Google Suggest
import suggests
import networkx as nx
import pyvis
import time
from pyvis.network import Network
import pickle
kw='郁琇琇'
s = suggests.suggests.get_suggests(kw, source='google')
G = nx.Graph()
#G = pickle.load( open( "gs.p", "rb" ) )
for sg in s['suggests']:
G.add_edge(kw,sg,weight=1)
print(sg)
time.sleep(1)
s2 = suggests.suggests.get_suggests(sg, source='google')
for elmt in s2['suggests']:
G.add_edge(sg,elmt,weight=1)
G.remove_edges_from( list(nx.selfloop_edges(G)))
pickle.dump( G, open( "gs.p", "wb" ) )
pyG = Network(height="750px", width="100%",bgcolor="#333333",font_color="white")
pyG.from_nx(G)
pyG.show('gs.html')
google suggest