WEBVTT

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Okay, everyone.

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I hope you gave it a little.

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Try to try and get the job description text in here.

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And now I'm going to show you how simple this to get the job description text.

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We just I'm just going to go and select, inspect the element and click on the text here.

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And here we can see that it is a HTML section element with an ID of posting body.

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Now, until now we have mostly been using CSS classes to select elements which is have which has a dot

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in front of the class name.

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But now since we're using a CSS ID, we need to have the hashtag sign in front to select it.

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So by that I mean you just need to write out the dollar sign and then posting body.

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Dot text.

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And then we get all of the text of this element.

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So remember to use the hashtag sign when you are selecting an element by the ID, And now we can use

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this then to select all of the job description text and put it on to the element or the object as a

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job description Property.

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So let's go ahead here.

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And then inside the loop, we will say we first need to load the HTML into Cheerio.

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So we say const dollar sign equals cheerio load HTML.

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And that's the same process as we did up here for scraping the listings.

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Now we're just doing it for each of the pages with the job descriptions and then we can say const posting

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body.

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Or we can just say const job description.

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Equals dollar sign.

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And then we select the posting body and take the text from it, and then we can say and attach this

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property onto the listings object so we can say listings.

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On the I index, we can say the job description equals job description.

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So there we go.

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Now we should have all of the job descriptions onto these different listings.

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And let's let's also do let's also do a console log here of the listings job description, just to check

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if we are getting the right values in.

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So now let's try and run it inside Node.

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And you can see that it's going through each of these job descriptions.

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And if we look inside of the console, I can see there's a printout of all the job descriptions.

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So it all looks to be good up and running now.

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And we are still waiting one second between each request so we don't get blocked from using Craigslist.

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Now the next section, we are going to scrape the compensation from each of these job descriptions,

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the one we have right here.

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Again, I recommend you try and give it a go as a little exercise to try and scrape this compensation

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yourself.

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And then in the next section I'm going to show you how I would do it.

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So I'll see you in the next section.