| Name | datalad-crawler JSON |
| Version |
1.0.2
JSON |
| download |
| home_page | |
| Summary | DataLad extension package for crawling external web resources into an automated data distribution |
| upload_time | 2023-05-26 12:26:37 |
| maintainer | |
| docs_url | None |
| author | The DataLad Team and Contributors |
| requires_python | |
| license | |
| keywords |
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| VCS |
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| bugtrack_url |
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| requirements |
No requirements were recorded.
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| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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Crawler
[](https://travis-ci.org/datalad/datalad-crawler) [](https://codecov.io/github/datalad/datalad-crawler?branch=master) [](http://datalad-crawler.rtfd.org) [](https://opensource.org/licenses/MIT) [](https://GitHub.com/datalad/datalad-crawler/releases/) [](https://pypi.python.org/pypi/datalad-crawler/) [](http://isitmaintained.com/project/datalad/datalad-crawler "Average time to resolve an issue") [](http://isitmaintained.com/project/datalad/datalad-crawler "Percentage of issues still open")
This extension enhances DataLad (http://datalad.org) for crawling external
web resources into an automated data distribution. Please see the [extension
documentation](http://datalad-crawler.rtfd.org)
for a description on additional commands and functionality.
For general information on how to use or contribute to DataLad (and this
extension), please see the [DataLad website](http://datalad.org) or the
[main GitHub project page](http://datalad.org).
## Installation
Before you install this package, please make sure that you [install a recent
version of git-annex](https://git-annex.branchable.com/install). Afterwards,
install the latest version of `datalad-crawler` from
[PyPi](https://pypi.org/project/datalad-crawler). It is recommended to use
a dedicated [virtualenv](https://virtualenv.pypa.io):
# create and enter a new virtual environment (optional)
virtualenv --system-site-packages --python=python3 ~/env/datalad
. ~/env/datalad/bin/activate
# install from PyPi
pip install datalad_crawler
## Support
The documentation of this project is found here:
http://docs.datalad.org/projects/crawler
All bugs, concerns and enhancement requests for this software can be submitted here:
https://github.com/datalad/datalad-crawler/issues
If you have a problem or would like to ask a question about how to use DataLad,
please [submit a question to
NeuroStars.org](https://neurostars.org/tags/datalad) with a ``datalad`` tag.
NeuroStars.org is a platform similar to StackOverflow but dedicated to
neuroinformatics.
All previous DataLad questions are available here:
http://neurostars.org/tags/datalad/
## Acknowledgements
DataLad development is supported by a US-German collaboration in computational
neuroscience (CRCNS) project "DataGit: converging catalogues, warehouses, and
deployment logistics into a federated 'data distribution'" (Halchenko/Hanke),
co-funded by the US National Science Foundation (NSF 1429999) and the German
Federal Ministry of Education and Research (BMBF 01GQ1411). Additional support
is provided by the German federal state of Saxony-Anhalt and the European
Regional Development Fund (ERDF), Project: Center for Behavioral Brain
Sciences, Imaging Platform. This work is further facilitated by the ReproNim
project (NIH 1P41EB019936-01A1).
Raw data
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"description": " ____ _ _ _\n | _ \\ __ _ | |_ __ _ | | __ _ __| |\n | | | | / _` || __| / _` || | / _` | / _` |\n | |_| || (_| || |_ | (_| || |___ | (_| || (_| |\n |____/ \\__,_| \\__| \\__,_||_____| \\__,_| \\__,_|\n Crawler\n\n[](https://travis-ci.org/datalad/datalad-crawler) [](https://codecov.io/github/datalad/datalad-crawler?branch=master) [](http://datalad-crawler.rtfd.org) [](https://opensource.org/licenses/MIT) [](https://GitHub.com/datalad/datalad-crawler/releases/) [](https://pypi.python.org/pypi/datalad-crawler/) [](http://isitmaintained.com/project/datalad/datalad-crawler \"Average time to resolve an issue\") [](http://isitmaintained.com/project/datalad/datalad-crawler \"Percentage of issues still open\")\n\nThis extension enhances DataLad (http://datalad.org) for crawling external\nweb resources into an automated data distribution. Please see the [extension\ndocumentation](http://datalad-crawler.rtfd.org)\nfor a description on additional commands and functionality.\n\nFor general information on how to use or contribute to DataLad (and this\nextension), please see the [DataLad website](http://datalad.org) or the\n[main GitHub project page](http://datalad.org).\n\n\n## Installation\n\nBefore you install this package, please make sure that you [install a recent\nversion of git-annex](https://git-annex.branchable.com/install). Afterwards,\ninstall the latest version of `datalad-crawler` from\n[PyPi](https://pypi.org/project/datalad-crawler). It is recommended to use\na dedicated [virtualenv](https://virtualenv.pypa.io):\n\n # create and enter a new virtual environment (optional)\n virtualenv --system-site-packages --python=python3 ~/env/datalad\n . ~/env/datalad/bin/activate\n\n # install from PyPi\n pip install datalad_crawler\n\n## Support\n\nThe documentation of this project is found here:\nhttp://docs.datalad.org/projects/crawler\n\nAll bugs, concerns and enhancement requests for this software can be submitted here:\nhttps://github.com/datalad/datalad-crawler/issues\n\nIf you have a problem or would like to ask a question about how to use DataLad,\nplease [submit a question to\nNeuroStars.org](https://neurostars.org/tags/datalad) with a ``datalad`` tag.\nNeuroStars.org is a platform similar to StackOverflow but dedicated to\nneuroinformatics.\n\nAll previous DataLad questions are available here:\nhttp://neurostars.org/tags/datalad/\n\n## Acknowledgements\n\nDataLad development is supported by a US-German collaboration in computational\nneuroscience (CRCNS) project \"DataGit: converging catalogues, warehouses, and\ndeployment logistics into a federated 'data distribution'\" (Halchenko/Hanke),\nco-funded by the US National Science Foundation (NSF 1429999) and the German\nFederal Ministry of Education and Research (BMBF 01GQ1411). Additional support\nis provided by the German federal state of Saxony-Anhalt and the European\nRegional Development Fund (ERDF), Project: Center for Behavioral Brain\nSciences, Imaging Platform. This work is further facilitated by the ReproNim\nproject (NIH 1P41EB019936-01A1).\n",
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