A python based scraper for any data source.
Project description
# 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) git remote add heroku-staging git@heroku.com:pyscrape-staging.git git remote add heroku-production git@heroku.com:pyscrape-production.git Or make deploy
### Release 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hashes for pyscraper_framework-0.0.19.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b8feb7d120e7b420477e46f7e0010d8a414b326022e42ed5d110d3ae01da1d7d |
|
MD5 | 1be320b77d4c7a3b7105026219de8220 |
|
BLAKE2b-256 | 001bb9a332dd50257a9a8307be4ad74672612ab1fcee7fd937c399bb5c1e8456 |