PA API 4.0 shutting down October 31, 2019

[sacapuntas9]

Based on this info: https://webservices.amazon.com/paapi5/documentation/faq.html

it seems that the PA API 4.0 is being deprecated very soon; this was just announced today. Will this wrapper work at this time, and if not, what modifications are necessary to keep it working?

[tinohager]

For information on this project

The old Amazon Product Api is shut down on 31 October 2019

Documentation for the new API

• API Reference
• Product Advertising API Scratchpad

[Cealtea]

Will this library be updated for the new API???
If not please let us know so we can switch away from it.
Thank you.

[iranzo]

Deadline has been moved to 9th March, but still would be good to get information about PAAPI 5

[Cealtea]

Amazon has its own SDK for Products API v5 now.
https://webservices.amazon.com/paapi5/documentation/quick-start/using-sdk.html

[sergioteula]

Hello everyone, I have created my own wrapper for the new release of the Amazon API. I hope it will be helpful. https://github.com/sergioteula/python-amazon-paapi5

[alefiori82]

Hi everyone.
I make a python wrapper for the new Amazon API. As bottlenose can use cache function to get and write results. You find the package at https://github.com/alefiori82/amazon-paapi5 or you can install from pypi at https://pypi.org/project/amazon-paapi5/

[alefiori82]

Hi everyone.
I make a python wrapper for the new Amazon API. As bottlenose can use cache function to get and write results. You find the package at https://github.com/alefiori82/amazon-paapi5 or you can install from pypi at https://pypi.org/project/amazon-paapi5/

I will upload a new version of the library in the next days to improve the cache reader and writer and override the objects returned by the calls. I will try to add also a wikibook for the documentation.

[carlosevi94]

It will still works on PA API 5 without updates?

[sergioteula]

It will still works on PA API 5 without updates?

No, it won't. But you can switch to my wrapper, I hope it would be useful. https://github.com/sergioteula/python-amazon-paapi5

[alefiori82]

The new version (1.1.0) of amazon-paapi5 has been released. You can download or clone the repository from github or installi it using pypi

pip install amazon-paapi5

The documentation is available at Read the docs
Send me also suggestions for further implementations using the issue page.
To support the development please visit the sponsor page.

[michaelx]

@dlo Thank you so much for bottlenose, it always worked great! Any plans to make it work with PA API 5? I’d like to avoid migrating back and forth between libraries.

[BorFour]

@michaelx It looks to me that bottlenose won't support PA API v5, unfortunately, so the alternatives so far would be to:

• Use Amazon's SDK. Apparently, you'd have to copy the source code as it seems that it is not available as a pip package
• Use the amazon-paapi5 wrapper
• Use the python-amazon-paapi5 wrapper

Looking at this document, not all the operations change, so maybe bottlenose keeps working just with those that remain the same.

[carlosevi94]

@michaelx It looks to me that bottlenose won't support PA API v5, unfortunately, so the alternatives so far would be to:

* Use [Amazon's SDK](https://webservices.amazon.com/paapi5/documentation/quick-start/using-sdk.html). Apparently, you'd have to copy the source code as it seems that it is not available as a pip package

* Use the [amazon-paapi5](https://github.com/alefiori82/amazon-paapi5) wrapper

* Use the [python-amazon-paapi5](https://github.com/sergioteula/python-amazon-paapi5) wrapper

Looking at this document, not all the operations change, so maybe bottlenose keeps working just with those that remain the same.

Amazon's SDK is available installing pip install amightygirl.paapi5-python-sdk

[BorFour]

@carlosevi94 You are right! I saw before but I was confused by "amightygirl", but reading the package description it looks like it is official

[alefiori82]

The amightygirl.paapi5-python-sdk is the official sdk of amazon. My wrapper is based on it and you can install with pip. I just simplified some calls, add some additional computed information to the Products returned and added the usage of the cache as in bottlenose.