Keyword selection toolkit

What it is

This script selects the highest scoring keyword list from a list of input keywords utilizing a multi-factor scoring model.

Input keywords and their metrics are read in from a file containing all relevant information. The sample data for this script is real Apple App Store data scraped from ASO sites as of Dec 2014.

You can find a detailed description of how to select the right keywords for your app on my blog here:

Part 1: How to find relevant keywords for your app http://blackboardmadness.com/blog/app-store-optimization-aso-selecting-the-right-keywords-part-1/ Part 2: Description of a basic keyword selection process http://blackboardmadness.com/blog/app-store-optimization-aso-selecting-the-right-keywords-part-2/ Part 3: Introduction to a multi-factor scoring model utilized in this script http://blackboardmadness.com/blog/app-store-optimization-aso-selecting-the-right-keywords-part-3/

Keyword metrics used in the multi-factor model: Difficulty: How hard to rank for a keyword (0=easy, 10=hard to rank for) Traffic: How high is keyword serach volume (0=no traffic, 10=high traffic) Number of Apps: How many apps use a keyword (number >= 0) Key length: Char length of a keyword

Notes

This toolkit requires Python3 to run due to Unicode support, if you want to use the code on Python 2, please use the solution as documented in the Python csv module documentation:

import csv, codecs, cStringIO

class UTF8Recoder:
    """
    Iterator that reads an encoded stream and reencodes the input to UTF-8
    """
    def __init__(self, f, encoding):
        self.reader = codecs.getreader(encoding)(f)

    def __iter__(self):
        return self

    def next(self):
        return self.reader.next().encode("utf-8")

class UnicodeReader:
    """
    A CSV reader which will iterate over lines in the CSV file "f",
    which is encoded in the given encoding.
    """

    def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
        f = UTF8Recoder(f, encoding)
        self.reader = csv.reader(f, dialect=dialect, **kwds)

    def next(self):
        row = self.reader.next()
        return [unicode(s, "utf-8") for s in row]

    def __iter__(self):
        return self

class UnicodeWriter:
    """
    A CSV writer which will write rows to CSV file "f",
    which is encoded in the given encoding.
    """

    def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
        # Redirect output to a queue
        self.queue = cStringIO.StringIO()
        self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
        self.stream = f
        self.encoder = codecs.getincrementalencoder(encoding)()

    def writerow(self, row):
        self.writer.writerow([s.encode("utf-8") for s in row])
        # Fetch UTF-8 output from the queue ...
        data = self.queue.getvalue()
        data = data.decode("utf-8")
        # ... and reencode it into the target encoding
        data = self.encoder.encode(data)
        # write to the target stream
        self.stream.write(data)
        # empty queue
        self.queue.truncate(0)

    def writerows(self, rows):
        for row in rows:
            self.writerow(row)

Just replace csv.reader() and csv.write() with UnicodeReader and UnicodeWriter.

You will also need to add from io import open at the top of the file.