Disclaimer: The whole Application is for educational purposes only.
Make sure to get the right chromedriver for your system from here. Put it in app/assets and add a valid instagram account in the config.json.
cd instabot
bash linuxsetup.shMake sure to put a valid instagram account in the config.json
Requirements: Python3, Pip3, node, npm, php, php compose, chrome browser
cd instabot
./macsetupThe Dashboard consists of 3 parts
- Website (Dashboard GUI)
- Node.js server
- Python Remote Executer
Running on port localhost:3000
Node.js Server:
cd dashboard
node index.jsPython Remote Executer:
cd app
python3 remoteExec.pyYou can start and use the micro services on it's own. They are located at app/Services/Content.
Returns different information from a Instagram account:
- timestamp
- username
- follower_count
- following_count
- media_count
- usertags_count
- feed_items
- likes
- comments
from Services.Content import Statistics
username = 'someusername'
res = Statistics.getUserInformation(username)Use carefully on users with a lot of posts (1000+), long duration loading times and potential ban of the parser account, because of to many API calls: about one for each ~18 posts.
The received data gets returned and written into savedStatus/userinformation.json.
Grabs different comments for a specified topic.
from Services.Content import Comments
topic='dog'
maxpp=2
num=10
res = Comments.getComments(topic, maxpp, num)Where topic is your specified hashtag, maxpp is the number of comments grabbed per picture and num is the overall number of comments which get returned.
The received data gets returned and written into savedStatus/comments.json.
Finds similar hashtags to one given hashtag.
from Services.Content import Hashtags
topic= 'dog'
amount= 15
res = Hashtags.generate(topic, amount)The received data gets returned and written into savedStatus/hashtags.json.
Finds similar hashtags to one given hashtag.
from Services.Content import Images
topic= 'dog'
res = Images.generate(topic)The received image links gets returned and written into savedStatus/images.json.
The HumanScheduler adds some random delay between executed tasks
from Services.Scheduling import HumanScheduler
from Services.Tasks import InstaPySession
Tasks = [InstaPySession.InstaPyTask, InstaPySession.InstaPyTask, UploadImage.uploadTask]
HumanScheduler.mainloop(Tasks)The SleepJob stops the bot in the evening and wakes him up in the morning like a real human.
from Services.Scheduling import SleepJob
from Services.Scheduling import HumanScheduler
from Services.Tasks import InstaPySession
Tasks = [InstaPySession.InstaPyTask, InstaPySession.InstaPyTask, UploadImage.uploadTask]
SleepJob.start(HumanScheduler.mainloop, Tasks)This is used as another layer around the HumanScheduler
This service uses gathered data to make posts. This can be a Task for the Scheduler
from Services.Tasks import UploadImage
UploadImage.uploadTask.run()The following code will access the saved data under ./app/savedStatus -> So make sure hashtags and Images have already been generated.
To configure the project change the example config file (./config.json)
{
"username": "someinstagramaccount",
"password": "somepassword",
"amountOfHashtags": 10,
"topic": "computer",
"wakeUpHour": 8,
"sleepHour": 22,
"marginTime": 1.5,
"maxImagesPerDay": 18,
"minImagesPerDay": 4,
"maxLikePerDay": 900,
"minLikePerDay": 100,
"percentageToFollow": 6.66,
"lowerFollowerCount": 2,
"upperFollowerCount": 400,
"minBreakAfterATaskInMinutes": 1.00,
"maxBreakAfterATaskInMinutes": 60.00
}
- What means: checkpoint_required response? -> Account blocked, login manually and unlock it with sms code.
Licence MIT
Credits: David Bochan, Moritz Gruber