codingforentrepreneurs/Web-Scraping-with-Django-Celery

Learn how to schedule regular web scraping, save the data, and more with Django & Celery.

40
/ 100
Emerging

This project helps developers build systems that automatically gather data from websites at regular intervals. It takes instructions on what data to extract and from where, then stores the collected information in a database. This is for Python and Django developers who need to implement robust, scheduled web scraping functionalities within their applications, typically for business intelligence, data analysis, or content aggregation tasks.

No commits in the last 6 months.

Use this if you are a Django developer needing to integrate reliable, scheduled web scraping into a web application, handling data storage and task management.

Not ideal if you are looking for a no-code solution or a simple, one-off script for basic data extraction without needing a full application framework or scheduling.

web-data-collection automated-scraping data-pipeline-development backend-development scheduled-tasks
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

33

Forks

10

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 18, 2024

Commits (30d)

0

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