WEBVTT 00:00.460 --> 00:07.090 So right now we are able to scrape the job titles and the job URLs from the first page. 00:07.090 --> 00:11.140 But how do we go about scraping all the other pages as well? 00:11.920 --> 00:13.420 It's quite simple actually. 00:13.420 --> 00:20.380 You just have to create a loop that changes the page number and the URL up here for the URL. 00:21.100 --> 00:25.630 So let's try and see if we can make a simple for loop here. 00:30.750 --> 00:38.850 So we say four and we say, let I be equal to one because it starts from page one, not from page zero. 00:40.250 --> 00:43.400 And then we go up until page 14. 00:45.440 --> 00:50.300 And then let's put all of our code inside of the loop here. 00:54.120 --> 01:00.150 And then let's make sure that we use this I variable inside of the URL. 01:01.110 --> 01:05.850 So I'm going to replace these, uh, quotes with a backtick. 01:05.850 --> 01:13.260 So we can just put the variable inside of the string like this by having a dollar sign and curly brace. 01:13.410 --> 01:15.630 Then let's put the I inside here. 01:16.860 --> 01:18.120 So that's it. 01:18.120 --> 01:22.770 Basically, now we are scraping all of the different pages on the site. 01:23.510 --> 01:29.090 Now, since we want to make a big array for all of the charts and not just a single page, let's create 01:29.090 --> 01:32.810 an empty array outside of the scope of the for loop. 01:32.810 --> 01:39.140 So let's call it all chops, and it's just initialize an empty array here. 01:43.910 --> 01:50.420 And then at the end of the loop, let's push the page data onto this array. 01:52.550 --> 01:54.980 So we can say all shops dot push. 01:54.980 --> 02:02.690 And then I'm going to use the spread operator to just copy the array into this existing array, or push 02:02.690 --> 02:04.370 it at the end of the array. 02:05.610 --> 02:06.780 At the end of the loop. 02:06.780 --> 02:11.790 Let's try and do a console log with all chops dot length. 02:11.820 --> 02:16.770 It should be around 325 items we get in this. 02:17.710 --> 02:21.130 Now let's try and run the code and see what we get. 02:26.840 --> 02:29.990 And we can see we get 325. 02:29.990 --> 02:35.600 So that means we do get all of the jobs from every of the 14 pages. 02:38.550 --> 02:43.650 Okay, so now we got all of the pages with all of the job titles and the URLs. 02:43.650 --> 02:49.320 But what about the job descriptions that we have when we click on the job? 02:49.350 --> 02:51.990 We also want to get all of this text here. 02:52.110 --> 02:56.130 So how can we get those and traverse even further into the site. 02:56.160 --> 02:59.070 Let's dig into that in the next section.