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m3
crawlersNoticias
Commits
15cbb498
Commit
15cbb498
authored
Oct 17, 2018
by
Renán Sosa Guillen
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crawlers
parent
687a5463
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82 additions
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42 deletions
+82
-42
noticias.py
...oraneos/diarioCoLatino/diarioCoLatino/spiders/noticias.py
+44
-18
noticias.py
...rga_por_rss/elFinanciero/elFinanciero/spiders/noticias.py
+38
-24
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descarga_por_dia/foraneos/diarioCoLatino/diarioCoLatino/spiders/noticias.py
View file @
15cbb498
# -*- coding: utf-8 -*-
import
scrapy
,
re
from
diarioCoLatino.items
import
NoticiasItem
"""
MEDIO:
Diario Co Latino, El Salvador
USO:
scrapy crawl noticias --nolog -s filename=2018-02-23.json -a year=2018 -a month=2 -a day=23
MEDIA:
Diario Co Latino, El Salvador
USAGE:
## Get all the news from a specific date. ##
---------------------------------------------------------------------------------------------
$ cd diarioCoLatino/
$ scrapy crawl noticias --nolog -s filename=2018-02-23.json -a year=2018 -a month=2 -a day=23
"""
import
scrapy
,
re
from
diarioCoLatino.items
import
NoticiasItem
TAG_RE
=
re
.
compile
(
r'<[^>]+>'
)
def
remove_tags
(
text
):
return
TAG_RE
.
sub
(
''
,
text
)
...
...
@@ -20,9 +26,14 @@ LOC_RE = re.compile(r'\n.*?\/(PL|AFP|DPA|SIGNIS ALC)\n', re.I)
EM_RE
=
re
.
compile
(
r'\n((Email|Correo electr.{1,3}nico|Comentarios?):\s)?[\w.-]+@[\w-]+(\.[a-zA-Z]{2,6}){1,2}\s?\n'
)
class
QuotesSpider
(
scrapy
.
Spider
):
"""
Basic Scrapy Spider class
"""
name
=
"noticias"
def
start_requests
(
self
):
year
=
getattr
(
self
,
"year"
,
None
)
month
=
getattr
(
self
,
"month"
,
None
)
...
...
@@ -33,6 +44,7 @@ class QuotesSpider(scrapy.Spider):
yield
scrapy
.
Request
(
url
=
self
.
baseURL
,
callback
=
self
.
parse
)
def
parse
(
self
,
response
):
yield
scrapy
.
Request
(
url
=
response
.
url
,
callback
=
self
.
parse_page
,
dont_filter
=
True
)
...
...
@@ -45,20 +57,22 @@ class QuotesSpider(scrapy.Spider):
yield
scrapy
.
Request
(
url
=
self
.
baseURL
+
"/page/"
+
str
(
page
+
1
),
callback
=
self
.
parse_page
)
def
parse_page
(
self
,
response
):
for
link
in
response
.
xpath
(
'//div[@class="post-listing"]
/article/h2/a/@href'
)
.
extract
():
for
link
in
response
.
css
(
'div.content'
)
.
css
(
'div.post-listing'
)
.
xpath
(
'.
/article/h2/a/@href'
)
.
extract
():
yield
scrapy
.
Request
(
url
=
link
,
callback
=
self
.
parse_item
)
def
parse_item
(
self
,
response
):
item
=
NoticiasItem
()
text
=
''
"La fecha obtenida ya incluye formato y zona horaria"
item
[
'date'
]
=
response
.
xpath
(
'//meta[@property="article:published_time"]/@content'
)
.
extract_first
()
item
[
'title'
]
=
remove_tags
(
response
.
css
(
'h1.entry-title'
)
.
css
(
'span'
)
.
extract_first
())
.
strip
()
# La fecha obtenida ya incluye formato y zona horaria
news_date
=
response
.
xpath
(
'//meta[@property="article:published_time"]/@content'
)
.
extract_first
()
news_title
=
remove_tags
(
response
.
css
(
'h1.entry-title'
)
.
css
(
'span'
)
.
extract_first
())
.
strip
()
item
[
'topic'
]
=
None
news_topic
=
None
for
p
in
response
.
xpath
(
'//div[@class="entry"]/p'
)
.
extract
():
text
+=
remove_tags
(
p
)
+
"
\n
"
...
...
@@ -69,27 +83,30 @@ class QuotesSpider(scrapy.Spider):
text
=
"
\n
"
+
text
""" Obtiene autor """
news_author
=
None
res
=
AUTH_RE
.
match
(
text
)
if
res
:
m
=
res
.
group
(
0
)
item
[
'author'
]
=
m
[
m
.
find
(
'Por'
)
+
len
(
'Por'
):]
.
strip
()
news_author
=
m
[
m
.
find
(
'Por'
)
+
len
(
'Por'
):]
.
strip
()
text
=
text
[
text
.
find
(
m
)
+
len
(
m
):]
.
strip
()
text
=
"
\n
"
+
text
""" Elimina twitter """
news_twitter
=
None
res
=
TW_RE
.
search
(
text
)
if
res
:
m
=
res
.
group
(
0
)
item
[
'twitter'
]
=
m
.
strip
()
news_twitter
=
m
.
strip
()
text
=
text
[
text
.
find
(
m
)
+
len
(
m
):]
.
strip
()
text
=
"
\n
"
+
text
""" Obtiene lugar """
news_loc
=
None
res
=
LOC_RE
.
match
(
text
)
if
res
:
m
=
res
.
group
(
0
)
if
m
[
m
.
find
(
'/'
)
+
1
:]
.
strip
()
.
lower
()
!=
'dpa'
:
item
[
'location'
]
=
m
[:
m
.
find
(
'/'
)]
.
strip
()
news_loc
=
m
[:
m
.
find
(
'/'
)]
.
strip
()
text
=
text
[
text
.
find
(
m
)
+
len
(
m
):]
.
strip
()
text
=
"
\n
"
+
text
else
:
...
...
@@ -97,10 +114,11 @@ class QuotesSpider(scrapy.Spider):
text
=
"
\n
"
+
text
""" Elimina correo """
news_email
=
None
res
=
EM_RE
.
search
(
text
)
if
res
:
m
=
res
.
group
(
0
)
item
[
'email'
]
=
m
.
strip
()
news_email
=
m
.
strip
()
# text = text[text.find(m) + len(m):].strip()
text
=
text
.
replace
(
m
,
''
)
.
strip
()
text
=
"
\n
"
+
text
...
...
@@ -108,7 +126,7 @@ class QuotesSpider(scrapy.Spider):
res
=
EM_RE
.
search
(
text
)
if
res
:
m
=
res
.
group
(
0
)
item
[
'email'
]
=
m
.
strip
()
news_email
=
m
.
strip
()
# text = text[text.find(m) + len(m):].strip()
text
=
text
.
replace
(
m
,
''
)
.
strip
()
text
=
"
\n
"
+
text
...
...
@@ -119,8 +137,16 @@ class QuotesSpider(scrapy.Spider):
text
=
"
\n
"
+
text
text
=
text
.
replace
(
"
\n
Co Latino
\n
"
,
''
)
.
strip
()
item
[
'text'
]
=
text
.
strip
()
item
[
'url'
]
=
response
.
url
## News item info ##
item
[
'date'
]
=
news_date
item
[
'title'
]
=
news_title
item
[
'topic'
]
=
news_topic
item
[
'author'
]
=
news_author
item
[
'twitter'
]
=
news_twitter
item
[
'location'
]
=
news_loc
item
[
'email'
]
=
news_email
item
[
'text'
]
=
text
.
strip
()
item
[
'url'
]
=
response
.
url
yield
item
descarga_por_rss/elFinanciero/elFinanciero/spiders/noticias.py
View file @
15cbb498
# -*- coding: utf-8 -*-
"""
MEDIA:
El Financiero, CDMX
USAGE:
## Get the news from RSS. ##
---------------------------------------------------------------------------------------------
$ cd elFinanciero/
$ scrapy crawl noticias --nolog -s filename=2017-12-20.json
"""
import
scrapy
,
re
,
json
from
elFinanciero.items
import
NoticiasItem
from
datetime
import
datetime
,
timedelta
,
tzinfo
"""
MEDIO:
El Financiero, CDMX
USO:
scrapy crawl noticias --nolog -s filename=2017-12-20.json
"""
TAG_RE
=
re
.
compile
(
r'<[^>]+>'
)
def
remove_tags
(
text
):
...
...
@@ -16,65 +22,73 @@ def remove_tags(text):
class
UTC
(
tzinfo
):
"""clase para el 'time zone' (zona horaria)"""
"""
Class for Time Zone
"""
def
utcoffset
(
self
,
dt
):
#
zona horaria para hidalgo (centro de mexico): utc-6
#
# Time zone for CDMX: UTC-6 ##
return
timedelta
(
hours
=-
6
)
def
tzname
(
self
,
dt
):
#
nombre de la zona horaria
#
# Time zone name ##
return
'UTC-6'
class
QuotesSpider
(
scrapy
.
Spider
):
"""
Basic Scrapy Spider class
"""
name
=
"noticias"
def
start_requests
(
self
):
self
.
tz
=
UTC
()
# self.date_parser = {'enero': 1, 'febrero': 2, 'marzo': 3, 'abril': 4,
# 'mayo': 5, 'junio': 6, 'julio': 7, 'agosto': 8,
# 'septiembre': 9, 'octubre': 10, 'noviembre': 11, 'diciembre': 12}
self
.
baseURL
=
"http://www.elfinanciero.com.mx/rss"
yield
scrapy
.
Request
(
url
=
self
.
baseURL
,
callback
=
self
.
parse
)
def
parse
(
self
,
response
):
for
link
in
response
.
xpath
(
'//link/text()'
)
.
extract
()[
1
:]:
yield
scrapy
.
Request
(
url
=
link
,
callback
=
self
.
parse_item
)
def
parse_item
(
self
,
response
):
item
=
NoticiasItem
()
text
=
''
res
=
remove_tags
(
response
.
xpath
(
'//script[@type="application/ld+json"]'
)
.
extract_first
())
res
=
response
.
xpath
(
'//script[@data-schema="NewsArticle"]'
)
.
extract_first
()
if
res
is
not
None
:
res
=
remove_tags
(
res
)
resDict
=
json
.
loads
(
res
)
dt
=
resDict
[
'datePublished'
]
d
,
t
=
dt
.
split
()
d
=
map
(
int
,
d
.
split
(
"-"
))
t
=
map
(
int
,
t
.
split
(
":"
))
item
[
'date'
]
=
datetime
(
d
[
0
],
d
[
1
],
d
[
2
],
t
[
0
],
t
[
1
],
t
[
2
],
tzinfo
=
self
.
tz
)
.
isoformat
(
"T"
)
news_date
=
datetime
(
d
[
0
],
d
[
1
],
d
[
2
],
t
[
0
],
t
[
1
],
t
[
2
],
tzinfo
=
self
.
tz
)
.
isoformat
(
"T"
)
item
[
'title'
]
=
remove_tags
(
response
.
css
(
'div.column'
)
.
css
(
'div.column'
)
.
css
(
'h1'
)
.
extract_first
())
.
strip
()
title
=
remove_tags
(
response
.
css
(
'div.column'
)
.
css
(
'div.column'
)
.
css
(
'h1'
)
.
extract_first
())
.
strip
()
topic
=
response
.
xpath
(
'//div[@class="section-line"]'
)
.
extract_first
()
if
topic
is
not
None
:
item
[
'topic'
]
=
remove_tags
(
topic
)
else
:
item
[
'topic'
]
=
None
topic
=
remove_tags
(
topic
)
author
=
response
.
xpath
(
'//div[@class="note-author"]/a'
)
.
extract_first
()
if
author
is
not
None
:
item
[
'author'
]
=
remove_tags
(
author
)
author
=
remove_tags
(
author
)
for
p
in
response
.
css
(
'div.content'
)
.
css
(
'p'
)
.
extract
():
text
+=
remove_tags
(
p
)
+
'
\n
'
item
[
'text'
]
=
text
.
strip
()
item
[
'url'
]
=
response
.
url
# print item['title']
## News item info ##
item
[
'date'
]
=
news_date
item
[
'title'
]
=
title
item
[
'topic'
]
=
topic
item
[
'author'
]
=
author
item
[
'text'
]
=
text
.
strip
()
item
[
'url'
]
=
response
.
url
yield
item
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