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arrow-left-icon Blog > Posts by Jeena Timalsina

Insightful articles on everything data

How-To Guides

Common Challenges in Web Scraping and Their Solutions Using RPA

What comes to your mind when I say think of a detective?  A sharp mind, a piercing gaze that misses[…]

How-To Guides Knowledge Base Use Cases

Transforming Operations: RPA and Web Scraping in Action

Imagine a world where you no longer have to do the repetitive grunt work that neither sparks joy nor creativity. […]

How-To Guides

Web Scraping Best Practices for RPA Integration

The new era of RPA- a shift from manual hard work to automated smart work in business.  RPA is the[…]

Business Strategy

Harness The Power of Web Scraping for Qualitative Data Extraction

With the rise in Global Big Data analytics, the market’s annual revenue is estimated to reach $68.09 billion by 2025.[…]

Business Strategy

Quantitative Data: Definition, Types, Collection & Analysis

Data is ubiquitous and plays a vital role in helping us understand the world we live in. Quantitative data, in[…]

How-To Guides

Extract Google Trends Data by Web Scraping

Approximately 99,000 search queries are processed by Google every passing second. This translates to 8.5 billion searches per day and[…]

Business Strategy

What is Qualitative Data Analysis? Explore Types, Methods, and Examples

“Data is what distinguishes the dilettante from the artist.”  — George V. Higgins Quick Answer: Qualitative data analysis is the[…]

Business Strategy

Blog Scraping: Uncover Opportunities for Data-Driven Growth

A study by HubSpot marketing shows that those businesses who publish blogs get 55% more website visitors, 77% more inbound[…]

AI, ML Training Data

Relevance of Web Scraping in the Age of AI 

Artificial Intelligence (AI) has flourished into a rapidly evolving domain of computer systems that can function perfectly in tasks that[…]

Knowledge Base

ETL Data and Web Scraping Brilliance

Did you know that in a world drowning in information, making sense of raw data from the internet is like[…]

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