doing applied fediverse research
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#!/usr/bin/env python3
# fedicrawler v5
import requests, json
from multiprocessing.dummy import Pool as ThreadPool
from urllib.parse import urlparse
proxies = {
'http':'socks5://localhost:12345',
'http':'socks5://localhost:12345'}
def not_gab(instance):
#gab does some weird stuff wrt enumerating subdomains
#example: epa1pu1qcxxyzcxher0u.gab.best
if instance:
if 'gab.best'in instance:
print('GAB', instance)
return False
# the ones below are mostly used for testing apps
elif 'ngrok.io' in instance:
print('NGROK', instance)
return False
elif 'glitch.me' in instance:
print('GLITCH', instance)
return False
elif 'netlify.app' in instance:
print('NETLIFY', instance)
else:
return True
else:
return False
def only_netloc(instance):
#some peerlists return stuff like
#mastodon.social/users/blabla or
#domain.tld/friendica which are all invalid
netloc = urlparse('https://'+instance).netloc
print(netloc)
return netloc
def multi_filter(fs, l):
# https://www.reddit.com/r/Python/comments/6xefvp/applying_multiple_filters_to_a_list/
if not fs:
return l
return multi_filter(fs[1:], (x for x in l if fs[0](x)))
def get_peers(instance):
#this is really from the assumption that combined Mastodon & Pleroma
#instances have enough view of entire fediverse to rely only on those
try:
r = requests.get('https://'+instance+'/api/v1/instance/peers', timeout=3, proxies=proxies)
if r.status_code == 200:
peers = r.json()
print(instance, 'peers with', len(peers))
return peers
else:
# 404s etc
#print('fail: got {} on {}'.format(r.status_code, instance))
return
except Exception as e:
#network errors etc
#print('fail on',instance, e)
print(e)
return
def get_nodeinfo(instance):
nodeinfo_probe = '/.well-known/nodeinfo'
try:
r = requests.get('https://{}{}'.format(instance, nodeinfo_probe),timeout=3, proxies=proxies)
if r.status_code == 200:
nodeinfo_endpoint = r.json()['links'][0]['href']
print(nodeinfo_endpoint)
r = requests.get(nodeinfo_endpoint, timeout=3, proxies=proxies)
if r.status_code == 200:
info = {'nodeinfo':r.json()}
else:
info = {'error': r.status_code}
else:
info = {'error': r.status_code}
except Exception as e:
info = {'error': str(e)}
#print(e)
return info
def get_instance_info(instance):
## no longer used but keeping aroudnd for later maybe
#instance_info = '/api/v1/instance'
instance_info = '/.well-known/nodeinfo'
try:
r = requests.get('https://'+instance+instance_info, timeout=10, proxies=proxies)
if r.status_code == 200:
info = r.json()
print('info request for {} succeeded'.format(instance))
elif r.status_code == 400:
#try to see if its peertube, probably should use a better method
pt = requests.get('https://'+instance+'/api/v1/config')
if pt.status_code == 200:
print('info request for {} succeeded, peertube'.format(instance))
info = pt.json()
else:
info = {'error': r.status_code}
else:
#if we get any other http code.. probably needs fixing
info = {'error': r.status_code}
except ConnectionError as e:
info = {'error': 'Connection error: '+str(e)}
except Exception as e:
info = {'error': str(e)}
return info
def fedicrawler():
start_url = 'https://post.lurk.org'
activity = ''
peers_info ='/api/v1/instance/peers'
pool = ThreadPool(512)
filters = [not_gab, only_netloc] #what to filter out
instances = set([])
r = requests.get(start_url+peers_info) # normal brain, initial peer list
if r. status_code == 200:
start_peers = pool.map(get_peers, r.json()) #expanding brain, get all peers of those initial peers
for i in start_peers:
if not i:
start_peers.remove(i)
else:
pool.map(instances.add, i)
# for i in r.json():
# instances.add(i)
instances = set(multi_filter(filters,instances)) # apply filters before we move to network
network = pool.map(get_peers, instances) #galaxy brain, get all peers of all peers of the initial peers
for peer_list in network:
if peer_list:
for instance in peer_list:
if not_gab(instance): #prevent gab.best subdomain enumeration
instances.add(instance)
instances = set(multi_filter(filters,instances))
instance_info = pool.map(get_nodeinfo, instances)
scrape = {}
instances_list = list(instances)
for count, value in enumerate(instances_list):
scrape[value] = instance_info[count]
print('found {} instances'.format(len(scrape)))
pool.close()
pool.join()
with open('instance_scrape.json','w') as f:
f.write(json.dumps(scrape,indent=4))
#f.write('\n'.join(text)
if __name__ == '__main__':
fedicrawler()