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tweets-docker-pipeline reviews and mentions
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Building a dockerized ETL pipeline for streaming positive tweets
First, I created an app on Twitter and got my credentials (API key and Access Token). Then, I wrote the Python code for streaming live tweets, using tweepy with my Twitter credentials. I chose to stream the hashtag #OnThisDay (thought it would be interesting to get a daily notification of what happened years ago) and collected the tweet text and user handle.
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Automate your data processing pipeline in 9 steps ⚙️
I was really excited, though also a bit overwhelmed by all the things I had to set up for this project. In total, I spent five days learning the tools, debugging, and building this pipeline with Python (including libraries like Tweepy, TextBlob, VADER, and SQLAlchemy), Postgres, MongoDB, Docker, and Airflow (most frustrating part...). If you're interested to see how I did this, you can check out the project on GitHub and read this blog post.
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lorenanda/tweets-docker-pipeline is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of tweets-docker-pipeline is Python.
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