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https://github.com/funkypenguin/geek-cookbook/
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137 lines
5.8 KiB
Markdown
137 lines
5.8 KiB
Markdown
hero: Automate your social life! (what could go wrong?)
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# InstaPy
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[InstaPy](https://github.com/timgrossmann/InstaPy) is an Instagram bot, developed by [Tim Grossman](https://github.com/timgrossmann). Tim describes his motivation and experiences developing the bot [here](https://medium.freecodecamp.org/my-open-source-instagram-bot-got-me-2-500-real-followers-for-5-in-server-costs-e40491358340).
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What's an Instagram bot? Basically, you feed the bot your Instagram user/password, and it executes follows/unfollows/likes/comments on your behalf based on rules you set. (_I set my bot to like one photo tagged with "[#penguin](https://www.instagram.com/explore/tags/penguin/?hl=en)" per-run_)
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Great power, right? A client (_yes, you can [hire](https://www.funkypenguin.co.nz/contact/) me!_) asked me to integrate InstaPy into their swarm, and this recipe is the result.
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## Ingredients
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1. [Docker swarm cluster](/ha-docker-swarm/design/) with [persistent shared storage](/ha-docker-swarm/shared-storage-ceph.md)
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## Preparation
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### Setup data locations
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We need a data location to store InstaPy's config, as well as its log files. Create /var/data/instapy per below
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```
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mkdir -p /var/data/instapy/logs
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```
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### Setup Docker Swarm
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Create a docker swarm config file in docker-compose syntax (v3), something like this:
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!!! tip
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I share (_with my [patreon patrons](https://www.patreon.com/funkypenguin)_) a private "_premix_" git repository, which includes necessary docker-compose and env files for all published recipes. This means that patrons can launch any recipe with just a ```git pull``` and a ```docker stack deploy``` 👍
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```
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version: '3'
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services:
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web:
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command: ["./wait-for", "selenium:4444", "--", "python", "docker_quickstart.py"]
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environment:
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- PYTHONUNBUFFERED=0
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# Modify the image to whatever Tim's image tag ends up as. I used funkypenguin/instapy for my build
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image: funkypenguin/instapy:latest
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# When using swarm, you can't use relative paths, so the following needs to be set to the full filesystem path to your logs and docker_quickstart.py
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# Bind-mount docker_quickstart.py, since now that we're using a public image, we can't "bake" our credentials into the image anymore
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volumes:
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- /var/data/instapy/logs:/code/logs
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- var/data/instapy/instapy.py:/code/docker_quickstart.py:ro
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# This section allows docker to restart the container when it exits (either normally or abnormally), which ensures that
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# InstaPy keeps re-running. Tweak the delay to avoid being banned for excessive activity
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deploy:
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restart_policy:
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condition: any
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delay: 3600s
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selenium:
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image: selenium/standalone-chrome-debug
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ports:
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- "5900:5900"
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```
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!!! note
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Setup unique static subnets for every stack you deploy. This avoids IP/gateway conflicts which can otherwise occur when you're creating/removing stacks a lot. See [my list](/reference/networks/) here.
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### Command your bot
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Create a variation of https://github.com/timgrossmann/InstaPy/blob/master/docker_quickstart.py at /var/data/instapy/instapy.py (the file we bind-mounted in the swarm config above)
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Change at least the following:
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````
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insta_username = ''
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insta_password = ''
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````
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Here's an example of my config, set to like a single penguin-pic per run:
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```
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insta_username = 'funkypenguin'
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insta_password = 'followmemypersonalbrandisawesome'
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dont_like = ['food','girl','batman','gotham','dead','nsfw','porn','slut','baby','tv','athlete','nhl','hockey','estate','music','band','clothes']
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friend_list = ['therock','ruinporn']
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# If you want to enter your Instagram Credentials directly just enter
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# username=<your-username-here> and password=<your-password> into InstaPy
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# e.g like so InstaPy(username="instagram", password="test1234")
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bot = InstaPy(username='insta_username', password='insta_password', selenium_local_session=False)
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bot.set_selenium_remote_session(selenium_url='http://selenium:4444/wd/hub')
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bot.login()
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bot.set_upper_follower_count(limit=10000)
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bot.set_lower_follower_count(limit=10)
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bot.set_comments([u'Cool :penguin:!', u'Awesome :penguin:!!', u'Nice :penguin:!!'])
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bot.set_dont_include(friend_list)
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bot.set_dont_like(dont_like)
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#bot.set_ignore_if_contains(ignore_words)
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# OK, so go through my feed and like stuff, interacting with people I follow
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# bot.like_by_feed(amount=3, randomize=True, unfollow=True, interact=True)
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# Now find posts tagged as #penguin, and like 'em, commenting 50% of the time
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bot.set_do_comment(True, percentage=50)
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bot.set_comments([u'Cool :penguin:!', u'Awesome :penguin:!!', u'Nice :penguin:!!'])
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bot.like_by_tags(['#penguin'], amount=1)
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# goodnight, sweet bot
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bot.end()
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```
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## Serving
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### Destroy all humans
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Launch the bot by running ```docker stack deploy instapy -c <path -to-docker-compose.yml>```
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While you're waiting for Docker to pull down the images, educate yourself on the risk of a robotic uprising:
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<iframe width="560" height="315" src="https://www.youtube.com/embed/B1BdQcJ2ZYY" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
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After swarm deploys, you won't see much, but you can monitor what InstaPy is doing, by running ```docker service logs instapy_web```.
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You can **also** watch the bot at work by VNCing to your docker swarm, password "secret". You'll see Selenium browser window cycling away, interacting with all your real/fake friends on Instagram :)
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## Chef's Notes
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1. Amazingly, my bot has ended up tagging more _non-penguins_ than actual penguins. I don't understand how Instagrammers come up with their hashtags!
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### Tip your waiter (donate) 👏
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Did you receive excellent service? Want to make your waiter happy? (_..and support development of current and future recipes!_) See the [support](/support/) page for (_free or paid)_ ways to say thank you! 👏
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### Your comments? 💬
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