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A command-line and programmatic interface to various social sharecount endpoints.
Python Makefile
Branch: master

README.md

Social shares

Build Status

A command-line utility and Python library to access the social share counts for a particular URL.

Usage

Usage:
  socialshares <url> [<platforms>...] [options]

Options:
  -h, --help  Show this screen.
  -p, --plain  Plain output.
  -r <attempts>, --retry <attempts>  Retry fetching up to <attempt> times [default: 1]
  -e, --exit  Exit with an error code when not all counts could be fetched.

Some examples:

# fetch count for all supported platforms, 
# try again once (the default) for platforms that fail
$ socialshares http://www.kalzumeus.com/2010/06/17/falsehoods-programmers-believe-about-names/

# fetch only facebook and twitter
$ socialshares http://www.theguardian.com/politics facebook twitter     --retry 2

Supported platforms

Platform Description
twitter twitter tweets and retweets containing the URL
facebook facebook likes
facebookfql facebook likes, shares and comments (in that order; deprecated but supported until mid-2016)
linkedin linkedin shares
google google +1's
pinterest pinterest pins
reddit reddit ups and downs (summed across posts)

Platforms are fetched in parallel and retried (once by default.) If no platforms are specified, just facebook and twitter will be returned.

Output

By default, socialshares outputs JSON:

{
  "reddit": {
    "downs": 0, 
    "ups": 6
  }, 
  "google": 20, 
  "facebook": 1498, 
  "twitter": 300, 
  "pinterest": 1
}

Use the --plain flag if instead you'd like space-separated output.

$ socialshares http://www.theguardian.com/politics twitter
57

Usage from Python

import socialshares
counts = socialshares.fetch(url, ['facebook', 'pinterest'])

Installation

pip install socialshares
# optionally, for asynchronous fetching
pip install grequests

If requests_futures and (for Python 2.x) futures are installed, social-shares will use these packages to speed up share count fetching, by accessing the various social media APIs in parallel.

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