Automatically Repost Content From Instagram to Twitter
Project description
About InstaTweet
Automatically Repost Content From Instagram to Twitter
Ever tried sharing an Instagram post to Twitter, only to find out that all you tweeted was a link, and not the actual photo/video?
.. admonition:: Humiliating 🤮
:class: important-af
That could be literally anything. Nobody will click it.
InstaTweet shares the actual content of the post. Not just a link to it.
With InstaTweet, you can rest easy knowing that, although nobody will click the link, they'll at least see what you posted.
What's InstaTweet?
InstaTweet is a tool that automatically reposts content from Instagram to Twitter.
Simply create a Profile
, configure the necessary settings, and add the Instagram users you'd like repost from.
InstaTweet will then periodically scrape their accounts and, if new posts are detected, they'll be automatically
downloaded and posted to Twitter.
Once you've got a Profile
set up, using InstaTweet is as simple as:
from InstaTweet import InstaTweet
insta_tweet = InstaTweet.load('myProfile')
insta_tweet.start()
The scheduler can also be used (remotely and locally) to InstaTweet your profile(s)
.. admonition:: But Why? 🤨
:class: instatweet
**InstaTweet has two main use cases:**
* To automatically share your own Instagram posts to Twitter
* To automatically tweet new content from other Instagram users
Regardless of your intention, InstaTweet will detect new posts from the users you specify, download them, and repost
them to Twitter.
Documentation
Documentation can be found on Read the Docs
Installation
InstaTweet is compatible with Python 3.8 or higher.
To install from PyPi using pip:
pip install insta-tweet
Getting Started
InstaTweet uses the Profile
class to help manage Twitter accounts, Instagram sessions, and user maps.
You do not need to save()
a profile, but doing so will allow you to easily load()
and swap settings
Creating a Profile
Settings can be provided as keyword arguments when initializing a Profile
, or set directly as object attributes at any point afterwards
- Mandatory settings will have their values validated by
validate()
when callingInstaTweet.start()
- Mandatory settings will have their data type validated by property setters at all times
- Requirements are not truly enforced until the profile is InstaTweeted
Mandatory Settings
session_id
— Instagram Sessionid Cookie, obtained by logging in on a desktop browsertwitter_keys
— Twitter API Keys with v1.1 endpoint access
Mandatory Settings with Default Values
name="default"
— Profile name; a unique, non-default name is needed to save theProfile
, but not to InstaTweet itlocal=True
— Indicates if the profile should be saved locally (default) or uploaded to a remote databaseuser_agent=utils.get_agent()
— User agent to use when making requests to Instagram/Twitter
Entirely Optional Settings
proxy_key
— Environment variable to retrieve proxies from when making requests to Instagram/Twitteruser_map
— Fully formatted dictionary of IG usernames mapped to theirUSER_MAPPING
Example
from InstaTweet import Profile
# Initialize a profile with arguments
p = Profile(name='myProfile', session_id='session230932041231!!@43rl2204123poopoopee3444')
# Initialize a profile with no arguments
q = Profile()
q.name = 'myProfile'
q.session_id = 'session230932041231!!@43rl2204123poopoopee3444'
p.view_config()
print(f'Same Config: {p.config==q.config}')
Output:
name : myProfile
local : True
session_id : session230932041231!!@43rl2204123poopoopee3444
twitter_keys : {'Consumer Key': 'string', 'Consumer Secret': 'string', 'Access Token': 'string', 'Token Secret': 'string'}
user_agent : Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.5005.63 Safari/537.36
proxy_key : None
user_map : {}
Same Config: True
Note that the profiles don't have their Twitter keys set. This is, for now, a mandatory setting, and so
>>> p.validate()
ValueError: Values not set for the following Twitter keys: ['Consumer Key', 'Consumer Secret', 'Access Token', 'Token Secret']
The User Map
The user_map
allows a Profile
to maintain a history of package-related activity for the Instagram users you've added
Users are mapped to their USER_MAPPING
, which contains their associated lists of:
hashtags
— the user's associated hashtag list (for use when composing tweets)scraped
— the list of posts that have been scraped from the user (only the post id)tweets
— the list of sent tweets containing media scraped from that user (limited data)
Adding Users and Hashtags
STUFF I NEED TO EDIT
Populating the User Map
The user map is a mapping of Instagram usernames to their associated USER_MAPPING
The mapping gets updated as InstaTweet runs, when posts are successfully scraped and tweeted from these users.
The Profile
has methods to easily access and modify these mappings
Adding Users
Use the add_users()
method to add users to a Profile's user map
from InstaTweet import Profile
>>> p = Profile('myProfile')
>>> p.add_users('username')
Added Instagram user @username to the user map
>>> usernames = ['user','names']
>>> p.add_users(usernames)
Added Instagram user @user to the user map
Added Instagram user @names to the user map
>>> p.view_config()
name : myProfile
local : True
session_id :
twitter_keys : {'Consumer Key': 'string', 'Consumer Secret': 'string', 'Access Token': 'string', 'Token Secret': 'string'}
user_agent : Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/102.0.5005.63 Safari/537.36
proxy_key : None
user_map : {'username': {'hashtags': [], 'scraped': [], 'tweets': []}, 'user': {'hashtags': [], 'scraped': [], 'tweets': []}, 'names': {'hashtags': [], 'scraped': [], 'tweets': []}}
You can use the get_user()
method to retrieve the mapping of a particular user
>>> print(p.get_user('names'))
{'hashtags': [], 'scraped': [], 'tweets': []}
Adding Hashtags
Use the add_hashtags()
method to add hashtags to a specific user in the Profile's user map
>>> p.add_hashtags(user='username', hashtags='cool')
Added hashtags for @username
>>> hashtags = ['wow', 'okay']
>>> p.add_hashtags('user', hashtags)
Added hashtags for @user
>>> print(p.user_map)
{'username': {'hashtags': ['cool'], 'scraped': [], 'tweets': []}, 'user': {'hashtags': ['wow', 'okay'], 'scraped': [], 'tweets': []}, 'names': {'hashtags': [], 'scraped': [], 'tweets': []}}
You can use the get_hashtags_for()
method to retrieve the hashtag list of a specific username
>>> print(p.get_hashtags_for('user'))
['wow', 'okay']
Saving a Profile
The profile can be saved either locally or to a SQLAlchemy supported database -- just set the DATABASE_URL
environment variable
NOTE: Saving a
Profile
is not mandatory to run InstaTweet, but doing so allows for easy access to associated API settings as well as tracking of previously scraped & tweeted posts (which is used to determine which posts are new)
Call save()
to save the profile using the current or specified profile name
. The value of local
determines the location and save format
-
If
local=True
, the profile will be saved as a pickle file in theProfile.LOCAL_DIR
-
Otherwise, the profile will be saved to the database specified by the
DATABASE_URL
environment variable
- It gets converted to a pickle byte string (via
to_pickle()
), which is then used to add/update a row
Example:
>>> p = Profile('myProfile')
>>> p.save()
Saved Local Profile myProfile
Note that you can specify a new name for the profile at the time of saving, but it still must be unique
>>> q = Profile()
>>> q.save('aProfile')
Saved Local Profile aProfile
>>> q.save('myProfile')
FileExistsError: Local save file already exists for profile named "myProfile"
Please choose another name, load the profile, or delete the file.
You can see if a profile name already exists remotely or locally by calling the profile_exists()
static method:
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