# Global News Monitor — GDELT, 65+ Languages (`alaudinburki/global-news-monitor`) Actor

Worldwide news coverage for any brand or topic via GDELT's free index — headline, outlet, country and language, plus a coverage summary showing where the coverage actually concentrates. Paces itself to GDELT's rate limit. No API key.

- **URL**: https://apify.com/alaudinburki/global-news-monitor.md
- **Developed by:** [alaudin burki](https://apify.com/alaudinburki) (community)
- **Categories:** News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Global News Monitor — GDELT, 65+ Languages

Brand and PR monitoring is a well-established paid category (Meltwater,
Cision). GDELT indexes worldwide news coverage in 65+ languages and
exposes it free and keyless — the honest free alternative for
headline-level coverage tracking.

### Two output modes

- **`articles`** (default) — one row per news article: headline, outlet,
  country, language, timestamp.
- **`summary`** — one row per query: how much coverage, and **where it
  concentrates** (top outlets, top countries, languages). Often the more
  useful answer than 200 headlines to read.

### Input

```json
{ "queries": ["Tesla", "Rivian"], "timespan": "7d" }
```

One query per line — a phrase may contain a comma. Optional
`sourceCountry` and `language` narrow the search.

### Sample output (`articles` mode)

```json
{
  "matchedQuery": "Tesla",
  "title": "테슬라, 中 FSD 데이터센터 폐쇄설 부인",
  "url": "https://zdnet.co.kr/view/?no=20260827113219",
  "domain": "zdnet.co.kr",
  "language": "Korean",
  "sourceCountry": "South Korea",
  "seenAt": "2026-08-27T03:15:00Z"
}
```

### Typical uses

- **Brand / PR monitoring** — track coverage volume and which outlets and
  countries are actually carrying the story.
- **Competitive intelligence** — compare share of coverage between your
  brand and a competitor over the same window.
- **International coverage tracking** — GDELT's real strength: coverage in
  languages and markets an English-only tool never surfaces.

### Pricing

**$0.002 per row.**

### ⚠️ Read before you act — the rate limit is real

- **GDELT allows one request every 5 seconds**, and answers with a
  plain-text notice (not JSON) when exceeded — verified live, repeatedly.
  This actor **paces itself** to that limit: a 10-query run deliberately
  takes ~50 seconds. That's by design, not a stall.
- **Exceeding the limit can trigger an extended cooldown**, not just a
  5-second one — observed live during development. If you see
  `rate_limited` in the problems report, space your runs further apart
  rather than retrying immediately.
- **Coverage is headline-level** — title, outlet, country, language, URL.
  GDELT does not provide full article text through this endpoint.
- **`timespan` covers GDELT's rolling index** (roughly the last few
  months), not the full historical archive.

### FAQ

- **Do I need an API key?** No — GDELT's DOC API is free and keyless.
- **Why is my run slow?** Deliberate pacing to GDELT's 5-second limit —
  see above. Fewer queries per run finish faster.
- **Why non-English results?** That's the point — GDELT indexes 65+
  languages. Use the `language` input to restrict if you want English only.

### Related actors

- **Google News Scraper** — English-focused, faster, no rate-limit pacing;
  use it when you don't need GDELT's multilingual global reach.
- **AI Brand Visibility Tracker** — how AI assistants describe your brand,
  the complement to how news outlets cover it.

# Actor input Schema

## `queries` (type: `array`):

Brands, companies or topics to track. One per line — a phrase may contain a comma.

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

How far back to search, using GDELT's format: e.g. 24h, 7d, 1w, 1m. Maximum is roughly 3 months of the rolling index.

## `outputMode` (type: `string`):

'articles' returns one row per news article. 'summary' returns one row per query with coverage totals and top outlets/countries instead.

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

Restrict to outlets in one country, using GDELT's country code (e.g. US, UK, IN).

## `language` (type: `string`):

Restrict to one source language, e.g. english, spanish, french.

## `maxRecordsPerQuery` (type: `integer`):

How many articles to pull per query (GDELT's own maximum is 250).

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

Hard cap on items returned. You are never charged beyond this.

## Actor input object example

```json
{
  "queries": [
    "Tesla"
  ],
  "timespan": "7d",
  "outputMode": "articles",
  "maxRecordsPerQuery": 50,
  "maxItems": 1000
}
```

# Actor output Schema

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

One row per article, or per query in summary mode.

## `qualityReport` (type: `string`):

Queries checked, per-query coverage summaries, and problems.

# 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 = {
    "queries": [
        "Tesla"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("alaudinburki/global-news-monitor").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 = { "queries": ["Tesla"] }

# Run the Actor and wait for it to finish
run = client.actor("alaudinburki/global-news-monitor").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "queries": [
    "Tesla"
  ]
}' |
apify call alaudinburki/global-news-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,alaudinburki/global-news-monitor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/BxfpL8zUGAEZINuhH/builds/omIqe5yv64hPl6Xpq/openapi.json