This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

This library allows you to programmatically convert web pages and HTML into images, PDF’s, CSV’s and spreadsheets. Additionally GrabzIt allows you to convert online videos into animated GIF’s.

+ As this example uses a callback handler it must be deployed to a publicly accessible web server.+

To run the sample

Open config.ini and change the three parameters to match your settings the first two parameters can be got from http://grabz.it/api/

The third parameter is the location you have placed the handler.py on your website.

applicationKey=APPLICATION KEY applicationSecret=APPLICATION SECRET handlerUrl=http://www.example.com/grabzit/handler.py

Ensure your application has read and write access to the “results” directory.

Finally run the index.py to start taking screenshots.

More documentation can be found at: http://grabz.it/api/python/

Release History

Release History

3.0.2

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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3.0.1

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Changelog content for this version goes here.

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3.0.0

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2.3.0

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Changelog content for this version goes here.

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2.2.2

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Changelog content for this version goes here.

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2.2.1

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
GrabzIt-3.0.2.zip (28.1 kB) Copy SHA256 Checksum SHA256 Source Nov 9, 2016

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