HDX Python scraper utilities to assemble data from multiple sources

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mcarans from gravatar.com mcarans

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Michael Rans
  • Tags HDX , data assembly , data transformation , scrapers , tabular data
  • Requires: Python >=3.8
Classifiers
Report project as malware

Project description

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.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mcarans from gravatar.com mcarans

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Michael Rans
  • Tags HDX , data assembly , data transformation , scrapers , tabular data
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

2.7.1

2.7.0

2.6.5

2.6.4

2.6.3

2.6.2

2.6.1

2.6.0

2.5.9

2.5.8

2.5.7

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.4.1

2.4.0

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5

This version

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.5

2.2.3

2.2.2

2.2.1

2.2.0

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.9

2.0.8

2.0.7

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.9.9

1.9.8

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

1.9.2

1.9.1

1.9.0

1.8.9

1.8.8

1.8.7

1.8.6

1.8.5

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.9

1.7.8

1.7.7

1.7.6

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.9

1.6.8

1.6.7

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.2

1.5.1

1.5.0

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hdx_python_scraper-2.3.4.tar.gz (6.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hdx_python_scraper-2.3.4-py3-none-any.whl (50.6 kB view details)

Uploaded Python 3

File details

Details for the file hdx_python_scraper-2.3.4.tar.gz.

File metadata

  • Download URL: hdx_python_scraper-2.3.4.tar.gz
  • Upload date:
  • Size: 6.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-httpx/0.26.0

File hashes

Hashes for hdx_python_scraper-2.3.4.tar.gz
Algorithm Hash digest
SHA256 687205d2659b30d9b839eac2455e90e298435f2b66eea17d8f4bb9873e0b88aa
MD5 afb038b80ed1ef59aa923c97d9573b09
BLAKE2b-256 d8530f546b48e32e83009def70297ff9d90290f8a28b7f54f4a39e0d8407a87e

See more details on using hashes here.

File details

Details for the file hdx_python_scraper-2.3.4-py3-none-any.whl.

File metadata

File hashes

Hashes for hdx_python_scraper-2.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 38be4bb4a7ef7629f25142f6ca44710b950f5a4427f558b178fb9068ed93b340
MD5 c9aef1bf8ce008d058fee914f4b8f0dd
BLAKE2b-256 05ced885d24076f93e4041236b5d6ed8e05c430e00eff9b51998ec1a8e93e84f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page