![]() It puts each link on a separate line.Īt this point newsletter_links.txt if filled with all the links from all the newsletters, including stuff that I didn’t need. ![]() There is an “a” in the open because I am appending each link and not overwriting. The with is recommended because it automatically closes the file when it is done. Notice that I use with open to write the text file. for link in archive_links: page = requests.get(link) soup = BeautifulSoup(ntent, "html.parser") for a_href in soup.find_all("a", href=True): with open("newsletter_links.txt", "a") as linkfile: linkfile.write(a_href "\n") Get all the links from all the pages The last step is to get all the links on all of those newsletter pages and save them to a text file. Now I had a list of the newsletter links. When I was done I pasted the links back into python. So I deleted everything else and added quotes around the links and a comma after the links. I noticed that all the newsletter pages started with mailchi.mp. But at this point I figured it would be faster to do the work manually. You could instead append to a list in python if you knew what the newsletter links started with. Then I deleted anything that didn’t look like a newsletter link. Since there are going to be more than just newsletter links in the newsletter-archive, I just printed them all out and pasted them into vim(but you can use any text editor). URL = "" page = requests.get(URL) soup = BeautifulSoup(ntent, "html.parser") for a_href in soup.find_all("a", href=True): print(a_href) I picked a random archive page from the internet just for demonstration purposes. ![]() Get a list of pages in the newsletter archive Get the html from the newsletter archive page. Import the packages from bs4 import BeautifulSoup import requests Now that you have the XPath you can select the button via a Python script and query the. But you can certainly do the same thing in a. Step 1: find the XPath - Get the XPath of the button: for that right open the page in Chrome click on it and select Inspect element - It will open the html file and right click on the highlighted line and select copy Xpath - Copy the XPath in NotePad. I tend to use jupyter if I am experimenting in python or making a quick script. ![]() I did all the python work in a jupyter notebook. And the best package for making url calls is Requests. The best web scraping package for python in BeautifulSoup. This is how I actually did it with python. This is a real world example so I wanted it to be fast and easy. The goal was to have a text file with the links so that I didn’t have to manually go through each newsletter. Recently I wanted to get all the links in an archive of newsletters. ![]()
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