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        "author": "Peter Volf",
        "author_email": "do.volfp@gmail.com",
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            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Topic :: Database",
            "Topic :: Internet",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development :: Libraries",
            "Topic :: Utilities"
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        "description": "GraphScraper\n=================\n\nGraphScraper is a Python 3 library that contains a base graph implementation designed\nto be turned into a web scraper for graph data. It has two major features:\n\n1) The graph automatically manages a database (using either SQLAlchemy or\nFlask-SQLAlchemy) where it stores all the nodes and edges the graph has seen.\n\n2) The base graph implementation provides hook methods that, if implemented,\nturn the graph into a web scraper.\n\nYet another graph implementation - why\n-------------------------------------------\n\nThere are many excellent graph libraries available for different purposes. I started\nimplementing this one because i haven't found a graph library that is dynamic (i don't\nneed the whole graph in memory - or on disk - before i start working with it), that\ncan be used as a web scraper (to seamlessly load nodes and edges from some remote\ndata source when that piece of data is needed) and that keeps all data (the graph)\nautomatically up-to-date on the disk. GraphScraper aims to satisfy these requirements.\n\nExamples\n----------------------\n\nBesides the base graph implementation, the following working examples are also included\nin the library, that show you how you can implement and use an actual graph scraper:\n\n- `igraphwrapper`: Instead of web-scraping, this example is using an igraph_ graph\n  instance as the \"remote\" source to scrape data from.\n- `spotifyartist`: This example is using the Spotify_ web API to load artists and\n  edges are defined by Artist similarity.\n\nDependencies\n-----------------\n\nThe project requires SQLAlchemy_ or Flask-SQLAlchemy_ to be installed.\n\nIf you wish to use one of the included graph implementations, then please read the\ncorresponding module's description for additional requirements.\n\nContribution\n-----------------\n\nAny form of constructive contribution (feedback, features, bug fixes, tests, additional\ndocumentation, etc.) is welcome.\n\n.. _Flask-SQLAlchemy: http://flask-sqlalchemy.pocoo.org/\n.. _igraph: http://igraph.org\n.. _Spotify: https://developer.spotify.com/web-api/\n.. _SQLAlchemy: https://www.sqlalchemy.org/\n\n\n",
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        "keywords": "graph network webscraping sqlalchemy database db caching",
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        "name": "graphscraper",
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