WEBVTT 0 00:00.300 --> 00:01.080 Hey guys, 1 00:01.080 --> 00:05.580 welcome to Day 47 of 100 Days of Code. Today 2 00:05.580 --> 00:09.600 we're going to be building a project that I personally find really useful. 3 00:10.680 --> 00:15.350 It's a Amazon price tracker project. 4 00:15.380 --> 00:17.390 So I don't know about you, 5 00:17.390 --> 00:22.310 but I find it much more time-efficient to go online and search for the thing 6 00:22.310 --> 00:25.580 that I need rather than have to go and browse through the shops, 7 00:25.880 --> 00:30.050 find the thing I want and I just find the whole shopping experience, 8 00:30.050 --> 00:33.170 really tiring. Whereas with buying stuff online, 9 00:33.170 --> 00:36.230 you can simply go on Amazon, type in the thing you want, 10 00:36.470 --> 00:39.470 and then a few days later you'll get it delivered straight to your door. 11 00:40.160 --> 00:44.720 But one of the things I've noticed with online shopping is that the prices of 12 00:44.720 --> 00:49.130 things vary dramatically from day to day. For example, 13 00:49.130 --> 00:53.690 one of the things I've been really tempted to buy is a instant pot. 14 00:53.960 --> 00:57.350 Um, it's basically it like a souped up pressure cooker. 15 00:57.950 --> 01:00.890 It can do all the normal things like cook your rice 16 01:01.190 --> 01:05.660 or work as a slow cooker, or pressure-cook your meat until it's really tender, 17 01:06.230 --> 01:11.230 but it can even do crazy stuff like bake a cake in the pressure cooker or make 18 01:12.980 --> 01:17.150 yogurt. This is something that I've had my eye on for a while, 19 01:17.180 --> 01:21.320 but I haven't really even able to pull the trigger just because I can't really 20 01:21.320 --> 01:26.320 justify paying $120 for something that I can sort of do with the other things 21 01:26.960 --> 01:30.980 I have, right? You can bake a cake with an oven, you can, um, 22 01:31.100 --> 01:32.540 you can make everything on the stove, 23 01:32.990 --> 01:35.420 but it's something that I've really been fascinated by 24 01:35.420 --> 01:40.040 and I wonder if I could cut down the amount of time I spend cooking so I can do 25 01:40.040 --> 01:43.400 some other things like making Programming tutorials. 26 01:44.000 --> 01:49.000 But one of the things I've noticed about this item or a lot of items on Amazon 27 01:49.100 --> 01:51.650 is that the price really fluctuates. 28 01:52.010 --> 01:55.310 So I've been keeping my eye on this product for a while now 29 01:55.340 --> 01:59.540 and I've seen it go up and down even on a day to day basis sometimes. 30 02:00.080 --> 02:05.080 And there is a really cool website that I discovered called camelcamelcamel.com, 31 02:05.420 --> 02:08.660 where you can simply take a product's URL, 32 02:08.660 --> 02:13.430 so you select the size you want, the style, the item, whatever it may be, 33 02:13.490 --> 02:17.990 and then you take the URL and you paste it into camelcamelcamel.com 34 02:18.440 --> 02:21.350 and it will give you the price history of that 35 02:21.380 --> 02:22.580 product. isn't that cool? 36 02:22.880 --> 02:27.880 So now you can look and get actual data on how much that product costs over the 37 02:28.790 --> 02:33.560 past few months or year and you can now see what was the lowest price, 38 02:33.860 --> 02:38.210 what was the highest price and see how it just fluctuates almost randomly. 39 02:38.660 --> 02:41.600 Now, normally I would think that on big sale days 40 02:41.660 --> 02:46.370 like black Friday or prime day, that you would get the cheapest price, 41 02:46.730 --> 02:51.020 but actually, that's not always the case. For example, in this case, 42 02:51.020 --> 02:55.400 the cheapest price for this item happened on May 25th, 43 02:55.760 --> 02:58.310 which is, I think, just a normal day. 44 02:58.310 --> 03:01.870 I don't really why it got price-dropped to that amount. 45 03:03.060 --> 03:08.060 So let's say that we have set a price in our mind at which point I'm ready to 46 03:09.150 --> 03:10.920 make a purchase. So for me, 47 03:11.400 --> 03:15.930 maybe if this item drops down from $119 48 03:16.020 --> 03:20.910 um, to let's say $99, then I'll actually buy it. 49 03:21.720 --> 03:24.870 Now we can actually do this using what we've learned, 50 03:25.290 --> 03:30.270 and then on that day, I get an email and it tells me Instant Pot price alert, 51 03:30.330 --> 03:35.250 the product price is now $99.99 below your target price, go ahead and buy now. 52 03:35.850 --> 03:40.350 So this is basically the functionality that we want to build using our knowledge 53 03:40.350 --> 03:42.150 of Python and web scraping. 54 03:42.930 --> 03:47.400 And our Python bot is going to be the one that's going to be constantly checking 55 03:47.400 --> 03:49.710 for the price. And when the time is right, 56 03:49.740 --> 03:53.280 it's going to be the one that's going to alert us, using an email, 57 03:53.460 --> 03:57.900 telling us to buy so that we don't have to spend every day looking at the 58 03:57.900 --> 03:58.440 website, 59 03:58.440 --> 04:02.850 checking the price and doing something that our Python bot could do by itself. 60 04:04.170 --> 04:09.090 The idea here is our little Python body is going to have a set time, let's say 61 04:09.090 --> 04:13.290 9:00 AM every day where it checks that URL that we got. 62 04:13.740 --> 04:18.000 So it's going to look at a specific thing on that webpage, 63 04:18.030 --> 04:22.290 which is the price. So at the moment, it's right, registering as 64 04:22.290 --> 04:24.690 $119.99 65 04:25.110 --> 04:30.110 and the moment when it checks that price and it sees 99.9 something, 66 04:31.290 --> 04:34.920 so anything that's below our set target of a hundred dollars, 67 04:35.280 --> 04:39.480 then it's going to send us an email and give us an alert. 68 04:40.440 --> 04:45.000 So then we can go to the URL and purchase is that product. 69 04:45.300 --> 04:47.040 Instead of having to check it out ourselves, 70 04:47.370 --> 04:50.760 we now get notified when our condition is met. 71 04:51.720 --> 04:55.350 As you can imagine, this is going to involve a little bit of web scraping, 72 04:55.500 --> 05:00.500 where we try to get hold of the value of this price and we turn it into a number 73 05:02.250 --> 05:07.230 and we check it against our target price. And then when the conditions are met, 74 05:07.290 --> 05:10.950 then we use the SMTP module to send ourselves an email. 75 05:11.880 --> 05:14.100 So that's the goal of today's project 76 05:14.250 --> 05:18.210 and I think if you're somebody like me who buys a lot of stuff online, 77 05:18.510 --> 05:20.940 then this is going to be pretty interesting for you. 78 05:21.090 --> 05:23.970 And I hope that will actually come in handy at some point as well. 79 05:24.840 --> 05:29.370 So head over to the next lesson and let's get started building our Amazon price 80 05:29.370 --> 05:30.090 tracking bot.