Web scrapping API for selected stores
StoreScrapper provides a convenient API to obtain product information from a variety of stores. Typical usage of the library is as follows:
#!/usr/bin/env python from storescrapper.stores import Sym for url, product in Sym.products(['VideoCard', 'Processor']).items(): print url if product: print product else: print 'Not available' print
- Obtain name, URL and price for many of the stores in the market in a straighforward way.
- Obtain only the types of products you need.
- Easily extensible with new stores and product types that plug-in into the existing framework.
- Leverage the power of asynchronous tasks using Celery to speed-up the scrapping process ten-fold.
- Never used Celery before? You can get up and running in minutes.
The easiest way to install storescrapper is using pip:
pip install storescrapper
Otherwise you can download the tar.gz source, extract its contents and install the library directly. But first let’s make sure everything works as expected:
python setup.py test
Don’t worry if you get a TypeError exception at the end, just make sure all the tests pass.
After that build and install the library (you may need superuser privileges for the second command):
python setup.py build python setup.py install
Using StoreScrapper in Linux
Install the RabbitMQ server with your distribution package manager (Fedora yum in this case):
sudo yum install rabbitmq-server
Note for Ubuntu users: The RabbitMQ server included with the distribution is extremely dated and incompatible, with the current version of celery / kombu. Install RabbitMQ from another source.
Install the StoreScrapper package:
sudo pip install storescrapper
In an empty directory, create a celeryconfig.py file with the following contents:
BROKER_URL = 'amqp://guest:guest@localhost/' CELERY_RESULT_BACKEND = 'amqp' CELERY_IMPORTS = [ 'storescrapper.store' ] CELERYD_CONCURRENCY = 20 CELERY_TASK_PUBLISH_RETRY = True
Open three terminals at the same time on this directory. On the first one execute:
On the second one execute:
celeryd -l info
On the third one open a Python shell and write the following commands to print the video cards and processors from Sym:
from storescrapper.stores import Sym for url, product in Sym.products(['VideoCard', 'Processor']).items(): print url if product: print product else: print 'Not available' print
In one or two minutes this will return all of the products in the store with the current products types. You can check the progress on the shell that is running celeryd.
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