Implemented in Python using the Selenium module.
Think this tool is worth supporting? Head over to https://github.com/timgrossmann/InstaPy/wiki/How-to-Contribute to find out how you can help. Become a part of InstaPy!
Have an issue? Head over to https://github.com/timgrossmann/InstaPy/wiki/Reporting-An-Issue to find out how to report this to us and get help.
Disclaimer: Please Note that this is a research project. I am by no means responsible for any usage of this tool. Use on your own behalf. I’m also not responsible if your accounts get banned due to extensive use of this tool.
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- Getting Started
- InstaPy Available Features
- Commenting
- Following
- Following by a list
- Follow someone else's followers
- Follow users that someone else is following
- Follow someone else's followers/following
- Follow the likers of photos of users
- Follow the commenters of photos of users
- Interact with specific users
- Interact with users that someone else is following
- Interact with someone else's followers
- Unfollowing
- Don't unfollow active users
- Interactions based on the number of followers and/or following a user has
- Liking based on the number of existing likes a post has
- Commenting based on the number of existing comments a post has
- Comment by Locations
- Like by Locations
- Like by Tags
- Like by Feeds
- Restricting Likes
- Ignoring Users
- Ignoring Restrictions
- Excluding friends
- Blacklist Campaign
- Smart Hashtags
- Follow/Unfollow/exclude not working?
- Bypass Suspicious Login Attempt
- Third Party InstaPy GUI for Windows
- Use a proxy
- Switching to Firefox
- Emoji Support
- Clarifai ImageAPI
- Running on a Server
- Running on a Headless Browser
- Running Multiple Accounts
- Running with Docker microservices manual
- Running all-in-one with Docker (obsolete)
- Automate InstaPy
- Extra Informations
Setting up InstaPy at Digital Ocean (for Debian)
1. git clone https://github.com/timgrossmann/InstaPy.git
2. cd InstaPy
3. pip install .
or
3. python setup.py install- Download
chromedriverfor your system from here. Extract the .zip file and put it in/assetsfolder.
The best way to install InstaPy is to create a virtualenv, install InstaPy there and run it from a separate file:
1. virtualenv venv
2. source venv/bin/activate
3. pip install git+https://github.com/timgrossmann/InstaPy.gitIf you're not familiar with virtualenv, please read about it here and use it to your advantage.
In essence, this is be the only Python library you should install as root (e.g., with sudo). All other Python libraries should be inside a virtualenv.
Now copy/paste the quickstart.py Python code below and run your first InstaPy script. Remember to run it with Python from the virtualenv, so from venv/bin/python. To make sure which Python is used, run which python, it will tell you which Python is 'active'.
Running source venv/bin/activate will activate the correct Python to run InstaPy. To exit an activated virtualenv run `deactivate'.
Basic setup is a good way to test the tool. At project root folder open quickstart.py and update with your username and password.
from instapy import InstaPy
insta_username = ''
insta_password = ''
# if you want to run this script on a server,
# simply add nogui=True to the InstaPy() constructor
session = InstaPy(username=insta_username, password=insta_password)
session.login()
# set up all the settings
session.set_relationship_bounds(enabled=True,
potency_ratio=-1.21,
delimit_by_numbers=True,
max_followers=4590,
max_following=5555,
min_followers=45,
min_following=77)
session.set_do_comment(True, percentage=10)
session.set_comments(['aMEIzing!', 'So much fun!!', 'Nicey!'])
session.set_dont_include(['friend1', 'friend2', 'friend3'])
session.set_dont_like(['pizza', 'girl'])
# do the actual liking
session.like_by_tags(['natgeo', 'world'], amount=100)
# end the bot session
session.end()Execute it:
$ python quickstart.py1. Official Cross Platform GUI
2. Third Party InstaPy GUI for Windows
3. Session scheduling with Telegram
# default enabled=False, ~ every 4th image will be commented on
session.set_do_comment(enabled=True, percentage=25)
session.set_comments(['Awesome', 'Really Cool', 'I like your stuff'])
# you can also set comments for specific media types (Photo / Video)
session.set_comments(['Nice shot!'], media='Photo')
session.set_comments(['Great Video!'], media='Video')
# and you can add the username of the poster to the comment by using
session.set_comments(['Nice shot! @{}'], media='Photo')# default enabled=False, follows ~ 10% of the users from the images, times=1
# (only follows a user once (if unfollowed again))
session.set_do_follow(enabled=True, percentage=10, times=2)follow_by_list(followlist=['samantha3', 'larry_ok'], times=1, sleep_delay=600, interact=False)only follows a user once (if unfollowed again) would be useful for the precise targeting
sleep_delay is used to define break time after some good following (averagely ~10 follows)
For example, if one needs to get followbacks from followers of a chosen account/group of accounts.
accs = ['therock','natgeo']
session.follow_by_list(accs, times=1, sleep_delay=600, interact=False)- You can also interact with the followed users by enabling
interact=Truewhich will use the configuration ofset_user_interactsetting:
session.set_user_interact(amount=4,
percentage=50,
randomize=True,
media='Photo')
session.follow_by_list(followlist=['samantha3', 'larry_ok'], times=2, sleep_delay=600, interact=True)# Follows the followers of each given user
# The usernames can be either a list or a string
# The amount is for each account, in this case 30 users will be followed
# If randomize is false it will pick in a top-down fashion
session.follow_user_followers(['friend1', 'friend2', 'friend3'], amount=10, randomize=False)
# default sleep_delay=600 (10min) for every 10 user following, in this case
# sleep for 60 seconds
session.follow_user_followers(['friend1', 'friend2', 'friend3'], amount=10, randomize=False, sleep_delay=60)# Follows the people that a given users are following
# The usernames can be either a list or a string
# The amount is for each account, in this case 30 users will be followed
# If randomize is false it will pick in a top-down fashion
session.follow_user_following(['friend1', 'friend2', 'friend3'], amount=10, randomize=False)
# default sleep_delay=600 (10min) for every 10 user following, in this case
# sleep for 60 seconds
session.follow_user_following(['friend1', 'friend2', 'friend3'], amount=10, randomize=False, sleep_delay=60)# For 50% of the 30 newly followed, move to their profile
# and randomly choose 5 pictures to be liked.
# Take into account the other set options like the comment rate
# and the filtering for inappropriate words or users
session.set_user_interact(amount=5, randomize=True, percentage=50, media='Photo')
session.follow_user_followers(['friend1', 'friend2', 'friend3'], amount=10, randomize=False, interact=True)# Follow user based on hashtags (without liking the image)
session.follow_by_tags(['tag1', 'tag2'], amount=10)session.follow_likers (['user1' , 'user2'], photos_grab_amount = 2, follow_likers_per_photo = 3, randomize=True, sleep_delay=600, interact=False)in this case 2 random photos from each given user will be analyzed and 3 people who liked them will be followed, so 6 follows in total
The usernames can be any list
The photos_grab_amount is how many photos will I grat from users profile and analyze who liked it
The follow_likers_per_photo is how many people to follow per each photo
randomize=False will take photos from newes, true will take random from first 12
sleep_delay is used to define break time after some good following (averagely ~10 follows)
- You can also interact with the followed users by enabling
interact=Truewhich will use the configuration ofset_user_interactsetting:
session.set_user_interact(amount=2,
percentage=70,
randomize=True,
media='Photo')
session.follow_likers (['user1' , 'user2'], photos_grab_amount = 2, follow_likers_per_photo = 3, randomize=True, sleep_delay=600, interact=True)session.follow_commenters(['user1', 'user2', 'user3'], amount=100, daysold=365, max_pic = 100, sleep_delay=600, interact=False)in this case (max 100 newest photos & maximum 365 days old) from each given user will be analyzed and 100 people who commented the most will be followed
The usernames can be any list
The amount is how many people to follow
The daysold will only take commenters from photos no older than daysold days
The max_pic will limit number of photos to analyze
sleep_delay is used to define break time after some good following (averagely ~10 follows)
- You can also interact with the followed users by enabling
interact=Truewhich will use the configuration ofset_user_interactsetting:
session.set_user_interact(amount=3,
percentage=32,
randomize=True,
media='Video')
session.follow_commenters(['user1', 'user2', 'user3'], amount=100, daysold=365, max_pic = 100, sleep_delay=600, interact=True)# Interact with specific users
# set_do_like, set_do_comment, set_do_follow are applicable
session.set_do_follow(enabled=False, percentage=50)
session.set_comments(["Cool", "Super!"])
session.set_do_comment(enabled=True, percentage=80)
session.set_do_like(True, percentage=70)
session.interact_by_users(['user1', 'user2', 'user3'], amount=5, randomize=True, media='Photo')# Interact with the people that a given user is following
# set_do_comment, set_do_follow and set_do_like are applicable
session.set_user_interact(amount=5, randomize=True, percentage=50, media='Photo')
session.set_do_follow(enabled=False, percentage=70)
session.set_do_like(enabled=False, percentage=70)
session.set_comments(["Cool", "Super!"])
session.set_do_comment(enabled=True, percentage=80)
session.interact_user_following(['natgeo'], amount=10, randomize=True)# Interact with the people that a given user is following
# set_do_comment, set_do_follow and set_do_like are applicable
session.set_user_interact(amount=5, randomize=True, percentage=50, media='Photo')
session.set_do_follow(enabled=False, percentage=70)
session.set_do_like(enabled=False, percentage=70)
session.set_comments(["Cool", "Super!"])
session.set_do_comment(enabled=True, percentage=80)
session.interact_user_followers(['natgeo'], amount=10, randomize=True)# unfollows 10 of the accounts you're following -> instagram will only
# unfollow 10 before you'll be 'blocked for 10 minutes' (if you enter a
# higher number than 10 it will unfollow 10, then wait 10 minutes and will
# continue then).
# You can choose to only unfollow the user that Insta has followed by adding
# onlyInstapyFollowed = True otherwise it will unfollow all users
# You can choose unfollow method as FIFO (First-Input-First-Output) or
# LIFO (Last-Input-First-Output). The default is FIFO method.
# onlyInstapyMethod is using only when onlyInstapyFollowed = True
# sleep_delay sets the time it will sleep every 10 profile unfollow, default
# is 10min
session.unfollow_users(amount=10, onlyInstapyFollowed = True, onlyInstapyMethod = 'FIFO', sleep_delay=60 )
# You can only unfollow user that won't follow you back by adding
# onlyNotFollowMe = True it still only support on profile following
# you should disable onlyInstapyFollowed when use this
session.unfollow_users(amount=10, onlyNotFollowMe=True, sleep_delay=60)
# You can also unfollow users only after following them certain amount of time,
# this will provide seamless unfollow activity without the notice of the targeted user
# To use, just add `unfollow_after` argument with the desired time, e.g.
session.unfollow_users(amount=10, onlyInstapyFollowed = True, onlyInstapyMethod = 'FIFO', sleep_delay=600, unfollow_after=48*60*60)
# will unfollow users only after following them 48 hours (2 days), since `unfollow_after`s value
# is seconds, you can simply give it `unfollow_after=100` to unfollow after 100 seconds,
# but `1*60*60` (which is equal to 1 hour or 3600 seconds) style is a lot simpler to use 👍# Prevents unfollow followers who have liked one of your latest 5 posts
session.set_dont_unfollow_active_users(enabled=True, posts=5)This is used to check the number of followers and/or following a user has and if these numbers either exceed the number set OR does not pass the number set OR if their ratio does not reach desired potency ratio then no further interaction happens
session.set_relationship_bounds(enabled=True,
potency_ratio=1.34,
delimit_by_numbers=True,
max_followers=8500,
max_following=4490,
min_followers=100,
min_following=56)Use enabled=True to activate this feature, and enabled=False to deactivate it, any time
delimit_by_numbers is used to activate & deactivate the usage of max & min values
potency_ratio accepts values in 2 formats according to your style: positive & negative
potency_ratiowith POSITIVE values can be used to route interactions to only potential (real) users WHOSE followers count is higher than following count (e.g.,potency_ratio = 1.39)
find desiredpotency_ratiowith this formula:potency_ratio== followers count / following count (use desired counts)
e.g., target user has
5000followers &4000following and you setpotency_ratio=1.35.
Now it will not interact with this user, cos the user's relationship ratio is5000/4000==1.25and1.25is below desiredpotency_ratioof1.35
potency_ratiowith NEGATIVE values can be used to route interactions to only massive followers WHOSE following count is higher than followers count (e.g.,potency_ratio = -1.42)
find desiredpotency_ratiowith this formula:potency_ratio== following count / followers count (use desired counts)
e.g., target user has
2000followers &3000following and you setpotency_ratio = -1.7.
Now it will not interact with this user, cos the user's relationship ratio is3000/2000==1.5and1.5is below desiredpotency_ratioof1.7(note that, negative-sign is only used to determine your style, nothing more)
- 1. You can use
potency_ratioor not (e.g.,potency_ratio=None,delimit_by_numbers=True) - will decide only by your pre-defined max & min values regardless of thepotency_ratio
session.set_relationship_bounds (enabled=True, potency_ratio=None, delimit_by_numbers=True, max_followers=22668, max_following=10200, min_followers=400, min_following=240)- 2. You can use only
potency_ratio(e.g.,potency_ratio=-1.5,delimit_by_numbers=False) - will decide perpotency_ratioregardless of the pre-defined max & min values
session.set_relationship_bounds (enabled=True, potency_ratio=-1.5, delimit_by_numbers=False, max_followers=400701, max_following=90004, min_followers=963, min_following=2310)apparently, once
delimit_by_numbersgetsFalsevalue, max & min values do not matter
- 3. You can use both
potency_ratioand pre-defined max & min values together (e.g.,potency_ratio=2.35,delimit_by_numbers=True) - will decide perpotency_ratio& your pre-defined max & min values
session.set_relationship_bounds (enabled=True, potency_ratio=2.35, delimit_by_numbers=True, max_followers=10005, max_following=24200, min_followers=77, min_following=500)All of the 4 max & min values are able to freely operate, e.g., you may want to only delimit
max_followersandmin_following(e.g.,max_followers=52639,max_following=None,min_followers=None,min_following=2240)
session.set_relationship_bounds (enabled=True, potency_ratio=-1.44, delimit_by_numbers=True, max_followers=52639, max_following=None, min_followers=None, min_following=2240)This is used to check the number of existing likes a post has and if it either exceed the maximum value set OR does not pass the minimum value set then it will not like that post
session.set_delimit_liking(enabled=True, max=1005, min=20)Use enabled=True to activate and enabled=False to deactivate it, any time
max is the maximum number of likes to compare
min is the minimum number of likes to compare
You can use both max & min values OR one of them as you desire, just put the value of
Noneto the one you don't want to check for., e.g.,
session.set_delimit_liking(enabled=True, max=242, min=None)at this configuration above, it will not check number of the existing likes against minimum value
- Example:
session.set_delimit_liking(enabled=True, max=500, min=7)
Now, if a post has more existing likes than maximum value of 500, then it will not like that post,
similarly, if that post has less existing likes than the minimum value of 7, then it will not like that post...
This is used to check the number of existing comments a post has and if it either exceed the maximum value set OR does not pass the minimum value set then it will not comment on that post
session.set_delimit_commenting(enabled=True, max=32, min=0)Use enabled=True to activate and enabled=False to deactivate it, any time
max is the maximum number of comments to compare
min is the minimum number of comments to compare
You can use both max & min values OR one of them as you desire, just put the value of
Noneto the one you don't want to check for., e.g.,
session.set_delimit_commenting(enabled=True, max=None, min=4)at this configuration above, it will not check number of the existing comments against maximum value
- Example:
session.set_delimit_commenting(enabled=True, max=70, min=5)
Now, if a post has more comments than the maximum value of 70, then it will not comment on that post,
similarly, if that post has less comments than the minimum value of 5, then it will not comment on that post...
session.comment_by_locations(['224442573/salton-sea/'], amount=100)
# or
session.comment_by_locations(['224442573'], amount=100)
# or include media entities from top posts section
session.comment_by_locations(['224442573'], amount=5, skip_top_posts=False)This method allows commenting by locations, without liking posts. To get locations follow instructions in 'Like by Locations'
session.like_by_locations(['224442573/salton-sea/'], amount=100)
# or
session.like_by_locations(['224442573'], amount=100)
# or include media entities from top posts section
session.like_by_locations(['224442573'], amount=5, skip_top_posts=False)You can find locations for the like_by_locations function by:
- Browsing https://www.instagram.com/explore/locations/
- Regular instagram search.
Example:
- Search 'Salton Sea' and select the result with a location icon
- The url is: https://www.instagram.com/explore/locations/224442573/salton-sea/
- Use everything after 'locations/' or just the number
# Like posts based on hashtags
session.like_by_tags(['natgeo', 'world'], amount=10)# Like posts based on hashtags and like 3 posts of its poster
session.set_user_interact(amount=3, randomize=True, percentage=100, media='Photo')
session.like_by_tags(['natgeo', 'world'], amount=10, interact=True)# This is used to perform likes on your own feeds
# amount=100 specifies how many total likes you want to perform
# randomize=True randomly skips posts to be liked on your feed
# unfollow=True unfollows the author of a post which was considered
# inappropriate interact=True visits the author's profile page of a
# certain post and likes a given number of his pictures, then returns to feed
session.like_by_feed(amount=100, randomize=True, unfollow=True, interact=True)# Controls your interactions by campaigns.
# ex. this week InstaPy will like and comment interacting by campaign called
# 'soccer', next time InstaPy runs, it will not interact again with users in
# blacklist
# In general, this means that once we turn off the soccer_campaign again, InstaPy
# will have no track of the people it interacted with about soccer.
# This will help you target people only once but several times for different campaigns
session.set_blacklist(enabled=True, campaign='soccer_campaign')
session.set_do_comment(True, percentage=50)
session.set_comments(['Neymar is better than CR7', 'Soccer is cool'])
session.like_by_tags(['soccer', 'cr7', 'neymar'], amount=100, media='Photo')# Generate smart hashtags based on https://displaypurposes.com ranking,
# banned and spammy tags are filtered out.
# (limit) defines amount limit of generated hashtags by hashtag
# (sort) sort generated hashtag list 'top' and 'random' are available
# (log_tags) shows generated hashtags before use it
# (use_smart_hashtags) activates like_by_tag to use smart hashtags
session.set_smart_hashtags(['cycling', 'roadbike'], limit=3, sort='top', log_tags=True)
session.like_by_tags(amount=10, use_smart_hashtags=True)session.set_dont_like(['#exactmatch', '[startswith', ']endswith', 'broadmatch']).set_dont_like searches the description and owner comments for hashtags and
won't like the image if one of those hashtags are in there
You have 4 options to exclude posts from your InstaPy session:
- words starting with
#will match only exact hashtags (e. g.#catmatches#cat, but not#catpic) - words starting with
[will match all hashtags starting with your word (e. g.[catmatches#catpic,#caturdayand so on) - words starting with
]will match all hashtags ending with your word (e. g.]catmatches#mycat,#instacatand so on) - words without these prefixes will match all hashtags that contain your word regardless if it is placed at the beginning, middle or end of the hashtag (e. g.
catwill match#cat,#mycat,#caturday,#rainingcatsanddogsand so on)
# completely ignore liking images from certain users
session.set_ignore_users(['random_user', 'another_username'])# will ignore the don't like if the description contains
# one of the given words
session.set_ignore_if_contains(['glutenfree', 'french', 'tasty'])# will prevent commenting on and unfollowing your good friends (the images will
# still be liked)
session.set_dont_include(['friend1', 'friend2', 'friend3'])If you notice that one or more of the above functionalities are not working as expected - e.g. you have specified:
session.set_do_follow(enabled=True, percentage=10, times=2)but none of the profiles are being followed - or any such functionality is misbehaving - then one thing you should check is the position/order of such methods in your script. Essentially, all the set_* methods have to be before like_by_tags or like_by_locations or unfollow. This is also implicit in all the exmples and quickstart.py
If you're having issues with the "we detected an unusual login attempt" message, you can bypass it setting InstaPy in this way:
session = InstaPy(username=insta_username, password=insta_password, bypass_suspicious_attempt=True)bypass_suspicious_attempt=True will send the verification code to your
email, and you will be prompted to enter the security code sent to your email.
It will login to your account, now you can set bypass_suspicious_attempt to False
bypass_suspicious_attempt=False and InstaPy will quickly login using cookies.
You can use InstaPy behind a proxy by specifying server address and port
session = InstaPy(username=insta_username, password=insta_password, proxy_address='8.8.8.8', proxy_port=8080)To use proxy with authentication you should firstly generate proxy chrome extension (works only with Chrome and headless_browser=False).
from proxy_extension import create_proxy_extension
proxy = 'login:password@ip:port'
proxy_chrome_extension = create_proxy_extension(proxy)
session = InstaPy(username=insta_username, password=insta_password, proxy_chrome_extension=proxy_chrome_extension, nogui=True)Chrome is the default browser, but InstaPy provides support for Firefox as well.
session = InstaPy(username=insta_username, password=insta_password, use_firefox=True)To use an emoji just add an u in front of the opening apostrophe:
session.set_comments([u'This post is 🔥',u'More emojis are always better 💯',u'I love your posts 😍😍😍']);
# or
session.set_comments([u'Emoji text codes are also supported :100: :thumbsup: :thumbs_up: \u2764 💯💯']);
Emoji text codes are implemented using 2 different naming codes. A complete list of emojis codes can be found on the Python Emoji Github, but you can use the alternate shorted naming scheme found for Emoji text codes here. Note: Every Emoji has not been tested. Please report any inconsistencies.
Legacy Emoji Support
You can still use Unicode strings in your comments, but there are some limitations.
You can use only Unicode characters with no more than 4 characters and you have to use the unicode code (e. g.
\u1234). You find a list of emoji with unicode codes on Wikipedia, but there is also a list of working emoji in/assetsYou have to convert your comment to Unicode. This can safely be done by adding an u in front of the opening apostrophe:
u'\u1234 some comment'
Note: Head over to https://developer.clarifai.com/signup/ and create a free account, once you’re logged in go to https://developer.clarifai.com/account/applications/ and create a new application. You can find the client ID and Secret there. You get 5000 API-calls free/month.
If you want the script to get your CLARIFAI_API_KEY for your environment, you can do:
export CLARIFAI_API_KEY="<API KEY>"
session.set_do_comment(True, percentage=10)
session.set_comments(['Cool!', 'Awesome!', 'Nice!'])
session.set_use_clarifai(enabled=True)
session.clarifai_check_img_for(['nsfw'])
session.clarifai_check_img_for(['food', 'lunch', 'dinner'], comment=True, comments=['Tasty!', 'Nice!', 'Yum!'])
session.end()# default enabled=False , enables the checking with the clarifai api (image
# tagging) if secret and proj_id are not set, it will get the environment
# variables 'CLARIFAI_API_KEY'
session.set_use_clarifai(enabled=True, api_key='xxx')# uses the clarifai api to check if the image contains nsfw content
# -> won't comment if image is nsfw
session.clarifai_check_img_for(['nsfw'])# checks the image for keywords food and lunch, if both are found,
# comments with the given comments. If full_match is False (default), it only
# requires a single tag to match Clarifai results.
session.clarifai_check_img_for(['food', 'lunch'], comment=True, comments=['Tasty!', 'Yum!'], full_match=True)Check out https://clarifai.com/demo to see some of the available tags.
Use the nogui parameter to interact with virtual display
session = InstaPy(username='test', password='test', nogui=True)
Note: Chrome only! Must user chromedriver v2.9+
Use headless_browser parameter to run the bot via the CLI. Works great if running the scripts locally, or to deploy on a server. No GUI, less CPU intensive. Example
session = InstaPy(username='test', password='test', headless_browser=True)
Use the multi_logs parameter if you are going to use multiple accounts and want the log files stored per account.
session = InstaPy(username='test', password='test', multi_logs=True)
Docker allows very easy and fast run of the instapy bot without any pain and tears.
Install docker from the official website https://www.docker.com/
Install VNC viewer if you do not have one. For windows, a good program is http://www.tightvnc.com/
Open docker_quickstart.py and fill the quotes after insta_username and insta_password with your credentials.
Don't forget to make other changes for the file as you want to. Read the documentation above for info.
First you need to open your terminal, move to the root folder (usually with the cd command) of instapy project and then type:
docker-compose up -d --buildThat's all! At this step, you are already successfully running your personal bot!
Run your VNC viewer, and type address and port localhost:5900. The password is secret.
Use your terminal again, type in the same window:
docker-compose downYour bot is stopped!
Those are just basic steps to run instapy bot on your PC with docker. There are other docker-compose settings file in the root of project.
Use it to help us with development and test instapy! docker-dev.yml file.
docker-compose -f docker-dev.yml up -dAfter striking this command, you can access your bot by VNC on the adress localhost:5901, the password is secret.
But there is more! There is a fully accessible bash console with all code mounted at the path /code. When you hack some files they are dynamically updated inside your container.
To access yor container console to run bot type localhost:22 in your favorite ssh client. The User is root and the password is root also.
Suitable to run in a remote server. Attention! You can not view what happened through VNC on this configuration docker-prod.yml file.
docker-compose -f docker-prod.yml up -dFirst you need to build the image by running this in the Terminal:
docker build -t instapy ./docker_conf/all_in_oneMake sure to use the nogui feature:
# you can use the nogui parameter to use a virtual display
session = InstaPy(username='test', password='test', nogui=True)After the build succeeds, you can simply run the container with:
docker run --name=instapy -e INSTA_USER=<your-user> -e INSTA_PW=<your-pw> -d --rm instapyYou can use Window's built in Task Scheduler to automate InstaPy, using a variety of trigger types: time, login, computer idles, etc. To schedule a simple daily run of an Instapy script follow the below directions
- Open Windows Task Scheduler
- Select "Create Basic Task"
- Fill out "Name" and "Description" as desired, click "Next"
- On "Trigger" screen select how frequently to run, click "Next" (Frequency can be modified later)
- On "Daily" screen, hit "Next"
- "Action Screen" select "Start a program" and then click "Next"
- "Program/script" enter the path, or browse to select the path to python. (How to find python path on Windows)
- "Add arguments" input the InstaPy script path you wish to run. (Example: C:\Users\USER_NAME\Documents\GitHub\InstaPy\craigquick.py)
- "Start in" input Instapy install location (Example: C:\Users\USER_NAME\Documents\GitHub\InstaPy). Click "Next"
- To finish the process, hit "Finish"
You can add InstaPy to your crontab, so that the script will be executed regularly. This is especially useful for servers, but be sure not to break Instagrams follow and like limits.
# Edit or create a crontab
crontab -e
# Add information to execute your InstaPy regularly.
# With cd you navigate to your InstaPy folder, with the part after &&
# you execute your quickstart.py with python. Make sure that those paths match
# your environment.
45 */4 * * * cd /home/user/InstaPy && /usr/bin/python ./quickstart.py
Schedule is an in-process scheduler for periodic jobs that uses the builder pattern for configuration. Schedule lets you run Python functions periodically at pre-determined intervals using a simple, human-friendly syntax.
pip install schedulefrom instapy import InstaPy
import schedule
import time
def job():
try:
session = InstaPy(selenium_local_session=False) # Assuming running in Compose
session.set_selenium_remote_session(selenium_url='http://selenium:4444/wd/hub')
session.login()
session.set_do_comment(enabled=True, percentage=20)
session.set_comments(['Well done!'])
session.set_do_follow(enabled=True, percentage=5, times=2)
session.like_by_tags(['love'], amount=100, media='Photo')
session.end()
except:
import traceback
print(traceback.format_exc())
schedule.every().day.at("6:35").do(job)
schedule.every().day.at("16:22").do(job)
while True:
schedule.run_pending()
time.sleep(1)Built-in delays prevent your account from getting banned. (Just make sure you don't like 1000s of post/day)
64-bit system is a requirement for current versions of chrome browser.