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Getting Started — tabula-py documentation

Getting Started Requirements Installation

Before installing tabula-py, ensure you have Java runtime on your environment.

You can install tabula-py from PyPI with pip command.

If you want to leverage faster execution with jpype, install with jpype extra.

pip install tabula-py[jpype]

Note

conda recipe on conda-forge is not maintained by us. We recommend installing via pip to use the latest version of tabula-py.

Get tabula-py working (Windows 10)

This instruction is originally written by @lahoffm. Thanks!

Example

tabula-py enables you to extract tables from a PDF into a DataFrame, or a JSON. It can also extract tables from a PDF and save the file as a CSV, a TSV, or a JSON.

import tabula

# Read pdf into a list of DataFrame
dfs = tabula.read_pdf("test.pdf", pages='all')

# Read remote pdf into a list of DataFrame
dfs2 = tabula.read_pdf("https://github.com/tabulapdf/tabula-java/raw/master/src/test/resources/technology/tabula/arabic.pdf")

# convert PDF into CSV
tabula.convert_into("test.pdf", "output.csv", output_format="csv", pages='all')

# convert all PDFs in a directory
tabula.convert_into_by_batch("input_directory", output_format='csv', pages='all')

See example notebook for more detail. I also recommend reading the tutorial article written by @aegis4048 and another tutorial written by @tdpetrou.

Note

If you face some issues, we’d recommend trying tabula.app to see the limitation of tabula-java. Also, see FAQ as well.


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