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In the first part of the solution,
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we managed to get our code to pull in the live stock data for the selected
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stock name.
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And then we looked at the difference in price between yesterday and the day
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before yesterday and then we worked out the percentage difference.
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Now we have this if statement which will print get news
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if the percentage difference is greater than a specified amount.
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Now, I've put right five here, just because ideally,
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if you were monitoring a particular stock,
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you'd probably only be interested if it changed by a large amount,
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like 5 or 10 or 50% set by you. But at the moment,
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because we're testing these things and the Tesla stock is only moved by one
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point something percent, then this is actually never going to be true.
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So I'm going to manually adjust this down so that we can continue working with
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the rest of the challenge. So now onto step two of the challenge,
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the first part is instead of printing get news,
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we're going to use the news API to get articles related to
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the company name. The news API is newsapi.org.
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And we can start by getting hold of an API key.
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Once you signed up, you should get a free API key
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and we're going to paste that into our project.
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Now we can start looking through the documentation and seeing how we can use
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this news API.
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There's a number of end points as we can see. There's top headlines and also
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everything. These are the two main end points.
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Now everything is better for article discovery
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whereas the headlines tend to only have a limited number of headlines.
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I've tested both of these
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and I found that the everything one is more likely to give us a news piece for
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stocks that we're looking for. Because very often a lot of these companies and
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their stocks don't actually make it to the day's headlines.
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So this is what the query looks like, this is the end point,
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and these are the parameters. Now, if we scroll down,
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we can see a number of request parameters; q
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which is the keyword or phrase the same in the article title and body, qIn
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Title is to search for in the title only,
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and then you can limit the sources or the domains
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which you want to search or exclude certain websites
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and you can also specify the date, time, language,
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and a number of other things. Now, the only required parameter is
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actually this API key. Now, in addition,
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we're probably gonna want to use one of these requests parameters.
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There's a lot of stocks that get lumped in into these analysis articles.
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So I think it will be more specific if we can actually check the title of the
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article for our company name.
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So let's get started putting this API to use. Up here
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we've really got the news end point,
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and we're going to delete this print statement,
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and we're going to use the requests library to get hold of some data from that
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endpoint.
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And then we're going to add our params. Our new params is firstly going to
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contain our API key and notice how it's spelled. When you are using parameters,
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you have to make sure that any capitalization or spelling must match their
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requirements exactly.
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So the API key is just going to be our news API key that we added previously,
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and then we're going to provide a queryInTitle as well.
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And I'm actually just going to straight up copy it because I'm not sure if that
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was an I or an L. That way we don't make any typos. Now,
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the query we're going to search for is actually our company name,
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because while we can search for the name of the stock,
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it's actually better to search for the company name because most articles tend
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to include the company name rather than the stock name.
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This is going to be the params that's going to go in here.
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Now we're going to get hold of our response
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and I'm going to print out the response as a JSON.
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All right.
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If you take a look at the documentation,
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they also tell you what an example output would look like.
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Firstly, we have a dictionary with status,
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total results, but most importantly articles,
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which is a list. In that list there's a bunch of dictionaries
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which contains things like the source, the author, the title, description,
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and each of these articles are an item in this list of articles.
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We can actually get hold of all the articles
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just by tapping into the news_response.json and then passing in the key
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articles. And now when I print that out,
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you can see its a list first of all,
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and then each article is a dictionary inside that list.
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Now we've managed to complete to-do number six and we can move on to
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to-do number seven,
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which is to use the Python slice operator to create a list that contains the
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first three articles. And as a hint,
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I've linked to the Stack Overflow page
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where they go through the slice operator in quite a bit of detail
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actually.
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If we want to only get the first three articles,
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then our start is probably going to be from the beginning and then we're going
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to loop to stop minus one.
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So that's going to be :3 because let's start counting from zero. Like
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that. And now if I print these three articles,
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right,
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to see them,
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if you click on this soft wrap and you can see the three items,
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one, two, and three.
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That's
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step two.
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Now we've managed to use the news API to get hold of the first three articles
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that talk about this particular company name. In the next lesson
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I'm going to go through the final part of the solution which is step three,
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and to figure out how to send the relevant parts of the articles to our mobile
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number.