Your code can look something like this: ol = soup.find('ol', ) So you simply have to grab it and extract the href. Under each list category, there is one link that will link to the article. But you can see that these list elements are all under an ordered list element which class = "polite" and this is consistent to other news categories. However I checked another category and this class pattern won't be consistent to other ones. In this case, each article preview is in a list element with class = "css-13mho3u". To find the links, you need to analyze the html structure and find patterns. I clicked the Show More button a handful of times for the terrorism category and it just keeps going. You're probably going to want to put a limit to how many articles you want to pull at a time. How would I do this, especially given the format of the page? What do I do if the only way to see more articles is to manually select the "SHOW MORE" button at the bottom of the list? Are these capabilities that are included in BeautifulSoup?
Since I can scrape one article as long as I am given the URL, I would assume my next step is to find a way to gather all of the URLs under this specific category, and then run my above code on each of them.
SCRAPING NYTIMES FRONT PAGE HOW TO
The problem is, I need to be able to scrape all of these articles under the category, and I'm not sure how to do that. Soup = BeautifulSoup(req.text, 'html.parser') Here is the code that I have so far, which lets me scrape all of the text from one specific article: from bs4 import BeautifulSoup I am using Python with the BeautifulSoup package to help me retrieve the article text.
For example, let's say we want to look at all of the articles related "terrorism." I would go to this link to view all of the articles: įrom here, I can click on the individual links, which directs me to a URL that I can scrape.
I need to be able to scrape the content of many articles of a certain category from the New York Times.
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