a library for scraping things
Project description
A Python library for scraping things.
Features include:
HTTP, HTTPS, FTP requests via an identical API
HTTP caching, compression and cookies
redirect following
request throttling
robots.txt compliance (optional)
robust error handling
scrapelib is a project of Sunlight Labs (c) 2011. All code is released under a BSD-style license, see LICENSE for details.
Written by Michael Stephens <mstephens@sunlightfoundation.com> and James Turk <jturk@sunlightfoundation.com>.
- Contributors:
Joe Germuska - fix for IPython embedding
Alex Chiang - fix to test suite
Requirements
python >= 2.6 (experimental support for Python 3.2)
httplib2
chardet
Installation
scrapelib is available on PyPI and can be installed via pip install scrapelib
PyPI package: http://pypi.python.org/pypi/scrapelib
Source: http://github.com/sunlightlabs/scrapelib
Documentation: http://scrapelib.readthedocs.org/en/latest/
Example Usage
import scrapelib
s = scrapelib.Scraper(requests_per_minute=10, allow_cookies=True,
follow_robots=True)
# Grab Google front page
s.urlopen('http://google.com')
# Will raise RobotExclusionError
s.urlopen('http://google.com/search')
# Will be throttled to 10 HTTP requests per minute
while True:
s.urlopen('http://example.com')
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