I
nte
rna
t
io
na
l J
o
urna
l o
f
Adv
a
nces in Applie
d Science
s
(
I
J
AAS)
Vo
l.
4
,
No
.
4
,
Dec
em
b
er
201
5
,
p
p
.
146
~
150
I
SS
N:
2252
-
8814
146
J
o
ur
na
l ho
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a
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e
:
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ttp
:
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p
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/I
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AAS
Co
m
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dity
Price
Data
Analy
sis
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crap
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.
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ra
Ra
o
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hit
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et
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M
.
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V.
K
.
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a
nira
j
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K
.
N.
S.
Da
t
t
u,
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.
Sn
eha
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ng
a
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L.
Un
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y
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d
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sw
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icle
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nfo
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ticle
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to
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y:
R
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ed
Sep
20
,
2
0
1
5
R
ev
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No
v
18
,
2
0
1
5
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cc
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ted
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2
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T
o
d
a
y
,
a
n
a
l
y
sis
o
f
d
a
ta
w
h
ich
is
a
v
a
il
a
b
le
o
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th
e
w
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b
h
a
s
b
e
c
o
m
e
m
o
r
e
p
o
p
u
lar,
b
y
u
sin
g
su
c
h
d
a
ta
w
e
a
r
e
c
a
p
a
b
le
to
so
lv
e
m
a
n
y
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e
s.
Ou
r
p
r
o
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d
e
a
ls
w
it
h
th
e
a
n
a
l
y
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o
f
c
o
m
m
o
d
it
y
p
rice
d
a
ta
a
v
a
il
a
b
le
o
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e
we
b
.
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g
e
n
e
ra
l,
c
o
m
m
o
d
it
y
p
rice
d
a
ta
a
n
a
ly
sis
is
p
e
r
f
o
r
m
e
d
to
k
n
o
w
in
flatio
n
ra
te
p
re
v
a
il
in
g
in
th
e
c
o
u
n
try
a
n
d
a
ls
o
to
k
n
o
w
c
o
st
p
rice
in
d
e
x
(CP
I).
P
re
se
n
tl
y
in
so
m
e
c
o
u
n
tri
e
s
th
is
a
n
a
ly
sis
is
d
o
n
e
m
a
n
u
a
ll
y
b
y
c
o
ll
e
c
ti
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g
d
a
ta
f
ro
m
d
if
fe
re
n
t
c
it
ies
,
th
e
n
c
a
lcu
late
i
n
f
latio
n
a
n
d
C
P
I
u
si
n
g
so
m
e
p
re
d
e
f
in
e
d
f
o
r
m
u
lae
.
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o
m
a
k
e
th
is
e
n
ti
re
p
ro
c
e
ss
a
u
to
m
a
ti
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w
e
a
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d
e
v
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o
p
i
n
g
th
is
p
ro
jec
t.
N
o
w
a
d
a
y
’s
m
o
st
o
f
th
e
c
u
sto
m
e
rs
a
re
d
e
p
e
n
d
in
g
o
n
o
n
li
n
e
w
e
b
site
s
f
o
r
th
e
ir
d
a
y
to
d
a
y
p
u
rc
h
a
se
s.
T
h
is
is
th
e
re
a
so
n
we
a
re
i
m
p
lem
e
n
ti
n
g
a
s
y
ste
m
to
c
o
ll
e
c
t
th
e
d
a
ta
a
v
a
il
a
b
le
in
v
a
rio
u
s
e
-
c
o
m
m
e
r
c
e
sites
f
o
r
c
o
m
m
o
d
it
y
p
rice
a
n
a
l
y
sis.
He
r
e
,
we
a
r
e
g
o
in
g
to
in
tro
d
u
c
e
a
d
a
ta
sc
ra
p
in
g
tec
h
n
iq
u
e
w
h
ich
e
n
a
b
les
u
s
to
c
o
ll
e
c
t
d
a
ta
o
f
v
a
rio
u
s
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ro
d
u
c
ts
a
v
a
il
a
b
le
o
n
li
n
e
a
n
d
t
h
e
n
sto
re
it
i
n
a
d
a
tab
a
se
th
e
re
a
f
ter
we
p
e
r
f
o
r
m
a
n
a
l
y
si
s o
n
th
e
m
.
B
y
th
is
p
ro
c
e
ss
w
e
c
a
n
re
d
u
c
e
th
e
b
u
rd
e
n
o
f
c
o
ll
e
c
ti
n
g
d
a
ta
m
a
n
u
a
ll
y
b
y
re
a
c
h
in
g
v
a
rio
u
s
c
it
ies
.
T
h
e
sy
st
e
m
c
o
n
sists
o
f
w
e
b
m
o
d
u
le
w
h
ich
p
e
rf
o
rm
a
n
a
ly
sis a
n
d
v
isu
a
li
z
a
ti
o
n
o
f
d
a
ta
a
v
a
il
a
b
le i
n
th
e
d
a
tab
a
se
.
K
ey
w
o
r
d
:
C
o
m
m
o
d
it
y
C
P
I
I
n
f
lat
io
n
Scr
ap
in
g
Vis
u
a
lizatio
n
Co
p
y
rig
h
t
©
201
5
In
s
t
it
u
te o
f
A
d
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts
re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
M.
Ka
m
es
w
ar
a
R
ao
,
K.
L.
Un
i
v
er
s
i
t
y
,
Vad
d
es
w
ar
a
m
,
Gu
n
t
u
r
,
An
d
h
r
ap
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ad
esh
,
I
n
d
ia
.
E
m
ail:
k
a
m
e
s
h
.
m
ac
h
ir
aj
u
@
k
l
u
n
i
v
er
s
i
t
y
.
i
n
1.
I
NT
RO
D
UCT
I
O
N
W
eb
s
cr
ap
in
g
is
s
o
f
t
w
ar
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tec
h
n
iq
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e
u
s
ed
f
o
r
s
cr
ap
p
in
g
t
h
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d
ata
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ailab
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in
v
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s
ites
a
n
d
it
u
s
e
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th
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m
o
s
t
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n
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s
a
l
tech
n
iq
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s
ad
o
p
ted
b
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m
a
n
y
s
ea
r
ch
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i
n
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s
.
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cr
ap
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m
ai
n
l
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s
s
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tr
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ct
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ed
d
ata
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ites
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n
to
s
tr
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ctu
r
ed
f
o
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m
at.
T
h
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d
ata
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r
ese
n
t
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w
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f
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in
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n
h
t
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tag
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.
Af
t
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p
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f
o
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m
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g
s
cr
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d
ata
is
s
to
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ed
in
lo
ca
l
d
atab
ase
o
r
s
p
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ea
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to
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f
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m
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s
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p
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b
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v
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v
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tes.
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d
ata
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v
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w
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s
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s
cr
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eb
s
cr
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s
o
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ch
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cr
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n
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e
b
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s
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g
P
y
th
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av
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o
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m
e
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s
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t
w
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p
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f
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b
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S
C
R
A
P
Y
to
o
l
a
p
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t
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ased
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m
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w
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k
d
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r
w
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d
ata
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tr
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P
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co
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p
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ed
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lib
r
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w
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les
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s
to
p
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m
d
ata
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tr
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t
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li
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d
m
ak
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r
w
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k
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s
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y
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ap
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w
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co
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ata
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o
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ito
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,
W
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s
ite
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n
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d
etec
t
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,
R
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ch
,
W
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d
ata
in
teg
r
atio
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etc.
I
n
f
latio
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r
ef
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s
to
ch
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n
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v
el
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f
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in
a
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m
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d
C
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m
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t
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p
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lev
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f
co
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s
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m
er
g
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s
an
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er
v
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p
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r
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a
s
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b
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s
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ld
s
.
I
n
f
latio
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a
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d
C
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t
P
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I
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d
ex
(
C
P
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ca
n
b
e
ca
lcu
lated
b
y
u
s
i
n
g
d
ata
o
f
p
r
esen
t
a
n
d
p
r
ev
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u
s
y
ea
r
s
.
So
,
th
er
e
is
a
n
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d
to
m
ai
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tai
n
in
g
t
h
e
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s
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f
p
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ev
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s
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ea
r
s
also
.
W
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cr
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w
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s
g
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es
to
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w
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s
ite
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s
p
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h
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p
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m
an
d
co
llects
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e
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av
ai
lab
le.
Af
ter
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x
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ata
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in
th
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atab
ase
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f
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s
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
AA
S
I
SS
N:
2252
-
8814
C
o
mmo
d
ity
P
r
ice
Da
ta
A
n
a
lysi
s
Usi
n
g
W
eb
S
cra
p
in
g
(
M.
K
a
mesw
a
r
a
R
a
o
)
147
o
p
er
atio
n
s
o
n
t
h
e
m
.
Data
a
v
ai
lab
le
in
t
h
e
d
atab
ase
is
v
is
u
ali
ze
d
to
th
e
u
s
er
i
n
t
h
e
f
o
r
m
o
f
b
ar
ch
ar
ts
a
n
d
lin
e
ch
ar
ts
.
2.
RE
L
AT
E
D
WO
RK
T
h
e
av
ailab
ilit
y
o
f
o
n
-
li
n
e
co
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r
ep
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ese
n
ts
a
s
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lar
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h
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f
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ev
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p
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d
ex
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d
also
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h
e
m
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f
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f
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ti
o
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r
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is
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ata
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t
d
is
ad
v
an
tag
e
i
s
th
at
a
f
ter
s
o
m
e
ti
m
e
t
h
e
li
m
itatio
n
m
a
y
r
ec
ed
e
an
d
it d
o
es n
o
t in
cl
u
d
e
an
y
a
n
al
y
s
i
s
o
r
n
u
m
b
er
o
f
q
u
a
n
titi
e
s
s
o
ld
.
I
n
f
o
r
m
a
tio
n
i
s
lar
g
e
l
y
a
v
ailab
le
o
n
th
e
w
eb
d
ata
b
ase,
if
a
n
y
o
n
e
w
a
n
ts
to
r
etai
n
s
o
m
e
a
m
o
u
n
t
o
f
in
f
o
r
m
atio
n
h
e
m
u
s
t
b
o
o
k
m
ar
k
th
e
w
eb
p
ag
e
s
o
to
av
o
id
s
u
ch
th
in
g
s
s
ea
r
ch
e
n
g
i
n
e
s
ar
e
th
er
e
w
h
ic
h
s
ea
r
c
h
e
s
r
elate
d
in
f
o
r
m
a
tio
n
o
n
t
h
e
en
t
ir
e
w
eb
.
As
it
is
al
s
o
a
t
y
p
e
o
f
s
cr
ap
in
g
w
h
ich
e
x
tr
ac
ts
t
h
e
d
ata
s
o
w
e
ca
n
al
s
o
s
cr
ap
e
th
e
s
p
ec
i
f
ic
d
ata
in
a
w
eb
s
i
te.
So
m
e
o
f
t
h
e
s
ea
r
ch
en
g
i
n
e
s
ar
e
C
h
ick
e
n
f
o
o
t
w
h
ic
h
i
s
a
f
ir
e
f
o
x
p
lu
g
i
n
th
at
p
r
o
v
id
es
t
h
e
p
r
o
g
r
a
m
m
i
n
g
e
n
v
ir
o
n
m
e
n
t
t
o
m
an
ip
u
late
o
r
g
et
w
eb
p
ag
e
co
n
te
n
t
s
a
n
d
it
is
w
r
itte
n
i
n
j
av
a
s
cr
ip
t
to
w
r
ap
t
h
e
co
n
ten
t.
A
s
it
is
p
lu
g
i
n
it
w
a
s
e
m
b
ed
d
ed
i
n
a
w
eb
b
r
o
w
s
er
an
d
w
ill
r
u
n
s
lo
w
l
y
as
it
p
r
o
ce
s
s
th
e
j
av
a
s
cr
ip
t a
n
d
aj
ax
ca
lls
.
I
t in
ter
ac
ts
a
n
d
s
cr
ap
s
th
e
d
ata
f
r
o
m
t
h
e
w
eb
b
r
o
w
s
er
u
s
in
g
f
i
n
d
(
)
co
m
m
a
n
d
.
B
asicall
y
w
eb
cr
a
w
li
n
g
m
ea
n
s
a
p
r
o
g
r
a
m
w
h
ic
h
g
o
es
th
r
o
u
g
h
t
h
e
f
u
ll
HT
ML
co
d
e
o
f
t
h
e
w
eb
s
i
te
b
y
tr
av
er
s
i
n
g
t
h
e
w
eb
p
ag
e
s
o
f
t
h
e
s
ite
an
d
g
ets
all
th
e
r
ele
v
an
t
in
f
o
r
m
atio
n
r
eq
u
ir
ed
f
o
r
th
e
u
s
er
is
o
b
tai
n
ed
an
d
th
is
i
s
a
iter
ativ
e
p
r
o
ce
s
s
f
o
r
g
etti
n
g
m
o
r
e
s
p
ec
if
ic
i
n
f
o
r
m
atio
n
r
eq
u
ir
ed
f
o
r
th
e
u
s
er
.
T
h
e
ac
cu
r
ac
y
o
f
th
e
alg
o
r
ith
m
w
i
ll
b
e
b
ased
o
n
th
e
f
r
eq
u
en
c
y
o
f
o
cc
u
r
r
en
ce
o
f
k
e
y
w
o
r
d
s
in
t
h
e
w
eb
p
a
g
e
an
d
lo
ca
tio
n
o
f
k
e
y
w
o
r
d
s
i
n
th
e
s
ite.
T
h
er
e
ar
e
s
ev
er
al
ty
p
es o
f
W
eb
C
r
a
w
li
n
g
Stra
te
g
ie
s
.
T
h
e
y
ar
e:
1.
B
r
ea
d
th
First Sear
ch
A
l
g
o
r
ith
m
2.
Dep
th
First
Sear
ch
A
l
g
o
r
ith
m
3.
P
ag
e
R
an
k
A
l
g
o
r
ith
m
4.
Gen
etic
al
g
o
r
ith
m
2
.
1
.
B
re
a
dth
F
irst
Sea
rc
h Alg
o
rit
h
m
I
n
th
is
al
g
o
r
ith
m
a
u
n
if
o
r
m
s
ea
r
ch
is
d
o
n
e
alo
n
g
all
th
e
n
eig
h
b
o
r
in
g
n
o
d
es
w
h
ich
s
tar
ts
f
r
o
m
r
o
o
t
n
o
d
e
an
d
all
th
e
n
ei
g
h
b
o
r
in
g
n
o
d
es
th
at
ar
e
at
th
e
s
a
m
e
le
v
el
o
f
r
o
o
t
n
o
d
e
[
1
]
.
I
f
th
e
u
s
er
r
eq
u
ir
ed
d
ata
is
o
b
tain
ed
th
e
n
th
e
s
ea
r
ch
i
s
r
e
p
o
r
ted
as
s
u
cc
e
s
s
an
d
th
e
s
ea
r
ch
g
ets
ter
m
in
a
ted
b
y
g
ett
in
g
all
t
h
e
r
eq
u
ir
ed
d
ata
b
u
t
if
th
e
s
ea
r
c
h
d
o
esn
’
t
m
atc
h
w
ith
t
h
e
u
s
er
r
eq
u
ir
e
m
e
n
t
t
h
en
it
g
o
es
d
o
w
n
to
n
ex
t
le
v
e
l
an
d
s
ea
r
ch
w
ill
b
e
d
o
n
e
at
all
th
e
n
ei
g
h
b
o
r
in
g
n
o
d
es
o
f
th
at
le
v
el
a
n
d
th
i
s
p
r
o
ce
s
s
w
ill
co
n
tin
u
e
ti
ll
th
e
u
s
er
r
eq
u
ir
ed
d
ata
is
o
b
tain
ed
.
B
u
t
w
h
en
al
l n
o
d
es
ar
e
s
ea
r
ch
ed
an
d
th
e
r
eq
u
ir
ed
d
a
ta
is
n
o
t o
b
tain
ed
th
e
n
it r
es
u
lts
a
s
a
f
ail
u
r
e.
2
.
2
.
Dept
h F
irst
Sea
rc
h Alg
o
rit
h
m
I
n
d
ep
th
f
ir
s
t
s
ea
r
ch
al
g
o
r
ith
m
,
n
o
d
es
ar
e
tr
av
er
s
ed
s
y
s
te
m
at
icall
y
f
r
o
m
t
h
e
s
tar
ti
n
g
o
f
f
ir
s
t
n
o
d
e
an
d
tr
av
er
s
i
n
g
w
i
ll
b
e
d
o
n
e
till
th
e
en
d
o
f
th
e
la
s
t
ch
ild
n
o
d
e.
W
h
en
t
h
er
e
ar
e
m
o
r
e
th
a
n
o
n
e
c
h
ild
n
o
d
e
th
e
n
le
f
t
n
o
d
e
w
ill
b
e
g
iv
e
n
t
h
e
m
o
s
t
p
r
io
r
ity
.
T
h
en
it
w
i
ll
b
e
b
ac
k
tr
ac
k
ed
to
all
th
e
u
n
v
is
ited
n
o
d
es
till
all
t
h
e
n
o
d
es
ar
e
v
is
ited
[
2
]
.
I
n
th
is
al
g
o
r
ith
m
al
l
th
e
n
o
d
es
ar
e
v
is
ited
o
n
ce
w
h
e
n
th
e
b
r
ea
d
th
is
v
is
ited
[
3
]
.
B
u
t
th
e
d
is
ad
v
an
ta
g
e
o
f
th
is
al
g
o
r
ith
m
is
th
a
t
w
h
e
n
t
h
er
e
ar
e
m
o
r
e
n
o
d
es
an
d
b
r
an
c
h
es
t
h
e
n
it
m
a
y
r
esu
lt
a
i
n
f
in
i
te
lo
o
p
[
4
]
.
2
.
3
.
P
a
g
e
Ra
nk
Alg
o
rit
h
m
T
h
is
alg
o
r
it
h
m
h
elp
s
u
s
er
in
d
eter
m
i
n
in
g
th
e
i
m
p
o
r
ta
n
ce
o
f
a
w
eb
p
ag
e
b
y
ca
lc
u
lati
n
g
to
t
al
n
u
m
b
er
o
f
cita
tio
n
s
an
d
b
ac
k
li
n
k
s
t
h
at
ar
e
p
r
esen
t in
t
h
e
w
eb
p
ag
e
[
5
]
.
P
r
(
W
)
=
(
1
-
d
)
+
d
(
P
r
(
l
1
)
/C
(
l
1
)
+
….
.
+
P
r
(
l
n
)
/C
(
l
n
))
P
r
(
W
)
---
P
ag
e
r
an
k
f
o
r
th
e
w
e
b
s
ite
th
at
i
s
b
ein
g
ca
lcu
la
ted
D
-
-
-
Da
m
p
i
n
g
f
ac
to
r
o
f
th
e
web
s
ite
(l
1
…
l
n
)
---
li
n
k
s
a
n
d
citatio
n
s
p
r
esen
t in
t
h
e
w
eb
p
ag
e
B
y
co
n
s
id
er
in
g
h
u
m
a
n
f
ac
to
r
a
n
e
w
al
g
o
r
ith
m
o
f
P
ag
e
r
a
n
k
in
g
is
d
e
v
elo
p
ed
b
y
Yo
u
g
b
i
n
Qi
n
a
n
d
Dao
y
u
m
X
u
[
6
]
an
d
t
h
is
in
tr
o
d
u
ce
d
r
ec
o
m
m
en
d
atio
n
m
ec
h
an
i
s
m
alo
n
g
w
i
th
p
a
g
e
b
eli
ef
a
n
d
th
i
s
cr
ea
ted
b
alan
ce
d
r
an
k
alg
o
r
it
h
m
o
f
p
a
g
e
r
an
k
i
n
g
an
d
g
i
v
es
i
m
p
o
r
t
an
ce
to
th
e
n
ee
d
s
o
f
u
s
er
s
.
T
h
is
ef
f
ec
tiv
e
l
y
a
v
o
id
ed
to
p
ic
d
r
if
t p
r
o
b
lem
.
A
n
e
w
p
ag
e
r
an
k
i
n
g
alg
o
r
it
h
m
w
it
h
t
h
e
co
m
b
in
a
tio
n
o
f
s
ta
tic
alg
o
r
ith
m
o
f
p
a
g
e
r
an
k
w
it
h
clas
s
if
ied
tr
ee
is
p
r
o
p
o
s
ed
b
y
T
ian
C
h
o
n
g
[
7
]
w
h
er
e
a
class
if
ied
tr
ee
is
co
n
s
tr
u
cted
w
h
ic
h
is
u
s
ed
b
y
lar
g
e
n
u
m
b
er
o
f
u
s
er
s
an
d
g
etti
n
g
s
i
m
ilar
r
es
u
l
ts
w
h
ile
s
ea
r
ch
i
n
g
a
n
d
t
h
is
h
e
lp
s
in
r
ed
u
ci
n
g
t
h
e
p
r
o
b
le
m
o
f
t
h
e
m
e
d
r
if
t
w
h
ile
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8814
IJ
AA
S
Vo
l.
4
,
No
.
4
,
Dec
em
b
er
201
5
:
1
4
6
–
1
5
0
148
s
ea
r
ch
i
n
g
u
s
in
g
o
n
l
y
p
ag
e
r
a
n
k
alg
o
r
it
h
m
an
d
o
u
td
ated
p
ag
es
w
ill b
e
eli
m
i
n
ated
ea
s
il
y
a
n
d
in
t
u
r
n
i
f
i
n
cr
ea
s
e
s
th
e
ef
f
ec
ti
v
e
n
es
s
o
f
t
h
e
s
ea
r
ch
in
g
a
n
d
th
e
e
f
f
icie
n
c
y
o
f
th
e
s
ea
r
ch
in
g
al
g
o
r
ith
m
.
2
.
4
.
G
enet
ic
Alg
o
rit
h
m
Gen
etic
al
g
o
r
ith
m
w
o
r
k
s
u
s
i
n
g
b
io
lo
g
ical
ev
o
l
u
tio
n
s
an
d
in
it
th
e
o
f
f
s
p
r
in
g
t
h
e
f
its
is
o
b
tain
ed
b
y
cr
o
s
s
in
g
it
o
v
er
th
e
s
elec
ted
b
est
p
o
p
u
latio
n
in
d
iv
id
u
als
b
y
u
s
in
g
s
o
m
e
f
it
n
ess
f
u
n
ctio
n
s
.
So
m
e
p
r
o
b
le
m
s
p
r
esen
t
in
t
h
is
b
u
t
it
is
s
u
i
tab
le
f
o
r
b
est
s
o
lu
tio
n
in
a
s
p
ec
i
f
i
c
ti
m
e
[
8
]
.
So
th
is
s
u
it
s
to
th
e
u
s
er
w
h
o
h
a
s
n
o
o
r
ti
m
e
to
s
ea
r
ch
a
h
u
g
e
d
atab
ase
an
d
g
et
v
er
y
ef
f
icie
n
t r
es
u
lt
s
[
9
]
.
2
.
5
.
AP
I
T
o
o
ls
No
w
a
d
a
y
’
s
s
cr
ap
in
g
d
ata
f
r
o
m
t
h
e
w
eb
s
ites
b
ec
o
m
e
s
m
o
r
e
im
p
o
r
tan
t
an
d
it
is
al
s
o
u
s
e
f
u
l
f
o
r
p
er
f
o
r
m
in
g
a
n
al
y
s
i
s
o
n
t
h
e
d
at
a
co
llected
.
W
e
ca
n
co
llect
t
h
e
d
ata
u
s
i
n
g
s
o
m
e
A
P
I
to
o
ls
s
u
ch
as
w
eb
s
cr
ap
er
,
i
m
p
o
r
t.io
,
k
i
m
o
n
o
etc.
,
W
eb
Scr
ap
er
[
1
2
]
is
a
to
o
l
w
h
i
c
h
is
u
s
ed
to
cr
ea
te
s
ite
m
ap
s
an
d
b
ased
o
n
th
e
s
e
m
ap
s
w
e
ca
n
n
a
v
i
g
ate
th
r
o
u
g
h
t
h
e
p
ag
e
f
o
r
ex
tr
ac
ti
n
g
t
h
e
d
ata.
Usi
n
g
s
elec
to
r
o
p
tio
n
in
t
h
e
t
o
o
l
w
e
ca
n
n
a
v
i
g
at
e
an
d
ex
tr
ac
t
d
if
f
er
e
n
t
t
y
p
es
o
f
d
ata
s
u
ch
as
lin
k
s
,
te
x
ts
,
tab
les,
i
m
ag
e
s
etc.
W
eb
s
cr
ap
er
ca
n
al
s
o
s
cr
ap
e
t
h
e
d
y
n
a
m
ic
d
ata.
Af
ter
e
x
tr
ac
tin
g
w
e
ca
n
d
o
w
n
lo
ad
th
e
d
ata
f
r
o
m
th
e
b
r
o
w
s
er
as c
s
v
.
Ki
m
o
n
o
[
1
0
]
is
also
o
n
e
o
f
t
h
e
b
est
A
P
I
to
o
l
f
o
r
s
cr
ap
in
g
th
e
w
eb
d
ata,
it
is
a
b
o
o
k
m
ar
k
in
th
e
b
r
o
w
s
er
.
Ki
m
o
n
o
p
r
o
v
id
es th
e
f
u
n
ctio
n
alit
y
o
f
s
elec
tin
g
t
h
e
m
u
ltip
le
ite
m
s
s
u
c
h
as te
x
t,
li
n
k
s
,
an
d
i
m
a
g
es a
t a
ti
m
e
an
d
ca
n
b
e
ca
teg
o
r
ized
ac
co
r
d
in
g
l
y
i
n
t
h
e
d
ata
m
o
d
e
llin
g
o
p
tio
n
o
f
th
e
k
i
m
o
n
o
b
o
o
k
m
ar
k
tab
.
Af
ter
ex
tr
ac
ti
n
g
d
ata
it
also
ca
n
b
e
d
o
w
n
lo
ad
ed
lik
e
w
is
e
w
eb
s
cr
ap
er
to
o
l
an
d
it
ca
n
b
e
f
u
r
th
er
u
s
ef
u
l
in
p
er
f
o
r
m
i
n
g
an
al
y
s
is
.
K
i
m
o
n
o
to
o
l h
as a
ls
o
th
e
f
u
n
ctio
n
al
it
y
o
f
s
a
v
in
g
t
h
e
cr
ea
ted
A
P
I
an
d
b
u
ild
in
g
ap
p
s
f
o
r
th
e
m
o
b
ile.
I
m
p
o
r
t.io
[
1
1
]
is
an
o
th
er
A
P
I
to
o
l
f
o
r
cr
a
w
li
n
g
t
h
e
d
at
a
p
r
esen
t
in
th
e
w
eb
.
I
t
i
s
a
b
r
o
w
s
er
ap
p
licatio
n
w
h
ic
h
u
n
ee
d
to
i
n
s
tal
l.
Usi
n
g
t
h
i
s
to
o
l
w
e
ca
n
cr
a
w
l
t
h
e
d
ata
w
it
h
in
th
e
s
i
n
g
le
p
ag
e
a
n
d
also
t
h
e
d
ata
w
h
ic
h
i
s
s
i
m
ilar
i
n
m
u
lti
p
le
w
eb
p
a
g
es
o
f
a
w
eb
s
ite,
f
i
r
s
t
w
e
n
ee
d
to
s
elec
t
t
h
e
d
ata
w
h
at
w
e
w
a
n
t
a
n
d
p
r
o
v
id
e
co
lu
m
n
n
a
m
e
s
af
ter
th
at
w
h
i
le
r
u
n
n
i
n
g
t
h
e
cr
a
w
ler
w
e
h
a
v
e
to
p
r
o
v
id
e
th
e
m
a
i
n
p
ag
e
u
r
l
w
h
ich
w
e
h
ad
s
elec
ted
th
e
d
ata
an
d
a
l
s
o
th
e
d
ep
th
o
f
t
h
e
p
ag
e
s
t
h
e
cr
a
w
ler
n
ee
d
s
to
n
av
i
g
ate
s
o
th
at
t
h
e
cr
a
w
ler
n
av
i
g
ate
s
ac
co
r
d
in
g
l
y
an
d
d
o
w
n
lo
ad
s
th
e
d
ata
i
n
cs
v
f
o
r
m
a
t
.
2
.
6
.
B
ea
utif
ul So
up
B
ea
u
tifu
l
s
o
u
p
[
1
3
]
is
a
p
y
t
h
o
n
lib
r
ar
y
w
h
ic
h
i
s
u
s
ed
to
wr
ap
o
u
t
th
e
d
ata
f
r
o
m
t
h
e
h
t
m
l
an
d
x
m
l
d
o
cu
m
en
ts
.
Usi
n
g
b
ea
u
ti
f
u
l
s
o
u
p
w
e
ca
n
s
cr
ap
th
e
d
ata
w
h
atev
er
w
e
w
a
n
t
f
r
o
m
v
ar
io
u
s
w
eb
s
i
tes
an
d
it
al
s
o
p
r
o
v
id
es th
e
m
eth
o
d
s
w
h
ic
h
i
s
i
m
p
le
m
en
ted
i
n
p
y
t
h
o
n
f
o
r
n
a
v
ig
a
tin
g
,
s
ea
r
c
h
i
n
g
a
n
d
m
o
d
i
f
y
in
g
t
h
e
tr
ee
t
h
at
is
p
ar
s
ed
w
h
ic
h
m
ea
n
s
g
e
tti
n
g
t
h
e
d
ata
w
h
a
tev
er
w
e
n
ee
d
.
T
o
m
a
k
e
u
s
e
o
f
b
ea
u
ti
f
u
l
s
o
u
p
w
e
s
h
o
u
ld
in
s
tall
t
h
is
lib
r
ar
y
in
a
n
y
o
f
th
e
p
y
t
h
o
n
in
s
taller
s
s
u
c
h
a
s
p
ip
.
Fo
r
s
cr
ap
in
g
th
e
d
ata
f
ir
s
t
w
e
n
ee
d
to
p
r
o
v
id
e
th
e
u
r
l
o
f
t
h
e
p
ag
e
an
d
t
h
en
i
t
s
h
o
u
ld
b
e
p
ass
ed
to
s
o
u
p
m
eth
o
d
,
af
ter
th
a
t
it
w
ill
p
ar
s
e
all
t
h
e
p
a
g
es
a
n
d
g
ets
t
h
e
d
ata.
T
h
e
d
ata
w
h
at
w
e
g
et
is
alo
n
g
w
i
t
h
th
e
tag
s
s
o
to
id
en
ti
f
y
an
d
e
x
tr
ac
t
th
e
e
x
ac
t
d
ata
co
n
te
n
t
a
n
d
g
et
m
et
h
o
d
s
ar
e
u
s
ed
.
Fi
n
all
y
th
e
s
cr
ap
ed
d
ata
s
h
o
u
ld
b
e
ex
p
o
r
ted
to
ex
ce
l
f
il
e
a
n
d
f
o
r
th
is
c
s
v
l
ib
r
ar
y
s
h
o
u
ld
b
e
i
m
p
o
r
ted
.
B
ea
u
tifu
l so
u
p
ca
n
p
ar
s
e
an
y
d
ata
w
h
a
tev
er
w
e
g
iv
e
a
n
d
f
et
ch
es d
if
f
er
e
n
t t
y
p
e
s
o
f
d
ata
lik
e
lin
k
s
,
tex
ts
etc.
3
.
P
RO
P
O
SE
D
M
E
T
H
O
D
Data
r
eq
u
ir
ed
f
o
r
p
r
ice
an
al
y
s
is
ca
n
b
e
co
llec
ted
u
s
i
n
g
s
ea
r
ch
in
g
tec
h
n
iq
u
e.
T
o
co
llect
d
ata
u
s
i
n
g
s
ea
r
ch
i
n
g
tec
h
n
iq
u
e
w
e
in
itiall
y
n
ee
d
to
p
r
o
v
id
e
k
e
y
w
o
r
d
s
o
f
th
e
p
r
o
d
u
ct
to
t
h
e
p
r
o
g
r
a
m
t
h
en
it
s
ea
r
c
h
f
o
r
th
e
p
r
o
d
u
ct
n
a
m
e
i
n
h
t
m
l
co
d
e.
On
ce
t
h
e
p
r
o
d
u
ct
n
a
m
e
i
s
f
o
u
n
d
t
h
e
p
r
o
g
r
a
m
p
er
f
o
r
m
s
f
r
o
n
t
an
d
b
ac
k
w
ar
d
tr
av
er
s
als
to
f
i
n
d
th
e
p
r
ice
o
f
th
e
p
r
o
d
u
ct
an
d
g
e
t
th
e
p
r
ice
d
ata.
B
u
t
tr
av
er
s
i
n
g
e
n
tire
h
t
m
l
co
d
e
f
o
r
p
r
o
d
u
ct
n
a
m
e
a
n
d
p
r
ice
in
cr
ea
s
es
th
e
ti
m
e
co
m
p
lex
it
y
o
f
th
e
p
r
o
g
r
a
m
an
d
th
e
d
ata
co
llected
m
a
y
n
o
t
b
e
ef
f
icien
t.
T
h
er
e
m
a
y
b
e
also
s
o
m
e
s
itu
a
tio
n
s
w
h
er
e
th
e
d
ata
is
n
o
t
av
ailab
le
in
t
h
e
h
t
m
l
co
d
e.
So
,
I
n
o
r
d
er
to
p
r
o
v
id
e
ef
f
icien
t
m
et
h
o
d
to
m
i
n
e
th
e
d
ata
w
e
h
av
e
p
r
o
p
o
s
ed
th
e
f
o
llo
w
i
n
g
m
et
h
o
d
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
AA
S
I
SS
N:
2252
-
8814
C
o
mmo
d
ity
P
r
ice
Da
ta
A
n
a
lysi
s
Usi
n
g
W
eb
S
cra
p
in
g
(
M.
K
a
mesw
a
r
a
R
a
o
)
149
W
eb
cr
aw
ler
p
er
f
o
r
m
i
n
d
ex
i
n
g
s
a
m
e
as
s
ea
r
ch
e
n
g
in
e
a
n
d
r
ea
ch
es
t
h
e
w
eb
s
ite
p
r
o
v
id
ed
b
y
th
e
u
s
er
.
Scr
ap
er
alg
o
r
ith
m
h
elp
s
u
s
to
r
ea
ch
to
th
e
d
ata
an
d
g
et
th
e
d
ata
as
p
er
th
e
r
u
les
p
r
o
v
id
ed
in
th
e
p
r
o
g
r
a
m
.
W
e
h
av
e
d
ev
elo
p
ed
th
is
al
g
o
r
ith
m
u
s
in
g
p
y
t
h
o
n
b
ased
f
r
a
m
e
w
o
r
k
ca
lled
SC
R
A
P
Y.
T
h
is
alg
o
r
ith
m
p
ar
s
es
th
e
in
f
o
r
m
atio
n
p
r
esen
t
i
n
t
h
e
w
e
b
s
ite
an
d
s
a
v
e
t
h
e
d
ata
i
n
to
a
d
atab
ase
an
d
th
er
e
a
f
ter
w
e
p
er
f
o
r
m
an
a
l
y
s
is
o
n
th
e
d
ata
u
s
in
g
a
n
an
a
l
y
s
is
s
y
s
te
m
.
T
h
e
p
r
o
g
r
a
m
u
s
ed
to
p
er
f
o
r
m
s
cr
ap
p
in
g
i
s
ca
lled
as
S
p
id
er
(
u
s
er
-
w
r
itte
n
class
es
u
s
ed
f
o
r
s
cr
ap
p
in
g
in
f
o
r
m
at
io
n
)
.
Sp
id
er
g
ets
th
e
d
ata
f
r
o
m
th
e
w
eb
s
ites
b
ased
o
n
th
e
d
o
m
ai
n
,
x
p
ath
an
d
r
u
les
p
r
o
v
id
ed
in
th
e
p
r
o
g
r
a
m
.
Fin
al
l
y
a
cr
o
n
j
o
b
is
w
r
it
t
en
f
o
r
o
u
r
p
r
o
g
r
am
w
h
ic
h
au
t
o
m
a
ticall
y
s
tar
ts
t
h
e
ex
ec
u
t
io
n
o
f
p
r
o
g
r
a
m
a
n
d
co
llects d
ata
d
ail
y
as p
er
th
e
ti
m
e
p
r
o
v
id
ed
b
y
th
e
u
s
er
.
Ou
r
an
a
l
y
s
is
s
y
s
te
m
is
a
w
eb
m
o
d
u
le
d
ev
e
lo
p
ed
u
s
i
n
g
h
t
m
l
an
d
J
SP
.
I
t
p
r
o
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id
es
a
n
in
ter
f
a
ce
f
o
r
o
u
r
d
ata
to
an
al
y
s
e.
On
ce
t
h
e
ad
m
i
n
p
er
f
o
r
m
s
lo
g
i
n
o
p
tio
n
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li
k
e
ad
d
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ec
o
r
d
s
,
m
o
d
if
y
r
ec
o
r
d
s
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v
ie
w
r
ec
o
r
d
s
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n
d
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al
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d
ata
ap
p
ea
r
s
a
n
d
h
e
c
an
c
h
o
o
s
e
an
y
o
p
tio
n
r
eq
u
ir
ed
b
y
h
i
m
.
T
h
is
s
y
s
te
m
p
er
f
o
r
m
y
ea
r
l
y
,
m
o
n
th
l
y
,
d
ail
y
an
al
y
s
is
o
n
t
h
e
d
ata
an
d
m
ak
e
s
o
u
r
w
o
r
k
ea
s
ier
to
ca
l
cu
late
C
P
I
an
d
I
n
f
latio
n
.
Vis
u
aliza
tio
n
o
f
d
ata
is
d
o
n
e
u
s
in
g
J
f
r
ee
c
h
ar
t
lib
r
ar
ies
av
ai
lab
le
i
n
j
av
a.
Usi
n
g
J
f
r
ee
ch
ar
ts
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n
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r
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ap
h
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d
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et
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esen
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h
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d
atab
ase.
Data
s
et
is
p
ass
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in
to
th
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f
u
n
ctio
n
d
r
a
w
L
i
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ar
t
w
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ic
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p
lo
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er
at
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r
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n
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a
s
an
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S
i
m
ilar
l
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ca
n
al
s
o
d
r
a
w
co
lu
m
n
ch
ar
ts
a
n
d
p
ie
ch
ar
ts
.
3
.
1
.
Alg
o
ri
t
h
m
1
.
I
m
p
o
r
t p
ac
k
ag
es r
eq
u
ir
ed
f
o
r
s
cr
ap
in
g
.
2
.
C
r
ea
te
a
class
w
h
ic
h
ac
ts
as a
co
n
tain
er
f
o
r
all
th
e
o
b
j
ec
ts
.
3
.
P
r
o
v
id
e
d
etails o
f
d
o
m
ai
n
f
r
o
m
w
h
er
e
d
ata
to
b
e
s
cr
ap
p
ed
.
4
.
P
r
o
v
id
e
u
r
l’
s
an
d
r
u
le
s
f
o
r
ex
t
r
ac
tio
n
.
5
.
Get
th
e
x
p
at
h
s
f
o
r
all
th
e
ele
m
en
ts
to
b
e
s
cr
ap
p
ed
.
6
.
C
all
p
ar
s
e
f
u
n
c
tio
n
.
7
.
Get
co
n
n
ec
tio
n
w
it
h
d
atab
ase.
8
.
P
ip
elin
in
g
d
ata
in
to
d
atab
ase.
9
.
R
u
n
s
cr
ap
er
.
1
0
.
Def
in
e
cr
o
n
j
o
b
f
o
r
r
u
n
n
i
n
g
th
e
p
r
o
g
r
a
m
i
n
r
eg
u
lar
i
n
ter
v
al.
Xp
ath
is
p
r
o
v
id
ed
to
th
e
s
p
id
er
in
th
e
f
o
llo
w
in
g
w
a
y
:
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id
er
is
p
r
o
g
r
am
w
h
ic
h
cr
a
w
l in
to
th
e
w
eb
s
ite
to
ex
tr
ac
t d
ata
#
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h
is
w
ill cr
ea
te
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lis
t o
f
p
r
o
d
u
cts:
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=
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ee
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x
p
a
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h
(
'
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iv
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@
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h
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ill cr
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te
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p
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ath
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@
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4
.
RE
SU
L
T
S
Fig
u
r
e
1
.
Scr
ap
p
ed
d
ata
in
Scr
ap
y
Fra
m
e
w
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r
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Fig
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r
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3
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Vis
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f
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cr
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ata
5
.
CO
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n
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y
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ata
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r
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i
tes
a
n
d
p
er
f
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r
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an
al
y
s
is
o
n
t
h
e
m
.
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h
is
tec
h
n
iq
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e
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RE
F
E
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E
NC
E
S
[1
]
S
tev
e
n
S
.
S
k
ien
a
,
“
T
h
e
A
lg
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M
a
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L
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pp.
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0
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.
[2
]
A
le
x
a
n
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e
r
S
h
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n
,
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lg
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m
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d
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m
m
in
g
:
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ro
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lem
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d
so
lu
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c
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e
d
i
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,
S
p
ri
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,
pp.
1
3
5
,
2
0
1
0
.
[3
]
Na
ra
sin
g
h
De
o
,
“
G
ra
p
h
th
e
o
ry
w
i
th
a
p
p
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c
a
ti
o
n
s to
e
n
g
in
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e
rin
g
a
n
d
c
o
m
p
u
ter sc
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e
”
,
HI
,
pp.
3
0
1
,
2
0
0
4
.
[4
]
Be
n
Co
p
p
i
n
,
“
A
rti
f
icia
l
In
telli
g
e
n
c
e
il
lu
m
in
a
ted
”
,
Jo
n
e
s an
d
Ba
rlett
P
u
b
li
sh
e
rs,
pp.
77
,
2
0
0
4
.
[5
]
S
e
rg
e
y
Brin
a
n
d
L
a
w
re
n
c
e
P
a
g
e
,
“
An
a
t
o
my
o
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a
L
a
rg
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Hy
p
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ro
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.
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2
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.
[6
]
Yo
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b
in
Qi
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Da
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Xu
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A
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.
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]
T
I
A
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Ch
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,
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A
Kin
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g
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se
d
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re
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In
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Co
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M
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n
g
(ICCA
S
M
2
0
1
0
)
,
2
0
1
0
.
[8
]
S
.
N.
S
iv
a
n
a
n
d
a
m
,
S
.
N.
De
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p
a
,
“
In
tro
d
u
c
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to
G
e
n
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ti
c
A
lg
o
rit
h
m
s”
,
S
p
rin
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r,
p
p
.
20
,
2
0
0
8
.
[9
]
S.
N.
P
a
lo
d
,
Dr
.
S.
K.
S
h
r
iv
a
sta
v
,
Dr
.
P.
K.
P
u
r
o
h
i
t
,
“
Re
v
ie
w
o
f
G
e
n
e
ti
c
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l
g
o
rit
h
m
b
a
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d
f
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re
c
o
g
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it
io
n
”
,
In
ter
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t
io
n
a
l
J
o
u
rn
a
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n
g
in
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g
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
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y
(
IJ
ES
T
)
,
Vo
l.
3
,
N
o
.
2
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F
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2
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1
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V
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.
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,
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”
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a
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k
t
P
u
b
l
ish
in
g
L
td
.
Evaluation Warning : The document was created with Spire.PDF for Python.