At the command line:
$ pip install dateparser
Or, if you don’t have pip installed:
$ easy_install dateparser
If you want to install from the latest sources, you can do:
$ git clone https://github.com/scrapinghub/dateparser.git $ cd dateparser $ python setup.py install
Deploying dateparser in a Scrapy Cloud project¶
The initial use cases for dateparser were for Scrapy projects doing web scraping that needed to parse dates from websites. These instructions show how you can deploy it in a Scrapy project running in Scrapy Cloud.
Deploying with shub¶
The most straightforward way to do that is to use the latest version of the shub command line tool.
shub, if you haven’t already:
pip install shub
Then, you can choose between deploying a stable release or the latest from development.
Deploying a stable dateparser release:¶
shub deploy-egg --from-pypi python-dateutil YOUR_PROJECT_ID shub deploy-egg --from-pypi jdatetime YOUR_PROJECT_ID shub deploy-egg --from-pypi PyYAML YOUR_PROJECT_ID
Finally, deploy dateparser from PyPI:
shub deploy-egg --from-pypi dateparser YOUR_PROJECT_ID
Deploying from latest sources¶
Optionally, you can deploy it from the latest sources:
dateparser root directory:
Run the command to deploy the dependencies:
shub deploy-reqs YOUR_PROJECT_ID requirements.txt
Then, either deploy from the latest sources on GitHub:
shub deploy-egg --from-url email@example.com:scrapinghub/dateparser.git YOUR_PROJECT_ID
Or, just deploy from the local sources (useful if you have local modifications):
Deploying the egg manually¶
In case you run into trouble with the above procedure, you can deploy the egg
manually. First clone the
dateparser‘s repo, then inside its directory run
python setup.py bdist_egg
After that, you can upload the egg using Scrapy Cloud’s Dashboard interface under Settings > Eggs section.