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Parses a delicious.com bookmark file and transforms it into a list of dictionaries.
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#!/usr/bin/env python | |
#coding:utf-8 | |
# Author: --<> | |
# Purpose: | |
# Created: 12/29/10 | |
from HTMLParser import HTMLParser # Python 2 | |
import pandas as pd | |
# from html.parser import HTMLParser # Python 3 | |
######################################################################## | |
class BookmarkParser(HTMLParser): | |
""" | |
Parses a delicious.com bookmark file and transforms it into a list of | |
dictionaries. | |
Usage: | |
b = BookmarkParser() | |
b.feed(open('delicious-20101223.htm').read()) | |
b.close() | |
print b.bookmarks | |
Output: | |
[{'tags': ['flash', 'actionscript', 'blog'], | |
'add_date': '1204034881', | |
'title': 'blog.je2050.de - blog and database of joa ebert', | |
'private': False, | |
'note': '', | |
'href': 'http://blog.je2050.de/'}, ...] | |
""" | |
#---------------------------------------------------------------------- | |
def reset(self): | |
HTMLParser.reset(self) | |
self.bookmarks = [] | |
self.last_bookmark = {} | |
#---------------------------------------------------------------------- | |
def handle_starttag(self, tag, attrs): | |
if tag == 'a': | |
bookmark = {} | |
bookmark['title'] = u'' | |
bookmark['note'] = u'' | |
for k, v in attrs: | |
if k == 'href': | |
bookmark['href'] = v | |
elif k == 'add_date': | |
bookmark['add_date'] = v | |
elif k == 'private': | |
bookmark['private'] = "1" in v | |
elif k == 'tags': | |
bookmark['tags'] = filter(None, v.split(',')) # get rid of empty strings | |
self.bookmarks.append(bookmark) | |
self.last_bookmark = bookmark | |
#---------------------------------------------------------------------- | |
def handle_data(self, data): | |
if self.lasttag == 'a' and self.last_bookmark['title'] == '': | |
self.last_bookmark['title'] = str(data).rstrip() | |
if self.lasttag == 'dd' and self.last_bookmark['note'] == '': | |
self.last_bookmark['note'] = str(data).rstrip() | |
if __name__ == '__main__': | |
b = BookmarkParser() | |
b.feed(open('delicious.html').read()) | |
b.close() | |
df = pd.DataFrame(b.bookmarks) | |
df.to_csv('delicious.csv') |
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