- By Arya Admin
Science & Technology,
- Posted February 03, 2021
Data extraction tools for BTech computer science graduates
Data Extraction Tools for Computer Science Students
The industrial world continues to bask in the glory of Data Science and Big Data. With this, the importance of data is only strengthening and solidifying in today’s real world. Today, every major industry leverage data to gain meaningful industry insights and promote data-driven decision making for most of the businesses. Applications of data science are increasing with the advent of time. In this case, Data Extraction becomes all the more important. For this, students of BTech Computer Science Engineering Colleges must begin data extraction from multiple and disparate sources and then comes the processing and analyzing part.
What is Data Extraction?
Data Extraction is the technique of retrieving and extracting data from different sources of data processing and analyzing purposes. The extracted data may be defined as structured or unstructured data. Also, the extracted data is migrated and stored into a data warehouse which can be analyzed and interpreted for business cases.
To make the extraction process more manageable and efficient, Data Engineers of top engineering colleges in Jaipur make use of Data Extraction tools. When chosen carefully, Data Extraction tools can help different companies reap optimal benefits from data.
Import.io is a web-based tool that is used by the students of BTech Colleges in Jaipur for extracting data from websites. The best part about this tool is that they do not need to write any code for retrieving data Import.io does that by itself. This tool is best suitable for e-commerce and retail, equity research, sales and marketing intelligence, and risk management.
The biggest USP of Import.io is helping companies to achieve success using “smart data” along with data visualization and reporting features. To use this Data Extraction tool, graduates do not require any special skills or expertise. It is very user-friendly and accessible to users of all skill levels.
It is one of the most extensively used web scraping and Data Extraction tools in the market. It browses the Web and automatically collects and organizes relevant data from online sources. The tool first segregates web pages into separate elements and then navigates them individually to extract the most relevant data from the students of computer science engineering colleges in Jaipur. Also, it is primarily used for extracting data tables, links, images, email IDs, and much more.
It is a generic tool that packs in a wide range of usage. It varies from ad hoc data extraction on distinct research topics to performing SEO analysis on websites. In addition, it combines a mix of both simple and advanced functions, including data structure and recognition web scraping. It has an extension for both Chrome and Mozilla Firefox.
With Octoparse, nts of best engineering colleges can extract data in three simple steps including pointing, clicking, ad extracting without requiring any code. They just have to enter the website URL that wish to scrape and extract data from, then click on the target data, and finally run the extraction function to retrieve the data. It allows them to scrape any website and uses automatic IP rotation to prevent sites from blocking your IP address.
This enables them scrape as many websites as they would like. Besides being extremely user-friendly, Octoparse is comprised of many advanced features like a 24/7 cloud platform and scraping scheduler. Also, they can download the extracted data as CSV, Excel, API files or save them directly to your database.
With Web Scraper, they can build site maps from different kinds of selectors which further makes it possible to tailor Data Extraction to disparate site structures. The Cloud Web Scraper service enable them access the extracted data via API or webhooks. Since it has an in-built cloud service, it can scale with their growing business.
They simply have to open a website and click the data they want to extract. ParseHub’s ML relationship engine can screen the page/site to understand the hierarchy of elements and hand out the desired data quickly. It helps them download the extracted data in JSON, Excel, or API formats. Also, they can instruct ParseHub to search through forms and maps, login to websites, open drop downs. And also handle websites with infinite scroll, tabs, and pop-ups.
Mailparser is an advanced email parser that can directly extract data from emails. Email parsing is different from web scraping instead of extracting data from HTML websites, the tool pulls data from emails. It is a powerful and easy-to-use tool that lets students of BTech engineering colleges in Rajasthan extract data without requiring any elaborate coding. It has an all-round tool like the HTTP Webhook that can perform a wide variety of functions.
To use Mailparser, they need to forward the emails to it, and the tool automatically scrapes the data them want to extract based on the custom extraction rules that they feed in the tool during the set-up process. After the data is retrieved, they can export the scraped data either through file downloads/native integrations. Or through the generic HTTP Webhooks.
DocParser - a Data Extraction tool particularly designed to extract data from business documents. This versatile tool makes use of a custom parsing engine that can support different use cases. It extracts all the relevant information from business documents and moves it directly to the desired location.
DocParser completely eliminates the task of manual data entry and streamlines their business with non-disruptive workflow automation. They can use DocParser for processing invoice and accounts payable; converting purchase & sales orders, and HR forms; extract data from standardized contracts and agreements, among other things.
Several Data Extraction tools should be on your checklist if you work with Big Data or are aspiring to build a career in this field. So, the biggest benefit of using Data Extraction tools is that they eliminate the manual factor from the equation. And further saves both time and money.
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