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Divanshu Khatter

Divanshu Khatter

I manage Marketing at Scrapingdog. My job is to look at traffic channels and revenue growth, and manage growth at Scrapingdog. I am still a learner, and still figuring out the more pain points our users may have so that we solve them through our content.

Summarize web pages at scale

Latest

Discover how Scrapingdog’s AI Scraping API helps you summarize web pages at scale, streamline workflows, and boost productivity.
search engine scraping

Search Engine Scraping: Challenges, Use Cases & Tools

In this blog, we have explained what search engine scraping is. What are the challenges in scraping search engines, its use cases and finally some tools to do it.
Web Scraping Statistics & Trends You Need to Know in 2026

Web Scraping Statistics & Trends You Need to Know in 2026

Discover the latest web scraping statistics and trends for 2026. Learn how data extraction is evolving and what it means for businesses and developers.
Building A YouTube Comment Sentiment Analyzer App Using Scrapingdog & Lovable

Building A YouTube Comment Sentiment Analyzer App Using Scrapingdog & Lovable

Learn how to build a YouTube comment sentiment analyzer using Scrapingdog, Lovable, and the ChatGPT API. Explore data scraping, sentiment analysis, and AI integration.
Building Google AI Mode Tracker For Your Brand

Building A Simple Google AI Mode Query Tracker using Scrapingdog

Learn how to create a simple Google AI Mode query tracker using Scrapingdog's API. A beginner friendly guide to start tracking AI queries efficiently.
How Flik Uses Scrapingdog’s API To Power Their Shopping App With Real-Time Data

Case Study- How Flik Uses Scrapingdog’s API To Power Their Shopping App With Real-Time Data

Discover how Flik integrates Scrapingdog’s API to deliver real-time product data and pricing, enhancing the shopping experience with up-to-date information.
Buiding Plant Identifier App using Lovable & Lens API

Building A Plant Identifier Web App Using Scrapingdog Google Lens API

In this tutorial, we have build a web app to identify plants by clicking pictures. The tools we have used are Google lens API, lovable & Cloudinary.