Python articles published on DEV
DevilScrapes
Pulls articles tagged python from DEV with title, Markdown body, author, tags, reading time, reaction count, comment count and publish time. Developer advocates and content teams can see which Python topics earn reactions, or switch to an author or feed instead of a tag.
Input
Output fields
Sign up on Apify or log in
The DEV.to Scraper β Articles by Tag & Author Actor is ready to run with the inputs already set for "Python articles published on DEV". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Python articles published on DEV" task
The DEV.to Scraper β Articles by Tag & Author Actor will start running based on the input automatically. You can also change all the input fields, like listing mode, tag (when mode=tag), and more, to match your specific use case.
Receive the "Python articles published on DEV" 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 title, author, β₯, 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 "Python articles published on DEV" task via API.
