Scraping Amazon's best Black Friday DEALS with Python

hi everybody and in this video i'm going to show you how you can make your own amazon black friday deal scraper where you can give a search term and it will scrape through all the pages and then give you the best deal based on what is the most discounted this you can see running in the background i've got it working i've done a version which utilizes arc pass and i'll show you that at the end and that means we can call it in the command line like this so someone runs through full code with you guys now so follow along and hopefully you guys enjoy this and you find it useful okay so let's get started so the first thing we need to do is have a look at the web page so i've come over here to amazon and under this black friday sale tab here i've just done a quick search or something we'll try something else we'll do a different one so you can see the space but if you take a look at the url we can actually remove the stuff at the end we get up our um information here and inside it we have the search term so we can actually just take this url and we can query it so i'm going to copy this and i'm going to put it into our code i'm just going to quickly just put this down here so it's nice and safe um but i'm going to get rid of the search term for the moment and i'm going to quickly just turn this into a f string so i can work with it as we go forward so i'm going to say search term there if i just add in our variable here and let's just say we need a plus sign in between those two just like we saw in the url so now i've got those in we just need to import the packages we're going to use i'm going to use request.html again for this one um if you saw my last video on amazon pagination we're going to be using that pagination to work with this as well um so i'm going to go ahead and import those so we know from requests underscore html and we're going to import html session and we're also going to use beautiful suit for so i'm going to do from bs4 import beautiful soup now if you don't have either of these installed you can pip install them and that will get that done so you can follow along so the next thing we want to do is we need to start thinking about um actually getting the data so i'm going to start by creating some functions right away so we can build us build our scraper up nice and easily with that so the first one we're going to do is we're going to sort called define our function of get data now this is the one where we're going to give it the um url and we're going to say that we're going to out of this function sorry we're going to return the soup variable the soup which is the all the html ready for parsing so i'm going to say r is equal to s dot get and then we're going to give it our url s being r sorry i've missed that s is equal to html session there we go so we can set our rs variable there so now we're going to say r is equal to s get the url and then we want to do r.html dot render now this is just going to render all the javascript on the page so we don't get blocked by amazon if you don't do this step you will probably get back something like amazon saying you're a bot so we want to do r.htm l dot render and we're going to give it sleep is equal to one just to give it a second to do its thing so now we want to do our soup which is equal to beautiful soup and we're going to give it our.html that's a bit confusing because what we're doing is we're taking the html we're rendering it but then we need to actually give it the html in text as opposed to the bytes value so we're going to put that there and we're going to be using the html parser you can use the other ones if you want to i just tend to like this one and then out of this function we're going to return soup so what we've done so far is we're basically saying if we give this function our url it's going to return all of the html for us that we can then pass through get the information we want out i've made a mistake there we just need to remove that from there that should be there okay so the next thing i'm going to do is i'm just going to test that this function works and i'm going to run my code but i'm what i'm going to do is i'm just bring up the terminal and i'm going to do python 3 in my case it might just be python and yours dash i for interactive and then this python file so what this is going to do is it's going to let us run our function in here and we can see how it works without having to change our code every time so let's just say get data and we're going to give it this url here because we've defined that already so if we run that we should basically get a print out of all of the html that comes back from that page which looks good to me i've done amazon quite a few times i know that this is good it will if you do this and you get something it'll come up quite quickly around here and i'll say are you a bot etc etc if you've done that your render hasn't worked so go back and have a look at that so now i know that this function works we can now move on to passing the html and making sure we get the right information out and then we can think about saving it so i'm going to write another function that's going to pass through the html and get the information that we're after now this isn't too difficult we just have to get keep checking forward with back and forth with the um actual inspect element tool on the web page which i'll show you in just a second but i'm just going to say get deals we're going to call this function now we need to give it our soup and this is what's going to come out of this function here so what we want to do is now we need to go to the web page and we're going to use this as an example i'm going to go to inspect element and i'll just make this big so we can all see bring it over here so what we're looking for is sort of like the main products um div or something like that so they're the one that has them all in so the easiest way to do this is to sort of highlight over one and then try and move out a little bit you can't quite find it you see these ones are sponsored they might be in a different place we're just going to go straight to this one then and we'll click around here and if we keep moving back up the tree you can see it's highlighting different things so you can see the difference between so you can see as i move back up the tree it highlights more and more things and somewhere around here we get the whole lot now if i go one more up one more up we should find the whole thing somewhere around about here nope bit further up there we go we saw it there okay so what we've got here is if i just close these ones down we can see that we have a div that highlights everything now this is basically where all the products are so we can go ahead and find this um this div to get the products out so let's have a look at this a bit further see what's under here okay so there's that one and if we scroll back up to the top we can get the first result here so we can see this first thing actually isn't a product so maybe we want to go a bit further down so i'm going to go into this one i'm going to see what comes up next okay so they all appear to have this data dash component dash type is equal to s search result so what we can do is we can use beautiful soup to find all elements that match this data component.type and that will give us each and every one of these products and it will skip over this one which isn't so i'm going to go ahead and copy that and i'm going to come back to our code and it was i'm going to copy the whole thing just so i can remember and i'd have to come back to it all so this is what we're going to be doing so let's just give ourselves a bit of room so what we're going to say is products is equal to soup dot find all and it was a div now this was our data dash component dash type and the value was this s dash search dash result so that is going to go ahead and find all of the products on that page now remember when we run this function we're going to be giving it the soup that comes out of this function so we're going to run them in order so the next thing that we want to do is we want to loop through all the items that are within these products so we've the products with each and every single one but now we want to loop through each one within it so let's show you back on the tree so as we hit this one we then want to loop through all of the parts within it to get the information let's make that there we go so we're going to do four item in products and what i'm going to do is i'm just going to have a quick look and see what information we want what we might want to get out so i'm going to say we definitely want the product name here so that's under this span tag but what we might find actually is it's probably better to get it from i don't know we go it's under an a tag so the span okay so we can we can get this a we can get this link because we're going to want the link as well because when we get the results at the end if there's one that we want it we're interested in we want the link so we can just click on and go to it so i'm going to get this link here so i'm going to say it's an a tag with class that okay so we're going to say link is equal to a item dot find and it's an a tag and it was class and it was this and to get the actual attribute for the href we just do square brackets and href at the end like that and that will get us that attribute from that element so i think as well what we've got here is we can actually just ask for the text in this element because you can see although it has the the text is in this span there's no other text within this under this a tag so we can just ask for it here so if we can copy this again actually i'll just put this above it and we'll just say title here instead we're going to use the same element but instead of the href we're going to do dot text like that and i'm actually going to do dot strip after this one as well strips away any of the white space now a little trick that i find quite useful because as you can see amazon product names are super long as i like to chop them up just so we can get them into a bit more of a readable form so i'm going to come underneath here i'm going to add this in again and i'm going to say short title let's put an underscore under there and i'm just going to put in i think this will work we can say we want everything up to the 25 characters we'll try that and see what that looks like so i'm just going to print those out for the moment so we're going to say i'm going to print out the short title for reasons i just discussed and then the link so i'm going to save that and now if i come back to my python interactive terminal like we just did a minute ago with python 3 in my case or could just be python in yours i'm going to run we need to run our first function which is our get data on our url but we need to save that into a variable so then we can give it to our get deal so i'm just going to say soup is equal to get data and we'll give it the url the same one that we've defined up here we'll let that run and now we're going to do get deals and we're going to say put the soup in there so now when we run that it's interrogated all that html and we can see that we have these the names of the products you have chopped the product name up maybe 25 is a bit too aggressive but you get the idea there should be enough information in the first 25 characters so that works good so we want to go press on and get more information so what else did we want out of here well we definitely want the price but we want the old price and the new price so i'm going to use this one as an example again and hover over the price we can see it's split up here but what we can do what we can actually see is if you look on this side of the screen try to make that a bit bigger it doesn't disappear off i'll just move this over i wonder why that isn't being so responsive that's interesting um we can see that although it splits out here there's a bit above that says this span class off-screen with 13.99 so we could just go ahead and get that and if i show you under here if you come to the the one that's crossed out we can see there's another one here span class a off-screen so what we can do is we can actually just try and find both of these with a find all and just index them so the first one is the new price and the second one is the old price so let's give that a go so i'm going to say the first one was the new price let's say new price actually i'll call it sale price and we're going to do item dot find and i forgot on what sort of element it was it's a span and the class was a off screen i'm going to do text and dot strip i'm actually going to do let's do dot replace first because i'm going to remove the pound symbol we don't really want that especially if we're going to put this information into a csv at the end we don't want the pound symbol get in the way and then i'm going to do dot strip like that okay and then we can copy this all again and we can do old price um but i've just noticed actually we need to do find all because as i said we're going to be indexing these so after here we need to do let's do the first one which is a zero and then the second one so if that's worked let's do print um sale price old price and let's run it run our code again just real quick to make sure that this works okay so we can come back to our interactive terminal interactive python i can say get data we're gonna say soup get data url let this run don't touch any keys because you get some funny characters and then get deals okay just copy that can we okay so that doesn't work so list index out of range okay so i think what that means is it's not finding yeah here we go so this is the problem i think the first one it's coming across did we get any out did we get anything out no so i'm going to do um so i think maybe the first one that's coming out what this one is coming across isn't a um doesn't have a sale price so i'm going to do this i'm going to put try in here so we're going to try and do this and if that doesn't work we're going to do accept and we're going to say old price is equal to and i'm going to copy this again except i'm just going to do dot find because we're not going to index this one and we're going to put that in there so we're going to try and run that again so let's close this and do the same again and soup equal to get data url and then get deals okay that worked so you can see somewhere um it failed because there wasn't the uh exact element see this one matched 1299 1299 so that meant that that element we were looking for before wasn't actually there so this is a good way to work out um if you get a list index out of range because it's because it can't find it so go ahead and check where you're looking and if you're in definitely in the right place try a try and accept like i've done here that might help you get through it okay so the next thing we're going to do is let's say um a good checker i like to do on amazon is to see how many reviews it's got just so we can kind of work out whether it's a actual selling product or not and we can see there's a number right here in a span class so i'm just going to get that and again i'm going to put this into a try and accept because i think it's likely that some won't have any reviews so we're going to say reviews is equal to item.find and it was span and again class again dot text and dot strip because why not and then we want sorry we want accept and we'll say reviews and we'll give it a zero so that we know there are no reviews for that product so i think that will do for the information collecting for this one we've got one two three four we've got enough bits of information anything that you see on here you could though go and get so if you wanted to say i want to know if this is good because i can get it for thursday you could get this information out or you can see that some of them have this but i'm actually going to run this calculation myself based on the two prices i think that's going to be a bit more reliable um to check for it so what we want to do now is we want to create a dictionary with all of these all of this information in for um for putting into a list and then then using at the end and you can see that's why i've got all of these yellow underlines because in our function we're getting this but we're not doing anything with it which is why it's telling me that so i'm going to say sale item is equal to and we're going to create a dictionary you can build it in up here if you want i do that sometimes sometimes i like to keep it down below a bit separate just to separate everything up if they get quite long like this i'm going to say title needs to be a key title and i will say short title short title i can't remember what they are called now oh yeah link link just making all the keys and the values sale price sale price uh old price that's not very good name should be real like normal price so maybe i don't know reviews reviews perfect so now that's done let's print out our sale item like that and now we're going to run this again same as before get data give it the url and then do the get deals on our soup okay that works perfectly you can see we now got the title short title link and the two prices and the number of reviews and we've got a dictionary for each one of those items that's worked nicely for us so i'm going to create a list and i'm just going to do it out i'm going to do at the top outside of my functions it's just easier this way for me and i'm going to call it a deals list sure why not and now we can do our deals list dot append our sale item so when this is finished running we get a list of all of these items right so now we've actually done getting the data from the page which is our extract if you like we've done getting the all the information from the page it's our pass or transform so now we need to do i actually missed a return off the end of this just put that in put that in the right line just so it's neat collapse that one down so now we need to do our getting our next page now i did do this in my last example um in my last video i'm going to go into i'm going i went into it in more detail there but basically what i do is at the end of each page we scrape the information and we see if this next button exists so if we hover over it here we can see we have this button and it's got a link in it if that exists we get the link and we run our functions again on that link all the way up until the end page which i'll just quickly show you now i think it's 20 so let's just make these 20 and we can see if we come to the bottom our next button is gone and it's just turned into a item here so what we're going to do is we're basically going to say if we find this we're going to break out of our loops i will show you how i do this so i'm going to say we create a new function for this as well so i'm going to say get next page and it's going to need the soup that we are scraping so the information that comes out of here let's make that neat so we're going to take that and we're basically going to look for that element so i'm going to say pages is equal to soup.fine and it was an li and it had a class of a dash pagination and i'll show you that's down here so what i'm doing is basically just coming to this uh it's not an airline or it's a ul on an unordered list i'm just coming down to this task just because i'm looking for list tags li tags and there could be loads of those on the page i'm just gonna basically go here first and then find this so that was a ul sorry and now within that we can say if not pages dot find and this is where we're putting our li tag with class um i think it was i'll show you here this one so let's copy that so we're basically saying if this doesn't exist carry on but with and if it does we're gonna break out so if not that we can do we need to create the url so we can say our url is equal to and we want to do so we want to do that again and then we're seeing down here we want to get the a tag within it and then the ref so we can say dot uh find and then the a tag and then the h ref like this so we're just chaining them together so we're basically saying look in this um look in this list item with this class and then find the a tag within it and that's the href now i need to construct this into a full url you see here it's only a partial one so we just need to add the first part to it so i'm just going to copy that there i'm going to say it's now equal to that and it actually has the slash in it and then plus and i'm going to turn this all into a string just so there's no issues there and that should work for us and if that if that works we're going to return the url from our function and otherwise just move this over so you guys can see we're going to return nothing so what we can do with this function is we can say we're looking for the next page button if we find it we are going to return it if we don't find it we're returning nothing and when i run my while loop you'll see that working so now we can actually start to think about constructing our let's get out of that now we can actually think about starting to construct our actual code together so what we're going to do is we're going to get the data from each page we're going to pass the information we want from it then we're going to see if there's another page and then we're going to do the same thing for that so i'm going to use a while true loop because we want it to run indefinitely until we decide that we're going to break it and at what point we're going to break out of that loop so i'm going to say data is equal to get data and the url that we're going to give it so at the moment this is still our url but we'll incorporate that in in a minute and then we're going to say get deals with our data and now we're going to say url is equal to next or did i say get next page and we're giving to give it our data again so i've called it data down here we could call this we'll call it suit because that's what we've been calling it all along just so we're consistent so we're running our functions in order that we created them we're getting the data passing it then we're looking for the next page so we're saying if this function here returns a url because we're saying if you find it like i just explained we're going to do we're going to carry on but if it doesn't return a url so if it's if it's none essentially so if not url we're going to break out of our loop else we're going to i'm just going to say i'm just going to print the url because i can see that it's working i also can see the next page number on the end of it and we're going to print the length of the deals list as well so that number will just tick up so we can just check that it's actually adding more on as it goes through as opposed to getting stuck somewhere so we can now test it and i've done a lot of coding without actually without testing any of it so far so we're bound to get some arrows but we can see what they are and we can fix them so let's run this and hopefully we get some output okay here we go so none type has no attribute fine so it's not finding the um element that we're looking for so let's just go ahead that's because i was looking here you see this matches so we're saying that if this element doesn't exist and it's got to it and it's gone okay it doesn't what draw me to do you want me to find this element okay well that's not gonna work so we need to get rid of that part and it's a last so i was looking i wasn't looking for this tag here i was looking for a different one which was the one at the end which is why we weren't getting any urls back so let's try that again okay and it's loading up so we can see that the page just pops up page one you see it there i think it comes in here as well two three that's right because we start on page one three and we ended up with 44 results and what was my search term dslr plus card that's probably going to have quite low numbers because that's not really what you'd ever search for but i suppose you could and we have three pages so that has worked so we're now missing just one part of our code left so we have our getting the url and getting the data we have our passing it and we have getting the next pages and doing all of those together so when that's all finished and we break out of this loop we need to do something with that data so i'm going to do is i'm going to import pandas as pd pandas is great for this sort of thing the data frames are excellent they're really easy to export to csv and you can if you've constructed your data like i have here you can just dump your list into it and it will work perfectly so i'm going to say df is equal to pd dot data frame to construct our data frame let's move that up and i'm going to give it our deals list and then i'm going to print df.head so we can see that working i'm going to keep this search term because it was low page number again so we can just quickly zip through it and we'll be able to see what it looks like in this data frame when it finishes running cool so we can see that we've got all of the information lined up here now if you look on this side of the screen we've got the sale price and the old price what we can do is we can use pandas to add in another column and we can basically say what the difference is in percentage of these so we can just do a little bit of maths i'm going to do that just under here so i'm going to say then df and i'm going to say percent off and we're going to because this is adding a new column so to get the percent off we need to divide the old price by the new price and times it by a thousand but that will give us the other end of the scale so we need to do 100 minus that so you'll see what i mean so we'll just do a hundred minus and then we want df dot uh what did i call it um sale price sale price and oil price so sale price and we want to do that divided by df dot uh old price so this is taking everything from that row in that column and dividing it by the other one and then we want to times that by a thousand a hundred to get our percent and then we're going to take 100 off of that so if i run it the other way around if it was um you wouldn't get the percent of you'd get the percentage of so it would be not 20 off it would say your sale price is 80 of your old price so we just want it the other way around so when that runs what we want to do is we want to then structure our data frame so we can output it in reverse order so the highest the number with the highest amount off is at the top so you can just put into this say oh you know it's black friday i really want to buy some sd cards tell me what the best deal is so you can just check it out and see and it'll just be right at the top of your list so to do that we do um df equals to df.sort uh values and then we can just do by is equal to and the column name which is this one and then we want to do ascending is equal to uh false so i want it descending let's try that i'll save it and let's run it and find out where i've typed something wrong and the error is so we can just you know instead of actually just looking through it and troubleshooting it we could just run it and wait till we find a problem to fix there we go right so that's coming through okay so what we've need to do now is we need to go back to our passing because what we're doing is we're actually sending strings with the price so because i've removed all of this stuff already we can just put float around both of these and what that means is it's just going to turn this into a floating point number which is a decimal point number basically so we can then use mathematics on these numbers i should have done this earlier it's always a good practice whenever you're using whenever you're scraping numbers to actually turn them into integers or floats just to make your life easier at the end so that should be good enough and let's try that again there we go so we can see it's probably behind me now it's just about here so we can see that we've got this product which has the most percent of 57 50 off um but these ones all have no reviews so they're probably sponsored or something like that but it might be worth a go so now that we've done that and that actually works i'm just going to collapse this out of our way again so now that we've got this working i'm just going to export this instead of printing it and i'm going to say df.2 let's csv and i'm going to call it just going to hard code it for the moment bf deals dot csv and index is equal to false because we don't want the pandas index in our csv file and then i'm just going to add a print statement at the end because i'd like to and that will do so this is all well and good i'm just going to run this and we'll check the csv file fantastic here's our csv file let's make this so we can see and we can see here that we have the long name the short shortened name now you can make this however long you want i just like to do it this way sale price oil price and the percentage off so we can see that this one was 14.99 and there's now 639 however i don't know this has come up for whatever reason but um if you're actually searching properly and not some stupid term like what i did you might find this deal to be really good a canon speedlite 430 ex3 for almost 50 off that's pretty decent or maybe this this scan disk extreme pro is a memory card and it is 42 percent off and we could just copy the url here and go back to our amazon we just paste it at the end and there we go we found it so this looks like it could be quite a good deal for somebody that's interested in this sort of thing so that's basically it this is the first part of it now you could go ahead and just use this code as it is you could um i'll have this on my github by the way i really will this time if you've followed me for a while you know i'm notoriously bad at that i really will have this and all you need to do is put your search term in here now remember you need to have a plus instead where the spaces are because we are putting that directly into the url so i'll try another one we'll see if we get a bit of a longer one let's have a look at um ssd card no ssd let's just do ssds and we're going to change the name down here so what i'm actually going to do actually whilst we're here is i'm going to put in a search term plus so we don't need to keep changing the nail to string around this as well actually i don't need to we'll just keep so we can put the search term in here and i'll put a dash there we go that will do nicely so we'd have to keep changing the name so let's run that probably going to get quite a few more results and more pages so we'll see how this fares oh no we've got an error again okay so this is cool because this is good so could not convert string to float and that's because we've hit a product that's got a really high value and you can see here that amazon has puts in a comma so i'm going to go and just deal with that really quick and we're going to do price and we want to just add in uh we'll put in another dot replace here and we'll just remove any commas that we come across okay so you can see let's move that over i really don't like these get really long these lines i know you can split them out over different lines but yeah you get the idea so all i'm doing is i'm just replacing the comma from it as well so i'm going to put that into all of these there we go let's run that and again that should work now okay that one ran and we got 154 results this time let's open up that csv file and we can see here we go um updated version of a wireless mouse that must be an ad that's great so we can see right away review zero you could filter that out nice and easily we could filter that out in pandas with our data frame as well we can see this one here kingston a nvme pcie card 68 off and we can just visit that real quick right here paste it after the amazon bit and we can see it there so you could actually refactor the url properly so you could click on it if you like right so you get the idea and this is code is it's good it's ready to use by all means have a have a play around add in some more information have a look see what you think maybe you can make it better there's certainly a lot more things we could do with the data frame with pandas a lot more analysis but i thought this was quite a cool product project to get hold of especially since it's now pretty much black friday's upon us if you're watching this afterwards it's probably still quite a cool learning exercise the last thing i'm going to do is i'm actually going to put in uh arc parts now what that is is it's a python package that lets us easily turn this into a command line python program so when you saw me at the start i typed in python 3 then the name of the file and then some terms afterwards some arguments it took those into the code and ran it so a lot of if not all of the command line tools you will ever use on on linux or whatever they work this way and we can actually start to build our python programs like this as well it takes a few lines of code at the top and what we're going to do is we're basically going to say whatever we put in to our arguments in our command line is going to become the search term so let's just comment our search term out not there up here and we're going to say we're going to import arg pass our pass and now we just need to do a few things so we want to set up the description so we can run the help command on our code and we can put in a description telling the user what they need to put after it and then actually the the information itself so i'm going to say my parser is equal to arc pass dot argument argument pass there we go and let's give it a description so description is equal to um let's say return black friday amazon now if you're not sure where this is going to come up i'll show you at the end but just stick with me for the moment and then we can say my passer dot should have called this something better than my parser and we can say add argument can't spell there we go and we're going to say the argument we want to add in is search term and we'll just give it a meta variable of search term again this is just for the help file and stuff like that and it needs to be the type is a string so it won't take in numbers which is good and the actual help term will be saying uh uh what should we call it um oh let's just say the item to be searched for and i'll just say here i'll just put in use plus for spaces cool and finally we just do args is equal to my parser and we do dot pass arguments like that so that will take them in and now what we can do is that instead of our search term being hard coded we can say search term is equal to the args we're putting in the arguments dot search term which is what we've called it up here so that i'll put this above here like that and then we'll move that down one so what we're saying is that we're basically just creating it creating our description and we're saying we're adding an argument so this must be given when we run this code and this is some information to help and then we're saying the search term which is what we're putting in here is the search term that is given to this code now if i haven't done any of this wrong we'll be able to go to the file in the terminal so we open up our terminal we can now do python three let's make that a bit bigger so you can read this side and we called it bf deals dot pi and we run that we should get following arguments are required and we can see that we have a usage here we can do dash help so we can say python3 bf deals dash h and it will say what we put in so it says here return black friday amazon deals search term this is the item b search or use plus or spaces so we can now do python 3 and we can say bf deals and what should we look for this time let's do dslr plus camera and we can see that that is going to take that argument in it's going to put it into the search term part over here in our url and we're going to go ahead and get those data back this is quite a cool way of basically taking your scripts up to the next level there's quite a lot to it and it's this is kind of just touching the surface but you get the idea here you can have multiple arguments as well um lots of different things you can shorten them so you could do you can just call them with flags as well so which is quite cool although this one needed to be a string obviously so i'm just gonna let this run and i'll show you what it looks like at the end but basically that's it guys so quite a long video on this case um it's a lot of stuff that i have covered before so if you like this sort of video and you like this sort of content definitely check back through my other videos you'll see a few more amazon ones i'm actually creating an amazon scraping playlist as well which you can look up that the code will be on my github so you can go ahead and grab that and you can play with it yourself you can create this yourself or just use it by all means um i'll show you the file we just got out and this is the file that we just got back out and we can see that this is that for the search term that we just ran and not too many cameras on here lots of accessories but you get the idea so that's it guys hopefully you've enjoyed this one maybe you found it useful let me know what you thought obviously like the video if you like it consider subscribing there's more of more of this on my channel more to come and i will see you guys in the next one thank you very much goodbye

Channel: John Watson Rooney

Views: 5,429

Rating: 4.9447002 out of 5

Keywords: web scraping with python, python web scraping, web scraping amazon, extract amazon data, amazon deals, scrape best amazon deals, python coding tutorial, web scraping lesson, web scraping tutorial, learn web scraping, how to web scrape, learn python, amazon scraping, scrape to csv, web scraping projects

Id: hftDoPXyvFc

Length: 41min 50sec (2510 seconds)

Published: Wed Nov 25 2020