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1 Python Twitter Tools
2 ====================
3
4 [![Build Status](https://travis-ci.org/sixohsix/twitter.svg)](https://travis-ci.org/sixohsix/twitter) [![Coverage Status](https://coveralls.io/repos/sixohsix/twitter/badge.png?branch=master)](https://coveralls.io/r/sixohsix/twitter?branch=master)
5
6 The Minimalist Twitter API for Python is a Python API for Twitter,
7 everyone's favorite Web 2.0 Facebook-style status updater for people
8 on the go.
9
10 Also included is a twitter command-line tool for getting your friends'
11 tweets and setting your own tweet from the safety and security of your
12 favorite shell and an IRC bot that can announce Twitter updates to an
13 IRC channel.
14
15 For more information, after installing the `twitter` package:
16
17 * import the `twitter` package and run help() on it
18 * run `twitter -h` for command-line tool help
19
20
21 twitter - The Command-Line Tool
22 -------------------------------
23
24 The command-line tool lets you do some awesome things:
25
26 * view your tweets, recent replies, and tweets in lists
27 * view the public timeline
28 * follow and unfollow (leave) friends
29 * various output formats for tweet information
30
31 The bottom line: type `twitter`, receive tweets.
32
33
34
35 twitterbot - The IRC Bot
36 ------------------------
37
38 The IRC bot is associated with a twitter account (either your own account or an
39 account you create for the bot). The bot announces all tweets from friends
40 it is following. It can be made to follow or leave friends through IRC /msg
41 commands.
42
43
44 twitter-log
45 -----------
46
47 `twitter-log` is a simple command-line tool that dumps all public
48 tweets from a given user in a simple text format. It is useful to get
49 a complete offsite backup of all your tweets. Run `twitter-log` and
50 read the instructions.
51
52 twitter-archiver and twitter-follow
53 -----------------------------------
54
55 twitter-archiver will log all the tweets posted by any user since they
56 started posting. twitter-follow will print a list of all of all the
57 followers of a user (or all the users that user follows).
58
59
60 Programming with the Twitter api classes
61 ========================================
62
63 The Twitter and TwitterStream classes are the key to building your own
64 Twitter-enabled applications.
65
66
67 The Twitter class
68 -----------------
69
70 The minimalist yet fully featured Twitter API class.
71
72 Get RESTful data by accessing members of this class. The result
73 is decoded python objects (lists and dicts).
74
75 The Twitter API is documented at:
76
77 **[http://dev.twitter.com/doc](http://dev.twitter.com/doc)**
78
79 Examples:
80 ```python
81 from twitter import *
82
83 t = Twitter(
84 auth=OAuth(token, token_key, con_secret, con_secret_key)))
85
86 # Get your "home" timeline
87 t.statuses.home_timeline()
88
89 # Get a particular friend's timeline
90 t.statuses.user_timeline(screen_name="billybob")
91
92 # to pass in GET/POST parameters, such as `count`
93 t.statuses.home_timeline(count=5)
94
95 # to pass in the GET/POST parameter `id` you need to use `_id`
96 t.statuses.oembed(_id=1234567890)
97
98 # Update your status
99 t.statuses.update(
100 status="Using @sixohsix's sweet Python Twitter Tools.")
101
102 # Send a direct message
103 t.direct_messages.new(
104 user="billybob",
105 text="I think yer swell!")
106
107 # Get the members of tamtar's list "Things That Are Rad"
108 t._("tamtar")._("things-that-are-rad").members()
109
110 # Note how the magic `_` method can be used to insert data
111 # into the middle of a call. You can also use replacement:
112 t.user.list.members(user="tamtar", list="things-that-are-rad")
113
114 # An *optional* `_timeout` parameter can also be used for API
115 # calls which take much more time than normal or twitter stops
116 # responding for some reason:
117 t.users.lookup(
118 screen_name=','.join(A_LIST_OF_100_SCREEN_NAMES), _timeout=1)
119
120 # Overriding Method: GET/POST
121 # you should not need to use this method as this library properly
122 # detects whether GET or POST should be used, Nevertheless
123 # to force a particular method, use `_method`
124 t.statuses.oembed(_id=1234567890, _method='GET')
125
126 # Send a tweet with an image included (or set your banner or logo similarily)
127 # by just reading your image from the web or a file in a string:
128 status = "PTT ★"
129 with open("example.png", "rb") as imagefile:
130 params = {"media[]": imagefile.read(), "status": status}
131 t.statuses.update_with_media(**params)
132
133 # Or by sending a base64 encoded image:
134 params = {"media[]": base64_image, "status": status, "_base64": True}
135 t.statuses.update_with_media(**params)
136 ```
137
138
139 Searching Twitter:
140 ```python
141 # Search for the latest tweets about #pycon
142 t.search.tweets(q="#pycon")
143 ```
144
145 Using the data returned
146 -----------------------
147
148 Twitter API calls return decoded JSON. This is converted into
149 a bunch of Python lists, dicts, ints, and strings. For example:
150
151 ```python
152 x = twitter.statuses.home_timeline()
153
154 # The first 'tweet' in the timeline
155 x[0]
156
157 # The screen name of the user who wrote the first 'tweet'
158 x[0]['user']['screen_name']
159 ```
160
161 Getting raw XML data
162 --------------------
163
164 If you prefer to get your Twitter data in XML format, pass
165 format="xml" to the Twitter object when you instantiate it:
166
167 ```python
168 twitter = Twitter(format="xml")
169 ```
170
171 The output will not be parsed in any way. It will be a raw string
172 of XML.
173
174
175 The TwitterStream class
176 -----------------------
177
178 The TwitterStream object is an interface to the Twitter Stream
179 API. This can be used pretty much the same as the Twitter class
180 except the result of calling a method will be an iterator that
181 yields objects decoded from the stream. For example::
182
183 ```python
184 twitter_stream = TwitterStream(auth=OAuth(...))
185 iterator = twitter_stream.statuses.sample()
186
187 for tweet in iterator:
188 ...do something with this tweet...
189 ```
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 retrieve 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 The iterator will yield until the TCP connection breaks. When the
224 connection breaks, the iterator yields `{'hangup': True}`, and
225 raises `StopIteration` if iterated again.
226
227 Similarly, if the stream does not produce heartbeats for more than
228 90 seconds, the iterator yields `{'hangup': True,
229 'heartbeat_timeout': True}`, and raises `StopIteration` if
230 iterated again.
231
232 The `timeout` parameter controls the maximum time between
233 yields. If it is nonzero, then the iterator will yield either
234 stream data or `{'timeout': True}` within the timeout period. This
235 is useful if you want your program to do other stuff in between
236 waiting for tweets.
237
238 The `block` parameter sets the stream to be fully non-blocking. In
239 this mode, the iterator always yields immediately. It returns
240 stream data, or `None`. Note that `timeout` supercedes this
241 argument, so it should also be set `None` to use this mode,
242 and non-blocking can potentially lead to 100% CPU usage.
243
244 Twitter Response Objects
245 ------------------------
246
247 Response from a twitter request. Behaves like a list or a string
248 (depending on requested format) but it has a few other interesting
249 attributes.
250
251 `headers` gives you access to the response headers as an
252 httplib.HTTPHeaders instance. You can do
253 `response.headers.get('h')` to retrieve a header.
254
255 Authentication
256 --------------
257
258 You can authenticate with Twitter in three ways: NoAuth, OAuth, or
259 OAuth2 (app-only). Get help() on these classes to learn how to use them.
260
261 OAuth and OAuth2 are probably the most useful.
262
263
264 Working with OAuth
265 ------------------
266
267 Visit the Twitter developer page and create a new application:
268
269 **[https://dev.twitter.com/apps/new](https://dev.twitter.com/apps/new)**
270
271 This will get you a CONSUMER_KEY and CONSUMER_SECRET.
272
273 When users run your application they have to authenticate your app
274 with their Twitter account. A few HTTP calls to twitter are required
275 to do this. Please see the twitter.oauth_dance module to see how this
276 is done. If you are making a command-line app, you can use the
277 oauth_dance() function directly.
278
279 Performing the "oauth dance" gets you an ouath token and oauth secret
280 that authenticate the user with Twitter. You should save these for
281 later so that the user doesn't have to do the oauth dance again.
282
283 read_token_file and write_token_file are utility methods to read and
284 write OAuth token and secret key values. The values are stored as
285 strings in the file. Not terribly exciting.
286
287 Finally, you can use the OAuth authenticator to connect to Twitter. In
288 code it all goes like this:
289
290 ```python
291 from twitter import *
292
293 MY_TWITTER_CREDS = os.path.expanduser('~/.my_app_credentials')
294 if not os.path.exists(MY_TWITTER_CREDS):
295 oauth_dance("My App Name", CONSUMER_KEY, CONSUMER_SECRET,
296 MY_TWITTER_CREDS)
297
298 oauth_token, oauth_secret = read_token_file(MY_TWITTER_CREDS)
299
300 twitter = Twitter(auth=OAuth(
301 oauth_token, oauth_token_secret, CONSUMER_KEY, CONSUMER_SECRET))
302
303 # Now work with Twitter
304 twitter.statuses.update(status='Hello, world!')
305 ```
306
307 Working with OAuth2
308 -------------------
309
310 Twitter only supports the application-only flow of OAuth2 for certain
311 API endpoints. This OAuth2 authenticator only supports the application-only
312 flow right now.
313
314 To authenticate with OAuth2, visit the Twitter developer page and create a new
315 application:
316
317 **[https://dev.twitter.com/apps/new](https://dev.twitter.com/apps/new)**
318
319 This will get you a CONSUMER_KEY and CONSUMER_SECRET.
320
321 Exchange your CONSUMER_KEY and CONSUMER_SECRET for a bearer token using the
322 oauth2_dance function.
323
324 Finally, you can use the OAuth2 authenticator and your bearer token to connect
325 to Twitter. In code it goes like this::
326
327 ```python
328 twitter = Twitter(auth=OAuth2(bearer_token=BEARER_TOKEN))
329
330 # Now work with Twitter
331 twitter.search.tweets(q='keyword')
332 ```
333
334 License
335 =======
336
337 Python Twitter Tools are released under an MIT License.