Metadata-Version: 2.1
Name: amazon-page-parser
Version: 0.1.0
Summary: A library for parsing amazon pages.
Home-page: https://github.com/hyan15/amazon-page-parser
Author: hyan15
Author-email: qwang16@olivetuniversity.edu
License: MIT
Keywords: amazon scrape scraper
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Requires-Dist: parsel

amazon-page-parser
=====================

Currently supported detail fields are:
* title - Title
* author - Array of authors
* feature_bullets - Array of feature bullets
* book_description - description under offer information
* product_description - description under editorial review
* images - Array of images
* star - Average star of custom reviews
* reviews - Custom Reviews count
* rank - Sales Rank in top browse node
* categories - Browse nodes trees, multiple tree pathes are concated by ';'
* details - Details are key, value pairs.

Offer listing fields are:
* price - Product price
* shipping_price - Shipping price
* condition - Condition
* subcondition - Subcondition
* condition_comments - Condition comments
* available - Whether product is currently available, or needs pre-ordered
* prime - Whether shipping supports prime options
* expected_shipping - Whether shipping support expected options
* seller_name - Seller name
* seller_rating - Seller rating
* seller_feedbacks - Seller feedback count
* seller_stars - Seller stars count
* offer_listing_id - Offer listing ID


Installation
-------------

The simplest way is to install it via `pip`:

    pip install amazon-page-parser


Run Test
-------------

`pip install -r requirements-dev.txt`

`tox`


