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Manthan Koolwal

Manthan Koolwal

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I am the founder of Scrapingdog, with blogs I write on here, I try to give unique ideas that you can use while scraping. Each blog is a recipe blended with my experience in this domain. Now I am not an expert, since it is a vast field, it keeps growing, and I just write what I have learned. And if you like my work, do share on social media.

Challenges in Web Scraping

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7 Challenges in Large Scale Web Scraping & How To Overcome Them

In this read, we have listed out some of the challenges that you may have during large scale data extraction. You can build a hassle free data pipeline using a Web Scraping API.
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Build Amazon Price Tracker using Python

Build Amazon Price Tracker using Python (Get Email Alerts on Price Drop)

In this article, we will learn how to build an Amazon price tracker using Python, to keep an eye on our favorite product. When the price drops, the system is built to send us alerts.
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C# web scraping

A Comprehensive Guide on Web Scraping with C#

In this blog, we have discussed how you can scrape LinkedIn profiles using Python.
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Scraping Email from any website

How To Scrape Email Addresses From Any Website

In this blog, we have explained how you can scrape email address from websites. We have used Google Sheets and scraped Google search results to get the email data.
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how to use proxy with python requests

How To Use A Proxy With Python Requests

We will learn, how to use a proxy request with Python. Further, we have told, how you can use Scrapingdog rotating proxies with Python requests.
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User Agents in Web Scraping

A Complete Guide on User-Agents in Web Scraping (+Best User-Agent List)

In this comprehensive tutorial we have discussed what are user agents in web scraping, how to use them effectively and why you should use them when scraping.
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Scraping LinkedIn Jobs

Scrape LinkedIn Jobs using Python (Save Data in CSV)

In this blog, we are going to scrape linkedin Jobs using Python. Further, you can use Scrapingdog's LinkedIn Jobs API to scale this process. We have saved the scraped data in a CSV file.
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