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1 Python Twitter Tools
2 ====================
3
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
6 on the go.
7
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
11 IRC channel.
12
13 For more information, after installing the `twitter` package:
14
15 * import the `twitter` package and run help() on it
16 * run `twitter -h` for command-line tool help
17
18
19 twitter - The Command-Line Tool
20 -------------------------------
21
22 The command-line tool lets you do some awesome things:
23
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
28
29 The bottom line: type `twitter`, receive tweets.
30
31
32
33 twitterbot - The IRC Bot
34 ------------------------
35
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
39 commands.
40
41
42 twitter-log
43 -----------
44
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.
49
50 twitter-archiver and twitter-follow
51 -----------------------------------
52
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).
56
57
58 Programming with the Twitter api classes
59 ========================================
60
61
62 The Twitter and TwitterStream classes are the key to building your own
63 Twitter-enabled applications.
64
65
66 The Twitter class
67 -----------------
68
69 The minimalist yet fully featured Twitter API class.
70
71 Get RESTful data by accessing members of this class. The result
72 is decoded python objects (lists and dicts).
73
74 The Twitter API is documented at:
75
76 **[http://dev.twitter.com/doc](http://dev.twitter.com/doc)**
77
78
79 Examples::
80
81 ```python
82 from twitter import *
83
84 # see "Authentication" section below for tokens and keys
85 t = Twitter(
86 auth=OAuth(OAUTH_TOKEN, OAUTH_SECRET,
87 CONSUMER_KEY, CONSUMER_SECRET)
88 )
89
90 # Get your "home" timeline
91 t.statuses.home_timeline()
92
93 # Get a particular friend's timeline
94 t.statuses.user_timeline(screen_name="billybob")
95
96 # to pass in GET/POST parameters, such as `count`
97 t.statuses.home_timeline(count=5)
98
99 # to pass in the GET/POST parameter `id` you need to use `_id`
100 t.statuses.oembed(_id=1234567890)
101
102 # Update your status
103 t.statuses.update(
104 status="Using @sixohsix's sweet Python Twitter Tools.")
105
106 # Send a direct message
107 t.direct_messages.new(
108 user="billybob",
109 text="I think yer swell!")
110
111 # Get the members of tamtar's list "Things That Are Rad"
112 t._("tamtar")._("things-that-are-rad").members()
113
114 # Note how the magic `_` method can be used to insert data
115 # into the middle of a call. You can also use replacement:
116 t.user.list.members(user="tamtar", list="things-that-are-rad")
117
118 # An *optional* `_timeout` parameter can also be used for API
119 # calls which take much more time than normal or twitter stops
120 # responding for some reasone
121 t.users.lookup(screen_name=','.join(A_LIST_OF_100_SCREEN_NAMES), _timeout=1)
122
123 # Overriding Method: GET/POST
124 # you should not need to use this method as this library properly
125 # detects whether GET or POST should be used, Nevertheless
126 # to force a particular method, use `_method`
127 t.statuses.oembed(_id=1234567890, _method='GET')
128 ```
129
130 Searching Twitter::
131
132 ``` python
133 # Search for the latest tweets about #pycon
134 t.search.tweets(q="#pycon")
135 ```
136
137 Using the data returned
138 -----------------------
139
140 Twitter API calls return decoded JSON. This is converted into
141 a bunch of Python lists, dicts, ints, and strings. For example::
142
143 ```python
144 x = twitter.statuses.home_timeline()
145
146 # The first 'tweet' in the timeline
147 x[0]
148
149 # The screen name of the user who wrote the first 'tweet'
150 x[0]['user']['screen_name']
151 ```
152
153 Getting raw XML data
154 --------------------
155
156 If you prefer to get your Twitter data in XML format, pass
157 format="xml" to the Twitter object when you instantiate it::
158
159 ```python
160 twitter = Twitter(format="xml")
161 ```
162
163 The output will not be parsed in any way. It will be a raw string
164 of XML.
165
166
167 The TwitterStream class
168 -----------------------
169
170 The TwitterStream object is an interface to the Twitter Stream API
171 (stream.twitter.com). This can be used pretty much the same as the
172 Twitter class except the result of calling a method will be an
173 iterator that yields objects decoded from the stream. For
174 example::
175
176 ```python
177 twitter_stream = TwitterStream(auth=UserPassAuth('joe', 'joespassword'))
178 iterator = twitter_stream.statuses.sample()
179
180 for tweet in iterator:
181 # ...do something with this tweet...
182 ```
183
184 The iterator will yield tweets forever and ever (until the stream
185 breaks at which point it raises a TwitterHTTPError.)
186
187 The `block` parameter controls if the stream is blocking. Default
188 is blocking (True). When set to False, the iterator will
189 occasionally yield None when there is no available message.
190
191 Per default the ``TwitterStream`` object uses
192 [public streams](https://dev.twitter.com/docs/streaming-apis/streams/public).
193 If you want to use one of the other
194 [streaming APIs](https://dev.twitter.com/docs/streaming-apis), specify the URL
195 manually:
196
197 - [Public streams](https://dev.twitter.com/docs/streaming-apis/streams/public): stream.twitter.com
198 - [User streams](https://dev.twitter.com/docs/streaming-apis/streams/user): userstream.twitter.com
199 - [Site streams](https://dev.twitter.com/docs/streaming-apis/streams/site): sitestream.twitter.com
200
201 Note that you require the proper
202 [permissions](https://dev.twitter.com/docs/application-permission-model) to
203 access these streams. E.g. for direct messages your
204 [application](https://dev.twitter.com/apps) needs the "Read, Write & Direct
205 Messages" permission.
206
207 The following example demonstrates how to retreive all new direct messages
208 from the user stream:
209
210 ```python
211 auth = OAuth(
212 consumer_key='[your consumer key]',
213 consumer_secret='[your consumer secret]',
214 token='[your token]',
215 token_secret='[your token secret]'
216 )
217 twitter_userstream = TwitterStream(auth=auth, domain='userstream.twitter.com')
218 for msg in twitter_userstream.user():
219 if 'direct_message' in msg:
220 print msg['direct_message']['text']
221 ```
222
223 Twitter Response Objects
224 ------------------------
225
226 Response from a twitter request. Behaves like a list or a string
227 (depending on requested format) but it has a few other interesting
228 attributes.
229
230 `headers` gives you access to the response headers as an
231 httplib.HTTPHeaders instance. You can do
232 `response.headers.getheader('h')` to retrieve a header.
233
234 Authentication
235 --------------
236
237 You can authenticate with Twitter in three ways: NoAuth, OAuth, or
238 UserPassAuth. Get help() on these classes to learn how to use them.
239
240 OAuth is probably the most useful.
241
242
243 Working with OAuth
244 ------------------
245
246 Visit the Twitter developer page and create a new application:
247
248 **[https://dev.twitter.com/apps/new](https://dev.twitter.com/apps/new)**
249
250 This will get you a CONSUMER_KEY and CONSUMER_SECRET.
251
252 When users run your application they have to authenticate your app
253 with their Twitter account. A few HTTP calls to twitter are required
254 to do this. Please see the twitter.oauth_dance module to see how this
255 is done. If you are making a command-line app, you can use the
256 oauth_dance() function directly.
257
258 Performing the "oauth dance" gets you an oauth token and oauth secret
259 that authenticate the user with Twitter. You should save these for
260 later so that the user doesn't have to do the oauth dance again.
261
262 read_token_file and write_token_file are utility methods to read and
263 write OAuth token and secret key values. The values are stored as
264 strings in the file. Not terribly exciting.
265
266 Finally, you can use the OAuth authenticator to connect to Twitter. In
267 code it all goes like this::
268
269 ```python
270 from twitter import *
271
272 MY_TWITTER_CREDS = os.path.expanduser('~/.my_app_credentials')
273 if not os.path.exists(MY_TWITTER_CREDS):
274 oauth_dance("My App Name", CONSUMER_KEY, CONSUMER_SECRET,
275 MY_TWITTER_CREDS)
276
277 oauth_token, oauth_secret = read_token_file(MY_TWITTER_CREDS)
278
279 twitter = Twitter(auth=OAuth(
280 oauth_token, oauth_secret, CONSUMER_KEY, CONSUMER_SECRET))
281
282 # Now work with Twitter
283 twitter.statuses.update(status='Hello, world!')
284 ```
285
286
287 License
288 =======
289
290 Python Twitter Tools are released under an MIT License.