Scrape-Websites-with-Python-FastAPI-Celery-NoSQL

Learn how to scrape websites with Python, Selenium, Requests HTML, Celery, FastAPI, & NoSQL with Cassandra via AstraDB. (by codingforentrepreneurs)
Add to my DEV experience Python Fastapi requests-html Celery scheduled-tasks Cassandra cassandra-driver astradb
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Scrape-Websites-with-Python-FastAPI-Celery-NoSQL reviews and mentions

Posts with mentions or reviews of Scrape-Websites-with-Python-FastAPI-Celery-NoSQL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-17.
  • Python, NoSQL & FastAPI Tutorial: Web Scraping on a Schedule
    4 projects | dev.to | 17 Mar 2022
    When we write everything in the Python shell, it is easy to forget what we wrote or for things to get lost in context. Jupyter Notebook prevents us from having to exit out of the shell and rerunning it all. Even if you haven’t used it before, you’ll find that it’s very user-friendly as long as you’re familiar with Python. Jupyter allows rapid iteration and testing, making it extremely useful for our Cassandra model, and to scrape our web pages. Follow along our YouTube tutorial to scrape events using Jupyter. On our GitHub, you can also find other methods apart from Jupyter that you can use for every model.

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over 2 years ago

codingforentrepreneurs/Scrape-Websites-with-Python-FastAPI-Celery-NoSQL is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of Scrape-Websites-with-Python-FastAPI-Celery-NoSQL is Jupyter Notebook.

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