Metadata-Version: 2.1
Name: aliexpress-page-parser
Version: 0.0.7
Summary: Aliexpress page parsing tool.
Home-page: https://bitbucket.org/sfds-dev/aliexpress-page-parser
Author: Neal Wong
Author-email: neal.wkacc@gmail.com
License: MIT
Keywords: aliexpress scraper
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
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 :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
Requires-Dist: dukpy
Requires-Dist: parsel

aliexpress-page-parser
=====================

Currently only support product list page and detail page parsing. All fields use same encoding 'utf-8'.

Product List fields:

* products
    * product_id - Product ID
    * title - Product title
    * url - Product url
    * price - Product price
    * rating - Product rating
    * feedback - Product feedbacks
    * orders - Product orders
* next_page_url

Product detail fields:

* product_id
* meta_keywords
* meta_description
* title
* rating
* feedback
* orders
* breadcrumbs
    * name
    * url
    * cid
* specs - Array of specifications
* gallery_images - Array of image urls
* options
    * id
    * name
    * skus
        * id
        * name
        * img_url
* sku_products
* freight
    * company
    * currency
    * amount
    * time
    * tracking
    * service_name
    * send_goods_country
* store
    * id
    * name
    * url
    * top_rated
    * open_date
    * location
    * followings
    * positives
    * positive_rate


Content
-------------

* aliexpress_page_parser.product_list_parser.ProductListParser
* aliexpress_page_parser.product_detail_parsers.ProductDetailParser


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

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

    pip install aliexpress-page-parser


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

`pip install -r requirements-dev.txt`

`tox`