How to find json data? - json

chitown88 help me to find the json on this website : https://www.iwc.com/fr/fr/watch-collections/pilot-watches/iw329303-big-pilots-watch-43.html
It seems that you need to replace html by .productinfo.FR.json
Source : How to scrape specific information on a website
I would like to do the same output with this page : https://www.omegawatches.com/fr-fr/watch-omega-constellation-quartz-27-mm-12315276005001
But I cannot manage to scrape those informations because the page is dynamic and I cannot find the json data, I searched for hours.
Do you have any solutions in order to scrape the same output than the question source ?


There isn't anything special about this page. Just grab the right information with beautifulsoup:
import requests
from bs4 import BeautifulSoup
url = "https://www.omegawatches.com/fr-fr/watch-omega-constellation-quartz-27-mm-12315276005001"
soup = BeautifulSoup(requests.get(url).content, "html.parser")
title = soup.title.text.split("|")[0].strip()
description = soup.select_one(".description-content").get_text(strip=True)
price = soup.select_one(".price").text
info = "\n".join(
tag.get_text(strip=True)
for tag in soup.select(
".product-info-details-right .li, .product-info-details-right li"
)
)
print(title)
print()
print(description)
print("-" * 80)
print(price)
print("-" * 80)
print(info)
Prints:
Constellation Quartz 27 mm - 123.15.27.60.05.001
L'esthétique particulièrement remarquable et intemporelle de la collection OMEGA Constellation se caractérise par l'originalité du cadran et la présence des fameuses griffes.Ce modèle brossé se distingue par un cadran en nacre blanche protégé par un verre saphir résistant aux rayures. La lunette sertie de diamants est montée sur un boîtier de 27 mm en acier inoxydable sur un bracelet également en acier inoxydable.Cette montre est animée par le calibre OMEGA 1376, un mouvement de précision à quartz.
--------------------------------------------------------------------------------
5 000,00 €
--------------------------------------------------------------------------------
Diamants
Entre‑corne :18 mm
Bracelet :acier
Boîtier :acier
Diamètre du boîtier :27 mm
Couleur du cadran :blanc
Verre :verre saphir bombé résistant aux rayures, traité antireflet à l’intérieur
Étanchéité :10 bars (100 mètres / 330 pieds)
Type de mouvement :quartz
Calibre :OMEGA 1376
Mouvement de précision à quartz, finition rhodiée.
Durée de vie de la pile :48 mois
Type :quartz
Swiss Made
GARANTIE 5 ANS
Paiement sécurisé
Livraison et retour offerts

Related

Trying to scrape text from pages where data are loaded from external URL

I am using this code to collect the links to all past minutes issued by the central bank of Brazil
import requests
import textwrap
from bs4 import BeautifulSoup
url = "https://www.bcb.gov.br/api/servico/sitebcb/atascopom-conteudo/ultimas?quantidade=1000&filtro="
data = requests.get(url).json()
links = []
for i in range(178):
temp_link = "https://www.bcb.gov.br/"+data['conteudo'][i]['LinkPagina']
links.append(temp_link)
print(links)
The code does generate all the links as needed. Unfortunately, when I loop over the links and try to copy the main text in the body of the respective pages, I get empty results. Based on a previous related question, I believe the issue is that the data in the respective pages are loaded from external URLs. Unfortunately I do not know how to overcome this problem in the context of my loop.
Any help is appreciated.

import requests
from bs4 import BeautifulSoup
def main(url):
with requests.Session() as req:
params = {
"quantidade": 1000,
"filtro": ""
}
r = req.get(url, params=params)
items = [x['LinkPagina'].rsplit('/', 1)[-1]
for x in r.json()['conteudo']]
for x in items:
npr = {
"filtro": "IdentificadorUrl eq '{}'".format(x)
}
r = req.get(
'https://www.bcb.gov.br/api/servico/sitebcb/atascopom/principal', params=npr)
soup = BeautifulSoup(
r.json()['conteudo'][0]['OutrasInformacoes'], 'lxml')
print(soup.select_one('.lista1').text)
exit() # <-- Remove it.
main('https://www.bcb.gov.br/api/servico/sitebcb/atascopom-conteudo/ultimas')
Output:
1.
A
inflação medida pela variação do Índice Nacional de Preços ao Consumidor Amplo
(IPCA) atingiu 0,78% em maio, 0,17 ponto percentual (p.p.) acima da registrada
no mês anterior. Dessa forma, a inflação acumulada em doze meses registrou 9,32%
em maio (8,47% em maio de 2015), com os preços livres aumentando 8,82% (6,82%
em maio de 2015), e os administrados, 10,90% (14,09% em maio de 2015).
Especificamente sobre preços livres, os de itens comercializáveis aumentaram 9,55%
em doze meses até maio (5,71% em maio de 2015), e os de não comercializáveis,
8,19% (7,79% em maio de 2015). Note-se, ainda, que os preços no segmento de
alimentação e bebidas variaram 12,72% em doze meses até maio (8,80% em maio de
2015), e os dos serviços, 7,51% (8,23% em maio de 2015). Em síntese, as
informações disponíveis refletem, em parte, a dinâmica de maior persistência
dos preços no segmento de serviços – mas que já mostram alguma desaceleração –,os processos de realinhamento de preços relativos e choques temporários de
oferta no segmento de alimentação e bebidas.

Is there a way to extract part of a dataframe using pandas (or other library) in Python?

Hi I am new on Python and pandas. So please excuse my mistakes.
I want to know if it's possible to use a dataframe and sort it with pandas.
I'm still in class, but I'd like to advance in my projects.
I want / I'd like to extract part of the JSON file.
I want all the system_name =Métro de Paris to be in a JSON file.
Following are the current code I have (JSON and script).
Thanks in advance for your help!
import pandas as pd
# parse according to "system_name":"Métro de Paris"
data = pd.read_json(r'paris_lines_systems_and_modes.json')
[{"id":406,"name":"Ancien M 2nord","url_name":"406-ancien-m-2nord","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":405,"name":"Ancien M 2sud","url_name":"405-ancien-m-2sud","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":399,"name":"Ancien M 14","url_name":"399-ancien-m-14","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":460,"name":"Ancienne ligne A Nord-Sud","url_name":"460-ancienne-ligne-a-nord-sud","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":459,"name":"Ancienne ligne B Nord-Sud","url_name":"459-ancienne-ligne-b-nord-sud","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":411,"name":"Austerlitz-Auteuil","url_name":"411-austerlitz-auteuil","color":"#000","system_id":303,"system_name":"Navettes fluviales","transport_mode_id":0,"transport_mode_name":"default"},{"id":471,"name":"CDG Express","url_name":"471-cdgexpress","color":"#f0871f","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":7,"transport_mode_name":"people_mover"},{"id":465,"name":"CDGVal 1","url_name":"465-cdgval-1","color":"#0a3071","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":7,"transport_mode_name":"people_mover"},{"id":466,"name":"CDGVal 2","url_name":"466-cdgval-2","color":"#0a3071","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":7,"transport_mode_name":"people_mover"},{"id":410,"name":"Charenton-Auteuil","url_name":"410-charenton-auteuil","color":"#000","system_id":303,"system_name":"Navettes fluviales","transport_mode_id":0,"transport_mode_name":"default"},{"id":407,"name":"Funiculaire de Monmartre","url_name":"407-funiculaire","color":"#601e92","system_id":302,"system_name":"Funiculaire","transport_mode_id":0,"transport_mode_name":"default"},{"id":381,"name":"H","url_name":"381-h","color":"#7b4339","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":382,"name":"J","url_name":"382-j","color":"#cdcd00","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":383,"name":"K","url_name":"383-k","color":"#c7b300","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":384,"name":"L","url_name":"384-l","color":"#7584bc","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":472,"name":"Le Bus Direct 1","url_name":"472-le-bus-direct-1","color":"#b20066","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":8,"transport_mode_name":"bus"},{"id":473,"name":"Le Bus Direct 2","url_name":"473-le-bus-direct-2","color":"#7bbb58","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":8,"transport_mode_name":"bus"},{"id":474,"name":"Le Bus Direct 3","url_name":"474-le-bus-direct-3","color":"#0098d8","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":8,"transport_mode_name":"bus"},{"id":475,"name":"Le Bus Direct 4","url_name":"475-le-bus-direct-4","color":"#ff9b00","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":8,"transport_mode_name":"bus"},{"id":412,"name":" Le Louvre-Ablon","url_name":"412-le-louvre-ablon","color":"#000","system_id":303,"system_name":"Navettes fluviales","transport_mode_id":0,"transport_mode_name":"default"},{"id":643,"name":"Ligne Horizon","url_name":"643-ligne-horizon","color":"#0092e2","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":352,"name":"M 1","url_name":"352-ligne-1","color":"#ffcd00","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":353,"name":"M 2","url_name":"353-ligne-2","color":"#006db8","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":354,"name":"M 3","url_name":"354-ligne-3","color":"#9b993b","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":355,"name":"M 3bis","url_name":"355-ligne-3bis","color":"#88d3df","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":356,"name":"M 4","url_name":"356-ligne-4","color":"#ba4a9a","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":357,"name":"M 5","url_name":"357-ligne-5","color":"#f78e4b","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":358,"name":"M 6","url_name":"358-ligne-6","color":"#77c596","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":303,"name":"M 7","url_name":"303-ligne-7","color":"#f49eb2","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":359,"name":"M 7bis","url_name":"359-ligne-7bis","color":"#77c596","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":360,"name":"M 8","url_name":"360-ligne-8","color":"#c5a3cc","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":361,"name":"M 9","url_name":"361-ligne-9","color":"#cdc92b","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":362,"name":"M 10","url_name":"362-ligne-10","color":"#dfb03a","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":363,"name":"M 11","url_name":"363-ligne-11","color":"#8c6539","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":364,"name":"M 12","url_name":"364-ligne-12","color":"#008c59","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":365,"name":"M 13","url_name":"365-ligne-13","color":"#87d2df","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":366,"name":"M 14","url_name":"366-ligne-14","color":"#662c91","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":395,"name":"M 15","url_name":"395-m-15","color":"#a60f31","system_id":300,"system_name":"Grand Paris Express","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":396,"name":"M 16","url_name":"396-m-16","color":"#ec7cae","system_id":300,"system_name":"Grand Paris Express","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":397,"name":"M 17","url_name":"397-m-17","color":"#ec7cae","system_id":300,"system_name":"Grand Paris Express","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":398,"name":"M 18","url_name":"398-m-18","color":"#95bf32","system_id":300,"system_name":"Grand Paris Express","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":385,"name":"N","url_name":"385-n","color":"#00a092","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":476,"name":"Navette","url_name":"476-navette","color":"#000","system_id":83,"system_name":"Métro de Paris","transport_mode_id":4,"transport_mode_name":"heavy_rail"},{"id":394,"name":"Orlyval","url_name":"394-orlyval","color":"#7d7e7e","system_id":299,"system_name":"Dessertes aéroportuaires","transport_mode_id":7,"transport_mode_name":"people_mover"},{"id":386,"name":"P","url_name":"386-p","color":"#f0b600","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":387,"name":"R","url_name":"387-r","color":"#e4b4d1","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":376,"name":"RER A","url_name":"376-rer-a","color":"#ec1b2a","system_id":297,"system_name":"RER","transport_mode_id":3,"transport_mode_name":"commuter_rail"},{"id":377,"name":"RER B","url_name":"377-rer-b","color":"#4c90cc","system_id":297,"system_name":"RER","transport_mode_id":3,"transport_mode_name":"commuter_rail"},{"id":378,"name":"RER C","url_name":"378-rer-c","color":"#ffdc1d","system_id":297,"system_name":"RER","transport_mode_id":3,"transport_mode_name":"commuter_rail"},{"id":379,"name":"RER D","url_name":"379-rer-d","color":"#00ab66","system_id":297,"system_name":"RER","transport_mode_id":3,"transport_mode_name":"commuter_rail"},{"id":380,"name":"RER E","url_name":"380-rer-e","color":"#c67db4","system_id":297,"system_name":"RER","transport_mode_id":3,"transport_mode_name":"commuter_rail"},{"id":414,"name":"STCRP","url_name":"414-stcrp","color":"#000","system_id":303,"system_name":"Navettes fluviales","transport_mode_id":0,"transport_mode_name":"default"},{"id":367,"name":"T 1","url_name":"367-ligne-1","color":"#14609e","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":368,"name":"T 2","url_name":"368-ligne-2","color":"#ba498d","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":369,"name":"T 3a","url_name":"369-ligne-3a","color":"#ef7d2d","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":370,"name":"T 3b","url_name":"370-ligne-3b","color":"#009b41","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":371,"name":"T 4","url_name":"371-ligne-4","color":"#d9922b","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":372,"name":"T 5","url_name":"372-ligne-5","color":"#914e8e","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":373,"name":"T 6","url_name":"373-ligne-7","color":"#e95c36","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":375,"name":"T 7","url_name":"375-t-7","color":"#885f30","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":374,"name":"T 8","url_name":"374-t-8","color":"#8c8235","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":389,"name":"T 9","url_name":"389-t-9","color":"#009cb4","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":390,"name":"T 10","url_name":"390-t-10","color":"#8c8235","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":391,"name":"T 11","url_name":"391-t-11","color":"#df5f3d","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":506,"name":"T 11 express","url_name":"506-t-11-express","color":"#e2562e","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":392,"name":"T 12","url_name":"392-t-12","color":"#a02a3a","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":393,"name":"T 13","url_name":"393-t-13","color":"#885f30","system_id":296,"system_name":"Tramway d'Île-de-France","transport_mode_id":5,"transport_mode_name":"light_rail"},{"id":400,"name":"T Zen 1","url_name":"400-t-zen-1","color":"#c6cd01","system_id":301,"system_name":"TZen","transport_mode_id":6,"transport_mode_name":"brt"},{"id":401,"name":"T Zen 2","url_name":"401-t-zen-2","color":"#c6cd01","system_id":301,"system_name":"TZen","transport_mode_id":6,"transport_mode_name":"brt"},{"id":402,"name":"T Zen 3","url_name":"402-t-zen-3","color":"#c6cd01","system_id":301,"system_name":"TZen","transport_mode_id":6,"transport_mode_name":"brt"},{"id":403,"name":"T Zen 4","url_name":"403-t-zen-4","color":"#c6cd01","system_id":301,"system_name":"TZen","transport_mode_id":6,"transport_mode_name":"brt"},{"id":404,"name":"T Zen 5","url_name":"404-t-zen-5","color":"#c6cd01","system_id":301,"system_name":"TZen","transport_mode_id":6,"transport_mode_name":"brt"},{"id":409,"name":"Tuileries-Suresnes","url_name":"409-tuileries-suresnes","color":"#000","system_id":303,"system_name":"Navettes fluviales","transport_mode_id":0,"transport_mode_name":"default"},{"id":388,"name":"U","url_name":"388-u","color":"#d60058","system_id":298,"system_name":"Transilien","transport_mode_id":2,"transport_mode_name":"inter_city_rail"},{"id":408,"name":"Voguéo","url_name":"408-vogueo","color":"#99d420","system_id":303,"system_name":"Navettes fluviales","transport_mode_id":0,"transport_mode_name":"default"}]

So I managed to find how do extract part of the data you want to use / analyse.
You should simply call the column you are trying to extract (in my case system_name) and give its value (in my case "Métro de Paris"). Here The dataframe, data, will now have the data with value "Métro de Paris" form the column "system_name".
data = data[data.system_name == "Métro de Paris"]

0 records when importing a JSON file in mysql WorkBench

I'm trying to import a .json into a database using MySQL workbench, but the "Table data import wizard" always end up with 0 records.
here's the first line of my .json:
{
"Title":"Fort de Villiers",
"Keywords":"Histoire",
"Descripion":"Le fort de Villiers est un ancien fort du système défensif de Paris, situé sur la commune de Noisy-le-Grand, dans le département français de Seine-Saint-Denis. Construit à la fin du XIXᵉ siècle, il faisait partie du système Séré de Rivières, destiné a établir un rideau défensif autour de Paris.",
"Images":["https://lh3.googleusercontent.com/proxy/J-7ut85_OfCJn33_EZcooBkGyjxGBXt5CifUJ_bGzHaZUHlT4XVYwNaIKpZ4hScn3ICcUMI12RZ4xzTxUGmN1LCK694hynag4zh68dLypDwQ_Gy9NwCIFweGTjkh3Wft4IMr0No1tFWbTQ6oBnmLgRaomsWzvoJrTa8=w296-h202-n-k-no","https://lh5.googleusercontent.com/p/AF1QipNs2wi72SiKVlLr1WHIPfAaATrXOfhswYWEIaOw=w296-h202-n-k-no","https://lh5.googleusercontent.com/p/AF1QipMIY16VgeazmwQAP7PB5biaq5p-9uE3OZ-zVYZB=w296-h202-n-k-no"],
"Lattitude":"48.833573",
"Longitude":"2.5463771",
"Map_url":"https://www.google.com/maps/place/Fort+de+Villiers/#48.833573,2.5463771,15z/data=!4m5!3m4!1s0x47e60e0d72beac57:0xd4b8549d2165eef7!8m2!3d48.8335733!4d2.5551319"
}
when i try to import it, i got those fields proposed:
Title : Text
Description : Text
Longitude : Double
Images : json
Map_url : Text
Keywords : Text
Lattitude : Double
With some research i found out that it may be that the "text" columns countains characters that doesn't fill the requiring format, but i didn't manage to get the right format.
Do i need to modify my .json to get a correct utf8 format?
I'm actually using mysql 8.

Loading data with JSON.parse: Unexpected token /

I'm pretty new with this JSON and AJAX staff, so I was following a tutorial on youtube: https://www.youtube.com/watch?v=rJesac0_Ftw&t=1029s.
The thing is that I have followed the steps exactly like in the video, but I get the following error:
VM34:1 Uncaught SyntaxError: Unexpected token / in JSON at position 0
at JSON.parse (<anonymous>)
at XMLHttpRequest.theRequest.onload (loader.js:5)
My JSON script:
[
{
"name":"一",
"sound": {
"kunyomi": ["ひと．つ"],
"onyomi": ["イチ"]
},
"description":"Representaba la unidad, el absoluto. Cuando funciona como componente, este carácter adquiere el significado de suelo o de techo según su posición: si se encuentra encima de otro componente, toma el significado de techo; si está debajo, de suelo. Todas las formas antiguas de los números están asociadas a fuerzas del universo y a la mitología. Los números pares son el ying y los impares son el yang.",
"examples":["-月[いちがつ] - Enero", "-日[ついたち] - Día uno", "-回[いっかい] - Dos veces", "-階[いっかい] - Primer Piso"]
},
{
"name":"ニ",
"sound": {
"kunyomi": ["ふた．つ"],
"onyomi": ["ニ、ジ"]
},
"description":"Representa el cielo 一 y la tierra 一, el ying y el yang. Al igual que en el caso de los numerales romanos, el kanji de dos es una simple duplicación del trazo horizontal que significa uno.",
"examples":["二月[にがつ] - Febrero", "二日[ふつか] - Día dos", "二回[にかい] - Dos veces"]
}
]
And I call that JSON with the following code:
var ourRequest = new XMLHttpRequest();
ourRequest.open('GET', 'http://127.0.0.1/japones_flat/kanjis_n5.json');
ourRequest.onload = function() {
"use strict";
var response = JSON.parse(ourRequest.responseText);
console.log(response[0]);
};
ourRequest.send();
I made a little research and it looks like the problem resides in the JSON.parse method, saying that the token "/" is making troubles. After that, I noticed that Dreamweaver had left by default a comment in my .json file, so I deleted it (Because it started with "/") but I keep getting this anoying error. Can you guys help me?
Thanks in advance!

NLTK multilingual POS tagging

I'm trying to pos_tag a text writen in french.
text = unicode("Comment faire pour que mon chien accepte le chat que je vais adopter ? ", errors='ignore')
tagged_sents = nltk.pos_tag_sents(nltk.word_tokenize(text))
this is giving me things that are not relevant, for example "Comment" tagged as "NNP".
The question is: how can I apply POS tagging to French (or another language besides English)?