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Scrapy masterclass: Python web scraping and data pipelines

سرفصل های دوره

Work on 7 real-world web-scraping projects using Scrapy, Splash, and Selenium. Build data pipelines locally and on AWS


1. Introduction
  • 1.1 Resources.html
  • 1. Introduction
  • 2. Scrapy installation.html

  • 2. Xpath first steps
  • 1.1 xpath_node_types.zip
  • 1. Xpath 101 node types
  • 2.1 XPath 102 Cheat Sheet.pdf
  • 2. Xpath 102 basic syntax
  • 3.1 XPath 103 Cheat Sheet Axes (node relations).pdf
  • 3. XPath 103 Axes (Node Relations)
  • 4. Revisiting our real-estate web scraping example

  • 3. Hello Scrapy
  • 1. What is a web bot Is it ethical
  • 2. The Scrapy Shell
  • 3.1 Create your own Scrapy project.html
  • 3. Creating your first Scrapy project
  • 4.1 Create your own Scrapy spider.html
  • 4. Creating your first Scrapy spider
  • 5.1 Combining XPath queries.html
  • 5. Handling combined queries using the getall() method
  • 6.1 Item Loaders.html
  • 6.2 The Scrapy project.html
  • 6. Data cleansing using Item Loaders
  • 7.1 Crawl Spiders.html
  • 7. Pagination and link-following using Crawl Spiders

  • 4. Scrapy web-scraping scenarios
  • 1.1 Login bot.html
  • 1. Login to websites
  • 2. Changing the user-agent
  • 3.1 Handling AJAX requests.html
  • 3. Handling AJAX requests 1
  • 4.1 Handling AJAX requests.html
  • 4. Handling AJAX requests 2
  • 5.1 Handling AJAX requests.html
  • 5. Handling AJAX requests 3
  • 6. Caching responses
  • 7. Image harvesting
  • 8.1 Images storage to S3 and FTP.html
  • 8. Scraped images storage in FTP and AWS S3

  • 5. Data transformation using Scrapy Pipelines
  • 1.1 Classifieds Ads project.html
  • 1. Introduction and sample project (classifieds ads scraping)
  • 2.1 Remove duplicates pipeline.html
  • 2.2 Removing duplicates pipeline.html
  • 2. Removing ads with duplicate titles
  • 3.1 Dropping Ads with no phones pipeline.html
  • 3. Removing ads with no phone numbers

  • 6. Data loading (storage) using Scrapy's pipelines
  • 1.1 MongoDB pipeline.html
  • 1. Storing scraped data in MongoDB
  • 2.1 MySQL Pipeline.html
  • 2. Storing scraped data in MySQL
  • 3.1 Using Vault to store sensitive data for Scrapy.html
  • 3. Using Vault to sore sensitive Scrapy settings
  • 4.1 S3 Pipeline.html
  • 4. Storing data to AWS S3 bucket
  • 5. Using Amazon Glue and Athena to query the data from S3 (extra lecture)

  • 7. Scrapy Middleware (or how to avoid getting banned)
  • 1.1 Phone Models Project.html
  • 1. Phone-models project and spider rate-limiting
  • 2.1 Rotating user-agents project.html
  • 2. Rotating user-agents middleware
  • 3.1 Rotating proxies.html
  • 3. Rotating proxies middleware

  • 8. Handling JavaScript websites using Splash
  • 1. What is Splash
  • 2. Introduction to Docker (optional)
  • 3. Test-driving Splash
  • 4.1 Wikipedia with Splash.html
  • 4. Integrating Scrapy with Splash
  • 5.1 Handling scrolling pages with Splash.html
  • 5. Dealing with infinitely-scrolling pages using Splash

  • 9. Browser automation using Selenium and Scrapy
  • 1. What is Selenium
  • 2.1 firefox-how-to.pdf
  • 2.2 Revisiting infinitely-scrolling pages (medium.com).html
  • 2. Revisiting infinitely-scrolling pages (medium.com)
  • 3.1 Clicking buttons (Yahoo Finance).html
  • 3. Clicking buttons (Yahoo Finance)
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    حجم: 2822 مگابایت
    مدت زمان: 343 دقیقه
    تاریخ انتشار: 29 دی 1401
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