Top 50 in Github

import requests
from bs4 import BeautifulSoup
import json

defget_top_projects():
 url ='https://github.com/trending'
 response = requests.get(url)
 soup = BeautifulSoup(response.text,'html.parser')
 project_list =[]

 projects = soup.select('article.Box-row')
for project in projects[:50]:
 project_data ={}

# Get project name
 name_elem = project.select_one('.h3')
 project_data['name']= name_elem.text.replace(' ','').replace('\n','').strip()

# Get project description
 desc_elem = project.select_one('p')
if desc_elem:
 project_data['description']= desc_elem.text.strip()
else:
 project_data['description']=None

# Get project URL
 link_elem = project.select_one('.h3 a')
 project_data['url']='https://github.com'+ link_elem['href']

 project_list.append(project_data)

return project_list

defsave_to_json(data, filename):
withopen(filename,'w')as f:
 json.dump(data, f, indent=4)

if __name__ =='__main__':
 projects = get_top_projects()
 save_to_json(projects,'top_projects.json')

pip install bs4 requests
python top_50_in_github.py

[
 {
 "name": "pytorch-labs/gpt-fast",
 "description": "Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.",
 "url": "https://github.com/pytorch-labs/gpt-fast"
 },
 {
 "name": "dangeng/visual_anagrams",
 "description": "Code for the paper \"Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models\"",
 "url": "https://github.com/dangeng/visual_anagrams"
 },
 ...
]