pyscraper-framework 0.0.24

A python based scraper for any data source.

# pyscrape

### Setup Local Dev Install python, virtualenv and deps. To get started go [here](https://realpython.com/blog/python/flask-by-example-part-1-project-setup).

Once

Then: pip install -r requirements.txt

### Pushing to Production/Staging on Heroku (Don’t do this, ci should do this) This is an example of how a sample app would deploy. This shouldn’t be here. git remote add heroku-staging [e-mail]:pyscrape-staging.git git remote add heroku-production [e-mail]:pyscrape-production.git Or make deploy

### Release First, create a new pip package. This will bump the patch version and write it to VERSION. make package

Then, to push to the package to the repository: make release

### Usage Pyscraper is meant as a framework to help with the extraction, transformation and loading of data between sources.

To get started, create a new Python project and then pip install pypscraper-framework.

To run the app flask app frontend: pyscraper_flask To run the worker process: pyscraper_worker

The following two environment vars are required: ` export APP_SETTINGS='DevelopmentConfig' # name of the corresponding config class for this env. export APP_BASEDIR=$(pwd) # must point to directory containing your config file. `

A config file is also required. See config.py.example.