Before start with scrapy. I hope you’re already familiar with python or python package installer. They both are required to install scrapy on your machine. Scrapy requires a python 3.6+ version.

If you don’t have to install python on your machine you just need to install it first.

Install pythonhttps://www.python.org/downloads/

Download python from the above links and install it to your system.

After installing python, you just need to install the python package install in your system or you can create a virtual environment for your scrapy project

Python package install

In python, we can use anaconda for a virtual environment

Install anaconda https://www.anaconda.com/products/individual#windows

Download anaconda from the above links and install it in your system.

Pip installs python packages whereas Conda installs packages that may contain software written in any language.

# Install scrapy on your machine using the following command on cmd or conda cmd

# Afterinstallation you check scrapy in your system using the following command

# Forcheck scrapy version on your system

# Run a quick benchmark test

Scrapy Comes With A Simple Benchmarking Suite That Spawns A Local HTTP Server And Crawls It At The Maximum Possible Speed. The Goal Of This Benchmarking Is To Get An Idea Of How Scrapy Performs In Your Hardware, In Order To Have A Common Baseline For Comparisons. It Uses A Simple Spider That Does Nothing And Just Follows Links.

# For example check static website URL using scrapy

Your Website Url

# Save/Download static website in local machine using scrapy where

Your Website Url >Your Output File Name

# Open your website URL in a web browser for static website

# For scrapy shell

# Shelp() to see all commands

# Use xpath or css in scrapy in scrapy shell

For xpath

For CSS

When you start any project in scrapy just create a separate directory for your project

# Make a new directory

# Swtich to your new directory

# Create your first scrapy project

Your scrapy project name

# Enter to your project folder

# Create the first spider for the project first switch to spider folder in cmd then run this command

Spider Name website URL

Use for import Link Extractor, CrawlSpider, Rule

#First we need to switch spider location in command prompt then run the spider

Spider Name

#Example project for scraping product data from amazon eCommerce website

reference url https://blog.datahut.co/tutorial-how-to-scrape-amazon-data-using-python-scrapy/

For Official Documentation for Scrapy

Https://Docs.Scrapy.Org/En/Latest/Topics/Commands.Html

Author Name : Deepesh sharma

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