Scrapy - Command Line Tools
Last Updated :
29 Jun, 2021
Prerequisite: Implementing Web Scraping in Python with Scrapy
Scrapy is a python library that is used for web scraping and searching the contents throughout the web. It uses Spiders which crawls throughout the page to find out the content specified in the selectors. Hence, it is a very handy tool to extract all the content of the web page using different selectors.
To create a spider and make it crawl in Scrapy there are two ways, either we can create a directory which contains files and folders and write some code in one of such file and execute search command, or we can go for interacting with the spider through the command line shell of scrapy. So to interact in the shell we should be familiar with the command line tools of the scrapy.
Scrapy command-line tools provide various commands which can be used for various purposes. Let's study each command one by one.
Creating a Scrapy Project
First, make sure Python is installed on your system or not. Then create a virtual environment.
Example:
Checking Python and Creating Virtualenv for scrapy directory.
We are using a virtual environment to save the memory since we globally download such a large package to our system then it will consume a lot of memory, and also we will not require this package a lot until if you are focused to go ahead with it.
To activate the virtual environment just created we have to first enter the Scripts folder and then run the activate command
cd Scripts
activate
cd..
Example:
Activating the virtual environment
Then we have to run the below-given command to install scrapy from pip and then the next command to create scrapy project named GFGScrapy.
# This is the command to install scrapy in virtual env. created above
pip install scrapy
# This is the command to start a scrapy project.
scrapy startproject GFGScrapy
Example:
Creating the scrapy project
Now we're going to create a spider in scrapy. To that spider, we should input the URL of the site which we want to Scrape.
Directory structure
# change the directory to that where the scrapy project is made.
cd GFGScrapy
# input the URL
scrapy genspider spiderman https://quotes.toscrape.com/
Hence, we created a scrapy spider that crawls on the above-mentioned site.
Example:
Creating the spiders
To see the list of available tools in scrapy or for any help about it types the following command.
Syntax:
scrapy -h
If we want more description of any particular command then type the given command.
Syntax:
scrapy <command> -h
Example:
These are the list of command line tools used in scrapy
The list of commands with their applications are discussed below:
- bench: This command is used to perform benchmark test means whether the scrapy software can run on the given system environment.
Syntax:
scrapy bench
- check: Checks the spider contracts.
Syntax:
scrapy check [options] <spider>
Example:
Scrapy check command- crawl: This command is used to crawl spider through the specified URL and collect the data respectively.
Syntax:
scrapy crawl spiderman
Example:
Spider crawling through the web page- edit and genspider: Both these command are used to either modify the existing spiders or creating a new spider respectively,
- version and view: These commands return the version of scrapy and the URL of the site as seen by the spider respectively.
Syntax:
scrapy -version
This command opens a new tab with the URL name of the HTML file where the specified URL's data is kept,
Syntax:
scrapy view [url]
Example:
Version checking - list, parse, and settings: As the name suggests they are used to create the list of available spiders, parse the URL of the spider mentioned, and setting the values in the settings.py file respectively.
Custom commands
Apart from all these default present command-line tools scrapy also provides the user a capability to create their own custom tools as explained below:
In the settings.py file we have an option to add custom tools under the heading named COMMANDS_MODULE.
Syntax :
COMMAND_MODULES = 'spiderman.commands'
The format is <project_name>.commands where commands are the folder which contains all the commands.py files. Let's create one custom command. We are going to make a custom command which is used to crawl the spider.
- First, create a commands folder which is the same directory where the settings.py file is.
Directory structure- Next, we are going to create a .py file inside the commands folder named customcrawl.py file, which is used to write the work which our command will perform. Here the name of the command is scrapy customcrawl. In this file, we are going to use a class named Command which inherits from ScrapyCommand and contains three methods for the command to be created.
Program:
Python3
from scrapy.commands import ScrapyCommand
class Command(ScrapyCommand):
# requires the use of project
requires_project = True
# syntax for command
def syntax(self):
return '[options]'
# description of command
def short_desc(self):
return 'Runs the spider using custom command'
# the main running command
def run(self, args, opts):
# derieves to spider of scrapy project
spider = self.crawler_process.spiders.list()
# calls crawl command for that particular spider
self.crawler_process.crawl(spider[0], **opts.__dict__)
# starts the crawl
self.crawler_process.start()
- Since now, we had created a commands folder and a customcrawl.py file inside it, now it's time to give scrapy access to this command through the settings.py file.
So under the settings.py file mention a header named COMMANDS_MODULE and add the name of the commands folder as shown:
settings.py file- Now it's time to see the output
Syntax:
scrapy custom_command_file_name
Example:
Our custom command runs successfully
Hence, we saw how we can define a custom command and use it instead of using default commands too. We can also add commands to the library and import them in the section under setup.py file in scrapy.
Similar Reads
Implementing Web Scraping in Python with Scrapy Nowadays data is everything and if someone wants to get data from webpages then one way to use an API or implement Web Scraping techniques. In Python, Web scraping can be done easily by using scraping tools like BeautifulSoup. But what if the user is concerned about performance of scraper or need to
5 min read
Getting Started With Scrapy
Scrapy Basics
Scrapy - Command Line ToolsPrerequisite: Implementing Web Scraping in Python with Scrapy Scrapy is a python library that is used for web scraping and searching the contents throughout the web. It uses Spiders which crawls throughout the page to find out the content specified in the selectors. Hence, it is a very handy tool to
5 min read
Scrapy - Item LoadersIn this article, we are going to discuss Item Loaders in Scrapy. Scrapy is used for extracting data, using spiders, that crawl through the website. The obtained data can also be processed, in the form, of Scrapy Items. The Item Loaders play a significant role, in parsing the data, before populating
15+ min read
Scrapy - Item PipelineScrapy is a web scraping library that is used to scrape, parse and collect web data. For all these functions we are having a pipelines.py file which is used to handle scraped data through various components (known as class) which are executed sequentially. In this article, we will be learning throug
10 min read
Scrapy - SelectorsScrapy Selectors as the name suggest are used to select some things. If we talk of CSS, then there are also selectors present that are used to select and apply CSS effects to HTML tags and text. In Scrapy we are using selectors to mention the part of the website which is to be scraped by our spiders
7 min read
Scrapy - ShellScrapy is a well-organized framework, used for large-scale web scraping. Using selectors, like XPath or CSS expressions, one can scrape data seamlessly. It allows systematic crawling, and scraping the data, and storing the content in different file formats. Scrapy comes equipped with a shell, that h
9 min read
Scrapy - SpidersScrapy is a free and open-source web-crawling framework which is written purely in python. Thus, scrapy can be installed and imported like any other python package. The name of the package is self-explanatory. It is derived from the word 'scraping' which literally means extracting desired substance
11 min read
Scrapy - Feed exportsScrapy is a fast high-level web crawling and scraping framework written in Python used to crawl websites and extract structured data from their pages. It can be used for many purposes, from data mining to monitoring and automated testing. This article is divided into 2 sections:Creating a Simple web
5 min read
Scrapy - Link ExtractorsIn this article, we are going to learn about Link Extractors in scrapy. "LinkExtractor" is a class provided by scrapy to extract links from the response we get while fetching a website. They are very easy to use which we'll see in the below post. Scrapy - Link Extractors Basically using the "LinkEx
5 min read
Scrapy - SettingsScrapy is an open-source tool built with Python Framework. It presents us with a strong and robust web crawling framework that can easily extract the info from the online page with the assistance of selectors supported by XPath. We can define the behavior of Scrapy components with the help of Scrapy
7 min read
Scrapy - Sending an E-mailPrerequisites: Scrapy Scrapy provides its own facility for sending e-mails which is extremely easy to use, and itâs implemented using Twisted non-blocking IO, to avoid interfering with the non-blocking IO of the crawler. This article discusses how mail can be sent using scrapy. For this MailSender
2 min read
Scrapy - ExceptionsPython-based Scrapy is a robust and adaptable web scraping platform. It provides a variety of tools for systematic, effective data extraction from websites. It helps us to automate data extraction from numerous websites. Scrapy Python Scrapy describes the spider that browses websites and gathers dat
7 min read
Data Collection and Management
Data Extraction and Export
How to Convert Scrapy item to JSON?Prerequisite:Â scrapyJSON Scrapy is a web scraping tool used to collect web data and can also be used to modify and store data in whatever form we want. Whenever data is being scraped by the spider of scrapy, we are converting that raw data to items of scrapy, and then we will pass that item for fur
8 min read
Saving scraped items to JSON and CSV file using ScrapyIn this article, we will see how to use crawling with Scrapy, and, Exporting data to JSON and CSV format. We will scrape data from a webpage, using a Scrapy spider, and export the same to two different file formats. Here we will extract from the link  http://quotes.toscrape.com/tag/friendship/. This
6 min read
How to get Scrapy Output File in XML File?Prerequisite: Implementing Web Scraping in Python with Scrapy Scrapy provides a fast and efficient method to scrape a website. Web Scraping is used to extract the data from websites. In Scrapy we create a spider and then use it to crawl a website. In this article, we are going to extract population
2 min read
Scraping a JSON response with ScrapyScrapy is a popular Python library for web scraping, which provides an easy and efficient way to extract data from websites for a variety of tasks including data mining and information processing. In addition to being a general-purpose web crawler, Scrapy may also be used to retrieve data via APIs.
2 min read
Logging in ScrapyScrapy is a fast high-level web crawling and scraping framework written in Python used to crawl websites and extract structured data from their pages. It can be used for many purposes, from data mining to monitoring and automated testing. As developers, we spend most of our time debugging than writi
3 min read
Appliaction And Projects
How to use Scrapy to parse PDF pages online?Prerequisite: Scrapy, PyPDF2, URLLIB In this article, we will be using Scrapy to parse any online PDF without downloading it onto the system. To do that we have to use the PDF parser or editor library of Python know as PyPDF2. PyPDF2 is a pdf parsing library of python, which provides various method
3 min read
How to download Files with Scrapy ?Scrapy is a fast high-level web crawling and web scraping framework used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing. In this tutorial, we will be exploring how to download files usi
8 min read
Automated Website Scraping using ScrapyScrapy is a Python framework for web scraping on a large scale. It provides with the tools we need to extract data from websites efficiently, processes it as we see fit, and store it in the structure and format we prefer. Zyte (formerly Scrapinghub), a web scraping development and services company,
5 min read
Writing Scrapy Python Output to JSON fileIn this article, we are going to see how to write scrapy output into a JSON file in Python. Using  scrapy command-line shell This is the easiest way to save data to JSON is by using the following command: scrapy crawl <spiderName> -O <fileName>.json This will generate a file with a provi
2 min read
Pagination using Scrapy - Web Scraping with PythonPagination using Scrapy. Web scraping is a technique to fetch information from websites. Scrapy is used as a Python framework for web scraping. Getting data from a normal website is easier, and can be just achieved by just pulling the HTML of the website and fetching data by filtering tags. But what
3 min read
Email Id Extractor Project from sites in Scrapy PythonScrapy is open-source web-crawling framework written in Python used for web scraping, it can also be used to extract data for general-purpose. First all sub pages links are taken from the main page and then email id are scraped from these sub pages using regular expression. This article shows the e
8 min read
Scraping Javascript Enabled Websites using Scrapy-SeleniumScrapy-selenium is a middleware that is used in web scraping. scrapy do not support scraping modern sites that uses javascript frameworks and this is the reason that this middleware is used with scrapy to scrape those modern sites.Scrapy-selenium provide the functionalities of selenium that help in
4 min read
How to use Scrapy Items?In this article, we will scrape Quotes data using scrapy items, from the webpage https://quotes.toscrape.com/tag/reading/. The main objective of scraping, is to prepare structured data, from unstructured resources. Scrapy Items are wrappers around, the dictionary data structures. Code can be written
9 min read
How To Follow Links With Python Scrapy ?In this article, we will use Scrapy, for scraping data, presenting on linked webpages, and, collecting the same. We will scrape data from the website 'https://quotes.toscrape.com/'. Creating a Scrapy Project Scrapy comes with an efficient command-line tool, also called the 'Scrapy tool'. Commands ar
9 min read
Difference between BeautifulSoup and Scrapy crawlerWeb scraping is a technique to fetch data from websites. While surfing on the web, many websites donât allow the user to save data for personal use. One way is to manually copy-paste the data, which both tedious and time-consuming. Web Scraping is the automation of the data extraction process from w
3 min read
Python - How to create an ARP Spoofer using Scapy?ARP spoofing is a malicious attack in which the hacker sends falsified ARP in a network. Every node in a connected network has an ARP table through which we identify the IP address and the MAC address of the connected devices. What aim to send an ARP broadcast to find our desired IP which needs to b
6 min read