# GDELT Worldwide News Scraper (`dami_studio/gdelt-news-scraper`) Actor

Search worldwide news with the public GDELT 2.0 DOC API — no API key, no login. Filter by timespan, source country, and language; sort by newest or relevance. Returns clean articles with title, URL, domain, country, language, publish date, and image.

- **URL**: https://apify.com/dami\_studio/gdelt-news-scraper.md
- **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community)
- **Categories:** News, AI, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 article returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## GDELT Worldwide News Scraper

Search worldwide news through the [GDELT 2.0 DOC API](https://blog.gdeltproject.org/gdelt-doc-2-0-api-debuts/) — a public, no-key, no-login JSON endpoint that indexes online news from across the planet in 65+ languages. No proxy or anti-bot handling needed.

### What it does

Given a search query, the actor calls the GDELT DOC API in `ArtList` mode and returns clean, structured articles. You can filter by recency, source country, and source language, and sort by newest, oldest, or relevance.

### Input

| Field | Type | Default | Notes |
|---|---|---|---|
| `query` | string | — (required) | Keywords. Quote phrases: `"climate change"`. Very short/common single words may be rejected by GDELT. |
| `maxItems` | integer | `100` | Capped at **250** — GDELT returns at most 250 articles per request. |
| `sort` | string | `DateDesc` | `DateDesc` (newest), `DateAsc` (oldest), `HybridRel` (relevance). |
| `timespan` | string | — | Recency window, e.g. `1d`, `3d`, `1w`, `1m`, `3m`. GDELT covers ~the last 3 months. |
| `sourceCountry` | string | — | Appended as `sourcecountry:{code}` (e.g. `US`, `UK`, `FR`). |
| `sourceLang` | string | — | Appended as `sourcelang:{code}` (e.g. `english`, `french`). |
| `proxyConfiguration` | object | — | Optional; not needed (public API). |

### Output

Each successful row:

```json
{
  "ok": true,
  "title": "…",
  "url": "https://…",
  "domain": "example.com",
  "sourceCountry": "United States",
  "language": "English",
  "publishedAt": "2026-06-11T12:00:00.000Z",
  "socialImage": "https://…"
}
````

Results are de-duplicated by URL. Each `ok:true` article is billed one `article` charge unit. Diagnostic rows (`ok:false`) and empty/blocked runs are never charged.

**Nullable fields:** GDELT does not always populate every field. Any of `title`, `url`, `domain`, `sourceCountry`, `language`, `publishedAt`, and `socialImage` can be `null` for a given article (e.g. `socialImage` is often missing, and `publishedAt` is `null` when GDELT's `seendate` is unparseable). Rows with neither a `url` nor a `title` are dropped before charging.

### Diagnostics

The actor never fails silently. Instead it writes a single diagnostic row (`ok:false`) with an `errorCode` and never charges for it:

- `BAD_INPUT` — GDELT rejected the query (e.g. "query too short"). Quote phrases and avoid overly short/common terms.
- `NO_RESULTS` — the query was valid but matched nothing. Broaden it or widen the timespan.
- `RATE_LIMITED` / `SERVER_ERROR` / `NETWORK` — transient issues; the actor retried with backoff first.

### Notes / quirks

- GDELT requires the query to be URL-encoded and phrases to be quoted — the actor handles both.
- On a malformed query GDELT may return a `text/plain` error string (sometimes with HTTP 200) or an empty body instead of JSON. The actor guards `JSON.parse` and surfaces a clear `BAD_INPUT` diagnostic.
- GDELT's index covers roughly the last 3 months of news.
- The actor rotates a real browser **User-Agent** per request attempt for retry resilience, and supports an **optional proxy** (`proxyConfiguration`). Neither is required — GDELT is a public no-key API with no anti-bot — so leave the proxy unset unless you hit IP-level rate limits.

# Actor input Schema

## `query` (type: `string`):

Keywords to search worldwide news for. Wrap phrases in quotes (e.g. "climate change"). Combine with OR, or operators like domain:reuters.com. Very short or very common single words may be rejected by GDELT — add a second word or quote a phrase.

## `maxItems` (type: `integer`):

Maximum number of articles to return. GDELT hard-caps a single request at 250 — higher values are automatically capped at 250.

## `sort` (type: `string`):

How to order results: DateDesc (newest first), DateAsc (oldest first), or HybridRel (by relevance to the query).

## `timespan` (type: `string`):

Only return articles from the last N units of time, e.g. 1d, 3d, 1w, 1m, 3m. Leave empty for GDELT's default window. GDELT only covers roughly the last 3 months.

## `sourceCountry` (type: `string`):

Limit to articles from a given source country, appended to the query as sourcecountry:{code}. Use GDELT country codes (e.g. US, UK, FR, DE, IN). Leave empty for all countries.

## `sourceLang` (type: `string`):

Limit to articles in a given language, appended to the query as sourcelang:{code} (e.g. english, french, spanish, german). Leave empty for all languages.

## `notionConnector` (type: `string`):

Optional. Write each article as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.

## `notionParentId` (type: `string`):

Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.

## `proxyConfiguration` (type: `object`):

Optional proxy for the GDELT requests. GDELT is a public no-key API with no anti-bot, so a proxy is not needed in most cases. Leave unset to connect directly.

## Actor input object example

```json
{
  "query": "artificial intelligence",
  "maxItems": 100,
  "sort": "DateDesc",
  "timespan": "",
  "sourceCountry": "",
  "sourceLang": ""
}
```

# Actor output Schema

## `results` (type: `string`):

Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "artificial intelligence"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dami_studio/gdelt-news-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "query": "artificial intelligence" }

# Run the Actor and wait for it to finish
run = client.actor("dami_studio/gdelt-news-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "artificial intelligence"
}' |
apify call dami_studio/gdelt-news-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dami_studio/gdelt-news-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "GDELT Worldwide News Scraper",
        "description": "Search worldwide news with the public GDELT 2.0 DOC API — no API key, no login. Filter by timespan, source country, and language; sort by newest or relevance. Returns clean articles with title, URL, domain, country, language, publish date, and image.",
        "version": "0.1",
        "x-build-id": "DNaSPv7t92bHRsF30"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/dami_studio~gdelt-news-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-dami_studio-gdelt-news-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/dami_studio~gdelt-news-scraper/runs": {
            "post": {
                "operationId": "runs-sync-dami_studio-gdelt-news-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/dami_studio~gdelt-news-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-dami_studio-gdelt-news-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "query": {
                        "title": "Search query",
                        "type": "string",
                        "description": "Keywords to search worldwide news for. Wrap phrases in quotes (e.g. \"climate change\"). Combine with OR, or operators like domain:reuters.com. Very short or very common single words may be rejected by GDELT — add a second word or quote a phrase."
                    },
                    "maxItems": {
                        "title": "Max articles",
                        "minimum": 1,
                        "maximum": 250,
                        "type": "integer",
                        "description": "Maximum number of articles to return. GDELT hard-caps a single request at 250 — higher values are automatically capped at 250.",
                        "default": 100
                    },
                    "sort": {
                        "title": "Sort order",
                        "enum": [
                            "DateDesc",
                            "DateAsc",
                            "HybridRel"
                        ],
                        "type": "string",
                        "description": "How to order results: DateDesc (newest first), DateAsc (oldest first), or HybridRel (by relevance to the query).",
                        "default": "DateDesc"
                    },
                    "timespan": {
                        "title": "Timespan",
                        "type": "string",
                        "description": "Only return articles from the last N units of time, e.g. 1d, 3d, 1w, 1m, 3m. Leave empty for GDELT's default window. GDELT only covers roughly the last 3 months.",
                        "default": ""
                    },
                    "sourceCountry": {
                        "title": "Source country",
                        "type": "string",
                        "description": "Limit to articles from a given source country, appended to the query as sourcecountry:{code}. Use GDELT country codes (e.g. US, UK, FR, DE, IN). Leave empty for all countries.",
                        "default": ""
                    },
                    "sourceLang": {
                        "title": "Source language",
                        "type": "string",
                        "description": "Limit to articles in a given language, appended to the query as sourcelang:{code} (e.g. english, french, spanish, german). Leave empty for all languages.",
                        "default": ""
                    },
                    "notionConnector": {
                        "title": "Notion connector (optional)",
                        "type": "string",
                        "description": "Optional. Write each article as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless."
                    },
                    "notionParentId": {
                        "title": "Notion target data source ID",
                        "type": "string",
                        "description": "Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead."
                    },
                    "proxyConfiguration": {
                        "title": "Proxy (optional)",
                        "type": "object",
                        "description": "Optional proxy for the GDELT requests. GDELT is a public no-key API with no anti-bot, so a proxy is not needed in most cases. Leave unset to connect directly."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```