This project was created to help academics and researchers more easily harvest book meta-data from the
Currently if a researcher queries the short title catalog for a specific term, all results are only exportable as an unstructured .html file without table tags present. This project aims to simply an otherwise manual workflow by allowing the researcher to convert .html extracts into an actionable tabular .csv format.
Supports Python >= 3.7.0
Place raw .html extract(s) in ./input_html
estc-parser can be installed and run via Poetry,
cd estc-parser
poetry install
poetry run chewfilescd estc-parser
pip3 install -r requirements.txt
python3 estc_parser/cli.pyFind .csv file with tabular results in ./output_csv
After submitting a query a researcher can export results using the Email/print/save button highlighted below.
Here is a sample of the raw unstructured .html export from our estc query.
Here we see the output of running the unstructured html above through estc-parser.
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