ETK is a Python library for high precision information extraction from many document formats. It proivdes a flexible framework of composable extractors that enables you to combine a host of predefined extractors provided in ETK with custom extractors that you may need to develop for your application. It supports extraction from HTML pages, text documents, CSV and Excel files and JSON documents. ETK is open-source software, released under the MIT license.
- Extraction from HTML, text, CSV, Excel, JSON
- High-precision predefined extractors for common entities (dates, phones, email, cities, ...)
- Extraction of microdata, schema.org and RDFa markup
- Integration with spaCy for text processing
- Automatic identification and extraction of HTML tables containing data
- Automatic identification and extraction of time series
- Semi-automatic generation of Web wrappers
- Scalable execution and management of extraction pipelines
- Automatic provenance recording
| Operating system: | macOS / OS X, Linux, Windows |
| Python version: | Python 3.6+ |
- Create virtual environment (highly recommended)
python3 -m venv etk2_env
source etk2_env/bin/activate
- Install using pip
pip install etk
You can also install ETK Manually. Clone or fork this repository, open a terminal window and in the directory where you downloaded ETK type the following commands
pip install -e .
Load the spacy modules
python -m spacy download en_core_web_sm
python -m spacy download en_core_web_lg
To deactivate this virtual environment
deactivate
python -m unittest discover
ETK needs to be installed as python package.
python -m etk <command> [options]
For example:
python -m etk dummy --test "this is a test"
Build image
docker build -t etk:test .
Run container
docker run -it etk:dev /bin/bash
Mount local volume for test
docker run -it -v $(pwd):/app/etk etk:dev /bin/bash