How to use the Scrapy framework for Web scraping
Scrapy is an application framework that allows developers to build and run their own web spiders. Written in Python and able to run on Linux, Windows, Mac and BSD, Scrapy facilitates the creation of self-contained crawlers that run on a specific set of instructions to extract relevant data from websites.
A main benefit to Scrapy is that it handles requests asynchronously and it is really fast. It also makes it easy to build and scale large crawling projects because it allows developers to reuse their code. This type of framework is ideal for businesses such as search engines as it allows them to constantly search and provide up-to-date results.Hire Scrapy Developers
2 Tasks - Project budget (Max 5000 INR) 1. I have a flask web application that runs scrapy spiders at the click of a button. As of now, all spiders are running one after another, I want them to run in parallel. Also, when the button is clicked it should be disabled untill complete spiders execution has been completed. 2. Deploy on Heroku or Pythonanywhere
Simple python script with using list of proxies.