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iTunes Feed to Pandas Script

Takes an itunes feed, optionally a string to match and grabs the itunes compatible xml and turns it into a pandas dataframe. Can also dump the file to a csv.

Usage

usage: search.py [-h] [-q QUERY] [-o OUT] itunes_url

Takes in an itunes podcast id, searches for a specific string, also dumps all the shows to a csv.

positional arguments:
itunes_url            URL from itunes for podcast

optional arguments:
-h, --help            show this help message and exit
-q QUERY, --query QUERY
Specific string to search for. This is quite dumb so the csv with a more complex engine might be better
-o OUT, --out OUT     Path to dump the results to a csv

Example

Default

./search.py https://podcasts.apple.com/us/podcast/the-lebanese-politics-podcast/id1372783898

returns

Feed URL: http://feeds.soundcloud.com/users/soundcloud:users:433519281/sounds.rss
                                   guid                                              title  ... enclosure image
0  tag:soundcloud,2010:tracks/812802808  episode 79 - government's plan for economic re...  ...      none  none
1  tag:soundcloud,2010:tracks/807625039                 episode 78 - bdl & monetary policy  ...      none  none
2  tag:soundcloud,2010:tracks/791460253           episode 77 - lirafication in slow motion  ...      none  none
3  tag:soundcloud,2010:tracks/786013177                episode 76 - lebanon in lockdown ii  ...      none  none
4  tag:soundcloud,2010:tracks/780848920                   episode 75 - lebanon in lockdown  ...      none  none

Query

./search.py https://podcasts.apple.com/us/podcast/the-lebanese-politics-podcast/id1372783898 -q trash

returns

Feed URL: http://feeds.soundcloud.com/users/soundcloud:users:433519281/sounds.rss
                                    guid                                      title  ... enclosure image
25  tag:soundcloud,2010:tracks/678095853  episode 54 - when drones and ratings fall  ...      none  none
67  tag:soundcloud,2010:tracks/468894144            episode 12 - coastal properties  ...      none  none

[2 rows x 12 columns]

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