Metadata-Version: 1.2
Name: inparse
Version: 0.1.1
Summary: Collaborative AI for  Web Scraping, Data Extraction and Crawling,Knowledge Graph 
Home-page: https://github.com/inparse/inparse
Author: Guojian Li
Author-email: guojianlee@gmail.com
License: BSD
Description: 
        In.parse
        =========
        0.1.0
        
        
        Open Collaborative AI Driven Parser builder for Web Scraping, Data Extraction and Crawling,Knowledge Graph
        
        
        Installing
        ----------
        
        Install and update using ``pip``:
        
        `pip install -U inparse`
        
        
        Parser Generator 
        -----------------
        
        http://inparse.com
        
        
        
        
        Motivation
        ----------
        1. Most painful thing of Web Data Extraction is to write parser rule. the Inparse try to 
        generate the parser by AI according the training web pages.
        2. Commercial Universal Parser work good in Statistics, but failed in my case .And blackbox to user. 
        Inparser create parser for special website ,web page category。And be correctable and improvable online by yourself.
        3. Open and free to create parser .Parser rule can be cached locally without remote server 
        if you have concern.  
        4. You will not be charged by usage. Run parser in your own CPU. 
         
        
        
        
        Example
        ===============================
        
        
        
        
        
        ```python
        from inparse import Inparse
        p=Inparse('b45beddc',  #parser no is generator by inparse.com parser builder.
                   'd50cb533f69b6a78892afbd093f95fc1')  #access token can be found in your user page  .
        
        
        d=p.parse_url('https://qz.com/india/1413291/trulymadly-ceo-on-how-dating-apps-like-bumble-india-must-localise/')
        Inparse.pretty_print(d)
        
        ```
        
        
        **Or parse in raw html**
        
        ```python
        
            from inparse import Inparse
            import requests
            p=Inparse('b45beddc',  #parser no is generator by inparse.com parser builder.
                       'd50cb533f69b6a78892afbd093f95fc1')  #access token can be found in your user page  .
        
            html=requests.get('https://qz.com/india/1413291/trulymadly-ceo-on-how-dating-apps-like-bumble-india-must-localise/').text
            d=p.parse(html)
            Inparse.pretty_print(d)
        
        ```
        
        Below is output of Article data extraction 
        
        ```
        
            {   'article_body': '<div><p>Last week, American dating app <a '
                                'href="https://qz.com/india/1413051/priyanka-chopra-invests-in-dating-app-bumble-to-rival-tinder/">Bumble '
                                'It’s from smaller cities. And varied people are coming '
                                'from different backgrounds. So that’s really '
                                'encouraging.</p></div>',
                'author': 'Kuwar Singh',
                'publish_date': None,
                'title': 'Young Indians are using dating apps for so much more than just '
                         'dating',
                'top_image': [   'https://cms.qz.com/wp-content/uploads/2018/10/AP_900509923043-e1538971405267.jpg?quality=75&strip=all&w=410&h=231']
            }
        
        ```
        
        
        
        More about Inparse
        ===============
        
              
        
        Contributing
        ------------
        You are welcome to port this SDK to Java, Go ,or any other programming languages.
        
        Donate
        ------
        
        
        Links
        -----
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6.5
