Scrapy Unleashed- Master Python Web Scraping Data Pipeline

Scrapy Unleashed: Master Python Web Scraping & Data Pipeline, available at $54.99, has an average rating of 4.65, with 54 lectures, based on 40 reviews, and has 384 subscribers.

You will learn about Master the power of Scrapy, Pythons premier web scraping tool, to build your own data extraction and processing pipelines Dive deep into the core of web data handling, gaining the ability to gather, analyze, and utilize data from across the internet Acquire practical, hands-on experience with real-world projects that boost your portfolio and display your proficiency in Scrapy and Python Gain invaluable insights into the dynamic world of web scraping, preparing you for diverse careers in data science, web development, and digital marketing This course is ideal for individuals who are Aspiring Data Scientists: Those who are looking to break into data science and want to add web scraping to their skillset. This course would be a perfect opportunity to learn how to gather and process data from the web or Web Developers: Developers who are interested in learning more about data extraction and manipulation. They could use these skills to enrich their web applications with real-time data from various sources. or Digital Marketers: Individuals in digital marketing who want to gather data from competitors websites or track customer sentiment online would greatly benefit from understanding web scraping. or Software Engineers: Engineers looking to diversify their skill set would also benefit. The ability to programmatically extract data from websites is increasingly becoming a valuable tool in various fields such as market research, machine learning, etc. or Technology Enthusiasts: Anyone with an interest in Python, data science, or web development, looking to expand their skills in a practical, hands-on way. It is particularly useful for Aspiring Data Scientists: Those who are looking to break into data science and want to add web scraping to their skillset. This course would be a perfect opportunity to learn how to gather and process data from the web or Web Developers: Developers who are interested in learning more about data extraction and manipulation. They could use these skills to enrich their web applications with real-time data from various sources. or Digital Marketers: Individuals in digital marketing who want to gather data from competitors websites or track customer sentiment online would greatly benefit from understanding web scraping. or Software Engineers: Engineers looking to diversify their skill set would also benefit. The ability to programmatically extract data from websites is increasingly becoming a valuable tool in various fields such as market research, machine learning, etc. or Technology Enthusiasts: Anyone with an interest in Python, data science, or web development, looking to expand their skills in a practical, hands-on way.

Enroll now: Scrapy Unleashed: Master Python Web Scraping & Data Pipeline

Summary

Title: Scrapy Unleashed: Master Python Web Scraping & Data Pipeline

Price: $54.99

Average Rating: 4.65

Number of Lectures: 54

Number of Published Lectures: 54

Number of Curriculum Items: 54

Number of Published Curriculum Objects: 54

Original Price: 19.99

Quality Status: approved

Status: Live

What You Will Learn

Master the power of Scrapy, Pythons premier web scraping tool, to build your own data extraction and processing pipelines

Dive deep into the core of web data handling, gaining the ability to gather, analyze, and utilize data from across the internet

Acquire practical, hands-on experience with real-world projects that boost your portfolio and display your proficiency in Scrapy and Python

Gain invaluable insights into the dynamic world of web scraping, preparing you for diverse careers in data science, web development, and digital marketing

Who Should Attend

Aspiring Data Scientists: Those who are looking to break into data science and want to add web scraping to their skillset. This course would be a perfect opportunity to learn how to gather and process data from the web

Web Developers: Developers who are interested in learning more about data extraction and manipulation. They could use these skills to enrich their web applications with real-time data from various sources.

Digital Marketers: Individuals in digital marketing who want to gather data from competitors websites or track customer sentiment online would greatly benefit from understanding web scraping.

Software Engineers: Engineers looking to diversify their skill set would also benefit. The ability to programmatically extract data from websites is increasingly becoming a valuable tool in various fields such as market research, machine learning, etc.

Technology Enthusiasts: Anyone with an interest in Python, data science, or web development, looking to expand their skills in a practical, hands-on way.

Target Audiences

Aspiring Data Scientists: Those who are looking to break into data science and want to add web scraping to their skillset. This course would be a perfect opportunity to learn how to gather and process data from the web

Web Developers: Developers who are interested in learning more about data extraction and manipulation. They could use these skills to enrich their web applications with real-time data from various sources.

Digital Marketers: Individuals in digital marketing who want to gather data from competitors websites or track customer sentiment online would greatly benefit from understanding web scraping.

Software Engineers: Engineers looking to diversify their skill set would also benefit. The ability to programmatically extract data from websites is increasingly becoming a valuable tool in various fields such as market research, machine learning, etc.

Technology Enthusiasts: Anyone with an interest in Python, data science, or web development, looking to expand their skills in a practical, hands-on way.

Welcome to “Scrapy Unleashed: Master Python Web Scraping & Data Pipelines,” a comprehensive and practical course designed to provide you with the knowledge, skills, and techniques to become proficient in web scraping and data pipeline creation using Scrapy and Python.

Are you ready to unlock the power of data and transform your understanding of the digital world? If so, you’re in the right place. Whether a beginner or a seasoned developer looking to expand your skills, this course will empower you to take your data-handling abilities to new heights.

Scrapy is a versatile Python framework for web scraping. It’s a powerful tool that enables you to extract, process, and store web data efficiently. If you’re looking to dive into the world of big data, web crawling, or data science, then Scrapy is a must-have skill in your toolkit.

Why choose this course?

1. In-Depth Coverage: This course covers Scrapy from the ground up. You’ll start with the basics and gradually delve into more complex topics. By the end of the course, you’ll have a thorough understanding of Scrapy and how to use it effectively to scrape and process web data.

2. Hands-On Learning: You’ll learn by doing, with numerous practical examples and real-world projects to add to your portfolio. You’ll build your web scrapers, create data pipelines, and learn how to handle standard web scraping challenges.

3. ExpertGuidance: Your instructor is a seasoned developer with years of experience using Scrapy professionally. You’ll benefit from their knowledge, insights, and practical tips.

4. Ongoing Support: We’re committed to providing you with the best learning experience possible. You’ll have access to regular course updates, Q&A sessions, and a supportive community of learners.

5. Applicable Skills: You’ll learn high-demand skills in many fields, including data science, web development, and digital marketing.

Course Content and Structure

The course is divided into several key sections, each focusing on a different aspect of Scrapy. Here’s what you can expect:

Introduction: We’ll introduce you to Scrapy and its components. You’ll understand web scraping, its usefulness, and where Scrapy fits the picture.

Getting Started with Scrapy: In this section, you’ll install Scrapy and learn the basics of creating a Scrapy project. You’ll also build your first simple web scraper

Data Extraction: Here, you’ll learn how to extract data from websites. We’ll cover topics like selectors, XPath, and CSS, and you’ll get plenty of practice with hands-on exercises

Data Storage: You’ll learn about Scrapy’s built-in capabilities for storing scraped data. We’ll cover different types of data storage, and you’ll build your data pipelines.

Advanced Scrapy Concepts: In the later sections of the course, you’ll delve into more advanced topics, such as handling dynamic websites, dealing with logins, and using Scrapy with Selenium.

Projects: Throughout the course, you’ll work on several projects that allow you to apply what you’ve learned. These projects will also provide you with valuable material for your portfolio.

Who Should Take This Course?

This course suits anyone interested in web scraping, data science, or big data. It’s ideal for:

Aspiring data scientists looking to add web scraping to their skillset.

Web developers interested in learning about data extraction and manipulation

Digital marketers who want to gather web data for insights and analysis

Students or professionals interested in learning about data collection and handling

Don’t let the digital world pass you by. Harness the power of data and start your journey into the exciting world of web scraping with Scrapy. Enroll in “Scrapy Unleashed: Master Python Web Scraping & Data Pipelines” today and unlock your data potential!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: How to get the maximum value from this class? (please, dont skip)

Lecture 3: Introduction

Lecture 4: Scrapy installation

Chapter 2: Xpath first steps

Lecture 1: Section introduction

Lecture 2: Xpath 101: node types

Lecture 3: Xpath 102: basic syntax

Lecture 4: XPath 103: Axes (Node Relations)

Lecture 5: Revisiting our real-estate web scraping example

Chapter 3: Hello Scrapy

Lecture 1: Section Introduction

Lecture 2: What is a web bot? Is it ethical?

Lecture 3: The Scrapy Shell

Lecture 4: Creating your first Scrapy project

Lecture 5: Creating your first Scrapy spider

Lecture 6: Handling combined queries using the getall() method

Lecture 7: Data cleansing using Item Loaders

Lecture 8: Pagination and link-following using Crawl Spiders

Chapter 4: Scrapy web-scraping scenarios

Lecture 1: Section Introduction

Lecture 2: Login to websites

Lecture 3: Changing the user-agent

Lecture 4: Handling AJAX requests 1

Lecture 5: Handling AJAX requests 2

Lecture 6: Handling AJAX requests 3

Lecture 7: Caching responses

Lecture 8: Image harvesting

Lecture 9: Scraped images storage in FTP and AWS S3

Chapter 5: Data transformation using Scrapy Pipelines

Lecture 1: Section Introduction

Lecture 2: Please read before you continue (IMPORTANT)

Lecture 3: Introduction and sample project (classifieds ads scraping)

Lecture 4: Removing ads with duplicate titles

Lecture 5: Removing ads with no phone numbers

Chapter 6: Data loading (storage) using Scrapys pipelines

Lecture 1: Section Introduction

Lecture 2: Storing scraped data in MongoDB

Lecture 3: Storing scraped data in MySQL

Lecture 4: Using Vault to sore sensitive Scrapy settings

Lecture 5: Storing data to AWS S3 bucket

Lecture 6: Using Amazon Glue and Athena to query the data from S3 (extra lecture)

Chapter 7: Scrapy Middleware (or how to avoid getting banned)

Lecture 1: Section Introduction

Lecture 2: Phone-models project and spider rate-limiting

Lecture 3: Rotating user-agents middleware

Lecture 4: Rotating proxies middleware

Chapter 8: Handling JavaScript websites using Splash

Lecture 1: Section Introduction

Lecture 2: What is Splash?

Lecture 3: Introduction to Docker (optional)

Lecture 4: Test-driving Splash

Lecture 5: Integrating Scrapy with Splash

Lecture 6: Dealing with infinitely-scrolling pages using Splash

Chapter 9: Browser automation using Selenium and Scrapy

Lecture 1: Section Introduction

Lecture 2: What is Selenium?

Lecture 3: Revisiting infinitely-scrolling pages (medium.com)

Lecture 4: Clicking buttons (Yahoo Finance)

Chapter 10: Scrapyd deployments

Lecture 1: Introduction to Scrapyd and sample project

Lecture 2: Scrapyd deployment on the local machine

Lecture 3: Scrapyd deployment on AWS

Instructors

Ahmed Elfakharany
Lead DevOps engineer | Cloud-Native tech expert | Writer

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 2 votes

4 stars: 11 votes

5 stars: 27 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!