Skip to main content

Graph implementation that loads graph data (nodes and edges) from external sources and caches the loaded data in a database using sqlalchemy or flask-sqlalchemy.

Project description

Downloads

GraphScraper

GraphScraper is a Python 3 library that contains a base graph implementation designed to be turned into a web scraper for graph data. It has two major features:

1) The graph automatically manages a database (using either SQLAlchemy or Flask-SQLAlchemy) where it stores all the nodes and edges the graph has seen.

2) The base graph implementation provides hook methods that, if implemented, turn the graph into a web scraper.

Yet another graph implementation - why

There are many excellent graph libraries available for different purposes. I started implementing this one because i haven’t found a graph library that is dynamic (i don’t need the whole graph in memory - or on disk - before i start working with it), that can be used as a web scraper (to seamlessly load nodes and edges from some remote data source when that piece of data is needed) and that keeps all data (the graph) automatically up-to-date on the disk. GraphScraper aims to satisfy these requirements.

Examples

Besides the base graph implementation, the following working examples are also included in the library, that show you how you can implement and use an actual graph scraper:

  • igraphwrapper: Instead of web-scraping, this example is using an igraph graph instance as the “remote” source to scrape data from.
  • spotifyartist: This example is using the Spotify web API to load artists and edges are defined by Artist similarity.

Dependencies

If you wish to use one of the included graph implementations, then please read the corresponding module’s description for additional requirements.

Contribution

Any form of constructive contribution (feedback, features, bug fixes, tests, additional documentation, etc.) is welcome.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

graphscraper-0.5.0.tar.gz (18.2 kB view hashes)

Uploaded source

Built Distribution

graphscraper-0.5.0-py3-none-any.whl (21.7 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page