Commit 2e1d39ff authored by Renán Sosa Guillen's avatar Renán Sosa Guillen

merge foraneos

parents 0900a741 40e60fc6
......@@ -30,6 +30,7 @@
{"nombre": "Notisureste", "crawler": "descarga_por_dia/notisureste", "desde": "28-11-2011", "url": "http://www.notisureste.com"},
{"nombre": "Periodico Correo", "crawler": "descarga_por_dia/periodicoCorreo", "desde": "08-09-2013", "url": "https://periodicocorreo.com.mx"},
{"nombre": "Periodico Victoria", "crawler": "descarga_por_dia/periodicoVictoria", "desde": "09-10-2013", "url": "http://periodicovictoria.mx"},
{"nombre": "La Prensa Grafica", "crawler": "descarga_hacia_atras/foraneos/prensaGrafica", "url": "https://www.laprensagrafica.com"},
{"nombre": "Proceso", "crawler": "descarga_por_mes/proceso", "desde": "11-1976", "url": "http://www.proceso.com.mx"},
{"nombre": "Punto Medio", "crawler": "descarga_por_dia/puntoMedio", "desde": "02-08-2015", "url": "https://www.puntomedio.mx"},
{"nombre": "Sona 89.3", "crawler": "descarga_por_dia/sona893", "desde": "09-04-2012", "url": "http://sona893.fm"},
......
#!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
import json
import os
import datetime
today = datetime.datetime.now()
baseDir = "/home/geoint/virtualHDD/m3/noticias/"
scrapyDir = "/home/geoint/crawlersNoticias/"
with open(sys.argv[1]) as data_file:
siteList = json.load(data_file)
os.chdir(baseDir)
for s in siteList:
media = s['crawler'][s['crawler'].rfind("/")+1:]
try:
os.makedirs(media)
except:
print "ok"
os.chdir(media)
lstYears = os.listdir(".")
lstYears.sort()
if len(lstYears) > 0:
year = int(lstYears[len(lstYears)-1])
else:
year = today.date().year
print year
try:
os.makedirs(str(year))
except:
print "ok"
os.chdir(str(year))
lstDays = os.listdir(".")
lstDays = [l for l in lstDays if not l.startswith('.')]
lstDays.sort()
print lstDays
filename = "noticias.json"
if len(lstDays) > 0:
strDate = lstDays[len(lstDays)-1]
print strDate
strDate = strDate[:strDate.find(".")]
currentDate = datetime.datetime.strptime(strDate, '%Y-%m-%d')
scrapycommand = "scrapy crawl noticias --nolog -s filename=" + filename + " -a year=" + str(currentDate.year) + " -a month=" + str(currentDate.month) + " -a day=" + str(currentDate.day)
else:
scrapycommand = "scrapy crawl noticias --nolog -s filename=" + filename
mydir = os.getcwd()
print mydir
os.chdir(scrapyDir+s['crawler'])
print media
print scrapycommand
os.system(scrapycommand)
fileSize = os.stat(filename).st_size
if fileSize <= 3: os.system("rm " + filename)
else:
os.chdir(scrapyDir)
os.system("python3 parse_date_files.py " + s['crawler'])
os.chdir(media)
mediaYears = os.listdir(".")
mediaYears.sort()
for yy in mediaYears:
os.chdir(yy)
try:
os.makedirs(baseDir + media + "/" + yy)
except:
pass
mediaDays = os.listdir(".")
mediaDays = [l for l in mediaDays if not l.startswith('.')]
mediaDays.sort()
for dd in mediaDays:
os.system("mv " + dd + " " + baseDir + media + "/" + yy)
os.chdir("..")
os.system("rm -R " + yy)
os.chdir("..")
os.system("rm -R " + media)
os.chdir(s['crawler'])
os.system("rm " + filename)
os.chdir(mydir)
os.chdir("..")
# print today.year
# scrapy crawl noticias -t json -o $y-$m-$d.json -a year=$y -a month=$m -a day=$d # ejecucion del crawler correspondiente segun el sitio
\ No newline at end of file
File added
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class NoticiasItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
title = scrapy.Field()
text = scrapy.Field()
date = scrapy.Field()
location = scrapy.Field()
author = scrapy.Field()
topic = scrapy.Field()
url = scrapy.Field()
File added
# -*- coding: utf-8 -*-
# Define here the models for your spider middleware
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
class PrensagraficaSpiderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, dict or Item objects.
for i in result:
yield i
def process_spider_exception(response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Response, dict
# or Item objects.
pass
def process_start_requests(start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesn’t have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import json
from collections import OrderedDict
class JsonWriterPipeline(object):
def __init__(self, filename):
self.filename = filename
@classmethod
def from_crawler(cls, crawler):
# Here you get whatever value was passed through the "filename" command line parameter
settings = crawler.settings
filename = settings.get('filename')
# Instantiate the pipeline with the file name
return cls(filename)
def open_spider(self, spider):
self.counter = 0
self.file = open(self.filename, 'w')
self.file.write("[")
def close_spider(self, spider):
self.file.write("]")
self.file.close()
def process_item(self, item, spider):
# print("this is my item", item)
row = []
try:
row.append(("date", item['date']))
except:
pass
try:
row.append(("topic", item['topic']))
except:
pass
try:
row.append(("title", item['title']))
except:
pass
try:
row.append(("author", item['author']))
except:
pass
try:
row.append(("location", item['location']))
except:
pass
try:
row.append(("text", item['text']))
except:
pass
try:
row.append(("url", item['url']))
except:
pass
line = OrderedDict(row)
self.counter += 1
if self.counter == 1:
self.file.write(json.dumps(line))
elif self.counter > 1:
self.file.write(",\n" + json.dumps(line))
return item
File added
# -*- coding: utf-8 -*-
# Scrapy settings for prensaGrafica project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
# http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
# http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
BOT_NAME = 'prensaGrafica'
SPIDER_MODULES = ['prensaGrafica.spiders']
NEWSPIDER_MODULE = 'prensaGrafica.spiders'
# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'prensaGrafica (+http://www.yourdomain.com)'
# Obey robots.txt rules
# ROBOTSTXT_OBEY = True
# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32
# Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
DOWNLOAD_DELAY = 0.5
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16
# Disable cookies (enabled by default)
COOKIES_ENABLED = False
# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False
# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
# 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
# 'Accept-Language': 'en',
#}
# Enable or disable spider middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'prensaGrafica.middlewares.PrensagraficaSpiderMiddleware': 543,
#}
# Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'prensaGrafica.middlewares.MyCustomDownloaderMiddleware': 543,
#}
# Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#}
# Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
'prensaGrafica.pipelines.JsonWriterPipeline': 300,
}
# Enable and configure the AutoThrottle extension (disabled by default)
# See http://doc.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False
# Enable and configure HTTP caching (disabled by default)
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
File added
# This package will contain the spiders of your Scrapy project
#
# Please refer to the documentation for information on how to create and manage
# your spiders.
File added
# -*- coding: utf-8 -*-
import scrapy, re, json
from datetime import date
from prensaGrafica.items import NoticiasItem
"""
MEDIO:
La Prensa Gráfica, El Salvador
USO:
// Si se quiere obtener todas las noticias desde las más actuales hasta las más antiguas. //
scrapy crawl noticias --nolog -s filename=noticias.json
-------------------------------------------------------------------------------------------------
// Si se quiere obtener todas las noticias desde las más actuales hasta una fecha específica. //
scrapy crawl noticias --nolog -s filename=noticias.json -a year=2018 -a month=2 -a day=29
-------------------------------------------------------------------------------------------------
Después será necesario hacer uso del archivo parse_date_files.py para que las noticias contenidas
en noticias.json sean separadas en archivos por fecha.
"""
TAG_RE = re.compile(r'<[^>]+>')
def remove_tags(text):
return TAG_RE.sub('', text)
DAT_RE = re.compile(r'-\d{8}-')
class ImportantData(scrapy.Item):
section = scrapy.Field()
page = scrapy.Field()
class QuotesSpider(scrapy.Spider):
name = "noticias"
def start_requests(self):
self.year = getattr(self, "year", None)
self.month = getattr(self, "month", None)
self.day = getattr(self, "day", None)
if self.year is not None and self.month is not None and self.day is not None:
self.stopDate = date(int(self.year), int(self.month), int(self.day))
else:
self.stopDate = None
self.baseURL = "https://www.laprensagrafica.com"
self.baseURI = self.baseURL + "/ajax/get_section_news.html?viewmore=%2Fajax%2Fget_section_news.html&page="
self.sectionURI = "&size=6&section="
sectionList = ["elsalvador", "departamento15", "internacionales", "deportes", "economia",
"opinion", "techlife", "farandula", "salud", "tendencias", "mujer", "turismo"]
# sectionList = ["elsalvador"]
for s in sectionList:
yield scrapy.Request(url=self.baseURL + "/seccion/" + s, callback=self.parse)
def parse(self, response):
searchData = ImportantData()
CONTINUE_SEARCHING = True
section = response.url[response.url.rfind("/") + 1:]
if section == "internacionales": section = "internacional"
if self.stopDate is None:
for link in response.xpath('//div[@class="col-main"]/article/div/h1/a/@href').extract():
yield scrapy.Request(url=self.baseURL + link, callback=self.parse_item)
else:
for link in response.xpath('//div[@class="col-main"]/article/div/h1/a/@href').extract():
res = DAT_RE.search(link)
if res:
dat = res.group(0).replace("-", '')
newsDate = date(int(dat[:4]), int(dat[4:6]), int(dat[6:]))
if newsDate >= self.stopDate:
yield scrapy.Request(url=self.baseURL + link, callback=self.parse_item)
else:
CONTINUE_SEARCHING = False
break
if CONTINUE_SEARCHING:
page = 2
url = self.baseURI + str(page) + self.sectionURI + section
searchData['section'] = section
searchData['page'] = page
request = scrapy.Request(url=url, callback=self.continue_searching)
request.meta['item'] = searchData
yield request
def continue_searching(self, response):
searchData = response.meta['item']
CONTINUE_SEARCHING = True
linkList = response.xpath('//article/div/h1/a/@href').extract()
if len(linkList) > 0:
if self.stopDate is None:
for link in linkList:
yield scrapy.Request(url=self.baseURL + link, callback=self.parse_item)
else:
for link in linkList:
res = DAT_RE.search(link)
if res:
dat = res.group(0).replace("-", '')
newsDate = date(int(dat[:4]), int(dat[4:6]), int(dat[6:]))
if newsDate >= self.stopDate:
yield scrapy.Request(url=self.baseURL + link, callback=self.parse_item)
else:
CONTINUE_SEARCHING = False
break
else:
CONTINUE_SEARCHING = False
if CONTINUE_SEARCHING:
searchData['page'] += 1
page = searchData['page']
section = searchData['section']
url = self.baseURI + str(page) + self.sectionURI + section
request = scrapy.Request(url=url, callback=self.continue_searching)
request.meta['item'] = searchData
yield request
def parse_item(self, response):
item = NoticiasItem()
text = ''
"La fecha obtenida ya incluye formato y zona horaria"
newsData = remove_tags(response.xpath('//script[@type="application/ld+json"]').extract_first())
newsDict = json.loads(newsData)
item['date'] = newsDict['datePublished']
item['title'] = newsDict['headline']
try:
topic = response.xpath('//div[@class="news-line"]/a/text()').extract()[-1]
except:
topic = None
item['topic'] = topic
author = response.css('div.content-author').xpath('./p/meta[@itemprop="name"]/@content').extract_first()
if author is not None:
item['author'] = author
for p in response.css('div.news-body').css('p').extract():
text += remove_tags(p) + "\n"
item['text'] = text.strip()
item['url'] = response.url
yield item
File added
# Automatically created by: scrapy startproject
#
# For more information about the [deploy] section see:
# https://scrapyd.readthedocs.org/en/latest/deploy.html
[settings]
default = prensaGrafica.settings
[deploy]
#url = http://localhost:6800/
project = prensaGrafica
# Automatically created by: scrapy startproject
#
# For more information about the [deploy] section see:
# https://scrapyd.readthedocs.org/en/latest/deploy.html
[settings]
default = tribunaHn.settings
[deploy]
#url = http://localhost:6800/
project = tribunaHn
# -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
import scrapy
class NoticiasItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
title = scrapy.Field()
text = scrapy.Field()
date = scrapy.Field()
location = scrapy.Field()
author = scrapy.Field()
topic = scrapy.Field()
url = scrapy.Field()
# -*- coding: utf-8 -*-
# Define here the models for your spider middleware
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/spider-middleware.html
from scrapy import signals
class TribunahnSpiderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, dict or Item objects.
for i in result:
yield i
def process_spider_exception(response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Response, dict
# or Item objects.
pass
def process_start_requests(start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesn’t have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import json
from collections import OrderedDict
class JsonWriterPipeline(object):
def __init__(self, filename):
self.filename = filename
@classmethod
def from_crawler(cls, crawler):
# Here you get whatever value was passed through the "filename" command line parameter
settings = crawler.settings
filename = settings.get('filename')
# Instantiate the pipeline with the file name
return cls(filename)
def open_spider(self, spider):
self.counter = 0
self.file = open(self.filename, 'w')
self.file.write("[")
def close_spider(self, spider):
self.file.write("]")
self.file.close()
def process_item(self, item, spider):
# print("this is my item", item)
row = []
try:
row.append(("date", item['date']))
except:
pass
try:
row.append(("topic", item['topic']))
except:
pass
try:
row.append(("title", item['title']))
except:
pass
try:
row.append(("author", item['author']))
except:
pass
try:
row.append(("location", item['location']))
except:
pass
try:
row.append(("text", item['text']))
except:
pass
try:
row.append(("url", item['url']))
except:
pass
line = OrderedDict(row)
self.counter += 1
if self.counter == 1:
self.file.write(json.dumps(line))
elif self.counter > 1:
self.file.write(",\n" + json.dumps(line))
return item
# -*- coding: utf-8 -*-
# Scrapy settings for tribunaHn project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# http://doc.scrapy.org/en/latest/topics/settings.html
# http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
# http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
BOT_NAME = 'tribunaHn'
SPIDER_MODULES = ['tribunaHn.spiders']
NEWSPIDER_MODULE = 'tribunaHn.spiders'
# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'tribunaHn (+http://www.yourdomain.com)'
# Obey robots.txt rules
# ROBOTSTXT_OBEY = True
# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32
# Configure a delay for requests for the same website (default: 0)
# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
DOWNLOAD_DELAY = 0.5
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16
# Disable cookies (enabled by default)
COOKIES_ENABLED = False
# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False
# Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
# 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
# 'Accept-Language': 'en',
#}
# Enable or disable spider middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'tribunaHn.middlewares.TribunahnSpiderMiddleware': 543,
#}
# Enable or disable downloader middlewares
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'tribunaHn.middlewares.MyCustomDownloaderMiddleware': 543,
#}
# Enable or disable extensions
# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#}
# Configure item pipelines
# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
'tribunaHn.pipelines.JsonWriterPipeline': 300,
}
# Enable and configure the AutoThrottle extension (disabled by default)
# See http://doc.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False
# Enable and configure HTTP caching (disabled by default)
# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
# This package will contain the spiders of your Scrapy project
#
# Please refer to the documentation for information on how to create and manage
# your spiders.
# -*- coding: utf-8 -*-
import scrapy, re, json
from datetime import date
from tribunaHn.items import NoticiasItem
"""
MEDIO:
La Tribuna, Honduras
USO:
// Si se quiere obtener todas las noticias desde las más actuales hasta las más antiguas. //
scrapy crawl noticias --nolog -s filename=noticias.json
-------------------------------------------------------------------------------------------------
// Si se quiere obtener todas las noticias desde las más actuales hasta una fecha específica. //
scrapy crawl noticias --nolog -s filename=noticias.json -a year=2018 -a month=2 -a day=29
-------------------------------------------------------------------------------------------------
Después será necesario hacer uso del archivo parse_date_files.py para que las noticias contenidas
en noticias.json sean separadas en archivos por fecha.
"""
TAG_RE = re.compile(r'<[^>]+>')
def remove_tags(text):
return TAG_RE.sub('', text)
DAT_RE = re.compile(r'\d{4}\/\d{2}\/\d{2}')
class ImportantData(scrapy.Item):
section = scrapy.Field()
page = scrapy.Field()
class QuotesSpider(scrapy.Spider):
name = "noticias"
def start_requests(self):
self.year = getattr(self, "year", None)
self.month = getattr(self, "month", None)
self.day = getattr(self, "day", None)
if self.year is not None and self.month is not None and self.day is not None:
self.stopDate = date(int(self.year), int(self.month), int(self.day))
else:
self.stopDate = None
baseURL = "http://www.latribuna.hn/"
# self.baseURI = self.baseURL + "/ajax/get_section_news.html?viewmore=%2Fajax%2Fget_section_news.html&page="
# self.sectionURI = "&size=6&section="
sectionList = ["noticias", "honduras", "sociedad", "cafeteando", "dejenme-decirles", "desde-usa",
"ecomentarios", "el-cambio-climatico", "el-dossier-de-atenea", "enfoques",
"pecadillos-idiomaticos", "pildoritas", "columnistas", "editorial", "tribuna-del-pueblo",
"anales-historicos", "cine", "dejando-huellas", "dia-7", "dominicales", "done-un-aula",
"especiales-lt", "la-cobra-pregunta", "la-tribuna-agropecuaria", "la-tribuna-cultural",
"nuestro-orgullo", "turismo"]
# sectionList = ["noticias"]
for s in sectionList:
yield scrapy.Request(url=self.baseURL + s, callback=self.parse)
def parse(self, response):
# searchData = ImportantData()
CONTINUE_SEARCHING = True
linkList = response.xpath('//section[@class="section-67"]').css('article.linkbox').xpath('./a[@itemprop="url"]/@href').extract()
linkList.extend(response.xpath('//section[@class="section-67"]').css('div.bottom-margin').css('div.col-sm-6').xpath('./h3/a[@itemprop="url"]/@href').extract())
if self.stopDate is None:
for link in linkList:
yield scrapy.Request(url=link, callback=self.parse_item)
else:
for link in linkList:
res = DAT_RE.search(link)
if res:
dat = map(int, res.group(0).split("/"))
newsDate = date(dat[0], dat[1], dat[2])
if newsDate >= self.stopDate:
yield scrapy.Request(url=link, callback=self.parse_item)
else:
CONTINUE_SEARCHING = False
break
if CONTINUE_SEARCHING:
nextPage = response.xpath('//span[@class="next"]/a/@href').extract_first()
if nextPage is not None:
yield scrapy.Request(url=nextPage, callback=self.parse)
# def continue_searching(self, response):
# searchData = response.meta['item']
# CONTINUE_SEARCHING = True
#
# linkList = response.xpath('//article/div/h1/a/@href').extract()
#
# if len(linkList) > 0:
# if self.stopDate is None:
# for link in linkList:
# yield scrapy.Request(url=self.baseURL + link, callback=self.parse_item)
#
# else:
# for link in linkList:
# res = DAT_RE.search(link)
# if res:
# dat = res.group(0).replace("-", '')
# newsDate = date(int(dat[:4]), int(dat[4:6]), int(dat[6:]))
# if newsDate >= self.stopDate:
# yield scrapy.Request(url=self.baseURL + link, callback=self.parse_item)
#
# else:
# CONTINUE_SEARCHING = False
# break
#
# else:
# CONTINUE_SEARCHING = False
#
# if CONTINUE_SEARCHING:
# searchData['page'] += 1
# page = searchData['page']
# section = searchData['section']
# url = self.baseURI + str(page) + self.sectionURI + section
# request = scrapy.Request(url=url, callback=self.continue_searching)
# request.meta['item'] = searchData
# yield request
def parse_item(self, response):
item = NoticiasItem()
text = ''
"La fecha obtenida ya incluye formato y zona horaria"
newsData = remove_tags(response.xpath('//script[@type="application/ld+json"]').extract_first())
newsDict = json.loads(newsData)
item['date'] = newsDict['datePublished']
item['title'] = newsDict['headline']
try:
topic = response.xpath('//div[@class="news-line"]/a/text()').extract()[-1]
except:
topic = None
item['topic'] = topic
author = response.css('div.content-author').xpath('./p/meta[@itemprop="name"]/@content').extract_first()
if author is not None:
item['author'] = author
for p in response.css('div.news-body').css('p').extract():
text += remove_tags(p) + "\n"
item['text'] = text.strip()
item['url'] = response.url
yield item
No preview for this file type
No preview for this file type
No preview for this file type
No preview for this file type
No preview for this file type
No preview for this file type
import json, os, sys
from datetime import datetime
from collections import OrderedDict
"""
Uso:
python parse_date_files.py <nombre_del_crawler>
Ej.
python parse_date_files.py laJornadaBC2
python parse_date_files.py descarga_hacia_atras/laJornadaBC2
"""
def dictRowGenerator(line):
row = []
try:
row.append(("date", line['date']))
except:
pass
try:
row.append(("topic", line['topic']))
except:
pass
try:
row.append(("title", line['title']))
except:
pass
try:
row.append(("author", line['author']))
except:
pass
try:
row.append(("location", line['location']))
except:
pass
try:
row.append(("text", line['text']))
except:
pass
try:
row.append(("url", line['url']))
except:
pass
return row
info = sys.argv[1]
media = info[info.rfind("/") + 1:]
download_type = info[:info.rfind("/")]
this_file_path = os.path.dirname(os.path.realpath(__file__))
json_file_path = this_file_path+'/descarga_hacia_atras/'+sys.argv[1]
destination_path = this_file_path+'/'+sys.argv[1]
json_file_path = this_file_path + "/" + download_type + "/" + media
destination_path = this_file_path + "/" + media
json_file = json.loads(open(json_file_path+'/noticias.json').read())
json_file = json.loads(open(json_file_path + "/noticias.json").read())
date_set = set()
for news in json_file:
if news['date'] is not None:
news_date = news['date'][:news['date'].rfind('T')]
news_date = news['date'][:news['date'].rfind("T")]
if len(news_date) > 10:
news_date = news['date'][:news['date'].rfind(' ')]
if not news_date in date_set:
date_set.add(news_date)
print(news_date)
urlSet = set()
try:
export_file = open(destination_path+'/'+news_date[:4]+'/'+news_date+'.json', 'a')
export_file = open(destination_path + "/" + news_date[:4] + "/" + news_date + ".json", 'a')
except:
os.makedirs(destination_path+'/'+news_date[:4])
export_file = open(destination_path+'/'+news_date[:4]+'/'+news_date+'.json', 'a')
os.makedirs(destination_path + "/" + news_date[:4])
export_file = open(destination_path + "/" + news_date[:4] + "/" + news_date + ".json", 'a')
counter = 0
export_file.write("[")
for line in json_file:
if line['date'] is not None:
line_date = line['date'][:line['date'].rfind('T')]
line_date = line['date'][:line['date'].rfind("T")]
if len(line_date) > 10:
line_date = line['date'][:line['date'].rfind(' ')]
if line_date == news_date:
if not line['url'] in urlSet and line_date == news_date:
urlSet.add(line['url'])
counter += 1
auxRow = dictRowGenerator(line)
row = OrderedDict(auxRow)
if counter == 1:
export_file.write(json.dumps(line))
export_file.write(json.dumps(row))
elif counter > 1:
export_file.write(",\n" + json.dumps(line))
export_file.write(",\n" + json.dumps(row))
export_file.write("]")
export_file.close()
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment