spam-bot-3000

A python command-line (CLI) bot for automating research and promotion on popular social media platforms (reddit, twitter, facebook, [TODO: instagram]). With a single command, scrape social media sites using custom queries and/or promote to all relevant results.

Please use with discretion: i.e. choose your input arguments wisely, otherwise your bot could find itself, along with any associated accounts, banned from platforms very quickly. The bot has some built in anti-spam filter avoidance features to help you remain undetected; however, no amount of avoidance can hide blatantly abusive use of this tool.

features

• reddit
  • scrape subreddit(s) for lists of keyword, dump results in local file (red_scrape_dump.txt)
    • separate keyword lists for AND, OR, NOT search operations (red_subkey_pairs.json)
    • search new, hot, or rising categories
  • reply to posts in red_scrape_dump.txt with random promotion from red_promos.txt
    • ignore posts by marking them in dump file with "-" prefix
  • praw.errors.HTTPException handling
  • write all activity to log (log.txt)
• twitter
  • maintain separate jobs for different promotion projects
  • update user status
  • unfollow users who don't reciprocate your follow
  • scan twitter for list of custom queries, dump results in local file (twit_scrape_dump.txt)
    • scan continuously or in overwatch mode
  • optional bypassing of proprietary twitter APIs and their inherent limitations
  • promotion abilities
    • tweepy api
      • follow original posters
      • favorite relevant tweets
      • direct message relevant tweets
      • reply to relevant tweets with random promotional tweet from file (twit_promos.txt)
    • Selenium GUI browser
      • favorite, follow, reply to scraped results while bypassing API limits
    • ignore tweets by marking them in dump file with "-" prefix
  • script for new keyword, hashtag research by gleening scraped results
  • script for filtering out irrelevant keywords, hashtags, screen names
  • script for automating scraping, filtering, and spamming only most relevant results
  • relatively graceful exception handling
  • write all activity to log (log.txt)
• facebook
  • zero reliance on proprietary facebook APIs and their inherent limitations
  • Selenium GUI browser agent
  • scrape public and private user profiles for keywords using AND, OR, NOT operators
    • note: access to private data requires login to authorized account with associated access
  • scrape public and private group feeds for keywords using AND, OR, NOT operators

dependencies

• install dependencies you probably don't have already, errors will show up if you're missing any others
  • install pip3 sudo apt install python3-pip
  • install dependencies pip3 install --user tweepy bs4 praw selenium

reddit initial setup

• update 'praw.ini' with your reddit app credentials
  • how to register a new reddit app
• replace example promotions (red_promos.txt) with your own
• replace example subreddits and keywords (red_subkey_pairs.json) with your own
  • you'll have to follow the existing json format
  • keywords_and: all keywords in this list must be present for positive matching result
  • keywords_or: at least one keyword in this list must be present for positive match
  • keywords_not: none of these keywords can be present in a positive match
  • any of the three lists may be omitted by leaving it empty - e.g. "keywords_not": []

<praw.ini>

...

[bot1]
client_id=Y4PJOclpDQy3xZ
client_secret=UkGLTe6oqsMk5nHCJTHLrwgvHpr
password=pni9ubeht4wd50gk
username=fakebot1
user_agent=fakebot 0.1

<red_subkey_pairs.json>

{"sub_key_pairs": [
{
  "subreddits": "androidapps",
  "keywords_and": ["list", "?"],
  "keywords_or": ["todo", "app", "android"],
  "keywords_not": ["playlist", "listen"]
}
]}

reddit usage

usage: spam-bot-3000.py reddit [-h] [-s N] [-n | -H | -r] [-p]

optional arguments:
  -h,	--help		show this help message and exit
  -s N,	--scrape N	scrape subreddits in subreddits.txt for keywords in red_keywords.txt; N = number of posts to scrape
  -n,	--new		scrape new posts
  -H,	--hot		scrape hot posts
  -r,	--rising	scrape rising posts
  -p,	--promote	promote to posts in red_scrape_dump.txt not marked with a "-" prefix

twitter initial setup

• create new directory to store new job data in (e.g. studfinder_example/)
• create new 'credentials.txt' file in job directory to store your twitter app's credentials
  • a good guide for how to get twitter credentials

<credentials.txt>

your_consumer_key
your_consumer_secret
your_access_token
your_access_token_secret
your_twitter_username
your_twitter_password

• create new 'twit_promos.txt' in job directory to store your job's promotions to spam
  • individual tweets on seperate lines
  • each line must by <= 140 characters long
• create new 'twit_queries.txt' in job directory to store your job's queries to scrape twitter for
  • individual queries on seperate lines
  • guide to constructing twitter queries
• create new 'twit_scrape_dump.txt' file to store your job's returned scrape results

twitter usage

usage: spam-bot-3000.py twitter [-h] [-j JOB_DIR] [-t] [-u UNF] [-s] [-c] [-e] [-b]
                          [-f] [-p] [-d]
spam-bot-3000
optional arguments:
 -h, --help		show this help message and exit
 -j JOB_DIR, --job JOB_DIR
	                choose job to run by specifying job's relative directory
 -t, --tweet-status 	update status with random promo from twit_promos.txt
 -u UNF, --unfollow UNF
                        unfollow users who aren't following you back, UNF=number to unfollow

 query:
 -s, --scrape		scrape for tweets matching queries in twit_queries.txt
 -c, --continuous	scape continuously - suppress prompt to continue after 50 results per query
 -e, --english         	return only tweets written in English

spam -> browser:
 -b, --browser          favorite, follow, reply to all scraped results and
                        thwart api limits by mimicking human in browser!

spam -> tweepy api:
 -f, --follow		follow original tweeters in twit_scrape_dump.txt
 -p, --promote		favorite tweets and reply to tweeters in twit_scrape_dump.txt with random promo from twit_promos.txt
 -d, --direct-message	direct message tweeters in twit_scrape_dump.txt with random promo from twit_promos.txt

twitter example workflows

1. continuous mode
   • -cspf scrape and promote to all tweets matching queries
2. overwatch mode
   • -s scrape first
   • manually edit twit_scrape_dump.txt
     • add '-' to beginning of line to ignore
     • leave line unaltered to promote to
   • -pf then promote to remaining tweets in twit_scrape_dump.txt
3. gleen common keywords, hashtags, screen names from scrape dumps
   • bash gleen_keywords_from_twit_scrape.bash
     • input file: twit_scrape_dump.txt
     • output file: gleened_keywords.txt
       • results ordered by most occurrences first
4. filter out keywords/hashtags from scrape dump
   • manually edit gleened_keywords.txt by removing all relevent results
   • filter_out_strings_from_twit_scrape.bash
     • keywords input file: gleened_keywords.txt
     • input file: twit_scrape_dump.txt
     • output file: twit_scrp_dmp_filtd.txt
5. browser mode
   • -b thwart api limits by promoting to scraped results directly in firefox browser
     • add username and password to lines 5 and 6 of credentials.txt respectively
6. automatic scrape, filter, spam
   • auto_spam.bash
     • automatically scrape twitter for queries, filter out results to ignore, and spam remaining results
7. specify job
   • -j studfinder_example/ specify which job directory to execute

Note: if you don't want to maintain individual jobs in separate directories, you may create single credentials, queries, promos, and scrape dump files in main working directory.

facebook initial setup

• create new client folder in 'facebook/clients/YOUR_CLIENT'
• create new 'jobs.json' file to store your client's job information in the following format:

<jobs.json>

{"client_data":
	{"name": "",
	"email": "",
	"fb_login": "",
	"fb_password": "",
	"jobs": [
		{"type": "groups",
			"urls": ["",""],
			"keywords_and": ["",""],
			"keywords_or": ["",""],
			"keywords_not": ["",""] },
		{"type": "users",
			"urls": [],
			"keywords_and": [],
			"keywords_or": [],
			"keywords_not": [] }
	]}
}

facebook usage

• scrape user and group feed urls for keywords
  • facebook-scraper.py clients/YOUR_CLIENT/
    • results output to 'clients/YOUR_CLIENT/results.txt'

TODO

• Flesh out additional suite of promotion and interaction tool for facebook platform
• Organize platforms and their associated data and tools into their own folders and python scripts
• Future updates will include modules for scraping and promoting to Instagram.