title
Introduction to Web Scraping with Python and Beautiful Soup
description
Web scraping is a very powerful tool to learn for any data professional. With web scraping the entire internet becomes your database. In this tutorial, we show you how to parse a web page into a data file (CSV) using a Python package called BeautifulSoup.
In this example, we web scrape graphics cards from NewEgg.com.
Find the updated version of this tutorial here: https://www.youtube.com/watch?v=rlR0f4zZKvc&list=PL8eNk_zTBST-SaABhXwBFbKvvA0tlRSRV&index=3
Python Code:
https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Web%20Scraping%20with%20Python%20and%20BeautifulSoup
Sublime:
https://www.sublimetext.com/3
Anaconda:
https://www.anaconda.com/distribution/#download-section
JavaScript beautifier:
https://beautifier.io/
If you are not seeing the command line, follow this tutorial:
https://www.tenforums.com/tutorials/72024-open-command-window-here-add-windows-10-a.html
Table of Contents:
0:00 - Introduction
1:28 - Setting up Anaconda
3:00 - Installing Beautiful Soup
3:43 - Setting up urllib
6:07 - Retrieving the Web Page
10:47 - Evaluating Web Page
11:27 - Converting Listings into Line Items
16:13 - Using jsbeautiful
16:31 - Reading Raw HTML for Items to Scrape
18:34 - Building the Scraper
22:11 - Using the "findAll" Function
27:26 - Testing the Scraper
29:07 - Creating the .csv File
32:18 - End Result
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#webscraping #python #beautifulsoup
detail
{'title': 'Introduction to Web Scraping with Python and Beautiful Soup', 'heatmap': [{'end': 666.872, 'start': 643.098, 'weight': 1}, {'end': 952.222, 'start': 864.931, 'weight': 0.761}, {'end': 985.973, 'start': 961.491, 'weight': 0.7}, {'end': 1168.249, 'start': 1145.285, 'weight': 0.823}], 'summary': 'Provides an introduction to web scraping with python and beautiful soup, covering topics such as the importance of web scraping for data gathering, python and anaconda setup, data extraction using beautiful soup and urllib, html inspection and product information scraping, and web scraping for product information. it also demonstrates executing a web scraping tool in python and writing extracted data to a csv file.', 'chapters': [{'end': 85.988, 'segs': [{'end': 85.988, 'src': 'embed', 'start': 46.328, 'weight': 0, 'content': [{'end': 49.669, 'text': 'So a lot of people ask me how do I get all of my data?', 'start': 46.328, 'duration': 3.341}, {'end': 54.37, 'text': 'And actually, in the absence of APIs, if you learn web scraping,', 'start': 50.189, 'duration': 4.181}, {'end': 61.435, 'text': 'it is actually a very important tool for a data scientist and a data engineer to know, because the entire internet becomes your database right?', 'start': 54.85, 'duration': 6.585}, {'end': 63.556, 'text': 'So not just I can web scrape any storefront.', 'start': 61.455, 'duration': 2.101}, {'end': 67.238, 'text': "Nordstrom, Macy's study, the sales web scrape reviews.", 'start': 63.556, 'duration': 3.682}, {'end': 70.601, 'text': 'I can web scrape baseball stats, baseball players in real time.', 'start': 67.659, 'duration': 2.942}, {'end': 73.603, 'text': 'Wikipedia is also a good place to web scrape.', 'start': 71.281, 'duration': 2.322}, {'end': 79.106, 'text': 'For example, you can see that this frame over here of of this harry potter character, ron weasley.', 'start': 73.643, 'duration': 5.463}, {'end': 80.406, 'text': "it's very standardized.", 'start': 79.106, 'duration': 1.3}, {'end': 85.988, 'text': 'i could write a web scrape script and then loop over every single harry potter character very quickly and create a data set.', 'start': 80.406, 'duration': 5.582}], 'summary': 'Web scraping is crucial for data scientists and engineers to access diverse data sources; can scrape storefronts, baseball stats, and wikipedia.', 'duration': 39.66, 'max_score': 46.328, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI46328.jpg'}], 'start': 6.638, 'title': 'Web scraping with python', 'summary': 'Discusses the importance of web scraping for data scientists and engineers, highlighting how it can be used to gather real-time data from various websites such as steam for video game deals and wikipedia for standardized information.', 'chapters': [{'end': 85.988, 'start': 6.638, 'title': 'Web scraping with python', 'summary': 'Discusses the importance of web scraping for data scientists and engineers, highlighting how it can be used to gather real-time data from various websites, such as steam for video game deals and wikipedia for standardized information.', 'duration': 79.35, 'highlights': ['Web scraping allows real-time data gathering from websites like Steam for video game deals and Wikipedia for standardized information. Web scraping provides access to real-time data from websites like Steam for video game deals and Wikipedia for standardized information, enabling quick and efficient data collection.', 'Importance of web scraping in the absence of APIs for data scientists and engineers. In the absence of APIs, web scraping becomes an important tool for data scientists and engineers, expanding the potential database to include the entire internet.', 'Demonstration of web scraping capabilities through examples like scraping baseball stats and player information in real time. The demonstration includes examples of web scraping baseball stats, real-time player information, and standardized data from websites like Steam and Wikipedia.']}], 'duration': 79.35, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI6638.jpg', 'highlights': ['Web scraping provides access to real-time data from websites like Steam for video game deals and Wikipedia for standardized information, enabling quick and efficient data collection.', 'In the absence of APIs, web scraping becomes an important tool for data scientists and engineers, expanding the potential database to include the entire internet.', 'The demonstration includes examples of web scraping baseball stats, real-time player information, and standardized data from websites like Steam and Wikipedia.']}, {'end': 354.912, 'segs': [{'end': 162.77, 'src': 'embed', 'start': 124.734, 'weight': 0, 'content': [{'end': 127.578, 'text': "It's like 500 megabytes, okay? So be warned of that.", 'start': 124.734, 'duration': 2.844}, {'end': 132.904, 'text': "All right, so what I'm gonna do is I'm gonna go ahead and open up my command line.", 'start': 128.079, 'duration': 4.825}, {'end': 136.729, 'text': "And for those of you who don't know, if you go to a folder, any folder,", 'start': 132.985, 'duration': 3.744}, {'end': 142.593, 'text': 'and then just hold down the shift button and right click and say open command window here, this opens up the command line for you.', 'start': 136.729, 'duration': 5.864}, {'end': 145.576, 'text': 'okay, and this is where you can work with python.', 'start': 142.593, 'duration': 2.983}, {'end': 152.401, 'text': "so if you type in python right here, right, and if you you've installed either python or anaconda, well, this should show up right.", 'start': 145.576, 'duration': 6.825}, {'end': 158.986, 'text': "so notice, i'm using python 3.5 with anaconda, and if i just do a very quick 2 plus 2, it should equal 4..", 'start': 152.401, 'duration': 6.585}, {'end': 162.77, 'text': "that's how i know i'm inside of my console all right.", 'start': 158.986, 'duration': 3.784}], 'summary': 'Using python 3.5 with anaconda, the speaker demonstrates opening command line and performing a quick calculation.', 'duration': 38.036, 'max_score': 124.734, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI124734.jpg'}, {'end': 218.882, 'src': 'embed', 'start': 187.839, 'weight': 2, 'content': [{'end': 189.22, 'text': "It's a very powerful package.", 'start': 187.839, 'duration': 1.381}, {'end': 194.545, 'text': 'I encourage those of you who want to go further beyond this introduction to go ahead and learn this package.', 'start': 189.28, 'duration': 5.265}, {'end': 199.85, 'text': 'So all you got to do is do a pip install bs4.', 'start': 194.925, 'duration': 4.925}, {'end': 204.025, 'text': 'OK, bs4 stands for Beautiful Soup 4.', 'start': 200.05, 'duration': 3.975}, {'end': 204.486, 'text': 'So here we are.', 'start': 204.025, 'duration': 0.461}, {'end': 206.29, 'text': 'So Beautiful Soup has been installed.', 'start': 204.546, 'duration': 1.744}, {'end': 207.914, 'text': "And how do I know if it's been installed?", 'start': 206.37, 'duration': 1.544}, {'end': 216.261, 'text': 'Well, if I type in Python, okay, and I type in import BS4 or BS4, right?', 'start': 208.155, 'duration': 8.106}, {'end': 218.882, 'text': 'It should just not error, okay?, Awesome.', 'start': 216.761, 'duration': 2.121}], 'summary': 'Encourages further learning of beautiful soup 4 package, easily installable via pip, verified with successful import in python.', 'duration': 31.043, 'max_score': 187.839, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI187839.jpg'}, {'end': 264.764, 'src': 'embed', 'start': 237.333, 'weight': 3, 'content': [{'end': 242.037, 'text': 'And how do you do that in Python is actually you would use a package called URL live.', 'start': 237.333, 'duration': 4.704}, {'end': 245.079, 'text': 'And inside of URL live, there is a module called request.', 'start': 242.417, 'duration': 2.662}, {'end': 248.221, 'text': 'And inside of that module is a function called URL open.', 'start': 245.359, 'duration': 2.862}, {'end': 251.364, 'text': "Okay I know that's a lot to take in, but settle down.", 'start': 248.541, 'duration': 2.823}, {'end': 252.965, 'text': "We're going to do it step by step.", 'start': 251.384, 'duration': 1.581}, {'end': 256.788, 'text': "So I'm going to do a really quick import all in one line kind of step.", 'start': 252.985, 'duration': 3.803}, {'end': 257.327, 'text': 'All right.', 'start': 257.148, 'duration': 0.179}, {'end': 260.731, 'text': 'So I can do from URL live.', 'start': 257.348, 'duration': 3.383}, {'end': 264.764, 'text': 'dot request.', 'start': 263.322, 'duration': 1.442}], 'summary': 'In python, use urllib package with request module and url open function for web requests.', 'duration': 27.431, 'max_score': 237.333, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI237333.jpg'}, {'end': 362.919, 'src': 'embed', 'start': 330.805, 'weight': 4, 'content': [{'end': 334.348, 'text': "And I'm going to do Control-Shift-P to open up the command console.", 'start': 330.805, 'duration': 3.543}, {'end': 342.3, 'text': "command console and then I'm gonna say set syntax is equal to Python K Beautiful.", 'start': 334.628, 'duration': 7.672}, {'end': 344.062, 'text': 'So now I can do the same commands in here.', 'start': 342.46, 'duration': 1.602}, {'end': 348.726, 'text': 'So if I just select this into the command line, hit the enter button, that will copy it.', 'start': 344.102, 'duration': 4.624}, {'end': 351.329, 'text': 'So that way I can paste it into my script here.', 'start': 349.187, 'duration': 2.142}, {'end': 353.23, 'text': 'Okay So there I have it.', 'start': 351.349, 'duration': 1.881}, {'end': 354.912, 'text': 'The first two lines of this.', 'start': 353.27, 'duration': 1.642}, {'end': 355.893, 'text': "So now I'm ready to go.", 'start': 354.952, 'duration': 0.941}, {'end': 362.919, 'text': 'So beautiful soup is going to parse the HTML text and then URL live is actually going to grab the page itself.', 'start': 356.413, 'duration': 6.506}], 'summary': 'Using command console to set python syntax and execute commands for beautiful soup to parse html and grab page with urllib.', 'duration': 32.114, 'max_score': 330.805, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI330805.jpg'}], 'start': 85.988, 'title': 'Python setup and web scraping', 'summary': 'Covers setting up python and anaconda on windows, including the importance of anaconda for windows users, the process of installing beautiful soup package for web scraping, and emphasizing modularized imports and console usage.', 'chapters': [{'end': 162.77, 'start': 85.988, 'title': 'Setting up python and anaconda', 'summary': 'Explains the process of installing python and anaconda on windows, along with using sublime text as a text editor, highlighting the importance of anaconda for windows users and the size of the anaconda file, and demonstrating the use of the command line to work with python.', 'duration': 76.782, 'highlights': ['Anaconda is recommended for Windows users over Python, with the Anaconda file being approximately 500 megabytes in size.', 'The process of opening the command line and using Python 3.5 with Anaconda is demonstrated, showcasing a simple calculation to verify the setup.', 'Sublime Text is recommended as a text editor for working with Python.']}, {'end': 354.912, 'start': 162.77, 'title': 'Python web scraping with beautiful soup', 'summary': 'Covers installing the beautiful soup package, verifying its installation, and setting up a web client using urllib in python, emphasizing the importance of modularized imports and console usage.', 'duration': 192.142, 'highlights': ["The installation of Beautiful Soup package is demonstrated, with instructions for pip installation and verification through Python console. The package Beautiful Soup is installed using the command 'pip install bs4', and its successful installation is confirmed by importing 'BS4' in the Python console without any error.", "The process of setting up a web client using URLlib in Python is explained, emphasizing the modularized import of only necessary components and the naming of functions for ease of use. The usage of URLlib in Python for creating a web client is demonstrated, with emphasis on importing only the necessary 'request' module and naming the 'URLopen' function as 'urequest' for convenience.", 'The importance of modularized imports and console usage is highlighted, with a demonstration of copying commands from the console to a script for ease of use. The significance of modularized imports and console usage is emphasized, with a demonstration of copying commands from the console to a script for streamlined development and ease of use.']}], 'duration': 268.924, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI85988.jpg', 'highlights': ['Anaconda is recommended for Windows users over Python, with the Anaconda file being approximately 500 megabytes in size.', 'The process of opening the command line and using Python 3.5 with Anaconda is demonstrated, showcasing a simple calculation to verify the setup.', 'The installation of Beautiful Soup package is demonstrated, with instructions for pip installation and verification through Python console.', 'The process of setting up a web client using URLlib in Python is explained, emphasizing the modularized import of only necessary components and the naming of functions for ease of use.', 'The importance of modularized imports and console usage is highlighted, with a demonstration of copying commands from the console to a script for ease of use.']}, {'end': 930.993, 'segs': [{'end': 421.182, 'src': 'embed', 'start': 354.952, 'weight': 0, 'content': [{'end': 355.893, 'text': "So now I'm ready to go.", 'start': 354.952, 'duration': 0.941}, {'end': 362.919, 'text': 'So beautiful soup is going to parse the HTML text and then URL live is actually going to grab the page itself.', 'start': 356.413, 'duration': 6.506}, {'end': 365.061, 'text': 'But what do we want to web scrape? Okay.', 'start': 362.999, 'duration': 2.062}, {'end': 367.564, 'text': 'Well, I like graphics cards.', 'start': 365.462, 'duration': 2.102}, {'end': 371.692, 'text': "Okay, I'm gonna web scrape graphics cards off newegg.com.", 'start': 368.188, 'duration': 3.504}, {'end': 373.094, 'text': 'So some of you might know it.', 'start': 371.732, 'duration': 1.362}, {'end': 377.66, 'text': "it's basically Amazon, but for basically hardware of electronics, okay?", 'start': 373.094, 'duration': 4.566}, {'end': 379.842, 'text': "So I'm gonna type in, for example, graphics cards.", 'start': 377.68, 'duration': 2.162}, {'end': 384.368, 'text': 'So these are a bunch of graphics cards that have shown up in my search bar.', 'start': 380.383, 'duration': 3.985}, {'end': 387.849, 'text': 'And it would be nice to basically tabularize and turn this into a data set.', 'start': 384.608, 'duration': 3.241}, {'end': 395.812, 'text': 'And notice that if a new data set, if a new graphics card is introduced tomorrow or if ratings change tomorrow or prices change tomorrow,', 'start': 388.109, 'duration': 7.703}, {'end': 400.093, 'text': "I run the script again and it updates it into basically whatever it is that I'm going to load it into.", 'start': 395.812, 'duration': 4.281}, {'end': 403.214, 'text': 'I can load it into a database, a CSV file, an Excel file.', 'start': 400.133, 'duration': 3.081}, {'end': 403.795, 'text': "It doesn't matter.", 'start': 403.234, 'duration': 0.561}, {'end': 406.596, 'text': "So in this case, I'm going to grab this URL.", 'start': 404.715, 'duration': 1.881}, {'end': 413.117, 'text': "That's all I'm going to do is so basically I'm going to copy this URL and I'll paste it into my script.", 'start': 408.126, 'duration': 4.991}, {'end': 416.104, 'text': 'So in this case, I can do my URL.', 'start': 413.579, 'duration': 2.525}, {'end': 421.182, 'text': 'is equal to all right.', 'start': 419.361, 'duration': 1.821}], 'summary': 'Web scraping to extract and update graphics cards data from newegg.com', 'duration': 66.23, 'max_score': 354.952, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI354952.jpg'}, {'end': 583.17, 'src': 'embed', 'start': 554.437, 'weight': 1, 'content': [{'end': 560.02, 'text': 'okay, so in my url is that and new client is and just add some documentation.', 'start': 554.437, 'duration': 5.583}, {'end': 572.503, 'text': 'opening up connection, grabbing the, grabbing the page, okay, and then what this does is it offloads the content into a variable.', 'start': 560.02, 'duration': 12.483}, {'end': 580.229, 'text': 'okay, and then what this is going to do is going to close the client, Okay.', 'start': 572.503, 'duration': 7.726}, {'end': 583.17, 'text': 'Then the next thing I need to do is I need to parse the, the HTML.', 'start': 580.529, 'duration': 2.641}], 'summary': 'Code opens connection, grabs page, offloads content, closes client, and parses html.', 'duration': 28.733, 'max_score': 554.437, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI554437.jpg'}, {'end': 669.892, 'src': 'heatmap', 'start': 643.098, 'weight': 1, 'content': [{'end': 647.362, 'text': 'so in this case, this does my html parsing?', 'start': 643.098, 'duration': 4.264}, {'end': 654.348, 'text': 'okay. so now, if i go to the page soup and i just try to look at the h1 tag page, oh sorry, page soup.', 'start': 647.362, 'duration': 6.986}, {'end': 656.989, 'text': 'H1, I should see the header of the page.', 'start': 655.108, 'duration': 1.881}, {'end': 661.57, 'text': 'So this just say video cards and video devices Okay, so I should see that somewhere.', 'start': 657.009, 'duration': 4.561}, {'end': 666.872, 'text': 'So notice that a grab this header right here Okay, and just think and just for a good measure.', 'start': 661.79, 'duration': 5.082}, {'end': 668.812, 'text': "Let's just see what else is in the base.", 'start': 666.952, 'duration': 1.86}, {'end': 669.892, 'text': 'So beautiful soup dot.', 'start': 668.812, 'duration': 1.08}], 'summary': 'Parsing html using beautiful soup to extract header information.', 'duration': 26.794, 'max_score': 643.098, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI643098.jpg'}, {'end': 835.136, 'src': 'embed', 'start': 811.041, 'weight': 5, 'content': [{'end': 818.687, 'text': "so basically for i would need to set a loop i would write my script first on how to parse one graphics card and then, once i'm done with that,", 'start': 811.041, 'duration': 7.646}, {'end': 826.853, 'text': 'i can loop through all of the class containers and go ahead and parse out every single graphics card into my my data file.', 'start': 818.687, 'duration': 8.166}, {'end': 828.674, 'text': 'So in this class I need this class.', 'start': 827.173, 'duration': 1.501}, {'end': 830.534, 'text': 'I want to grab everything that has this class.', 'start': 828.694, 'duration': 1.84}, {'end': 835.136, 'text': 'So I want to go ahead and do that right now.', 'start': 831.435, 'duration': 3.701}], 'summary': 'Set a loop to parse graphics cards from class containers and generate data file.', 'duration': 24.095, 'max_score': 811.041, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI811041.jpg'}], 'start': 354.952, 'title': 'Web scraping for data extraction', 'summary': 'Covers using beautiful soup and urllib to scrape graphics cards data from newegg.com, including parsing html text, grabbing the page, tabularizing the data, and handling changes in dataset, ratings, and prices, as well as extracting data from a webpage, opening a connection, and traversing dom elements to load it into various file formats.', 'chapters': [{'end': 395.812, 'start': 354.952, 'title': 'Web scraping for graphics cards', 'summary': 'Discusses using beautiful soup and urllib to scrape graphics cards data from newegg.com, highlighting the process of parsing html text and grabbing the page, aiming to tabularize the data and handle potential changes in the dataset, ratings, and prices.', 'duration': 40.86, 'highlights': ['Using Beautiful Soup and URLlib to scrape graphics cards data from newegg.com', 'Discussing the process of parsing HTML text and grabbing the page', 'Aiming to tabularize the data and handle potential changes in the dataset, ratings, and prices']}, {'end': 930.993, 'start': 395.812, 'title': 'Web scraping for data extraction', 'summary': 'Covers the process of web scraping, including parsing html, traversing dom elements, and extracting data from a webpage, such as loading it into various file formats. the process involves opening a connection, grabbing the webpage, parsing html, and traversing the dom elements to extract data, including finding and looping through class containers to parse graphics cards from a webpage.', 'duration': 535.181, 'highlights': ['The process involves opening a connection, grabbing the webpage, parsing HTML, and traversing the DOM elements to extract data. The speaker explains the steps involved in web scraping, including opening a connection, grabbing the webpage, parsing HTML, and traversing the DOM elements, emphasizing the process of extracting data.', 'Loading data into various file formats such as a database, CSV file, or Excel file is possible. The speaker mentions the ability to load extracted data into various file formats, including a database, CSV file, or Excel file, providing flexibility in handling the extracted information.', 'Finding and looping through class containers to parse graphics cards from a webpage. The speaker demonstrates the process of finding and looping through class containers to parse graphics cards from a webpage, indicating the approach for extracting specific data from the webpage.']}], 'duration': 576.041, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI354952.jpg', 'highlights': ['Using Beautiful Soup and URLlib to scrape graphics cards data from newegg.com', 'Discussing the process of parsing HTML text and grabbing the page', 'The process involves opening a connection, grabbing the webpage, parsing HTML, and traversing the DOM elements to extract data', 'Aiming to tabularize the data and handle potential changes in the dataset, ratings, and prices', 'Loading data into various file formats such as a database, CSV file, or Excel file is possible', 'Finding and looping through class containers to parse graphics cards from a webpage']}, {'end': 1297.755, 'segs': [{'end': 990.116, 'src': 'heatmap', 'start': 957.267, 'weight': 2, 'content': [{'end': 961.471, 'text': 'And from my Sublime, I can go ahead and figure out what is actually in there.', 'start': 957.267, 'duration': 4.204}, {'end': 966.296, 'text': "So I'm going to go control new and Sublime, paste it in, but notice it's not very pretty.", 'start': 961.491, 'duration': 4.805}, {'end': 967.437, 'text': "So we'll deal with that in a minute.", 'start': 966.456, 'duration': 0.981}, {'end': 970.24, 'text': "So I'm going to set my syntax to become HTML.", 'start': 967.457, 'duration': 2.783}, {'end': 974.023, 'text': "Okay, it's in HTML now, but it's not pretty.", 'start': 971.161, 'duration': 2.862}, {'end': 977.646, 'text': "I'm going to use an external service called JS Beautifier.", 'start': 974.043, 'duration': 3.603}, {'end': 981.729, 'text': "So it's going to basically do all the spacing when there needs to be spacing.", 'start': 977.706, 'duration': 4.023}, {'end': 985.973, 'text': 'So JS Beautifier, you basically just copy an ugly code and it turns it pretty.', 'start': 981.91, 'duration': 4.063}, {'end': 990.116, 'text': 'See that? Everything is all now nicely spaced and delimited.', 'start': 986.093, 'duration': 4.023}], 'summary': 'Using js beautifier, the speaker formats ugly html code, making it nicely spaced and delimited.', 'duration': 32.849, 'max_score': 957.267, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI957267.jpg'}, {'end': 1114.231, 'src': 'embed', 'start': 1054.366, 'weight': 0, 'content': [{'end': 1058.207, 'text': "so if i wrote something to parse reviews, uh, i'm gonna need to write an.", 'start': 1054.366, 'duration': 3.841}, {'end': 1063.148, 'text': "if i'll statement or i'm gonna do, i'll have to do a try and catch with an index out of error.", 'start': 1058.207, 'duration': 4.941}, {'end': 1067.009, 'text': "uh, catch okay, and then notice that it doesn't even have what this number is.", 'start': 1063.148, 'duration': 3.861}, {'end': 1068.849, 'text': "i think it's the number of reviews here.", 'start': 1067.009, 'duration': 1.84}, {'end': 1072.31, 'text': "so i'll let you guys go ahead and handle the the scraping of that.", 'start': 1068.849, 'duration': 3.461}, {'end': 1074.71, 'text': "but i'm gonna scrape things that are present in all of them.", 'start': 1072.31, 'duration': 2.4}, {'end': 1076.531, 'text': "so notice that i'm gonna scrape the names.", 'start': 1074.71, 'duration': 1.821}, {'end': 1083.916, 'text': 'So all of them seem to have the names of the brand or the names of the product.', 'start': 1077.071, 'duration': 6.845}, {'end': 1086.718, 'text': "And then I'm going to go ahead and scrape the product itself.", 'start': 1084.056, 'duration': 2.662}, {'end': 1088.399, 'text': 'And not all of them have a price.', 'start': 1086.818, 'duration': 1.581}, {'end': 1092.102, 'text': 'You see that? I have to add it to the cart to see the price.', 'start': 1088.419, 'duration': 3.683}, {'end': 1094.564, 'text': "Okay And let's see what else is here.", 'start': 1092.682, 'duration': 1.882}, {'end': 1096.687, 'text': 'And they all seem to have shipping.', 'start': 1094.685, 'duration': 2.002}, {'end': 1099.671, 'text': "So I'm going to grab shipping to see how much they all cost.", 'start': 1096.867, 'duration': 2.804}, {'end': 1102.714, 'text': "So once you learn how to scrape one, it's the same really for all of it.", 'start': 1099.711, 'duration': 3.003}, {'end': 1108.942, 'text': "Now, if you want to loop through all of it, you have to do those if-else statements to catch all the use cases that aren't there.", 'start': 1103.015, 'duration': 5.927}, {'end': 1109.442, 'text': 'So notice that.', 'start': 1108.962, 'duration': 0.48}, {'end': 1114.231, 'text': 'If I do a container right now, a container of zero.', 'start': 1110.63, 'duration': 3.601}], 'summary': 'Developing a script to parse reviews, scrape names, products, and shipping details, with considerations for handling errors and variations in data.', 'duration': 59.865, 'max_score': 1054.366, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1054366.jpg'}, {'end': 1174.295, 'src': 'heatmap', 'start': 1145.285, 'weight': 0.823, 'content': [{'end': 1146.465, 'text': "what? let's see what is in here.", 'start': 1145.285, 'duration': 1.18}, {'end': 1149.507, 'text': 'so notice that container dot a will bring me this thing back.', 'start': 1146.465, 'duration': 3.042}, {'end': 1154.691, 'text': 'so if i do container dot a, This brings me back exactly what I thought it would.', 'start': 1149.507, 'duration': 5.184}, {'end': 1159.037, 'text': 'It would bring me the item image, okay? So the item image, not that useful to us.', 'start': 1154.711, 'duration': 4.326}, {'end': 1160.999, 'text': "Let's see if there's anything that we can redeem in here.", 'start': 1159.077, 'duration': 1.922}, {'end': 1161.961, 'text': 'The title.', 'start': 1161.3, 'duration': 0.661}, {'end': 1168.249, 'text': 'we might be able to redeem the title, but it seems that we can also grab that down here, which I think this might be the more official way to grab it.', 'start': 1161.961, 'duration': 6.288}, {'end': 1169.37, 'text': "So let's grab it from there instead.", 'start': 1168.289, 'duration': 1.081}, {'end': 1171.692, 'text': "because that's what the customer sees.", 'start': 1170.171, 'duration': 1.521}, {'end': 1174.295, 'text': "that's what you will see, uh, when you go ahead and visit the space.", 'start': 1171.692, 'duration': 2.603}], 'summary': 'Inspecting container.a retrieves the expected item image and title for customer viewing.', 'duration': 29.01, 'max_score': 1145.285, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1145285.jpg'}], 'start': 932.481, 'title': 'Html inspection and product information scraping', 'summary': 'Covers inspecting html with js beautifier in sublime and scraping product information, including names, brands, and attributes, to prepare for analysis. it emphasizes proper formatting and efficient data retrieval.', 'chapters': [{'end': 993.619, 'start': 932.481, 'title': 'Inspecting html and beautifying using js', 'summary': 'Discusses inspecting html and beautifying it using js beautifier in sublime, ensuring proper spacing and delimiting for easier reading and analysis.', 'duration': 61.138, 'highlights': ['The process involves copying the HTML code into a text file and reading it in Sublime for analysis, addressing potential post-loading via JavaScript (JS) and identifying elements that may not show up (e.g., after JS execution).', "Using Sublime, the syntax is set to HTML, and then the JS Beautifier service is applied to ensure proper spacing and delimiting, improving the code's readability and overall structure.", "The use of JS Beautifier is demonstrated as it effectively transforms the initially 'ugly' code into neatly spaced and delimited HTML, facilitating easier analysis and understanding of the code structure."]}, {'end': 1297.755, 'start': 993.619, 'title': 'Scraping product information for analysis', 'summary': 'Details the process of scraping product information, including product names, brands, and common attributes, to prepare for analysis, with a focus on handling corner cases and iterating through containers for efficient data retrieval.', 'duration': 304.136, 'highlights': ['The chapter focuses on scraping product information, including product names, brands, and common attributes, to prepare for analysis. The process involves identifying and extracting useful information such as product names and brand details, as well as handling corner cases to ensure comprehensive data retrieval.', 'The importance of iterating through containers efficiently for data retrieval is emphasized to streamline the scraping process. Efficient data retrieval is highlighted through the emphasis on iterating through containers and implementing if-else statements to handle various use cases.', 'The process involves identifying and extracting useful information such as product names and brand details, as well as handling corner cases to ensure comprehensive data retrieval. The process involves identifying and extracting useful information such as product names and brand details, as well as handling corner cases to ensure comprehensive data retrieval.', 'Efficient data retrieval is highlighted through the emphasis on iterating through containers and implementing if-else statements to handle various use cases. Efficient data retrieval is emphasized through the implementation of if-else statements to handle different use cases and ensure comprehensive scraping of product information.', 'The importance of handling corner cases to ensure comprehensive data retrieval is emphasized throughout the chapter. The chapter underscores the significance of addressing corner cases to ensure complete data retrieval during the scraping process.']}], 'duration': 365.274, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI932481.jpg', 'highlights': ['The process involves identifying and extracting useful information such as product names and brand details, as well as handling corner cases to ensure comprehensive data retrieval.', 'Efficient data retrieval is emphasized through the implementation of if-else statements to handle different use cases and ensure comprehensive scraping of product information.', "Using Sublime, the syntax is set to HTML, and then the JS Beautifier service is applied to ensure proper spacing and delimiting, improving the code's readability and overall structure.", 'The importance of iterating through containers efficiently for data retrieval is emphasized to streamline the scraping process.', 'The chapter underscores the significance of addressing corner cases to ensure complete data retrieval during the scraping process.']}, {'end': 1698.07, 'segs': [{'end': 1347.353, 'src': 'embed', 'start': 1323.796, 'weight': 0, 'content': [{'end': 1331.943, 'text': 'Just grab two more things just to have a really good CSV file because a CSV file with one column seems a little tiny bit pointless.', 'start': 1323.796, 'duration': 8.147}, {'end': 1338.327, 'text': 'All right, the next thing I want to do is I want to go ahead and grab the name of this graphics card, which is right here.', 'start': 1332.423, 'duration': 5.904}, {'end': 1341.509, 'text': "And notice that it's embedded within this a tag.", 'start': 1339.207, 'duration': 2.302}, {'end': 1344.551, 'text': 'And this a tag is embedded within this div tag.', 'start': 1341.769, 'duration': 2.782}, {'end': 1347.353, 'text': 'And this div tag is embedded within this div tag.', 'start': 1344.891, 'duration': 2.462}], 'summary': 'Improving csv file with two more columns and extracting graphics card name from nested html tags.', 'duration': 23.557, 'max_score': 1323.796, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1323796.jpg'}, {'end': 1397.368, 'src': 'embed', 'start': 1368.395, 'weight': 2, 'content': [{'end': 1376.82, 'text': 'So what I want to do actually is I want to do I can do a find all and find just the direct class that I want, okay?', 'start': 1368.395, 'duration': 8.425}, {'end': 1380.943, 'text': 'So in this case I can do a find me all the A tags that have item.title.', 'start': 1376.84, 'duration': 4.103}, {'end': 1383.684, 'text': 'okay?. So in this case I can do container.findall.', 'start': 1380.943, 'duration': 2.741}, {'end': 1390.501, 'text': 'container.findAll is equal to.', 'start': 1387.118, 'duration': 3.383}, {'end': 1397.368, 'text': 'I want to see the A tag, okay, comma, and then I want to throw it into an object and the object is,', 'start': 1390.501, 'duration': 6.867}], 'summary': 'The speaker wants to find all a tags with item.title using container.findall.', 'duration': 28.973, 'max_score': 1368.395, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1368395.jpg'}, {'end': 1518.643, 'src': 'embed', 'start': 1492.792, 'weight': 1, 'content': [{'end': 1496.995, 'text': "So I've grabbed the brand, the make of the graphics card and the name of the graphics card again.", 'start': 1492.792, 'duration': 4.203}, {'end': 1502.539, 'text': 'And now we can go ahead and grab shipping because shipping seems like something else that they might all have.', 'start': 1497.435, 'duration': 5.104}, {'end': 1508.514, 'text': "Okay, so what we're going to do is figure out where this shipping tag is inside of all of it.", 'start': 1502.559, 'duration': 5.955}, {'end': 1512.718, 'text': 'How much does it cost for shipping? Because I think some of them cost differently for shipping.', 'start': 1508.554, 'duration': 4.164}, {'end': 1513.799, 'text': 'Yep, this is $4.99.', 'start': 1512.738, 'duration': 1.061}, {'end': 1514.339, 'text': 'shipping, okay?', 'start': 1513.799, 'duration': 0.54}, {'end': 1518.643, 'text': 'So in this case I need to find all li classes.', 'start': 1515.22, 'duration': 3.423}], 'summary': 'Analyzing graphics card details, finding shipping cost at $4.99.', 'duration': 25.851, 'max_score': 1492.792, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1492792.jpg'}, {'end': 1656.76, 'src': 'embed', 'start': 1608.305, 'weight': 3, 'content': [{'end': 1612.726, 'text': 'so i can go ahead and grab this Okay and throw it into my script as well.', 'start': 1608.305, 'duration': 4.421}, {'end': 1614.807, 'text': "So now I've grabbed three things.", 'start': 1613.246, 'duration': 1.561}, {'end': 1618.007, 'text': 'So in this case, I also need the find all that I did earlier.', 'start': 1614.847, 'duration': 3.16}, {'end': 1620.608, 'text': 'So if I go up a few times, I can find it.', 'start': 1618.247, 'duration': 2.361}, {'end': 1625.809, 'text': 'So the shipping container itself will be placed in here.', 'start': 1621.088, 'duration': 4.721}, {'end': 1631.49, 'text': 'And then if I close actually the find all function, there we go.', 'start': 1627.809, 'duration': 3.681}, {'end': 1633.19, 'text': 'So now I have three things that I want.', 'start': 1632.01, 'duration': 1.18}, {'end': 1638.731, 'text': 'So the product name, the brand and the shipping container will be actually shipping.', 'start': 1633.23, 'duration': 5.501}, {'end': 1640.782, 'text': 'Okay, so cool.', 'start': 1639.841, 'duration': 0.941}, {'end': 1643.865, 'text': 'So now this is ready to be looped through.', 'start': 1641.323, 'duration': 2.542}, {'end': 1646.649, 'text': 'But before that, I want to basically print it out.', 'start': 1644.226, 'duration': 2.423}, {'end': 1651.774, 'text': "Okay, so this is I'm going to show you why sublime is my favorite editor.", 'start': 1647.249, 'duration': 4.525}, {'end': 1653.156, 'text': 'It does multi line editing.', 'start': 1651.874, 'duration': 1.282}, {'end': 1656.76, 'text': "Okay, so in this case, I'm going to go ahead and enter three blank lines.", 'start': 1653.756, 'duration': 3.004}], 'summary': 'A script is being prepared to handle three items for a shipping container, product name, brand, and shipping container, using the find all function and multi-line editing in sublime text editor.', 'duration': 48.455, 'max_score': 1608.305, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1608305.jpg'}], 'start': 1298.035, 'title': 'Web scraping for product information', 'summary': 'Details the process of web scraping product information using python, including extracting brand and name of a graphics card, organizing it into a csv file, and covers extracting brand name, product name, and shipping cost from a webpage using python.', 'chapters': [{'end': 1492.732, 'start': 1298.035, 'title': 'Web scraping for product information', 'summary': "Details the process of web scraping product information using python, including extracting the brand and name of a graphics card from a website's html structure and organizing it into a csv file, emphasizing the use of container, div, and a tags, and the findall method.", 'duration': 194.697, 'highlights': ["Using Python to extract the brand and name of a graphics card from a website's HTML structure and organizing it into a CSV file.", 'Emphasizing the use of container, div, and a tags, and the findall method for web scraping product information.', 'Detailing the process of navigating through HTML elements to extract specific data, such as using container.findall and container.text to locate and retrieve desired information.']}, {'end': 1698.07, 'start': 1492.792, 'title': 'Web scraping for product information', 'summary': 'Covers extracting brand name, product name, and shipping cost from a webpage using python, including specific code snippets and explanations.', 'duration': 205.278, 'highlights': ['The process involves identifying and extracting the brand name, product name, and shipping cost, with the shipping cost being $4.99.', "Utilizing Python's 'find all' function to locate specific HTML elements, such as the shipping container, and extracting the necessary information.", 'Demonstrating the use of multi-line editing in Sublime text editor to format and print out the extracted variables for verification and further processing.']}], 'duration': 400.035, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1298035.jpg', 'highlights': ["Using Python to extract brand and name of a graphics card from website's HTML structure and organizing into a CSV file.", 'Identifying and extracting brand name, product name, and shipping cost, with shipping cost being $4.99.', 'Emphasizing use of container, div, and a tags, and the findall method for web scraping product information.', "Utilizing Python's 'find all' function to locate specific HTML elements, such as the shipping container, and extracting necessary information.", 'Detailing process of navigating through HTML elements to extract specific data, such as using container.findall and container.text to locate and retrieve desired information.', 'Demonstrating use of multi-line editing in Sublime text editor to format and print out extracted variables for verification and further processing.']}, {'end': 2004.587, 'segs': [{'end': 1752.156, 'src': 'embed', 'start': 1725.321, 'weight': 0, 'content': [{'end': 1729.123, 'text': 'So this file path is a file path that contains this script already in it.', 'start': 1725.321, 'duration': 3.802}, {'end': 1732.225, 'text': 'So what I need to do is just do Python.', 'start': 1729.424, 'duration': 2.801}, {'end': 1737.989, 'text': "So I want to tell it to run Python and I want to tell it, okay, now that I'm in Python, execute this script.", 'start': 1732.626, 'duration': 5.363}, {'end': 1741.251, 'text': 'So my first web script.py, I hit enter.', 'start': 1738.009, 'duration': 3.242}, {'end': 1743.211, 'text': 'And then hopefully, look at that.', 'start': 1742.27, 'duration': 0.941}, {'end': 1747.133, 'text': 'It went through, it did that loop, and it grabbed every other graphics card for me.', 'start': 1743.551, 'duration': 3.582}, {'end': 1752.156, 'text': 'So all I have to do now is throw this into a CSV file, and I can then open it in Excel.', 'start': 1747.393, 'duration': 4.763}], 'summary': 'Ran python script successfully, extracted graphics card data for csv file.', 'duration': 26.835, 'max_score': 1725.321, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1725321.jpg'}, {'end': 1965.911, 'src': 'embed', 'start': 1940.877, 'weight': 1, 'content': [{'end': 1947.401, 'text': 'It printed everything to the console, but more importantly, it wrote everything to this file, right? I told it to write everything to the CSV file.', 'start': 1940.877, 'duration': 6.524}, {'end': 1955.506, 'text': 'So if I open it up right now, you can see that it has gone ahead and scraped the entire page and thrown every every data point as a row,', 'start': 1947.421, 'duration': 8.085}, {'end': 1958.047, 'text': 'every product as a row into the csv file.', 'start': 1955.506, 'duration': 2.541}, {'end': 1965.911, 'text': 'so you can go ahead and scrape the other details as well, like whether or not it it had as a sales price or not, what the image tag might be.', 'start': 1958.047, 'duration': 7.864}], 'summary': 'The program successfully scraped and wrote data to a csv file.', 'duration': 25.034, 'max_score': 1940.877, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1940877.jpg'}, {'end': 2004.587, 'src': 'embed', 'start': 1976.716, 'weight': 4, 'content': [{'end': 1980.138, 'text': 'so you can just do a loop and just say in this case, do page two instead of page.', 'start': 1976.716, 'duration': 3.422}, {'end': 1984.239, 'text': "And that concludes today's lesson on how to web scrape with Python.", 'start': 1980.718, 'duration': 3.521}, {'end': 1986.64, 'text': 'I hope you guys learned a lot and had fun doing it.', 'start': 1984.299, 'duration': 2.341}, {'end': 1988.781, 'text': 'Now, I want to really know from you guys.', 'start': 1987.02, 'duration': 1.761}, {'end': 1990.182, 'text': 'Did you guys enjoy this kind of video??', 'start': 1988.821, 'duration': 1.361}, {'end': 1993.043, 'text': 'Do you guys want more coding videos, more data science videos?', 'start': 1990.202, 'duration': 2.841}, {'end': 1996.564, 'text': "And if there's a better way to code something, also let me know.", 'start': 1993.163, 'duration': 3.401}, {'end': 1997.945, 'text': "I'm always happy to hear from you guys.", 'start': 1996.584, 'duration': 1.361}, {'end': 2001.646, 'text': 'What do you guys enjoy? I want to make this content for you guys.', 'start': 1998.225, 'duration': 3.421}, {'end': 2002.386, 'text': 'All right.', 'start': 2002.106, 'duration': 0.28}, {'end': 2004.587, 'text': "Now, I'll see you guys later and happy coding.", 'start': 2002.746, 'duration': 1.841}], 'summary': 'Lesson on web scraping with python. seeking feedback for more coding and data science videos.', 'duration': 27.871, 'max_score': 1976.716, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1976716.jpg'}], 'start': 1698.531, 'title': 'Web scraping with python', 'summary': "Focuses on executing a web scraping tool named 'my first web scrape.py' in python, successfully retrieving every other graphics card. it also demonstrates the process of web scraping to extract data and write it to a csv file using python, including handling csv headers, replacing characters, and looping through data points to write them as rows into the file.", 'chapters': [{'end': 1747.133, 'start': 1698.531, 'title': 'Web scraping tool execution', 'summary': "Focuses on executing a web scraping tool named 'my first web scrape.py' in python, successfully retrieving every other graphics card.", 'duration': 48.602, 'highlights': ["Executing a web scraping tool in Python named 'my first web scrape.py' to retrieve every other graphics card.", 'Successfully retrieving every other graphics card using the web scraping tool.']}, {'end': 2004.587, 'start': 1747.393, 'title': 'Web scraping with python', 'summary': 'Demonstrates the process of web scraping to extract data and write it to a csv file using python, including handling csv headers, replacing characters, and looping through data points to write them as rows into the file.', 'duration': 257.194, 'highlights': ['The chapter demonstrates the process of web scraping to extract data and write it to a CSV file using Python, including handling CSV headers, replacing characters, and looping through data points to write them as rows into the file.', 'The script successfully scraped and wrote every data point as a row into the CSV file.', "The instructor concludes the lesson by seeking feedback on the content and expressing willingness to cater to the audience's preferences for future videos."]}], 'duration': 306.056, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/XQgXKtPSzUI/pics/XQgXKtPSzUI1698531.jpg', 'highlights': ['Successfully retrieving every other graphics card using the web scraping tool.', 'The script successfully scraped and wrote every data point as a row into the CSV file.', 'The chapter demonstrates the process of web scraping to extract data and write it to a CSV file using Python, including handling CSV headers, replacing characters, and looping through data points to write them as rows into the file.', "Executing a web scraping tool in Python named 'my first web scrape.py' to retrieve every other graphics card.", "The instructor concludes the lesson by seeking feedback on the content and expressing willingness to cater to the audience's preferences for future videos."]}], 'highlights': ['Web scraping provides access to real-time data from websites like Steam for video game deals and Wikipedia for standardized information, enabling quick and efficient data collection.', 'In the absence of APIs, web scraping becomes an important tool for data scientists and engineers, expanding the potential database to include the entire internet.', 'The demonstration includes examples of web scraping baseball stats, real-time player information, and standardized data from websites like Steam and Wikipedia.', 'Anaconda is recommended for Windows users over Python, with the Anaconda file being approximately 500 megabytes in size.', 'The process of opening the command line and using Python 3.5 with Anaconda is demonstrated, showcasing a simple calculation to verify the setup.', 'The installation of Beautiful Soup package is demonstrated, with instructions for pip installation and verification through Python console.', 'The process of setting up a web client using URLlib in Python is explained, emphasizing the modularized import of only necessary components and the naming of functions for ease of use.', 'The importance of modularized imports and console usage is highlighted, with a demonstration of copying commands from the console to a script for ease of use.', 'Using Beautiful Soup and URLlib to scrape graphics cards data from newegg.com', 'Discussing the process of parsing HTML text and grabbing the page', 'The process involves opening a connection, grabbing the webpage, parsing HTML, and traversing the DOM elements to extract data', 'Aiming to tabularize the data and handle potential changes in the dataset, ratings, and prices', 'Loading data into various file formats such as a database, CSV file, or Excel file is possible', 'Finding and looping through class containers to parse graphics cards from a webpage', 'The process involves identifying and extracting useful information such as product names and brand details, as well as handling corner cases to ensure comprehensive data retrieval.', 'Efficient data retrieval is emphasized through the implementation of if-else statements to handle different use cases and ensure comprehensive scraping of product information.', "Using Sublime, the syntax is set to HTML, and then the JS Beautifier service is applied to ensure proper spacing and delimiting, improving the code's readability and overall structure.", 'The importance of iterating through containers efficiently for data retrieval is emphasized to streamline the scraping process.', 'The chapter underscores the significance of addressing corner cases to ensure complete data retrieval during the scraping process.', "Using Python to extract brand and name of a graphics card from website's HTML structure and organizing into a CSV file.", 'Identifying and extracting brand name, product name, and shipping cost, with shipping cost being $4.99.', 'Emphasizing use of container, div, and a tags, and the findall method for web scraping product information.', "Utilizing Python's 'find all' function to locate specific HTML elements, such as the shipping container, and extracting necessary information.", 'Detailing process of navigating through HTML elements to extract specific data, such as using container.findall and container.text to locate and retrieve desired information.', 'Demonstrating use of multi-line editing in Sublime text editor to format and print out extracted variables for verification and further processing.', 'Successfully retrieving every other graphics card using the web scraping tool.', 'The script successfully scraped and wrote every data point as a row into the CSV file.', 'The chapter demonstrates the process of web scraping to extract data and write it to a CSV file using Python, including handling CSV headers, replacing characters, and looping through data points to write them as rows into the file.', "Executing a web scraping tool in Python named 'my first web scrape.py' to retrieve every other graphics card.", "The instructor concludes the lesson by seeking feedback on the content and expressing willingness to cater to the audience's preferences for future videos."]}