascript code to Post and pre-scraping events.

Practical Application of DataMiner in Academic Use

Here are some of the practical applications of Dataminer in academic use.

1. Market Intelligence

Dataminer helps you collect market insights by extracting pricing data and information, vital reviews, and product information from other websites that you include in your academic projects.

2. Academic Research

You can use Dataminer to analyse and collect data for academic studies. Likewise, it includes statistical analysis, data visualisation, and surveys.

3. Content Aggregation

You can use Dataminer to create content and market. Furthermore, to collect multiple news articles, social media content, blog posts and many more, you can get help from different sources for curation and analysis using Dataminer.

What is the Cost of a Data Miner?

Well! Dataminer is a free tool. You can scrape websites up to 500 pages/month. In a similar way, if you have to scrape more than 500 pages, you can purchase from the standard monthly Dataminer that is mentioned below.

1. Solo

2. Small Business

3. Business

4. Business Plus

What is a Dataminer used for?

Dataminer is used for data scraping or web scraping. It is a process of importing data from websites into files or spreadsheets. Therefore, it is used to extract accurate data from web pages or to reuse the data on other websites for personal use by the scraping operator. Likewise, there are numerous software applications for automating data scraping.

Data scraping in Dataminer is commonly used for:

1. Gather business intelligence to inform web content.
2. Determine prices for comparison sites or travel bookings.
3. Conduct market research or find sales leads through public data sources. 
4. Send product data from eCommerce sites to online shopping platforms like Google Shopping.

What is the Work of a Data Miner?

Dataminer is a browser extension software that guides you in extracting data that you see in your browser and saving it into an Excel spreadsheet file. Furthermore, Dataminer is a personal browser extension that allows you to transform HTML data in your browser window into a clean table format. Your data is always secure and private, and it never leaves your standard machine.

Advantages of DataMiner

Here are some of the advantages of Dataminer that you must know before working on a data mining assignment.

1. Speed and Scope

Data scraping allows you to collect accurate information efficiently and quickly.

2. Verification

Data scraping can help you in the verification procedure. Therefore, you can compare data to check information on the web page and point out contradictions. Another key point it helps verify information and boost its credibility.

3. Uncovering Trends

Data scraping can be used to uncover patterns related to a specific topic or event. By studying a huge number of datasets, you can understand the trends in public opinion or social media and integrate this information into your academic projects.

4. Data Visualisation

Visualising the data gathered by data scraping helps you present your stories more precisely and effectively. You can make the data more understandable and provide readers with a better understanding of the topic by using charts, graphs and attractive visuals.

5. Enabling In-Depth Investigation

Data scraping in Dataminer allows you to conduct a more in-depth and accurate research analysis. By studying large datasets, for instance, in financial data, you can gain an in-depth understanding and insights of the government policies or company operations.

Disadvantages of DataMiner

Here are the imperative limitations of Dataminer that you must consider while preparing your academic research project.

1. Limited Scope

As it is a part of the browser, it can’t function as highly complicated or large scale data extraction tasks. In a similar way, it is limited to small to medium scale web scraping projects.

2. No Proxy Support

It means that if a website blocks you when your scraping comes to an end. Hence, there is no alternative to continue the scraping process from that specific website.

3. No API

Without API, you can’t integrate the extracted data into your system. As a matter of fact, you can only download and save it in Excel or CSV and then import it into your database.

4. Costly

The top paid plan lets you extract 9, 000 pages/month for 200 AUD dollars. However, if you compare it to a full-fledged website scraping service, it is extensively expensive. Additionally, you have to pay 300 AUD dollars per website for custom multi-level scraper creation.

5. One Page can be Scraped at a Time

You can scrape one page at one time. This means that it will take you around 1.5 to 2 hours to scrape 500 pages. In a similar way, it also means that you need to constantly monitor it to ensure it does not interrupt or stop in between.

Similar Tools like DataMiner that you must Know! 

Here is the list of top 10 similar tools like Dataminer you must when preparing your projects related to Dataminer tool. Let’s check it out one by one.

1. Fortinet FortiManager

Key Features 

• Constantly evolving due to threats
• Focus on mitigating company-wide threats
• Features to contain threats as well as providing flexibility
• Evolve along with your ever-changing network

2. SolarWinds Network Configuration Manager

Key Features 

• Starts with carefully planned, executed, and monitored network configuration and change management
• Saves time and improves network reliability
• Security by managing configurations, changes, and compliance for routers

3. IBM Tivoli NetCool

Key Features 

• Delivers near real-time, consolidated event management across business
• infrastructure
• The software provides full management and automation
• Help you deliver continuous uptime of business services and applications

4. OpenText Network Node Manager

Key Features 

• Delivers powerful capabilities
• Enables NOCs to manage modern networks
• Help your team reduce time to resolve issues
• NNMi is a core component of Network Operations Management

5. ManageEngine Network Configuration Management

Key Features 

• Network configurations are in constant flux, and any wrong or unauthorised configuration change
• Equipment can have profound effects on network security, reliability and the service provided

6. Citrix ADM

Key Features 

• It is a centralised management solution.
• You can manage and monitor Citrix application networking products

7. ExtremeManagement

Key Features 

• Provides access to web-based reporting, network analysis, troubleshooting, and helpdesk tools. 
• Includes wired/wireless dashboards, reports, end-system information and policy
• Interactive topology maps, application identification
• Enable assessment of network issues and performance

8. SolarWinds Network Topology Mapper

Key Features 

• Automate device discovery and mappingBuild multiple maps
• Export network diagrams to VisioAuto-detect 
• Changes to network topology Perform multi-level network discovery
• Address regulatory PCI compliance

9. EMCO Remote Shutdown

Key Features 

• It is a network solution
• Centrally manage PCs available in the local network
• Can shutdown, wake up, reboot one or multiple network PCs remotely
• Perform other operations to manage them

10. Outscraper

Key Features 

• It is a fully featured Web Scraping Software designed to serve Startups, SMEs, and Enterprises.
• Provides end-to-end solutions designed for Web App
• Offers Lead Generation, Web Scraping in one place

Let’s Conclude Here! 

As we all know, scraping accurate data and information from web pages is imperative when working on academic projects. However, if you need assistance with data mining assignment, feel free to connect with My Assignment Services. We have an exceptional team of highly skilled and qualified academic mentors who are all set to assist you with any kind of doubts. Also, here in this blog, we have discussed one tool. If you want more informative blogs on different tools that can help you in your academic projects, go through our official website. There, you will find a wide range of tool blogs. Therefore, we are not limited to that! We have conducted 100+ tools in a 100-day series where you will have precise information about all the unique tools. So, stay updated with our amazing tool blogs. 

Frequently Asked Questions 

Is Data Miner Safe? 

 Yes, it is safe using Dataminer. It never sells or shares your data to any third parties. Therefore, it has strong security and privacy protocols. 

Can I Integrate Data Miner into my system for Automatic Data Scraping?

There is no API integration. Therefore, it means that you can scrape the data using this particular tool but can’t have automatic integration into your system. It is manual in that sense that you will need to extract that precise data, download it as an Excel or CSV file and then import it into your analytics tool or database. 

How Efficient Is Data Miner In Terms Of Time Taken To Scrape Pages?

Data Miner scrapes data at a slower pace. In addition, the tool takes around 1.5 to 2 hours to scrape 500 pages because it scrapes one page at a time. Nevertheless, while this is going on, you are required to keep track of it so that it doesn't have interruptions or the browser hang-up.

What is the Limit on Data Miners?

The free plan provides you with free excess to 500 pages/month. Therefore, the count resets on a monthly basis if you do not scrape in a provided month your account will be automatically locked indefinitely. 

Is Data Scraping Legal?

Web scraping is legal if you scrape data that is publicly available on the internet. However, some kinds of data are protected by terms of service or international regulations, so take great care when scraping data behind a login, personal data, intellectual property, or confidential data.