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An assortment of scripts for scraping and liberating your personal data from web apps
We need to export all the users contacts as well.
Info about the Google contacts API can be found here :
https://developers.google.com/google-apps/contacts/v3/
When we are done with exporting mails from gmail, we should look at exporting files from Google Drive.
Traceback:
Traceback (most recent call last):
File "./harvest.py", line 32, in <module>
response, num_mails = connection.select(mailbox, True)
File "/usr/lib/python2.7/imaplib.py", line 649, in select
typ, dat = self._simple_command(name, mailbox)
File "/usr/lib/python2.7/imaplib.py", line 1070, in _simple_command
return self._command_complete(name, self._command(name, *args))
File "/usr/lib/python2.7/imaplib.py", line 905, in _command_complete
raise self.error('%s command error: %s %s' % (name, typ, data))
imaplib.error: EXAMINE command error: BAD ['[CLIENTBUG] Too many arguments for command']
Will examine further straight away.
When exporting from gmail, labels have to be handled.
This is already implemented by using imap folders.
We have to figure out a way to handle multiple labels on mails, possibly avoiding re-downloading the same messages multiple times.
The scraper should do some kind of pagination when fetching all the mail. This pagination should be kept track of so that the scraping won't have to start over if the process crashes/gets throttled/whatever. I suggest we do that with pickle, but whatever floats the implementer's boat ;)
Message has everything we need, and we're going to have to use it for exporting mbox files anyway...
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