posh 0.2.1
Aspiring Poshmark bot/scraper/etc.
License: MIT license
Keywords: posh

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posh
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.. image:: https://img.shields.io/pypi/v/posh.svg
        :target: https://pypi.python.org/pypi/posh

.. image:: https://img.shields.io/travis/kcinnick/posh.svg
        :target: https://travis-ci.org/kcinnick/posh

.. image:: https://readthedocs.org/projects/posh/badge/?version=latest
        :target: https://posh.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status




Not-yet-totally-fully-featured Poshmark bot/scraper/etc. (now available on pip!)


* Free software: MIT license
* Documentation: https://posh.readthedocs.io.


Features
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* Build products from URL 
* Build products from search results
* Build products from arbitrary string searches
* Get images, size, brand, price, and more from products.
* Search with as many (or few!) arguments as you want!
* Insert product information into any database for long-term analysis
* Easily graph historical price information for any search.

Login
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Login is tricky - it works for me about 80% of the time.  I've found a few things that help - signing in on the website and then using the script seems to work sometimes, but other times it'll just lock you out until you solve a CAPTCHA.  This could be mitigated by using a professional service like 2captcha, but I'd like to keep this project light and not rely on things like subscriptions, so I'd prefer the chance of login failing than having to pay to make sure it works 100%. 


"Why isn't X a feature"
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Because I haven't thought of it, but I'd appreciate the suggestion!


Credits
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This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage

Development Goals
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As of now, my goal for this project is just to extend it out as much as makes sense by thinking of new ideas, methods, and functions that'd be useful or interesting.  Ideally, down the road this module could answer questions like "What was the average selling price of a new-with-tag Vera Wang dress over the last 6 months," which could inform you to buy one because it's relatively cheap or sell one because it's relatively expensive now compared to the average.  So, I don't really have definitive guidelines of where this will go.  That's the fun part!


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History
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0.1.0 (2019-01-01)
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* First release on PyPI.

0.1.1 (2019-01-17)
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* First cut at a functioning module.  Tests, docs & builds are passing and a decent amount of functionality has been added, so a small version update felt appropriate.  0.1.2 should bring some exciting developments!

0.1.2 (2019-01-20)
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* The module is indeed functioning! Added some new functionality like a skeleton for historical searching & plotting, strict searching, lots of bug fixes, fleshed out most of the remaining parts of the ProductSearch and Product methods, and increased test coverage.  Also did some cleanup work moving classes and functions to specific models instead of importing from one module.  Plans for 0.1.3 include finishing out the plotting methods, separating concerns re: tests, and maybe more.

0.1.2.1 (2019-07-02)
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* Got some more time to work on this again.  Small version update to fix tests and update code where needed to keep up with site changes made since last updates. Re-released to PyPi.