Excel extractor

Extract excel form content into structured data.

Usage

  1. SECCF extraction: supplier export control classification Form/declaration
from py_excel_form_extractor import extractor, go

company_names = extractor.CompanyNameList()  # the company name which can be mentioned in the file
for company_name in ["Amazon", "Amazon Ltd"]:
    company_names.append(company_name)

extr = extractor.make_seccf_extractor("Example.xlsx", company_names)
extraction = extr.extract()

# convert to JSON string
extr_json = extr.to_json()

BUILD

  1. Building the go binary
go build -o gobinary ./cmd/excelExtractor
  1. Running the program without building the binary
go build -o ./bin/excel-extrator ./cmd/excelFormExtractor/main.go
  1. Run the binary:
./bin/excel-extrator

Local Python bindings generation and installation

pip3 install pybindgen wheel
gopy build --output=py_excel_form_extractor -vm=python3 ./pkg/*
RELEASE_VERSION=YOUR_UPDATED_PACKAGE_VERSION python3 setup.py bdist_wheel --force

# install wheel file
wheel_file=$(ls dist/*.whl | head -n1); pip3 install $wheel_file

Project links

Data verified by PyPI on Sep 6, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

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  • Released:
Latest release

1 maintainer

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Avatar for devansh.choubey from gravatar.com devansh.choubey

Credits

Author: Anurag Dhadse

GitHub Statistics

Data verified by PyPI on Sep 6, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python <3.15, >=3.14

Tags

go golang python excel xlsx form extractor

Classifiers

Report project as malware

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