HDX Python scraper utilities to assemble data from multiple sources

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  • License: MIT License (MIT)
  • Author: Michael Rans
  • Tags HDX , data assembly , data transformation , scrapers , tabular data
  • Requires: Python >=3.10
  • Provides-Extra: docs , pandas
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Build Status Coverage Status Code style: black Imports: isort Downloads

The HDX Python Scraper Library is designed to enable you to easily develop code that assembles data from one or more tabular sources that can be csv, xls, xlsx or JSON. It uses a YAML file that specifies for each source what needs to be read and allows some transformations to be performed on the data. The output is written to JSON, Google sheets and/or Excel and includes the addition of Humanitarian Exchange Language (HXL) hashtags specified in the YAML file. Custom Python scrapers can also be written that conform to a defined specification and the framework handles the execution of both configurable and custom scrapers.

For more information, please read the documentation.

This library is part of the Humanitarian Data Exchange (HDX) project. If you have humanitarian related data, please upload your datasets to HDX.

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  • License: MIT License (MIT)
  • Author: Michael Rans
  • Tags HDX , data assembly , data transformation , scrapers , tabular data
  • Requires: Python >=3.10
  • Provides-Extra: docs , pandas
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