title
Amazon Web Scraping Using Python | Data Analyst Portfolio Project

description
Take my Full Python Course Here: https://bit.ly/48O581R Web Scraping isn't just for those fancy "programmers" and "software developers". Us analysts can use it too! In this project I walk through how to scrape data from Amazon using BeautifulSoup and Requests. LINKS: Code in GitHub: https://github.com/AlexTheAnalyst/PortfolioProjects/blob/main/Amazon%20Web%20Scraper%20Project.ipynb Anaconda: https://www.anaconda.com/products/individual Find Your User-Agent: https://httpbin.org/get ____________________________________________ SUBSCRIBE! Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content! ____________________________________________ RESOURCES: Coursera Courses: Google Data Analyst Certification: https://coursera.pxf.io/5bBd62 Data Analysis with Python - https://coursera.pxf.io/BXY3Wy IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR Tableau Data Visualization - https://coursera.pxf.io/MXYqaN Udemy Courses: Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX Statistics for Data Science - https://bit.ly/37jqDbq SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij Tableau A-Z - http://bit.ly/385lYvN *Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!* ____________________________________________ SUPPORT MY CHANNEL - PATREON/MERCH Patreon Page - https://www.patreon.com/AlexTheAnalyst Alex The Analyst Shop - https://teespring.com/stores/alex-the-analyst-shop ____________________________________________ Websites: GitHub: https://github.com/AlexTheAnalyst ____________________________________________ *All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

detail
{'title': 'Amazon Web Scraping Using Python | Data Analyst Portfolio Project', 'heatmap': [{'end': 543.948, 'start': 478.513, 'weight': 1}, {'end': 681.661, 'start': 652.933, 'weight': 0.71}], 'summary': 'Tutorial series covers a data analyst portfolio project on web scraping amazon using python and beautiful soup, with a 70-80% audience preference for amazon, taking approximately 10 hours over two weeks. it also includes using beautiful soup for parsing html, data cleaning, preparation, and automating csv data insertion, creating and appending data in csv, and automating the data collection process and price checking with python.', 'chapters': [{'end': 87.14, 'segs': [{'end': 28.922, 'src': 'embed', 'start': 0.149, 'weight': 0, 'content': [{'end': 2.454, 'text': "What's going on, everybody? Welcome back to another video.", 'start': 0.149, 'duration': 2.305}, {'end': 7.925, 'text': 'Today we are back with another data analyst portfolio project where we will be scraping data from Amazon using Python.', 'start': 2.514, 'duration': 5.411}, {'end': 20.618, 'text': "Now, you may be asking, do I need to know web scraping to become a data analyst? And the answer is no, you absolutely don't need to know it.", 'start': 14.175, 'duration': 6.443}, {'end': 22.639, 'text': 'But it is a very cool skill to learn.', 'start': 20.678, 'duration': 1.961}, {'end': 25.24, 'text': 'And in fact, I have used it in my job in the past.', 'start': 22.659, 'duration': 2.581}, {'end': 28.922, 'text': "And so it is useful, but you really don't need to know it.", 'start': 25.3, 'duration': 3.622}], 'summary': 'Data analyst project involves scraping amazon data using python, showcasing the usefulness of web scraping.', 'duration': 28.773, 'max_score': 0.149, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg149.jpg'}, {'end': 62.899, 'src': 'embed', 'start': 36.785, 'weight': 1, 'content': [{'end': 42.468, 'text': "But there are a lot of other uses for web scraping and I'm sure I'll talk a little bit more about that while we're actually walking through the project.", 'start': 36.785, 'duration': 5.683}, {'end': 46.91, 'text': 'One last thing I want to say before we get started is that this is most likely an intermediate project.', 'start': 42.708, 'duration': 4.202}, {'end': 51.233, 'text': 'So if you are just now learning the basics of Python, this might be a little bit challenging for you.', 'start': 46.93, 'duration': 4.303}, {'end': 55.935, 'text': 'But I still recommend going through it, because I will do my best to walk through everything,', 'start': 51.673, 'duration': 4.262}, {'end': 59.097, 'text': 'every single step of the way and kind of explain all of the concepts.', 'start': 55.935, 'duration': 3.162}, {'end': 62.899, 'text': "And so you can still learn something even if you aren't super good at Python right now.", 'start': 59.477, 'duration': 3.422}], 'summary': 'Web scraping has various uses. project is intermediate level, challenging for python beginners, but offers learning opportunities.', 'duration': 26.114, 'max_score': 36.785, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg36785.jpg'}], 'start': 0.149, 'title': 'Web scraping from amazon', 'summary': "Focuses on a data analyst portfolio project involving web scraping data from amazon using python. it emphasizes the skill's usefulness and its application in creating custom datasets, while also noting the project's intermediate complexity level suitable for learners familiar with python basics.", 'chapters': [{'end': 87.14, 'start': 0.149, 'title': 'Data analyst portfolio: web scraping from amazon', 'summary': "Focuses on a data analyst portfolio project involving web scraping data from amazon using python, emphasizing the skill's usefulness and its application in creating custom datasets, while also noting the project's intermediate complexity level suitable for learners familiar with python basics.", 'duration': 86.991, 'highlights': ['Web scraping from Amazon using Python for data analysis portfolio project The project involves scraping data from Amazon using Python, showcasing practical application of web scraping for data analysis.', 'Emphasizes the usefulness of web scraping in creating custom datasets The chapter highlights the utility of web scraping in creating personalized datasets, demonstrating its broader application beyond the specific project.', 'Project complexity is intermediate, suitable for learners familiar with Python basics The project is noted as intermediate, making it challenging for beginners but still accessible, with the presenter committed to explaining concepts thoroughly for learners new to Python.']}], 'duration': 86.991, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg149.jpg', 'highlights': ['Web scraping from Amazon using Python for data analysis portfolio project', 'Emphasizes the usefulness of web scraping in creating custom datasets', 'Project complexity is intermediate, suitable for learners familiar with Python basics']}, {'end': 588.788, 'segs': [{'end': 134.951, 'src': 'embed', 'start': 111.644, 'weight': 0, 'content': [{'end': 119.046, 'text': "Overwhelmingly, I mean, like 70% of people, maybe even 80%, don't fact check me on that, voted for Amazon.", 'start': 111.644, 'duration': 7.402}, {'end': 121.047, 'text': "And so I'm gonna do it.", 'start': 120.347, 'duration': 0.7}, {'end': 127.517, 'text': 'Now, there are many things that you can scrape off of Amazon, just a ton of stuff.', 'start': 121.727, 'duration': 5.79}, {'end': 131.73, 'text': 'I am going to show you how to do it.', 'start': 130.089, 'duration': 1.641}, {'end': 134.951, 'text': "I'm going to show you how to make it useful, how to make a data set.", 'start': 132.07, 'duration': 2.881}], 'summary': 'Around 70-80% people voted for amazon. the speaker will demonstrate how to scrape and utilize data from the platform.', 'duration': 23.307, 'max_score': 111.644, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg111644.jpg'}, {'end': 179.528, 'src': 'embed', 'start': 153.8, 'weight': 2, 'content': [{'end': 160.585, 'text': "Another thing that is a little bit more advanced, and that's why this first video is starting off, I think, on the more easy side.", 'start': 153.8, 'duration': 6.785}, {'end': 162.126, 'text': "It's not easy, but it's easier.", 'start': 160.625, 'duration': 1.501}, {'end': 171.603, 'text': "The next thing, the next video that I'm going to make, is how to actually do basically do multiple items right.", 'start': 162.146, 'duration': 9.457}, {'end': 177.927, 'text': 'so this item, this item, this item, this item, and then traverse through the different pages.', 'start': 171.603, 'duration': 6.324}, {'end': 179.528, 'text': "so there's 20 pages.", 'start': 177.927, 'duration': 1.601}], 'summary': 'The video covers an easier way to handle multiple items and traverse 20 pages.', 'duration': 25.728, 'max_score': 153.8, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg153800.jpg'}, {'end': 248.973, 'src': 'embed', 'start': 217.198, 'weight': 3, 'content': [{'end': 224.92, 'text': "We'll call this, um, Amazon web scraper, um, project.", 'start': 217.198, 'duration': 7.722}, {'end': 226.281, 'text': "That's what we'll call it.", 'start': 225.66, 'duration': 0.621}, {'end': 227.281, 'text': 'I spelled it right.', 'start': 226.761, 'duration': 0.52}, {'end': 237.544, 'text': 'Perfect Um, the first thing that we need to do, uh, or that we should do is upload, um, or, or import our libraries.', 'start': 227.321, 'duration': 10.223}, {'end': 244.207, 'text': "So I'm gonna say, um, import, oops, what am I doing? It's off to a terrible start.", 'start': 237.564, 'duration': 6.643}, {'end': 245.187, 'text': 'There we go.', 'start': 244.867, 'duration': 0.32}, {'end': 247.332, 'text': 'import libraries.', 'start': 246.112, 'duration': 1.22}, {'end': 248.973, 'text': "Now I'm not going to write out all the libraries.", 'start': 247.372, 'duration': 1.601}], 'summary': 'Creating an amazon web scraper project, starting with importing libraries.', 'duration': 31.775, 'max_score': 217.198, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg217198.jpg'}, {'end': 351.907, 'src': 'embed', 'start': 325.611, 'weight': 1, 'content': [{'end': 329.974, 'text': 'Now, one thing I want to say before we get too into it is that, well, give me a second.', 'start': 325.611, 'duration': 4.363}, {'end': 335.75, 'text': 'is that right here in front of me is a different laptop.', 'start': 332.406, 'duration': 3.344}, {'end': 343.859, 'text': 'Now, it took me a solid, I would say, you know, 10 hours or so to write all of this.', 'start': 335.87, 'duration': 7.989}, {'end': 346.281, 'text': 'It took over the course of like two weeks in my free time.', 'start': 344.159, 'duration': 2.122}, {'end': 346.802, 'text': "I'd pick it up.", 'start': 346.341, 'duration': 0.461}, {'end': 351.907, 'text': 'It took me a solid, you know, two weeks on and off, an hour here, an hour there.', 'start': 347.623, 'duration': 4.284}], 'summary': 'It took 10 hours to write the transcript over two weeks.', 'duration': 26.296, 'max_score': 325.611, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg325611.jpg'}, {'end': 543.948, 'src': 'heatmap', 'start': 478.513, 'weight': 1, 'content': [{'end': 482.894, 'text': 'So, uh, let me show you how to use how to get this.', 'start': 478.513, 'duration': 4.381}, {'end': 486.526, 'text': "and why you don't need to know any of this.", 'start': 484.804, 'duration': 1.722}, {'end': 490.249, 'text': 'So what this headers is, is this something called a user agent.', 'start': 486.686, 'duration': 3.563}, {'end': 492.331, 'text': 'You need to do this for your computer.', 'start': 490.309, 'duration': 2.022}, {'end': 496.235, 'text': 'And you can do that by going to this link right here.', 'start': 493.852, 'duration': 2.383}, {'end': 500.238, 'text': "So I'm gonna put this link in the description so that you can go and get that.", 'start': 497.095, 'duration': 3.143}, {'end': 502.981, 'text': "And there's something right here called the user agent.", 'start': 500.578, 'duration': 2.403}, {'end': 507.245, 'text': 'So all you have to do is copy this, just like this.', 'start': 503.781, 'duration': 3.464}, {'end': 508.979, 'text': 'Do copy.', 'start': 508.339, 'duration': 0.64}, {'end': 512.302, 'text': "I'm gonna go back here and I'll show you that it's, I'm gonna copy it in.", 'start': 509.64, 'duration': 2.662}, {'end': 514.363, 'text': "It'll be the exact same.", 'start': 512.702, 'duration': 1.661}, {'end': 515.985, 'text': 'So there you go.', 'start': 515.124, 'duration': 0.861}, {'end': 517.866, 'text': "It's the exact same.", 'start': 517.186, 'duration': 0.68}, {'end': 529.555, 'text': "All of this extra stuff, except encoding, except this HTML stuff, connection, close, all that, you don't need to know any of it.", 'start': 520.048, 'duration': 9.507}, {'end': 531.716, 'text': "I promise you'll never come in handy ever in life.", 'start': 529.735, 'duration': 1.981}, {'end': 536.96, 'text': "Actually, there'll be one person who that becomes in handy for and then they'll message me.", 'start': 533.478, 'duration': 3.482}, {'end': 543.948, 'text': 'But we are now connecting using our computer, using this URL.', 'start': 538.584, 'duration': 5.364}], 'summary': 'Demonstration of how to use user agent to connect using a specific url.', 'duration': 65.435, 'max_score': 478.513, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg478513.jpg'}], 'start': 87.14, 'title': 'Web scraping with amazon and beautiful soup', 'summary': 'Covers creating an amazon web scraper, including a poll result of 70-80% audience preference for amazon, and the process of web scraping using beautiful soup and requests, which took approximately 10 hours over two weeks.', 'chapters': [{'end': 248.973, 'start': 87.14, 'title': 'Amazon web scraper tutorial', 'summary': 'Details the process of creating an amazon web scraper, with a focus on data scraping and shows the overwhelming audience preference for amazon, with around 70-80% of 8,000 people voting for it in a poll, and hints at future plans for more advanced projects.', 'duration': 161.833, 'highlights': ['The audience preference for Amazon was overwhelming, with around 70-80% of 8,000 people voting for it in a poll.', 'The speaker plans to create a more advanced project involving scraping multiple items and traversing through different pages, hinting at the complexity of the next project.', 'The chapter starts with an easier tutorial on Amazon web scraping, followed by a mention of a more difficult and complex project in progress.', 'The speaker demonstrates how to import libraries and initiate the project by creating a new Python 3 file for the Amazon web scraper.']}, {'end': 588.788, 'start': 249.713, 'title': 'Web scraping using beautiful soup and requests', 'summary': 'Explains the process of web scraping using beautiful soup and requests, emphasizing the importance of copying and pasting for code availability and the time taken to complete the project, which took approximately 10 hours over two weeks.', 'duration': 339.075, 'highlights': ["The project took a total of approximately 10 hours to complete over the course of two weeks in the creator's free time, emphasizing the time and effort required for such tasks.", 'The importance of copying and pasting for code availability is highlighted, with a recommendation to write the code oneself for better learning, but providing the option to use pre-written code available on the GitHub page.', 'Emphasizing the usage of Beautiful Soup and Requests for web scraping, with a mention of potential additional libraries for sending emails, albeit less important for the current project.', 'The chapter explains the process of connecting to a website, including the use of URL and headers, providing a step-by-step guide on how to acquire the necessary user agent for the headers, despite mentioning that this information may not be essential in practice.', 'Demonstrating the usage of requests.get to pull in the URL data and the importance of cleaning up the initially dirty data obtained through web scraping.']}], 'duration': 501.648, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg87140.jpg', 'highlights': ['The audience preference for Amazon was overwhelming, with around 70-80% of 8,000 people voting for it in a poll.', "The project took a total of approximately 10 hours to complete over the course of two weeks in the creator's free time, emphasizing the time and effort required for such tasks.", 'The speaker plans to create a more advanced project involving scraping multiple items and traversing through different pages, hinting at the complexity of the next project.', 'The chapter starts with an easier tutorial on Amazon web scraping, followed by a mention of a more difficult and complex project in progress.']}, {'end': 1057.811, 'segs': [{'end': 651.793, 'src': 'embed', 'start': 609.179, 'weight': 0, 'content': [{'end': 613.941, 'text': 'All right, so what we are going to do is we are actually gonna start using the beautiful soup library.', 'start': 609.179, 'duration': 4.762}, {'end': 620.583, 'text': 'Alright. so we are going to say soup one is equal to and this is where we actually start bringing beautiful soup.', 'start': 614.341, 'duration': 6.242}, {'end': 621.103, 'text': 'and you guessed it.', 'start': 620.583, 'duration': 0.52}, {'end': 622.924, 'text': "you're going to say beautiful soup.", 'start': 621.103, 'duration': 1.821}, {'end': 626.425, 'text': 'And then in parentheses, we do page content.', 'start': 623.444, 'duration': 2.981}, {'end': 634.768, 'text': "And again, these aren't really things that you need to remember or need to memorize, we're just pulling in the content from the page.", 'start': 628.066, 'duration': 6.702}, {'end': 636.188, 'text': "That's really all we're doing right now.", 'start': 634.808, 'duration': 1.38}, {'end': 638.609, 'text': 'And it comes in as HTML.', 'start': 636.849, 'duration': 1.76}, {'end': 640.21, 'text': "So we're gonna do HTML dot parser.", 'start': 638.709, 'duration': 1.501}, {'end': 646.489, 'text': "And let's see if I can print out Actually, let me just do SUP1.", 'start': 640.23, 'duration': 6.259}, {'end': 648.751, 'text': "I don't like doing upper caps on stuff.", 'start': 646.509, 'duration': 2.242}, {'end': 651.793, 'text': "Let's see if anything prints out real quick.", 'start': 650.132, 'duration': 1.661}], 'summary': 'Using beautiful soup library to parse html content for page data', 'duration': 42.614, 'max_score': 609.179, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg609179.jpg'}, {'end': 681.661, 'src': 'heatmap', 'start': 652.933, 'weight': 0.71, 'content': [{'end': 656.676, 'text': 'So we are literally pulling in all of the HTML.', 'start': 652.933, 'duration': 3.743}, {'end': 662.58, 'text': "And let me go show you really quick, because we're going to get to this in a second anyways.", 'start': 658.677, 'duration': 3.903}, {'end': 665.822, 'text': 'If you come here, this is.', 'start': 663.96, 'duration': 1.862}, {'end': 670.415, 'text': 'This is a static page basically written in HTML.', 'start': 667.133, 'duration': 3.282}, {'end': 681.661, 'text': 'If you have never seen HTML before, actually a lot of this is just stuff that most people will never use.', 'start': 671.175, 'duration': 10.486}], 'summary': 'Transcript discusses pulling in all html, with static page examples.', 'duration': 28.728, 'max_score': 652.933, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg652933.jpg'}, {'end': 725.627, 'src': 'embed', 'start': 701.141, 'weight': 4, 'content': [{'end': 709.923, 'text': 'What I can do is I can click select element, go right here, and then we can select like the header or the title of the page.', 'start': 701.141, 'duration': 8.782}, {'end': 713.884, 'text': "Now, I just want to show you though of what we're pulling in.", 'start': 710.483, 'duration': 3.401}, {'end': 717.605, 'text': "So we're pulling in this doc type HTML, all of this is coming in.", 'start': 714.204, 'duration': 3.401}, {'end': 723.786, 'text': "So that's what this is right here, this doc type HTML, and we're pulling every single thing in.", 'start': 718.425, 'duration': 5.361}, {'end': 725.627, 'text': "That is what we're doing right now.", 'start': 724.707, 'duration': 0.92}], 'summary': 'Demonstrating selecting elements, pulling in doc type html, and importing all content.', 'duration': 24.486, 'max_score': 701.141, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg701141.jpg'}, {'end': 778.824, 'src': 'embed', 'start': 751.446, 'weight': 1, 'content': [{'end': 757.67, 'text': "If you don't know what that is, it is common in a lot of different languages and a lot of different stuff.", 'start': 751.446, 'duration': 6.224}, {'end': 760.592, 'text': 'It just makes things look better.', 'start': 758.571, 'duration': 2.021}, {'end': 762.293, 'text': "That's really all it is.", 'start': 761.353, 'duration': 0.94}, {'end': 766.536, 'text': "I don't know why I'm using double quotes.", 'start': 762.313, 'duration': 4.223}, {'end': 770.258, 'text': "I don't know why I can do, you can do single ones if you want.", 'start': 768.297, 'duration': 1.961}, {'end': 773.74, 'text': "And now let's do Beautiful Soup 2.", 'start': 770.959, 'duration': 2.781}, {'end': 776.482, 'text': 'And it should just be, it should be better formatted.', 'start': 773.74, 'duration': 2.742}, {'end': 778.824, 'text': "And let's see if that's true.", 'start': 777.943, 'duration': 0.881}], 'summary': 'Introduction to beautiful soup 2 for better formatting.', 'duration': 27.378, 'max_score': 751.446, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg751446.jpg'}], 'start': 590.193, 'title': 'Beautiful soup library and web scraping', 'summary': 'Introduces beautiful soup for parsing html and demonstrates pulling in html content. it also covers web scraping techniques using beautiful soup to extract specific data such as product title and price from html, emphasizing its simplicity and versatility.', 'chapters': [{'end': 725.627, 'start': 590.193, 'title': 'Introduction to beautiful soup library', 'summary': "Introduces the use of the beautiful soup library for parsing html content, demonstrating the process of pulling in html content and printing it, while emphasizing that it's not essential to memorize the syntax.", 'duration': 135.434, 'highlights': ['The chapter introduces the use of the Beautiful Soup library for parsing HTML content. It demonstrates the process of pulling in HTML content and printing it using the Beautiful Soup library.', "Emphasizing that it's not essential to memorize the syntax. The presenter mentions that the syntax for pulling in the content from the page using Beautiful Soup library need not be memorized."]}, {'end': 1057.811, 'start': 726.738, 'title': 'Web scraping for data extraction', 'summary': 'Covers web scraping techniques using beautiful soup to extract specific data such as product title and price from html, emphasizing the simplicity and versatility of the tool and concluding with a hint at the possibility of extracting other types of data.', 'duration': 331.073, 'highlights': ['The chapter introduces web scraping using Beautiful Soup to extract specific data such as product title and price from HTML. It demonstrates the process of using Beautiful Soup to locate and extract specific content from HTML, providing a practical example of retrieving the product title and price.', 'Emphasizes the simplicity and versatility of Beautiful Soup for data extraction. The speaker highlights the ease of use of Beautiful Soup, mentioning its commonality across different languages and its capability to enhance the appearance of content, while also underlining its potential to extract various types of data beyond titles and prices.', 'Hints at the possibility of extracting other types of data using web scraping. The chapter hints at the potential to extract various other types of data, such as ratings and product details, from static web pages, emphasizing the broad applicability of web scraping techniques demonstrated in the tutorial.']}], 'duration': 467.618, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg590193.jpg', 'highlights': ['The chapter introduces web scraping using Beautiful Soup to extract specific data such as product title and price from HTML.', 'Emphasizes the simplicity and versatility of Beautiful Soup for data extraction.', 'Demonstrates the process of using Beautiful Soup to locate and extract specific content from HTML.', 'The chapter introduces the use of the Beautiful Soup library for parsing HTML content.', 'Hints at the possibility of extracting other types of data using web scraping.', "Emphasizing that it's not essential to memorize the syntax."]}, {'end': 1354.524, 'segs': [{'end': 1127.884, 'src': 'embed', 'start': 1079.462, 'weight': 0, 'content': [{'end': 1088.912, 'text': "Why not? We're going to say price.strip and that's just going to take basically the junk off of either side.", 'start': 1079.462, 'duration': 9.45}, {'end': 1091.537, 'text': "And so let's run that real quick.", 'start': 1089.895, 'duration': 1.642}, {'end': 1097.885, 'text': "So this is what we have, but what we can also do is, I don't want that dollar sign, I just want the numeric value.", 'start': 1091.878, 'duration': 6.007}, {'end': 1104.093, 'text': 'Later on, we are gonna be putting this and we are gonna be creating a process to put this into an Excel file.', 'start': 1098.526, 'duration': 5.567}, {'end': 1106.965, 'text': "Again, we're trying to create a dataset.", 'start': 1104.983, 'duration': 1.982}, {'end': 1108.967, 'text': "I don't want you to have to copy and paste stuff.", 'start': 1107.405, 'duration': 1.562}, {'end': 1115.653, 'text': 'This is all gonna be automated basically to input this data into an Excel file for you or a CSV file for you.', 'start': 1108.987, 'duration': 6.666}, {'end': 1121.438, 'text': 'So, you know, think about making it useful in a CSV or in an Excel later on.', 'start': 1115.693, 'duration': 5.745}, {'end': 1127.884, 'text': "So what we can do is do a bracket and we're gonna do one and then everything after that.", 'start': 1121.978, 'duration': 5.906}], 'summary': 'Automating data extraction and processing for excel/csv, removing junk characters.', 'duration': 48.422, 'max_score': 1079.462, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg1079462.jpg'}, {'end': 1249.681, 'src': 'embed', 'start': 1222.62, 'weight': 3, 'content': [{'end': 1235.302, 'text': 'But what we need to do is we need to, create the CSV, insert it into the CSV, and then create a process to append more data into that CSV.', 'start': 1222.62, 'duration': 12.682}, {'end': 1238.144, 'text': "I'm doing a lot of talking, let's do some writing.", 'start': 1236.362, 'duration': 1.782}, {'end': 1243.567, 'text': "So what we need to do is we're gonna use, I should have done this at the top.", 'start': 1238.724, 'duration': 4.843}, {'end': 1245.849, 'text': "Maybe I'll go back and add that later on.", 'start': 1243.727, 'duration': 2.122}, {'end': 1247.88, 'text': "We're gonna do import CSV.", 'start': 1246.8, 'duration': 1.08}, {'end': 1249.681, 'text': 'Now in a CSV.', 'start': 1247.92, 'duration': 1.761}], 'summary': 'Create and insert data into csv, and develop process to append more data.', 'duration': 27.061, 'max_score': 1222.62, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg1222620.jpg'}, {'end': 1359.488, 'src': 'embed', 'start': 1330.63, 'weight': 4, 'content': [{'end': 1334.995, 'text': 'And this is important because you can run into a lot of issues with this stuff.', 'start': 1330.63, 'duration': 4.365}, {'end': 1338.179, 'text': "It's really important to remember what type.", 'start': 1335.135, 'duration': 3.044}, {'end': 1343.556, 'text': 'How do I say this? How your data is.', 'start': 1341.394, 'duration': 2.162}, {'end': 1344.817, 'text': 'is it a list??', 'start': 1343.556, 'duration': 1.261}, {'end': 1345.557, 'text': 'Is it an array??', 'start': 1344.857, 'duration': 0.7}, {'end': 1346.538, 'text': 'Is it a dictionary?', 'start': 1345.597, 'duration': 0.941}, {'end': 1348.459, 'text': 'You know what is it?', 'start': 1347.559, 'duration': 0.9}, {'end': 1349.96, 'text': 'These things are important.', 'start': 1348.84, 'duration': 1.12}, {'end': 1352.723, 'text': 'They do play a big impact, especially with this type of stuff.', 'start': 1350.021, 'duration': 2.702}, {'end': 1354.524, 'text': 'So just wanna show you that really quick.', 'start': 1352.923, 'duration': 1.601}, {'end': 1359.488, 'text': 'But what we are now gonna do is create a CSV.', 'start': 1355.905, 'duration': 3.583}], 'summary': 'Importance of understanding data types for avoiding issues, especially in creating csv.', 'duration': 28.858, 'max_score': 1330.63, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg1330630.jpg'}], 'start': 1058.331, 'title': 'Data cleaning, preparation, and automating csv data insertion', 'summary': 'Covers cleaning and preparing data for automated input into excel or csv, emphasizing the creation of a useful dataset. it also explains the automation of csv creation, data insertion, and appending, highlighting the significance of data types and organization for successful implementation.', 'chapters': [{'end': 1179.983, 'start': 1058.331, 'title': 'Data cleaning and preparation', 'summary': 'Discusses cleaning and preparing data for automated input into an excel or csv file, including stripping junk characters and creating a dataset, aiming to make it useful in a csv or excel format.', 'duration': 121.652, 'highlights': ['The chapter discusses cleaning and preparing data for automated input into an Excel or CSV file. Data cleaning and preparation for automated input', 'The process involves stripping junk characters and creating a dataset. Stripping junk characters, creating a dataset', 'Aim to make the data useful in a CSV or Excel format for automated input. Making data useful in CSV or Excel format']}, {'end': 1354.524, 'start': 1179.983, 'title': 'Automating csv data insertion and append process', 'summary': 'Explains the process of creating a csv, inserting data into it, and automating the process to append more data over time, emphasizing the importance of data types and organization for successful implementation.', 'duration': 174.541, 'highlights': ['The chapter focuses on creating a CSV, inserting data, and automating the process to append more data, highlighting its relevance for saving time and ensuring continual data management.', 'Emphasizes the significance of organizing data types, such as lists, arrays, and dictionaries, for smooth functioning and avoiding potential issues in the process.', 'The importance of categorizing data types, including strings, lists, arrays, and dictionaries, is emphasized to prevent potential issues and ensure efficient data handling.']}], 'duration': 296.193, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg1058331.jpg', 'highlights': ['The chapter discusses cleaning and preparing data for automated input into an Excel or CSV file.', 'The process involves stripping junk characters and creating a dataset.', 'Aim to make the data useful in a CSV or Excel format for automated input.', 'The chapter focuses on creating a CSV, inserting data, and automating the process to append more data, highlighting its relevance for saving time and ensuring continual data management.', 'Emphasizes the significance of organizing data types, such as lists, arrays, and dictionaries, for smooth functioning and avoiding potential issues in the process.', 'The importance of categorizing data types, including strings, lists, arrays, and dictionaries, is emphasized to prevent potential issues and ensure efficient data handling.']}, {'end': 1943.79, 'segs': [{'end': 1695.513, 'src': 'embed', 'start': 1669.843, 'weight': 1, 'content': [{'end': 1675.725, 'text': 'is I like to have some type of date stamp or some type of timestamp to know when I collected this data?', 'start': 1669.843, 'duration': 5.882}, {'end': 1678.107, 'text': 'It usually comes in handy later on.', 'start': 1676.126, 'duration': 1.981}, {'end': 1681.228, 'text': 'I have never regretted putting it in there.', 'start': 1678.127, 'duration': 3.101}, {'end': 1683.369, 'text': "I'll show you really quick how you can do it.", 'start': 1681.668, 'duration': 1.701}, {'end': 1685.33, 'text': 'You can do import date time.', 'start': 1683.689, 'duration': 1.641}, {'end': 1689.711, 'text': 'Geez, I hate having to format stuff like that.', 'start': 1687.15, 'duration': 2.561}, {'end': 1695.513, 'text': 'And what you can do is you can do date, let me get, date, time, and you do .', 'start': 1689.731, 'duration': 5.782}], 'summary': 'Adding date and timestamp to data collection is helpful. import date time, format it, and include in data.', 'duration': 25.67, 'max_score': 1669.843, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg1669843.jpg'}, {'end': 1887.942, 'src': 'embed', 'start': 1819.093, 'weight': 0, 'content': [{'end': 1823.175, 'text': 'So we have our title, we have our price, and we have our date.', 'start': 1819.093, 'duration': 4.082}, {'end': 1829.579, 'text': 'Now, again, you can customize this, whatever you wanna add, go back here, find what you want.', 'start': 1823.255, 'duration': 6.324}, {'end': 1837.923, 'text': "Do you want it to make sure that it has a men's option or different colors, or you wanna pull in this information whatever you want.", 'start': 1829.599, 'duration': 8.324}, {'end': 1839.004, 'text': 'it really does not matter.', 'start': 1837.923, 'duration': 1.081}, {'end': 1843.126, 'text': 'Just matters that you get what you need.', 'start': 1839.824, 'duration': 3.302}, {'end': 1845.652, 'text': "for whatever purpose, whatever you're making this for.", 'start': 1843.831, 'duration': 1.821}, {'end': 1849.953, 'text': 'This is more of an introductory video to how to scrape data from Amazon.', 'start': 1845.672, 'duration': 4.281}, {'end': 1855.894, 'text': "The next video will probably be a little bit more difficult and in depth, but this is kind of, let's get you guys started.", 'start': 1850.693, 'duration': 5.201}, {'end': 1859.295, 'text': 'So we now have this and this is beautiful.', 'start': 1855.954, 'duration': 3.341}, {'end': 1871.798, 'text': "Now, something that you want to do when you're scraping data and you're getting, I guess data over time.", 'start': 1860.916, 'duration': 10.882}, {'end': 1880.861, 'text': "And that's kind of what we're doing is going to be almost like, um, at price tracker over time is you want to then append data to this.", 'start': 1871.838, 'duration': 9.023}, {'end': 1883.641, 'text': "So we can't only create it.", 'start': 1881.741, 'duration': 1.9}, {'end': 1885.082, 'text': "And that's what this does.", 'start': 1883.661, 'duration': 1.421}, {'end': 1887.942, 'text': "Cause if I run this a hundred times, it'll only give me this first row.", 'start': 1885.102, 'duration': 2.84}], 'summary': 'Introductory video on scraping data from amazon, focusing on customization and data appending.', 'duration': 68.849, 'max_score': 1819.093, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg1819093.jpg'}], 'start': 1355.905, 'title': 'Creating and appending data in csv', 'summary': 'Covers the process of creating a csv file containing data from amazon web scraper, including writing the header and data, along with appending data to the csv over time, and adding a timestamp to the dataset, providing an overview of the process of scraping data from amazon.', 'chapters': [{'end': 1943.79, 'start': 1355.905, 'title': 'Creating and appending data in csv', 'summary': 'Covers the process of creating a csv file containing data from amazon web scraper, including writing the header and data, along with appending data to the csv over time, and adding a timestamp to the dataset, providing an overview of the process of scraping data from amazon.', 'duration': 587.885, 'highlights': ['The process of creating a CSV file, writing the header and data, and appending data to the CSV over time is explained, providing an introductory guide to scraping data from Amazon.', "The method of adding a timestamp to the dataset using 'import datetime' and 'date.today()' is demonstrated, emphasizing the importance of including a date stamp for the collected data.", 'The significance of appending data to the CSV over time is highlighted, ensuring the continuous addition of new data to the existing dataset for tracking purposes.', 'The importance of customizing the data fields based on individual requirements and purposes is emphasized, allowing flexibility in the data collection process and usage for specific needs.']}], 'duration': 587.885, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg1355905.jpg', 'highlights': ['The process of creating a CSV file, writing the header and data, and appending data to the CSV over time is explained, providing an introductory guide to scraping data from Amazon.', "The method of adding a timestamp to the dataset using 'import datetime' and 'date.today()' is demonstrated, emphasizing the importance of including a date stamp for the collected data.", 'The significance of appending data to the CSV over time is highlighted, ensuring the continuous addition of new data to the existing dataset for tracking purposes.', 'The importance of customizing the data fields based on individual requirements and purposes is emphasized, allowing flexibility in the data collection process and usage for specific needs.']}, {'end': 2820.643, 'segs': [{'end': 1992.163, 'src': 'embed', 'start': 1945.712, 'weight': 0, 'content': [{'end': 1952.758, 'text': "And so if I run this, which I'm not going to right now, I mean, why not? I can run it and then we can read this in it.", 'start': 1945.712, 'duration': 7.046}, {'end': 1954.919, 'text': "So now there's our data.", 'start': 1953.078, 'duration': 1.841}, {'end': 1956.401, 'text': "I'll run it a few more times.", 'start': 1955.1, 'duration': 1.301}, {'end': 1959.593, 'text': 'I ran it like three or four more times.', 'start': 1958.272, 'duration': 1.321}, {'end': 1961.414, 'text': 'I run that in and there we go.', 'start': 1959.893, 'duration': 1.521}, {'end': 1968.998, 'text': "Now it's all the exact same data, super boring, but very, very good to have.", 'start': 1961.694, 'duration': 7.304}, {'end': 1972.38, 'text': "Now we don't want to have to come in here and run this every day.", 'start': 1969.098, 'duration': 3.282}, {'end': 1973.941, 'text': "Let's say we're going to do this daily.", 'start': 1972.4, 'duration': 1.541}, {'end': 1981.189, 'text': "We don't want to have to come and run this every single day, right? We want a way where it does it while we sleep.", 'start': 1975.442, 'duration': 5.747}, {'end': 1985.515, 'text': 'It does it in the background of our laptop and is easy to do right?', 'start': 1981.229, 'duration': 4.286}, {'end': 1989.72, 'text': "I don't want to come in here every single morning with an alarm on my phone.", 'start': 1986.095, 'duration': 3.625}, {'end': 1990.381, 'text': 'every single morning.', 'start': 1989.72, 'duration': 0.661}, {'end': 1990.741, 'text': 'come in here.', 'start': 1990.381, 'duration': 0.36}, {'end': 1992.163, 'text': 'I want to automate this.', 'start': 1990.962, 'duration': 1.201}], 'summary': 'Automate running data daily, eliminating manual effort.', 'duration': 46.451, 'max_score': 1945.712, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg1945712.jpg'}, {'end': 2272.744, 'src': 'embed', 'start': 2245.267, 'weight': 1, 'content': [{'end': 2248.609, 'text': 'We can, that was for demonstration purposes.', 'start': 2245.267, 'duration': 3.342}, {'end': 2253.873, 'text': "I've never do anything every five seconds, unless it was like Black Friday on Amazon.", 'start': 2248.63, 'duration': 5.243}, {'end': 2260.017, 'text': 'We can put this as long or as short as you want.', 'start': 2255.254, 'duration': 4.763}, {'end': 2261.538, 'text': 'You can run it every second if you want.', 'start': 2260.057, 'duration': 1.481}, {'end': 2264.26, 'text': "That doesn't make sense to me, but you can.", 'start': 2262.338, 'duration': 1.922}, {'end': 2272.744, 'text': "What we can do is do a little bit of math, and I don't know this off the top of my head, so I'm going to do the math with you live.", 'start': 2265.117, 'duration': 7.627}], 'summary': 'Demonstrated frequency of every five seconds, adjustable to every second if desired.', 'duration': 27.477, 'max_score': 2245.267, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg2245267.jpg'}, {'end': 2376.941, 'src': 'embed', 'start': 2353.06, 'weight': 2, 'content': [{'end': 2361.006, 'text': 'But you get the idea that if this price were to change, we would then see that reflected in the data at some point.', 'start': 2353.06, 'duration': 7.946}, {'end': 2366.49, 'text': 'You can do this on any item you could ever imagine on Amazon.', 'start': 2362.386, 'duration': 4.104}, {'end': 2368.052, 'text': "It's the exact same process.", 'start': 2366.53, 'duration': 1.522}, {'end': 2370.114, 'text': 'And some items change often.', 'start': 2368.512, 'duration': 1.602}, {'end': 2373.237, 'text': 'This t-shirt will most likely never change.', 'start': 2370.574, 'duration': 2.663}, {'end': 2376.941, 'text': 'And so, you know, again, this is for demonstration purposes.', 'start': 2374.118, 'duration': 2.823}], 'summary': 'Price changes reflected in data, demonstrated on amazon items.', 'duration': 23.881, 'max_score': 2353.06, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg2353060.jpg'}, {'end': 2790.559, 'src': 'embed', 'start': 2766.469, 'weight': 5, 'content': [{'end': 2775.576, 'text': 'This to me, again, was a good introduction, a really good introduction to web scraping because in this next one, it gets quite a bit more difficult.', 'start': 2766.469, 'duration': 9.107}, {'end': 2784.317, 'text': "I would say on a scale of like difficulty, this is like maybe a four and it'll probably jump up to like a seven on this next one.", 'start': 2777.054, 'duration': 7.263}, {'end': 2790.559, 'text': 'Just much more technical or coding heavy.', 'start': 2785.217, 'duration': 5.342}], 'summary': 'Introduction to web scraping, difficulty level increases from 4 to 7 in next session.', 'duration': 24.09, 'max_score': 2766.469, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg2766469.jpg'}], 'start': 1945.712, 'title': 'Automating data collection process and price checking with python', 'summary': 'Discusses the need for automating the data collection process to avoid manual intervention, highlighting the repetitive nature of the task. it also showcases the process of automating price checking using python, with a timer set to run the process every 5 seconds and creating a dataset for price changes.', 'chapters': [{'end': 1992.163, 'start': 1945.712, 'title': 'Automating data collection process', 'summary': 'Discusses the need for automating the data collection process to avoid manual intervention, mentioning the repetitive nature of the task and the desire for it to run in the background without daily human involvement.', 'duration': 46.451, 'highlights': ['The need to automate the data collection process to avoid daily manual intervention and repetitiveness.', 'The desire for the process to run in the background without requiring daily human involvement.', 'The acknowledgement of the importance of having the exact same data, despite being boring, for its reliability and usefulness.']}, {'end': 2820.643, 'start': 1993.7, 'title': 'Automating price checking with python', 'summary': 'Showcases the process of automating price checking using python, demonstrating the use of a timer to run the process every 5 seconds and creating a dataset for price changes, with a potential transition to more advanced web scraping projects in the future.', 'duration': 826.943, 'highlights': ['The process of automating price checking using Python and a timer is demonstrated, with the process set to run every 5 seconds. The chapter showcases the process of using Python and a timer to automate price checking, demonstrating the process set to run every 5 seconds.', 'Creation of a dataset for price changes is emphasized, showcasing the potential for tracking price fluctuations over time. The chapter emphasizes the creation of a dataset for price changes, highlighting the potential for tracking price fluctuations over time.', 'The potential transition to more advanced web scraping projects in the future is mentioned, indicating an upcoming increase in technical complexity. The chapter hints at a potential transition to more advanced web scraping projects in the future, indicating an upcoming increase in technical complexity.']}], 'duration': 874.931, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/HiOtQMcI5wg/pics/HiOtQMcI5wg1945712.jpg', 'highlights': ['The need to automate the data collection process to avoid daily manual intervention and repetitiveness.', 'The process of automating price checking using Python and a timer is demonstrated, with the process set to run every 5 seconds.', 'Creation of a dataset for price changes is emphasized, showcasing the potential for tracking price fluctuations over time.', 'The desire for the process to run in the background without requiring daily human involvement.', 'The acknowledgement of the importance of having the exact same data, despite being boring, for its reliability and usefulness.', 'The potential transition to more advanced web scraping projects in the future is mentioned, indicating an upcoming increase in technical complexity.']}], 'highlights': ['Emphasizes the significance of organizing data types, such as lists, arrays, and dictionaries, for smooth functioning and avoiding potential issues in the process.', 'The importance of categorizing data types, including strings, lists, arrays, and dictionaries, is emphasized to prevent potential issues and ensure efficient data handling.', 'The process involves stripping junk characters and creating a dataset.', 'Aim to make the data useful in a CSV or Excel format for automated input.', 'The chapter focuses on creating a CSV, inserting data, and automating the process to append more data, highlighting its relevance for saving time and ensuring continual data management.', 'The process of automating price checking using Python and a timer is demonstrated, with the process set to run every 5 seconds.', 'Creation of a dataset for price changes is emphasized, showcasing the potential for tracking price fluctuations over time.', 'The need to automate the data collection process to avoid daily manual intervention and repetitiveness.', 'The acknowledgement of the importance of having the exact same data, despite being boring, for its reliability and usefulness.', "The project took a total of approximately 10 hours to complete over the course of two weeks in the creator's free time, emphasizing the time and effort required for such tasks.", 'The speaker plans to create a more advanced project involving scraping multiple items and traversing through different pages, hinting at the complexity of the next project.', 'The chapter starts with an easier tutorial on Amazon web scraping, followed by a mention of a more difficult and complex project in progress.', 'The chapter introduces web scraping using Beautiful Soup to extract specific data such as product title and price from HTML.', 'Emphasizes the simplicity and versatility of Beautiful Soup for data extraction.', 'Demonstrates the process of using Beautiful Soup to locate and extract specific content from HTML.', 'The chapter introduces the use of the Beautiful Soup library for parsing HTML content.', 'Hints at the possibility of extracting other types of data using web scraping.', "Emphasizing that it's not essential to memorize the syntax.", 'The process of creating a CSV file, writing the header and data, and appending data to the CSV over time is explained, providing an introductory guide to scraping data from Amazon.', "The method of adding a timestamp to the dataset using 'import datetime' and 'date.today()' is demonstrated, emphasizing the importance of including a date stamp for the collected data.", 'The significance of appending data to the CSV over time is highlighted, ensuring the continuous addition of new data to the existing dataset for tracking purposes.', 'The importance of customizing the data fields based on individual requirements and purposes is emphasized, allowing flexibility in the data collection process and usage for specific needs.', 'Web scraping from Amazon using Python for data analysis portfolio project', 'Emphasizes the usefulness of web scraping in creating custom datasets', 'Project complexity is intermediate, suitable for learners familiar with Python basics', 'The audience preference for Amazon was overwhelming, with around 70-80% of 8,000 people voting for it in a poll.']}