4 The Minimalist Twitter API for Python is a Python API for Twitter,
5 everyone's favorite Web 2.0 Facebook-style status updater for people
8 Also included is a twitter command-line tool for getting your friends'
9 tweets and setting your own tweet from the safety and security of your
10 favorite shell and an IRC bot that can announce Twitter updates to an
13 For more information, after installing the `twitter` package:
15 * import the `twitter` package and run help() on it
16 * run `twitter -h` for command-line tool help
19 twitter - The Command-Line Tool
20 -------------------------------
22 The command-line tool lets you do some awesome things:
24 * view your tweets, recent replies, and tweets in lists
25 * view the public timeline
26 * follow and unfollow (leave) friends
27 * various output formats for tweet information
29 The bottom line: type `twitter`, receive tweets.
33 twitterbot - The IRC Bot
34 ------------------------
36 The IRC bot is associated with a twitter account (either your own account or an
37 account you create for the bot). The bot announces all tweets from friends
38 it is following. It can be made to follow or leave friends through IRC /msg
45 `twitter-log` is a simple command-line tool that dumps all public
46 tweets from a given user in a simple text format. It is useful to get
47 a complete offsite backup of all your tweets. Run `twitter-log` and
48 read the instructions.
50 twitter-archiver and twitter-follow
51 -----------------------------------
53 twitter-archiver will log all the tweets posted by any user since they
54 started posting. twitter-follow will print a list of all of all the
55 followers of a user (or all the users that user follows).
58 Programming with the Twitter api classes
59 ========================================
62 The Twitter and TwitterStream classes are the key to building your own
63 Twitter-enabled applications.
69 The minimalist yet fully featured Twitter API class.
71 Get RESTful data by accessing members of this class. The result
72 is decoded python objects (lists and dicts).
74 The Twitter API is documented at:
76 http://dev.twitter.com/doc
83 # see "Authentication" section below for tokens and keys
85 auth=OAuth(OAUTH_TOKEN, OAUTH_SECRET,
86 CONSUMER_KEY, CONSUMER_SECRET)))
88 # Get the public timeline
89 t.statuses.public_timeline()
91 # Get a particular friend's timeline
92 t.statuses.friends_timeline(id="billybob")
94 # Also supported (but totally weird)
95 t.statuses.friends_timeline.billybob()
99 status="Using @sixohsix's sweet Python Twitter Tools.")
101 # Send a direct message
102 t.direct_messages.new(
104 text="I think yer swell!")
106 # Get the members of tamtar's list "Things That Are Rad"
107 t._("tamtar")._("things-that-are-rad").members()
109 # Note how the magic `_` method can be used to insert data
110 # into the middle of a call. You can also use replacement:
111 t.user.list.members(user="tamtar", list="things-that-are-rad")
113 # An *optional* `_timeout` parameter can also be used for API
114 # calls which take much more time than normal or twitter stops
115 # responding for some reasone
116 t.users.lookup(screen_name=','.join(A_LIST_OF_100_SCREEN_NAMES), _timeout=1)
121 from twitter import *
123 twitter_search = Twitter(domain="search.twitter.com")
125 # Find the latest search trends
126 twitter_search.trends()
128 # Search for the latest News on #gaza
129 twitter_search.search(q="#gaza")
132 Using the data returned
133 -----------------------
135 Twitter API calls return decoded JSON. This is converted into
136 a bunch of Python lists, dicts, ints, and strings. For example::
138 x = twitter.statuses.public_timeline()
140 # The first 'tweet' in the timeline
143 # The screen name of the user who wrote the first 'tweet'
144 x[0]['user']['screen_name']
150 If you prefer to get your Twitter data in XML format, pass
151 format="xml" to the Twitter object when you instantiate it::
153 twitter = Twitter(format="xml")
155 The output will not be parsed in any way. It will be a raw string
159 The TwitterStream class
160 -----------------------
162 The TwitterStream object is an interface to the Twitter Stream API
163 (stream.twitter.com). This can be used pretty much the same as the
164 Twitter class except the result of calling a method will be an
165 iterator that yields objects decoded from the stream. For
168 twitter_stream = TwitterStream(auth=UserPassAuth('joe', 'joespassword'))
169 iterator = twitter_stream.statuses.sample()
171 for tweet in iterator:
172 ...do something with this tweet...
174 The iterator will yield tweets forever and ever (until the stream
175 breaks at which point it raises a TwitterHTTPError.)
177 The `block` parameter controls if the stream is blocking. Default
178 is blocking (True). When set to False, the iterator will
179 occasionally yield None when there is no available message.
181 Twitter Response Objects
182 ------------------------
184 Response from a twitter request. Behaves like a list or a string
185 (depending on requested format) but it has a few other interesting
188 `headers` gives you access to the response headers as an
189 httplib.HTTPHeaders instance. You can do
190 `response.headers.getheader('h')` to retrieve a header.
195 You can authenticate with Twitter in three ways: NoAuth, OAuth, or
196 UserPassAuth. Get help() on these classes to learn how to use them.
198 OAuth is probably the most useful.
204 Visit the Twitter developer page and create a new application:
206 https://dev.twitter.com/apps/new
208 This will get you a CONSUMER_KEY and CONSUMER_SECRET.
210 When users run your application they have to authenticate your app
211 with their Twitter account. A few HTTP calls to twitter are required
212 to do this. Please see the twitter.oauth_dance module to see how this
213 is done. If you are making a command-line app, you can use the
214 oauth_dance() function directly.
216 Performing the "oauth dance" gets you an ouath token and oauth secret
217 that authenticate the user with Twitter. You should save these for
218 later so that the user doesn't have to do the oauth dance again.
220 read_token_file and write_token_file are utility methods to read and
221 write OAuth token and secret key values. The values are stored as
222 strings in the file. Not terribly exciting.
224 Finally, you can use the OAuth authenticator to connect to Twitter. In
225 code it all goes like this::
227 from twitter import *
229 MY_TWITTER_CREDS = os.path.expanduser('~/.my_app_credentials')
230 if not os.path.exists(MY_TWITTER_CREDS):
231 oauth_dance("My App Name", CONSUMER_KEY, CONSUMER_SECRET,
234 oauth_token, oauth_secret = read_token_file(MY_TWITTER_CREDS)
236 twitter = Twitter(auth=OAuth(
237 oauth_token, oauth_secret, CONSUMER_KEY, CONSUMER_SECRET))
239 # Now work with Twitter
240 twitter.statuses.update('Hello, world!')
247 Python Twitter Tools are released under an MIT License.