find()will be ideal for cases where
Posted: Sun Dec 22, 2024 10:31 am
find()will be ideal for cases where you are only looking for a single element - like the body tag. On our web page, soup.find(id='banner_ad').textwill give you the text of the HTML element of the advertising banner. soup.find_all()will be the method you will use the most in your web scraping adventures. Using it, you can browse all the hyperlinks on the page and print their URLs: Python Copy the code for link in soup.find_all('a'): print(link.
get('href')) It is possible to provide different arguments to find_all, such as regular expressions (regex) or tag attributes to filter exactly what you want. For more cool features, read the documentation ! HTML Parsing and Navigation with BeautifulSoup Before writing more code to parse the content, let's first look at the HTML rendered by the browser. Every web phone number philippines page is different. Getting the right data requires a little creativity, pattern recognition, and experimentation! Castlevenia 3 music screenshot in alphabetical order Our goal is to download a bunch of MIDI files.
But many are present in duplicate on this web page as well as remixes of songs. Except that we only want one copy of each song, and since we want to use this data to train a neural network to generate accurate and precise Nintendo music, we should not train it on different versions created by users. When you're writing code to parse a web page, you can use the developer tools available in most modern browsers.
Right-click on the element you are interested in and you can inspect the HTML code behind it and determine how to access the data you want through the code. inspecting code using browser developer tools Let's use the method find_all to iterate through all the links on the page. This time we'll use regular expressions to filter them. So we only get links containing MIDI files without parentheses in the text - which excludes all d
uplicates and remixes.
Create a file called nes_midi_scraper.pyand add the following code to it: Python Copy the code import re import requests from bs4 import BeautifulSoup vgm_url = 'http nsole/nintendo/nes/' html_text = requests.get(vgm_url).text soup = BeautifulSoup(html_text, 'html.parser') if __name__ == '__main__': attrs = { 'href': re.compile(r'\.mid$') } tracks = soup.find_all('a', attrs=attrs, string=re.compile(r'^((?!\().)*$')) count = 0 for track in tracks: print(track) count += 1 print(len(tracks)) The MIDI files will be filtered, and this will print the corresponding link tag, then the number of files filtered.
get('href')) It is possible to provide different arguments to find_all, such as regular expressions (regex) or tag attributes to filter exactly what you want. For more cool features, read the documentation ! HTML Parsing and Navigation with BeautifulSoup Before writing more code to parse the content, let's first look at the HTML rendered by the browser. Every web phone number philippines page is different. Getting the right data requires a little creativity, pattern recognition, and experimentation! Castlevenia 3 music screenshot in alphabetical order Our goal is to download a bunch of MIDI files.
But many are present in duplicate on this web page as well as remixes of songs. Except that we only want one copy of each song, and since we want to use this data to train a neural network to generate accurate and precise Nintendo music, we should not train it on different versions created by users. When you're writing code to parse a web page, you can use the developer tools available in most modern browsers.
Right-click on the element you are interested in and you can inspect the HTML code behind it and determine how to access the data you want through the code. inspecting code using browser developer tools Let's use the method find_all to iterate through all the links on the page. This time we'll use regular expressions to filter them. So we only get links containing MIDI files without parentheses in the text - which excludes all d
uplicates and remixes.
Create a file called nes_midi_scraper.pyand add the following code to it: Python Copy the code import re import requests from bs4 import BeautifulSoup vgm_url = 'http nsole/nintendo/nes/' html_text = requests.get(vgm_url).text soup = BeautifulSoup(html_text, 'html.parser') if __name__ == '__main__': attrs = { 'href': re.compile(r'\.mid$') } tracks = soup.find_all('a', attrs=attrs, string=re.compile(r'^((?!\().)*$')) count = 0 for track in tracks: print(track) count += 1 print(len(tracks)) The MIDI files will be filtered, and this will print the corresponding link tag, then the number of files filtered.