Create a monthly open-source trend dataset

Created by

Fetch Cat

Actor

GitHub Trending Scraper

Export monthly overall GitHub Trending repositories for dashboards and trend archives.

Try for free

GitHub Trending Scraperfetch_cat/github-trending-scraper

Rank

Full name

Repository URL

Description

+16 fields

Input

Languages

Time window(required):monthly

Maximum repositories(required):25

Include README text:false

Proxy configuration:{1 field}

Output fields

Rank

Full name

Repository URL

Description

Language

Stars

Forks

Stars gained

Built by

Time window

Trending language

Trending URL

Scraped at

Snapshot key

Source

Parser version

README URL

README text

README truncated

Warning

How it works

Sign up on Apify or log in

The GitHub Trending Scraper Actor is ready to run with the inputs already set for "Create a monthly open-source trend dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Create a monthly open-source trend dataset" task

The GitHub Trending Scraper Actor will start running based on the input automatically. You can also change all the input fields, like languages, time window, and more, to match your specific use case.

Receive the "Create a monthly open-source trend dataset" 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, repository url, 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 "Create a monthly open-source trend dataset" task via API.