serpextract

serpextract provides easy extraction of keywords from search engine results pages (SERPs).

This module is possible in large part to the very hard work of the Piwik team. Specifically, we make extensive use of their list of search engines.

Installation

Latest release on PyPI:

$ pip install serpextract

Or the latest development version:

$ pip install -e git://github.com/Parsely/serpextract.git#egg=serpextract

Usage

Command Line

Command-line usage, returns the engine name and keyword components separated by a comma and enclosed in quotes:

$ serpextract "http://www.google.ca/url?sa=t&rct=j&q=ars%20technica"
"Google","ars technica"

You can also print out a list of all the SearchEngineParsers currently available in your local cache via:

$ serpextract -l

Python

from serpextract import get_parser, extract, is_serp, get_all_query_params

non_serp_url = 'http://arstechnica.com/'
serp_url = ('http://www.google.ca/url?sa=t&rct=j&q=ars%20technica&source=web&cd=1&ved=0CCsQFjAA'
            '&url=http%3A%2F%2Farstechnica.com%2F&ei=pf7RUYvhO4LdyAHf9oGAAw&usg=AFQjCNHA7qjcMXh'
            'j-UX9EqSy26wZNlL9LQ&bvm=bv.48572450,d.aWc')

get_all_query_params()
# ['key', 'text', 'search_for', 'searchTerm', 'qrs', 'keyword', ...]

is_serp(serp_url)
# True
is_serp(non_serp_url)
# False

get_parser(serp_url)
# SearchEngineParser(engine_name='Google', keyword_extractor=['q'], link_macro='search?q={k}', charsets=['utf-8'])
get_parser(non_serp_url)
# None

extract(serp_url)
# ExtractResult(engine_name='Google', keyword=u'ars technica', parser=SearchEngineParser(...))
extract(non_serp_url)
# None

Tests

There are some basic tests for popular search engines, but more are required:

$ pip install -r requirements.txt
$ nosetests

Caching

Internally, this module caches an OrderedDict representation of Piwik's list of search engines which is stored in serpextract/search_engines.pickle. This isn't intended to change that often and so this module ships with a cached version.