import requests # importiamo requests, libreria necessaria per effettuare richieste HTTP

API_KEY = "inserisci la tua api-key" # inizializziamo una variabile con la nostra api key

url = f"https://api.nytimes.com/svc/topstories/v2/home.json?api-key={API_KEY}" # inizializziamo una variabile con l'url dell'API e utilizzando 
# il metodo f-string (formattazione della stringa) inseriamo la variabile contenente la nostra chiave tra parentesti graffe assieme all'url

response = requests.get(url) # eseguiamo la richiesta GET

if response.status_code == 200: # controlliamo se la richiesta ha avuto successo (status code 200)
    data = response.json() # converte la risposta ottenuta in formato JSON
    articles = data['results'][:10]  # creiamo una variabile che raccoglie gli articoli e chiediamo di ottenere i primi 10

    for i, article in enumerate(articles): # iteriamo in articles e indichiamo le informazioni che vogliamo ottenere:
        title = article['title']
        url = article['url']
        print(f"{i+1} - {title} {url}")  # visualizziamo a schermo, numerati (partendo da 1), il titolo e l'url dei primi 10 articoli della sezione
        # home dell'API 'top stories'
else:
    print(f"Errore: {response.status_code}")  # se la richiesta dovesse fallire, visualizziamo a schermo l'errore

1 - With Trump Visit, Qatar’s Image Makeover Scores Another Success https://www.nytimes.com/2025/05/14/world/middleeast/trump-qatar.html
2 - A Loyal Ally Joins Trump’s Gulf Tour: The Head of Global Soccer https://www.nytimes.com/2025/05/14/world/middleeast/trump-fifa-world-cup.html
3 - Qatar Woos Trump, and Israeli Officers Privately Admit Gazans Near Starvation https://www.nytimes.com/2025/05/14/podcasts/the-headlines/trump-qatar-syria-gaza-starvation.html
4 - Beyond Tariff Truce, China Readies for a Rocky Time With U.S. https://www.nytimes.com/2025/05/14/world/asia/china-us-tariffs-security.html
5 - 185% Tariffs: How the Trade War Hit One Shipment of T-Shirts https://www.nytimes.com/interactive/2025/05/14/business/economy/trump-china-tariffs-import-goods.html
6 - What to Know About Trump’s Latest Changes to Taxes on Small Packages From China https://www.nytimes.com/2025/05/14/business/trump-tariffs-china-temu-shein.html
7 - In High-Stakes Negotiations, Trump’s Opponents Are Learning His Patterns https://www.nytimes.com/2025/05/13/us/politics/trump-ukraine-china-iran-negotations.html
8 - Menendez Brothers Resentenced to Life With Parole, Paving Way for Freedom https://www.nytimes.com/2025/05/13/us/menendez-brothers-resentenced.html
9 - Wisconsin Judge Indicted on Charges That She Helped Immigrant Evade Agents https://www.nytimes.com/2025/05/13/us/milwaukee-judge-hannah-dugan-immigration.html
10 - Inside the Extraordinary Contradictions in Trump’s Immigration Policies https://www.nytimes.com/2025/05/13/us/politics/trump-refugees-white-south-africa-aghanistan.html

import pandas as pd

# Abilitiamo la modalità "copy on write" di pandas per evitare avvertimenti di copia
pd.options.mode.copy_on_write = True

# Definiamo la chiave API 
API_KEY = "inserisci la tua api-key"  # Da sostituire con la propria chiave API

def get_most_popular_articles():
    # la funzione recupera gli articoli più popolari dal New York Times utilizzando l'API Most Popular.
    
    url = f"https://api.nytimes.com/svc/mostpopular/v2/viewed/{7}.json?api-key={API_KEY}"
    # L'API "viewed" restituisce gli articoli più visualizzati
    # Il parametro "7" indica che vogliamo gli articoli più visti negli ultimi 7 giorni

    response = requests.get(url)
    
    if response.status_code == 200: 
        return response.json()  
    else:
        print(f"Errore nella richiesta: {response.status_code}") 
        return None 
        

# Inizializziamo delle liste vuote per memorizzare i diversi campi degli articoli
titles = []           
published_dates = []   
authors = []          
abstracts = []        
urls = []             
sections = []         
abstract_lengths = [] 
type = []             
des_facet = []        
geo_facet = []        

data = get_most_popular_articles() # Chiamiamo la funzione per ottenere gli articoli più popolari
    
if data:  # Verifica se i dati sono stati recuperati con successo
    for article in data['results']: # Iteriamo attraverso ogni articolo nei risultati, estraiamo i vari campi da ciascun articolo e 
        # aggiungiamoli agli array corrispondenti
        titles.append(article['title'])  
        published_dates.append(article['published_date'])  
        authors.append(article.get('byline', 'N/A'))  
        abstracts.append(article['abstract'])  
        des_facet.append(article['des_facet'])  
        geo_facet.append(article['geo_facet'])  
        urls.append(article['url'])  
        sections.append(article['section'])  
        abstract_lengths.append(len(article['abstract'].split()))  
        type.append(article['type'])  

# Creiamo un DataFrame pandas con i dati raccolti
nyt_df = pd.DataFrame({
    'title': titles,
    'published_date': published_dates,
    'author': authors,
    'abstract': abstracts,
    'url': urls,
    'section': sections,
    'abstract_length': abstract_lengths,  
    'type': type,
    'des_facet': des_facet,  
    'geo_facet': geo_facet   
})

nyt_df.head()

def get_nyt_archive_articles(year, month, api_key):
    # la funzione recupera gli articoli dall'Archive API specifici per un mese e un anno e restituisce un DataFrame. 
    
    url = f"https://api.nytimes.com/svc/archive/v1/{year}/{month}.json?api-key={api_key}"
    
    response = requests.get(url) 
    
    if response.status_code == 200: # 
        articles = response.json().get("response", {}).get("docs", [])
        
        # Creiamo del DataFrame
        df_ottobre_2023 = pd.DataFrame([{
            'title': art.get("headline", {}).get("main", "N/A"), 
            'section': art.get("section_name", "N/A"), 
            'keywords': [kw["value"] for kw in art.get("keywords", [])], 
            'word_count': art.get("word_count", "N/A"), 
            'document_type': art.get("document_type", "N/A"), 
            'pub_date': art.get("pub_date", "N/A"), 
            'snippet': art.get("snippet", "N/A") 
        } for art in articles]) 
        
        return df_ottobre_2023 
    else:
        # In caso di errore nella richiesta, stampa un messaggio con il codice di stato
        print(f"Errore nella richiesta API per {year}-{month}: {response.status_code}")
        return None 

# Definiamo i parametri necessari per la richiesta
API_KEY = "inserisci la tua api-key" # Chiave API per l'autenticazione
year, month = 2023, 10  # Anno e mese specifici (Ottobre 2023)

# Chiamata alla funzione per ottenere gli articoli di Ottobre 2023
df_ottobre_2023 = get_nyt_archive_articles(year, month, API_KEY)
df_ottobre_2023.head()

import time  # Importiamo time per gestire i ritardi tra le richieste API

def get_nyt_articles(query, api_key):
    # Funzione che recupera articoli dal New York Times specifici per una query tramite l'API Article Search
    
    base_url = "https://api.nytimes.com/svc/search/v2/articlesearch.json" 
    
    all_articles = []  # Lista vuota che conterrà tutti gli articoli recuperati
    page_limit = 10    # Impostiamo un limite al numero di pagine da recuperare per:
                       # - Evitare di superare i limiti dell'API
                       # - Controllare il volume di dati recuperati
                       # - Ridurre i tempi di esecuzione
    
    for page in range(page_limit):  
        params = {              # i parametri sono:
            "q": query,         # La query di ricerca (es. "Gaza")
            "page": page,       # Il numero di pagina per la paginazione
            "api-key": api_key  # La chiave API per l'autenticazione
        }
        
        response = requests.get(base_url, params=params)
        
        if response.status_code == 200:  
            data = response.json()  
            articles = data.get("response", {}).get("docs", [])  
            
            if not articles:  
                break  
                
            all_articles.extend(articles) 
                        
            
            time.sleep(6) # Aggiunge un ritardo di 6 secondi tra le richieste per rispettare i limiti dell'API - circa 10 richieste al minuto (una ogni 6 secondi)
        else:
            # Stampa un messaggio di errore se la richiesta non è andata a buon fine
            print(f"Errore nella richiesta API (pagina {page}): {response.status_code}")
            break  
    
    return all_articles 


API_KEY = "inserisci la tua api-key" # da sostituire con la propria api-key

# Inizializziamo le liste vuote per memorizzare i dati degli articoli
titles = []         
sections = []       
keywords = []       
word_counts = []    
document_types = [] 
pub_dates = []      
snippets = []       
urls = []           


query = "Gaza" # definiamo la query
articles = get_nyt_articles(query, API_KEY)  # Ottieniamo gli articoli che hanno un match con la query


for article in articles:
    titles.append(article.get("headline", {}).get("main", "N/A")) 
    sections.append(article.get("section_name", "N/A"))
    keywords.append([keyword["value"] for keyword in article.get("keywords", [])]) 
    word_counts.append(article.get("word_count", 0)) 
    document_types.append(article.get("document_type", "N/A")) 
    pub_dates.append(article.get("pub_date", "N/A")) 
    snippets.append(article.get("snippet", "N/A")) 
    urls.append(article.get("web_url", "N/A")) 

# Creiamo un DataFrame pandas con i dati raccolti
articles_df = pd.DataFrame({
    'title': titles,
    'section': sections,
    'keywords': keywords,
    'word_count': word_counts,
    'document_type': document_types,
    'pub_date': pub_dates,
    'snippet': snippets,
    'url': urls
})

articles_df.head()

Errore nella richiesta API (pagina 5): 429

from pynytimes import NYTAPI # importiamo la libreria NYTAPI
import pandas as pd # importiamo pandas (abbreviato pd) per la manipolazione dei dati in formato tabellare

nyt = NYTAPI("inserisci la tua api-key", parse_dates=True)  
# parse_dates=True indica che la libreria pynytimes convertirà automaticamente le date fornite dall'API del New York Times
# in oggetti datetime di Python.

# ottiene gli articoli più condivisi su Facebook negli ultimi 30 giorni:
most_shared_facebook = nyt.most_shared(
    days = 30,
    method = "facebook"
)

# crea il dataframe: 
most_shared_facebook_df = pd.DataFrame(most_shared_facebook)
most_shared_facebook_df.head()

import matplotlib.pyplot as plt # Importiamo la libreria per creare grafici

# calcoliamo il numero di articoli per ogni sezione (colonna 'section') utilizzando value_counts()
section_counts = df_ottobre_2023['section'].value_counts()

# creiamo un bar plot in cui l'asse x saranno le etichette delle sezioni, l'asse y i conteggi degli articoli per ogni sezione
plt.figure(figsize=(10, 6))
section_counts.plot(kind='bar', color='blue')
plt.title("Numero di articoli per sezione (10/2023)")
plt.xlabel("Sezioni")
plt.ylabel("Numero di articoli")
plt.xticks(rotation=90)
plt.tight_layout()  # Ottimizziamo la disposizione degli elementi del grafico per evitare sovrapposizioni
plt.show()

from collections import Counter # Importiamo Counter per contare facilmente la frequenza degli elementi

# cerchiamo le keywords più comuni
keywords_flat = [keyword for sublist in df_ottobre_2023['keywords'] for keyword in sublist]
keyword_counts = Counter(keywords_flat) 
most_common_keywords = keyword_counts.most_common(10)

# Creiamo un grafico a barre orizzontale che mostra le keywords più usate negli articoli
plt.barh([keyword[0] for keyword in most_common_keywords], [keyword[1] for keyword in most_common_keywords], color='blue')
plt.title('Keywords più comuni')
plt.xlabel('Frequenza')
plt.ylabel('Keyword')
plt.show()

# avendo già definito la funzione per accedere ad Archive API, basta richiamarla e definirne i parametri
year, month = 2023, 12

df_dicembre_2023 = get_nyt_archive_articles(year, month, API_KEY) 
df_dicembre_2023.head()

year, month = 2024, 1

df_gennaio_2024 = get_nyt_archive_articles(year, month, API_KEY)
df_gennaio_2024.head()

year, month = 2024, 5

df_maggio_2024 = get_nyt_archive_articles(year, month, API_KEY)
df_maggio_2024.head()

year, month = 2024, 6

df_giugno_2024 = get_nyt_archive_articles(year, month, API_KEY)
df_giugno_2024.head()

year, month = 2024, 10

df_ottobre_2024 = get_nyt_archive_articles(year, month, API_KEY)
df_ottobre_2024.head()

year, month = 2025, 1

df_gennaio_2025 = get_nyt_archive_articles(year, month, API_KEY)
df_gennaio_2025.head()

year, month = 2025, 3

df_marzo_2025 = get_nyt_archive_articles(year, month, API_KEY)
df_marzo_2025.head()

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd

# Lista corretta delle keywords
keywords = [
    'Palestinians',
    'Hamas',
    'Gaza Strip',
    'Israel',
    'Israel-Gaza War (2023)'
]

# Creiamo una figura con una griglia 4x2 per i grafici
fig, axes = plt.subplots(4, 2, figsize=(20, 24))
axes = axes.flatten()  # Appiattisce la matrice 4x2 in un array monodimensionale

# Lista dei dataframe e dei titoli corrispondenti
dataframes = [
    df_ottobre_2023, df_dicembre_2023,
    df_gennaio_2024, df_maggio_2024,
    df_giugno_2024, df_ottobre_2024,
    df_gennaio_2025, df_marzo_2025
]

titles = [
    'Articoli sul conflitto Israelo-Palestinese per giorno (Ottobre 2023)',
    'Articoli sul conflitto Israelo-Palestinese per giorno (Dicembre 2023)',
    'Articoli sul conflitto Israelo-Palestinese per giorno (Gennaio 2024)',
    'Articoli sul conflitto Israelo-Palestinese per giorno (Maggio 2024)',
    'Articoli sul conflitto Israelo-Palestinese per giorno (Giugno 2024)',
    'Articoli sul conflitto Israelo-Palestinese per giorno (Ottobre 2024)',
    'Articoli sul conflitto Israelo-Palestinese per giorno (Gennaio 2025)',
    'Articoli sul conflitto Israelo-Palestinese per giorno (Marzo 2025)'
]

# Ciclo per creare ogni grafico nel suo rispettivo subplot
for i, (df, title) in enumerate(zip(dataframes, titles)):
    # Controllo preliminare sulle colonne
    if 'keywords' not in df.columns or 'pub_date' not in df.columns:
        print(f"'{title}' manca delle colonne richieste ('keywords', 'pub_date').")
        continue
    
    # Filtriamo gli articoli che contengono almeno una keyword
    mask = df['keywords'].apply(lambda kw_list: any(k in kw_list for k in keywords))
    filtered_articles = df[mask].copy()  # Creiamo una copia esplicita per evitare SettingWithCopyWarning
    
    if filtered_articles.empty:
        axes[i].text(0.5, 0.5, 'Nessun dato disponibile', ha='center', va='center', fontsize=12, color='red')
        axes[i].set_title(title)
        axes[i].set_xticks([])
        axes[i].set_yticks([])
        continue
    
    # Estraiamo solo la data (senza orario) e contiamo gli articoli per giorno
    filtered_articles.loc[:, 'date'] = pd.to_datetime(filtered_articles['pub_date'], errors='coerce').dt.date
    articles_count = filtered_articles.groupby('date').size().reset_index(name='count')
    
    if articles_count.empty:
        axes[i].text(0.5, 0.5, 'Nessun dato dopo raggruppamento', ha='center', va='center', fontsize=12, color='red')
        axes[i].set_title(title)
        axes[i].set_xticks([])
        axes[i].set_yticks([])
        continue
    
    # Creiamo il grafico nel subplot corrispondente
    sns.barplot(x='date', y='count', data=articles_count, ax=axes[i])
    
    # Personalizziamo il grafico
    axes[i].set_title(title)
    axes[i].set_xlabel('Data')
    axes[i].set_ylabel('Numero di articoli')
    axes[i].tick_params(axis='x', rotation=45)

# Aggiustiamo il layout per evitare sovrapposizioni
plt.tight_layout()
plt.show()

import matplotlib.pyplot as plt # libreria che ci serve per creare i grafici
import pandas as pd # libreria per la manipolazione dei dati in formato tabellare
import matplotlib.dates as mdates # Modulo di Matplotlib per gestire e formattare date negli assi temporali dei grafici
from datetime import datetime # Oggetto datetime usato per gestire e convertire date e orari
import numpy as np # Libreria per operazioni numeriche avanzate

# Lista dei dataframe e delle date corrispondenti
dataframes = [
    df_ottobre_2023, df_dicembre_2023, 
    df_gennaio_2024, df_maggio_2024, 
    df_giugno_2024, df_ottobre_2024, 
    df_gennaio_2025, df_marzo_2025
]

# Convertiamo i nomi in date di riferimento per il grafico (primo giorno di ogni mese)
date_labels = [
    datetime(2023, 10, 1), datetime(2023, 12, 1),
    datetime(2024, 1, 1), datetime(2024, 5, 1),
    datetime(2024, 6, 1), datetime(2024, 10, 1),
    datetime(2025, 1, 1), datetime(2025, 3, 1)
]

# Calcoliamo il numero totale di articoli per ogni mese
article_counts = []
for df in dataframes:
    # Filtra articoli che contengono almeno una keyword
    filtered_articles = df[df['keywords'].apply(lambda kw_list: any(k in kw_list for k in keywords))]
    article_counts.append(len(filtered_articles))

# Creiamo il grafico scatter
plt.figure(figsize=(15, 8))

# Aggiungiamo una dimensione variabile ai punti in base al numero di articoli
sizes = [count * 2 for count in article_counts]  # Moltiplichiamo per 2 per rendere i punti più visibili

# Scatter plot con dimensione variabile
plt.scatter(date_labels, article_counts, s=sizes, alpha=0.7, c=range(len(date_labels)), cmap='viridis')

# Personalizziamo l'asse x per mostrare le date in formato mese-anno
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%b %Y'))
plt.gca().xaxis.set_major_locator(mdates.MonthLocator(interval=1))

# Aggiungiamo le linee di collegamento tra i punti
plt.plot(date_labels, article_counts, 'k--', alpha=0.3)

# Aggiungiamo le etichette ai punti
for i, (date, count) in enumerate(zip(date_labels, article_counts)):
    plt.annotate(f"{count} articoli", 
                xy=(date, count),
                xytext=(5, 10),
                textcoords="offset points",
                fontsize=9,
                bbox=dict(boxstyle="round,pad=0.3", fc="white", ec="gray", alpha=0.8))

# Titolo e etichette
plt.title('Articoli sul conflitto Israelo-Palestinese per periodo (Ottobre 2023 - Marzo 2025)', fontsize=14)
plt.xlabel('Periodo', fontsize=12)
plt.ylabel('Numero di articoli', fontsize=12)
plt.grid(True, alpha=0.3)

# Rotiamo le etichette sull'asse x per una migliore leggibilità
plt.xticks(rotation=45)

# Aggiungiamo una colorbar per indicare la progressione temporale
cbar = plt.colorbar(ticks=[])
cbar.set_label('Progressione temporale')

plt.tight_layout()
plt.show()

# Visualizziamo a schermo una tabella con il riassunto dei dati per riferimento
print("Riassunto dei dati:")
print("-" * 50)
print(f"{'Periodo':<15} | {'Numero di articoli':<20}")
print("-" * 50)
for date, count in zip(date_labels, article_counts):
    print(f"{date.strftime('%b %Y'):<15} | {count:<20}")

Riassunto dei dati:
--------------------------------------------------
Periodo         | Numero di articoli  
--------------------------------------------------
Oct 2023        | 570                 
Dec 2023        | 286                 
Jan 2024        | 240                 
May 2024        | 274                 
Jun 2024        | 164                 
Oct 2024        | 319                 
Jan 2025        | 156                 
Mar 2025        | 117

	title	published_date	author	abstract	url	section	abstract_length	type	des_facet	geo_facet
0	A Most Sensitive Subject in the White House: W...	2025-05-07	By Shawn McCreesh	Mrs. Trump has spent fewer than 14 days at the...	https://www.nytimes.com/2025/05/07/us/politics...	U.S.	20	Article	[White House Building (Washington, DC), United...	[]
1	The $200 Billion Gamble: Bill Gates’s Plan to ...	2025-05-08	By David Wallace-Wells	In a wide-ranging interview, he explains his d...	https://www.nytimes.com/2025/05/08/magazine/bi...	Magazine	25	Article	[Foreign Aid, Philanthropy, Developing Countri...	[]
2	Who Is Pope Leo XIV?	2025-05-08	By Elisabetta Povoledo, Jason Horowitz, Emma B...	Here’s what to know about the first American p...	https://www.nytimes.com/2025/05/08/world/europ...	World	18	Article	[Popes, Cardinals (Roman Catholic Prelates), C...	[Rome (Italy), United States, Chicago (Ill)]
3	Kennedy Swims in Washington Creek That Flows W...	2025-05-12	By Chris Cameron	Robert F. Kennedy Jr., the health secretary, s...	https://www.nytimes.com/2025/05/12/us/politics...	U.S.	21	Article	[Water Pollution, United States Politics and G...	[Washington (DC)]
4	India Strikes Pakistan but Is Said to Have Los...	2025-05-06	By Mujib Mashal, Hari Kumar and Salman Masood	Officials and witnesses said that at least two...	https://www.nytimes.com/2025/05/06/world/asia/...	World	24	Article	[War and Armed Conflicts, Defense and Military...	[India, Pakistan, Kashmir, Kashmir and Jammu (...

	title	section	keywords	word_count	document_type	pub_date	snippet
0	Senate Democrat Threatens to Block More of Mil...	U.S.	[Egypt, Human Rights and Human Rights Violatio...	681	article	2023-10-01T00:06:00+0000	The new chairman of the Senate Foreign Relatio...
1	How Each Member Voted on the Senate Stopgap Sp...	U.S.	[Shutdowns (Institutional), Senate, Federal Bu...	0	multimedia	2023-10-01T00:06:25+0000	The Senate overwhelmingly passed a bill to fun...
2	What Does a Russia-Leaning Party Win in an E.U...	World	[Slovakia, Politics and Government, Elections,...	1269	article	2023-10-01T00:18:47+0000	In much of Europe, the election in Slovakia wa...
3	Police Chief Who Ordered Raid on Kansas Newspa...	U.S.	[Newspapers, Marion County Record (Newspaper),...	623	article	2023-10-01T00:47:45+0000	Gideon Cody, who orchestrated a widely critici...
4	Chris Snow, Hockey Executive Who Publicly Face...	Sports	[Snow, Chris, Deaths (Obituaries), Hockey, Ice...	729	article	2023-10-01T01:38:51+0000	The assistant general manager of the Calgary F...

	title	section	keywords	word_count	document_type	pub_date	snippet	url
0	In Private, Some Israeli Officers Admit That G...	World	[Israel-Gaza War (2023- ), Defense and Militar...	1447	article	2025-05-13T17:00:39Z	Israel’s government has publicly dismissed war...	https://www.nytimes.com/2025/05/13/world/middl...
1	Netanyahu Warns of ‘Intensive’ Escalation in G...	World	[Israel-Gaza War (2023- ), Defense and Militar...	1515	article	2025-05-05T10:11:26Z	Prime Minister Benjamin Netanyahu said that a ...	https://www.nytimes.com/2025/05/05/world/europ...
2	Israel Takes New Territory in Gaza, Squeezing ...	World	[Israel-Gaza War (2023- ), Hamas, United Natio...	845	article	2025-04-02T09:33:17Z	Prime Minister Benjamin Netanyahu said Israel ...	https://www.nytimes.com/2025/04/02/world/middl...
3	Gaza Truce Could End in Days, With No Extensio...	World	[International Relations, Israel-Gaza War (202...	1069	article	2025-02-24T11:03:23Z	Less than a week before it expires, Israel and...	https://www.nytimes.com/2025/02/24/world/middl...
4	Coffee, Juice, Shawarma: Tiny Traces of Normal...	World	[Israel-Gaza War (2023- ), Gaza Strip, Shortag...	1398	article	2024-11-18T10:15:57Z	Most people in the enclave are struggling just...	https://www.nytimes.com/2024/11/18/world/middl...

	uri	url	id	asset_id	source	published_date	updated	section	subsection	nytdsection	...	byline	type	title	abstract	des_facet	org_facet	per_facet	geo_facet	media
0	nyt://article/0887c3d2-2a0f-5118-a5bb-40499adf...	https://www.nytimes.com/2025/04/14/us/harvard-...	100000010109814	100000010109814	New York Times	2025-04-14	2025-04-25 00:04:48	U.S.		u.s.	...	By Vimal Patel	Article	Trump Administration Will Freeze $2 Billion Af...	Federal officials said they would freeze the m...	[United States Politics and Government, Presid...	[Harvard University]	[Trump, Donald J]	[]	[{'type': 'image', 'subtype': 'photo', 'captio...
1	nyt://article/b80fd4cf-eddb-5840-884c-6426f377...	https://www.nytimes.com/2025/05/08/opinion/tru...	100000010145026	100000010145026	New York Times	2025-05-08	2025-05-10 22:06:01	Opinion		opinion	...	By Steven Levitsky, Lucan Way and Daniel Ziblatt	Article	How Will We Know When We Have Lost Our Democracy?	And how exactly can we tell whether America ha...	[Authoritarianism (Theory and Philosophy), Dem...	[Republican Party]	[Trump, Donald J]	[]	[{'type': 'image', 'subtype': 'photo', 'captio...
2	nyt://article/6091f5e9-dc7d-542f-8889-affa52d8...	https://www.nytimes.com/2025/05/08/us/pope-leo...	100000010158620	100000010158620	New York Times	2025-05-08	2025-05-10 09:02:47	U.S.		u.s.	...	By Richard Fausset and Robert Chiarito	Article	New Pope Has Creole Roots in New Orleans	His ancestry, traced to a historic enclave of ...	[Popes, Genealogy, Black People, Race and Ethn...	[Roman Catholic Church]	[Gates, Henry Louis Jr, Leo XIV, Francis]	[New Orleans (La)]	[{'type': 'image', 'subtype': 'photo', 'captio...
3	nyt://article/db509d9b-d1dd-5753-be0a-9e09f170...	https://www.nytimes.com/2025/04/17/us/politics...	100000010116503	100000010116503	New York Times	2025-04-17	2025-05-01 02:19:31	U.S.	Politics	u.s.	...	By Annie Karni	Article	A Startling Admission From a G.O.P. Senator: ‘...	Lisa Murkowski, a longtime senator from Alaska...	[United States Politics and Government]	[Republican Party, Senate]	[Murkowski, Lisa, Trump, Donald J]	[Alaska, United States]	[{'type': 'image', 'subtype': 'photo', 'captio...
4	nyt://article/1d41dfc3-6337-5925-bc4d-9ce3ef94...	https://www.nytimes.com/2025/04/16/science/ast...	100000010111788	100000010111788	New York Times	2025-04-16	2025-04-18 21:37:23	Science		science	...	By Carl Zimmer	Article	Astronomers Detect a Possible Signature of Lif...	Further studies are needed to determine whethe...	[Extraterrestrial Life, Space and Astronomy, P...	[Cambridge University, Astrophysical Journal L...	[]	[]	[{'type': 'image', 'subtype': 'photo', 'captio...

	title	section	keywords	word_count	document_type	pub_date	snippet
0	Donald Trump Still Wants to Kill Obamacare. Why?	Opinion	[Patient Protection and Affordable Care Act (2...	880	article	2023-12-01T00:00:09+0000	Is this really about policy, or is it personal?
1	6 Former Jail Officers Charged in Death of Wes...	U.S.	[Prisons and Prisoners, Deaths (Fatalities), A...	673	article	2023-12-01T00:02:56+0000	Prosecutors said the former corrections office...
2	Israel Knew Hamas’s Attack Plan More Than a Ye...	World	[Israel-Gaza War (2023- ), Israel, Defense and...	1582	article	2023-12-01T00:16:08+0000	A blueprint reviewed by The Times laid out the...
3	Judge Halts TikTok Ban in Montana	Business Day	[TikTok (ByteDance), Beijing Bytedance Technol...	1030	article	2023-12-01T00:16:41+0000	TikTok, which is owned by the Chinese company ...
4	Kissinger Had the Ear of Presidents. He Had Th...	U.S.	[United States Politics and Government, Presid...	962	article	2023-12-01T00:27:49+0000	In his decades in politics, the statesman advi...

New York Times API Tutorial

Sommario

Preambolo

Introduzione

Configurazione ambiente

Accesso alle API

Creazione del profilo utente

Creazione dell'applicazione

Utilizzo delle API RESTful

Top Stories API

Most Popular API

Archive API

Article Search API

API New York Times Python: pynytimes

Estrazione dei dati e analisi

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Andamento delle notizie sul conflitto Israelo-Palestinese

Conclusioni

Referenze

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0	PGA Tour and Saudi-Backed LIV Extend Deadline ...	Business Day	[Golf, Mergers, Acquisitions and Divestitures,...	558	article	2024-01-01T00:25:32+0000	The tentative deal for the men’s golf circuits...
1	Something to Whistle	Crosswords & Games	[Crossword Puzzles, Games]	855	article	2024-01-01T00:32:06+0000	Harry Zheng makes his New York Times debut.
2	U.S. Helicopters Sink 3 Houthi Boats in Red Se...	World	[Israel-Gaza War (2023- ), Ships and Shipping,...	1218	article	2024-01-01T00:53:23+0000	Iranian-backed Houthi gunmen from Yemen had fi...
3	In Times Square, Hundreds of Thousands Ring In...	New York	[New Year, Demonstrations, Protests and Riots,...	608	article	2024-01-01T02:09:45+0000	New Year’s celebrations took place as proteste...
4	Quotation of the Day: In a Jewish-Arab School,...	Corrections	[]	36	article	2024-01-01T03:59:09+0000	Quotation of the Day for Monday, January 1, 2024.

	title	section	keywords	word_count	document_type	pub_date	snippet
0	What Happened at the Trump Trial on Tuesday	New York	[New York State Criminal Case Against Trump (7...	0	multimedia	2024-05-01T00:12:20+0000	Donald Trump was fined and warned of jail time...
1	Even Celebrities Don’t Know How to Ask Their F...	Style	[Semaglutide (Drug), Ozempic (Drug), Weight, S...	590	article	2024-05-01T00:16:54+0000	When Barbra Streisand posted a comment on soci...
2	Law Firm Defending Trump Seeks to Withdraw Fro...	U.S.	[Trump, Donald J, Legal Profession, Suits and ...	806	article	2024-05-01T01:05:49+0000	The firm, LaRocca Hornik, has represented Dona...
3	Transcript: Ezra Klein Interviews Hannah Ritchie	Podcasts	[Ritchie, Hannah (1993- )]	11083	article	2024-05-01T01:06:41+0000	The April 30, 2024, episode of “The Ezra Klein...
4	Albuquerque School’s Staff on Leave After Drag...	U.S.	[Education (K-12), Proms, Drag (Performance), ...	603	article	2024-05-01T01:06:48+0000	Albuquerque Public Schools in New Mexico also ...

	title	section	keywords	word_count	document_type	pub_date	snippet
0	‘Doctor Who’ Episode 5 Recap: Bursting the Bubble	Arts	[Television, YouTube.com, Doctor Who (TV Progr...	1069	article	2024-06-01T00:00:08+0000	The Doctor saves a rich wannabe vlogger from b...
1	Ohio Legislature Passes Bill Ensuring Biden’s ...	U.S.	[Presidential Election of 2024, State Legislat...	491	article	2024-06-01T00:15:09+0000	The bill, which Gov. Mike DeWine, a Republican...
2	Florida Deputy Who Fatally Shot Airman Is Fired	U.S.	[Police Brutality, Misconduct and Shootings, M...	542	article	2024-06-01T01:02:38+0000	The Okaloosa County Sheriff’s Office said that...
3	Trump and Allies Assail Conviction With Faulty...	U.S.	[Federal Criminal Case Against Trump (Document...	1769	article	2024-06-01T01:07:56+0000	After former President Donald J. Trump was fou...
4	How Trump’s Most Loyal Supporters Are Respondi...	U.S.	[Decisions and Verdicts, Conservatism (US Poli...	1267	article	2024-06-01T01:12:49+0000	Many saw in the jury’s finding a rejection of ...

	title	section	keywords	word_count	document_type	pub_date	snippet
0	Adams Confidant Steps Down Amid Federal Corrup...	New York	[Pearson, Timothy, Adams, Eric L, Eric Adams F...	939	article	2024-10-01T00:01:59+0000	Few people in city government were closer to M...
1	Newsom Tacks to the Middle With California in ...	U.S.	[United States Politics and Government, Presid...	1188	article	2024-10-01T00:21:58+0000	While Donald J. Trump has attacked California ...
2	Corrections: Oct. 1, 2024	Corrections	[]	180	article	2024-10-01T01:00:02+0000	Corrections that appeared in print on Tuesday,...
3	Robert Downey Jr. Is a Novelist With a Novel M...	Theater	[Theater, Theater (Broadway), Beaumont, Vivian...	897	article	2024-10-01T01:00:09+0000	The “Oppenheimer” star makes his Broadway debu...
4	Rancher Gets 6 Months in Prison for Scheme to ...	U.S.	[Wildlife Trade and Poaching, Kyrgyzstan, Mont...	661	article	2024-10-01T01:03:43+0000	Prosecutors said the Montanan illegally used t...

	title	section	keywords	word_count	document_type	pub_date	snippet
0	Dartmouth College Basketball Players Halt Effo...	U.S.	[Basketball (College), Dartmouth College, Orga...	685	article	2025-01-01T00:26:42+0000	The decision to withdraw the petition appeared...
1	‘He Saved Our Lives’: Former Hostages Recall C...	U.S.	[Carter, Jimmy, Kidnapping and Hostages, Iran,...	1806	article	2025-01-01T00:44:39+0000	The Iran hostage crisis became a symbol of a f...
2	Corrections: Jan. 1, 2025	Corrections	[]	279	article	2025-01-01T02:30:02+0000	Corrections that appeared in print on Wednesda...
3	A Certain Tankful	Crosswords & Games	[Crossword Puzzles, Games]	1033	article	2025-01-01T03:00:02+0000	Seth Bisen-Hersh and Jeff Chen take it from th...
4	China’s Leader Nods to Economic Challenges	Business Day	[Economic Conditions and Trends, China, Gross ...	448	article	2025-01-01T03:40:13+0000	In a New Year’s address, Xi Jinping made a rar...

	title	section	keywords	word_count	document_type	pub_date	snippet
0	A Day of American Infamy	Opinion	[United States International Relations, Russia...	923	article	2025-03-01T00:00:33+0000	A dreadful moment for Ukraine, for the free wo...
1	Behind the Collision: Trump Jettisons Ukraine ...	U.S.	[United States Politics and Government, United...	1400	article	2025-03-01T00:15:42+0000	The president’s explosive Oval Office encounte...
2	Despite Efforts to Save It, a Beloved Pink Hou...	U.S.	[Demolition, Historic Buildings and Sites, Wil...	629	article	2025-03-01T00:17:47+0000	Gov. Maura Healey, lamenting the decision, cal...
3	Europe Rallies Around Zelensky After Explosive...	U.S.	[Russian Invasion of Ukraine (2022), United St...	816	article	2025-03-01T00:18:14+0000	The statements piled up on social media, offer...
4	Putin Is Ready to Carve Up the World. Trump Ju...	Opinion	[Russian Invasion of Ukraine (2022), United St...	1378	article	2025-03-01T00:36:22+0000	The talks about Ukraine were never just about ...