List trending Python repositories on GitHub today
Get today's trending Python repositories from GitHub with stars, forks and stars gained. Each row has the repository name, description, language, stars, forks and stars gained in the period. Switch the period or language to follow other topics.
Input
Output fields
Sign up on Apify or log in
The GitHub Trending Repositories Scraper - Stars & Developers Actor is ready to run with the inputs already set for "List trending Python repositories on GitHub today". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "List trending Python repositories on GitHub today" task
The GitHub Trending Repositories Scraper - Stars & Developers Actor will start running based on the input automatically. You can also change all the input fields, like what to scrape, programming languages, and more, to match your specific use case.
Receive the "List trending Python repositories on GitHub today" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as rank, full name, description, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "List trending Python repositories on GitHub today" task via API.
Integrate "List trending Python repositories on GitHub today" into your workflow
Connect "List trending Python repositories on GitHub today" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay
You pay per result: $0.001 per result on the Free plan (about $1.00 per 1,000). Paid Apify plans get lower tiered prices.
Edit languages, periods (daily, weekly, monthly) and mode (repositories or developers).
Yes. Add this task to an Apify Schedule and use onlyNew: later runs return only what was not reported before. The first run returns everything. Keep the same Monitor ID for each watch list.