Las noticias del día 25/10/2018 (GoogleNews & Tableau) by aaizemberg

index.html

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  <title>GoogleNews - 25/10/2018</title>
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googlenews_ar.py

# -*- coding: utf-8 -*-

import feedparser
import pandas as pd

lista = [{"letra":"n","categoria":"Nacional"},
         {"letra":"s","categoria":"Deportes"},
         {"letra":"m","categoria":"Salud"},
         {"letra":"t","categoria":"Ciencia y Tecnología"},
         {"letra":"e","categoria":"Entretenimiento"},
         {"letra":"b","categoria":"Economía"}]
data = []
for l in lista:  
  url = 'https://news.google.com/news?pz=1&cf=all&ned=es_ar&hl=es&topic=' + l['letra'] + '&output=rss'
  d = feedparser.parse( url )
  for e in d.entries:
    if(e!=d.entries[0]):
      titmed2 = e.title
      titmed = titmed2.split(' - ')
      titulo = titmed[0]
      medio = titmed[len(titmed)-1]
      fecha = e.published
      url2 = e.link      # esta URL tiene primero la parte de news.google y despues la del medio
      url = url2.split('&url=')[1]
      categoria = l['categoria']
      tabla = e.summary
      tbl = tabla.replace("</b>", "<b>").split('<b>')
      cantidad = "1"
      for r in tbl:
        if (u"artículos informativos&nbsp;&raquo;" in r):
          cantidad = r.split(' ')[1].replace(".","")      
      data.append([titulo, medio, fecha, url, categoria, int(cantidad)])

df = pd.DataFrame(data, columns=['Title', 'Source', 'Date', 'url', 'Category', 'Size'])
df = df.sort_values(by='Size', ascending=False)
df.to_csv('googlenews_ar.tsv', sep='\t', header=True, index=False, encoding='utf-8')