Docker container image built with Jupyter Notebook and Tabula for PDF scraping. Includes an example notebook to help you get started.

Repository hosted on GitHub at aeksco/jupyter-tabula.

Docker container image hosted on Docker Hub at aeksco/jupyter-tabula.

docker run -it -p 8888:8888 aeksco/jupyter-tabula

The Example_01.ipynb opens a single-page PDF and parses the table contained within.

Use the following instructions if you want to modify this Docker image and push a different copy to DockerHub.

1. Create a new Dockerhub Repository named jupyter-tabula.

2. Build the Docker image by running the following command in the jupyter-tabula directory:

docker build -t jupyter-tabula .

3. Test the image locally with the following command:

docker run -it --rm --pid=host -p 8888:8888 jupyter-tabula

4. Tag the image and push to Dockerhub:

docker tag bb38976d03cf your_docker_hub_username/jupyter-tabula:latest
docker push your_docker_hub_username/jupyter-tabula

I would recommend this container image for testing and hacking purposes. This image is a bit heavy (2.02GB) since it extends the tensorflow/tensorflow container image. This was done mainly to save time since the Tensorflow container already has all the relevant dependencies installed and configured.