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Philippines World News API

Get the live top world headlines from Philippines with our JSON API.

Get API key for the Philippines World News API

API Demonstration

This example demonstrates the HTTP request to make and the JSON response you will receive when you use the news api to get the top headlines from Philippines.

GET
https://gnews.io/api/v4/top-headlines?country=ph&category=world&apikey=API_KEY
{
    "totalArticles": 110740,
    "articles": [
        {
            "id": "a9fb05c23a4b34f64fb9007fabd04ef2",
            "title": "Thailand and Cambodia agree to restart ceasefire brokered by US, says Trump",
            "description": "After deadly clashes between the two countries, the president announces renewal of peace deal made in July",
            "content": "Donald Trump has said that Thai and Cambodian leaders agreed to renew a truce after days of deadly clashes had threatened to undo a ceasefire the US administration had helped broker earlier this year.\nTrump announced the agreement to restart the ceas... [1888 chars]",
            "url": "https://www.theguardian.com/world/2025/dec/12/thailand-and-cambodia-agree-to-restart-ceasefire-brokered-by-us-says-trump",
            "image": "https://i.guim.co.uk/img/media/bea6b827b6b484de12267b0df08048f4d2fb1ea0/3282_1162_2205_1764/master/2205.jpg?width=1200&height=630&quality=85&auto=format&fit=crop&precrop=40:21,offset-x50,offset-y0&overlay-align=bottom%2Cleft&overlay-width=100p&overlay-base64=L2ltZy9zdGF0aWMvb3ZlcmxheXMvdGctZGVmYXVsdC5wbmc&enable=upscale&s=1187d8ce96b6a475791e99a114e7eb11",
            "publishedAt": "2025-12-12T19:02:00Z",
            "lang": "en",
            "source": {
                "id": "558a003a7a0164e924408edec7e99f99",
                "name": "The Guardian",
                "url": "https://www.theguardian.com"
            }
        },
        {
            "id": "ee966135ab35f4de488ef44373e64331",
            "title": "Trump says Thailand, Cambodia agree to renew ceasefire after deadly clashes",
            "description": "Neither side has independently confirmed agreement, which comes amid five-day flare-up of cross-border fighting.",
            "content": "Thailand and Cambodia have agreed “to cease all shooting” effective Friday, according to United States President Donald Trump.\nTrump announced the agreement to restart the ceasefire in a social media post following calls with Thai Prime Minister Anut... [2018 chars]",
            "url": "https://www.aljazeera.com/news/2025/12/12/trump-says-thailand-cambodia-agree-to-renew-ceasefire-after-deadly-clashes",
            "image": "https://www.aljazeera.com/wp-content/uploads/2025/12/reuters_693c599e-1765562782.jpg?resize=1920%2C1440",
            "publishedAt": "2025-12-12T18:03:03Z",
            "lang": "en",
            "source": {
                "id": "7530d90c9af769eda4cb548f32ed381d",
                "name": "Al Jazeera",
                "url": "https://www.aljazeera.com"
            }
        },
        {
            "id": "87774b8372a2ac27b88dd120e92c3ff1",
            "title": "Geospatial Assessment of Flood Susceptibility in the Nong Peung Wetland, Central Laos",
            "description": "Inundation events within the Nong Peung wetland of Pakxan district, Laos, represent a growing environmental and societal challenge, a threat compounded by the interplay of accelerated land use transformations, ongoing deforestation, and the broader impacts of climate change. This study presents the first systematic, geospatial assessment of flood susceptibility for this critical region, filling a significant void in local hazard analysis. We applied an integrated model utilizing a Geographic Information System (GIS) coupled with a Multi-Criteria Decision-Making (MCDM) approach, using the Analytical Hierarchy Process (AHP) for the systematic weighting of causative factors. The analysis incorporated nine determinative variables: elevation, slope, annual rainfall, proximity to river channels, drainage density, Topographic Wetness Index (TWI), land use/land cover, soil composition, and the Normalized Difference Vegetation Index (NDVI). The resultant susceptibility model stratifies the landscape into five classes, identifying 13.80% of the area as “very high risk” and 20.06% as “high risk.” Cumulatively, our model indicates that more than half (61.42%) of the wetland exhibits moderate to very high susceptibility to flooding. Areas of acute risk are concentrated in the northern and southern portions of the wetland, a spatial pattern directly attributable to a convergence of low elevation, gentle slopes, concentrated rainfall, high drainage density, and predominant agricultural land use. Validation against historical flood records confirms a strong predictive agreement, substantiating the reliability of the AHP-GIS framework for this application. The high-resolution susceptibility map produced by this research offers a foundational, evidence-based tool for enhancing disaster risk reduction strategies and guiding sustainable development in the Pakxan district.",
            "content": "1. Introduction\nNatural hazards, particularly floods, represent one of the most serious global concerns confronting nations today [1]-[3]. Recognized worldwide as the most prevalent and destructive natural catastrophes [4] [5], floods are responsible... [33419 chars]",
            "url": "https://www.scirp.org/journal/paperinformation?paperid=147954",
            "image": "https://file.scirp.org/image/ars2024061316455967.jpg",
            "publishedAt": "2025-12-12T07:59:42Z",
            "lang": "en",
            "source": {
                "id": "48f641eab3fd1aa330e8db4cb1cfe74e",
                "name": "SCIRP Open Access",
                "url": "https://www.scirp.org"
            }
        }
    ]
}

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