# GDELT Global News Monitoring Scraper (`scrapers_lat/gdelt-news-events-scraper`) Actor
Monitor worldwide news coverage by keyword, country and language. Scrape matching articles with title, link, source domain, source country, language, publish time and lead image. Great for brand and PR monitoring, media research and geo signals. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/gdelt-news-events-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** News, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $6.80 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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 Global News Monitoring Scraper
> Monitor worldwide news coverage by keyword, country and language. Pull matching articles with title, link, source outlet, source country, language, publish time and lead image, and export clean structured data for brand monitoring, PR, market and geo signals.
**๐ฅ [Input](https://apify.com/scrapers_lat/gdelt-news-events-scraper/input-schema) ยท ๐ค [Output](https://apify.com/scrapers_lat/gdelt-news-events-scraper/output-schema) ยท ๐ฐ [Pricing](https://apify.com/scrapers_lat/gdelt-news-events-scraper/pricing) ยท โถ๏ธ [Examples](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples)**
Worldwide coverage by keyword
Country & language filters
JSON / CSV / Excel output formats
### What you get
Each record is one news article that matched your query, ready for a monitoring dashboard, an alert or a spreadsheet:
- **title**: the article headline
- **url** and **urlMobile**: direct links to the article
- **domain**: the source outlet's website
- **sourceCountry**: the country the outlet is based in
- **language**: the language the article is written in
- **seenDate**: when the article was first seen, as an ISO 8601 UTC timestamp
- **socialImage**: the article's lead or social preview image, when available
- **source** and **observedAt**: provenance and freshness of the record
### Who is it for
| Use case | Who benefits |
|---|---|
| Brand and reputation monitoring | PR and comms teams tracking coverage of a company or person |
| Market and geo signals | Analysts watching how a topic, country or sector is reported |
| Media research | Journalists and researchers mapping worldwide coverage of an event |
| Alerts and dashboards | Builders feeding a live news stream into their own apps |
### How to use it
1. Enter a **search keyword** or phrase to monitor (wrap a phrase in double quotes to match it exactly).
2. Optionally narrow by **source country** and **source language**, and set a **time span** (for example `3d` or `12h`).
3. Choose a **sort** order, set **Max Items** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**How far back can I search?**
Use the time span field with a number and a unit, for example `3d` for three days, `12h` for twelve hours or `1w` for one week. The window always ends at the moment of the run.
**Can I focus on one country or one language?**
Yes. Add a source country (for example `US`, `UK`, `Brazil`) and a source language (for example `english`, `spanish`, `portuguese`) to keep only matching outlets.
**How many articles can one run return?**
Up to 250 articles per run for a given query and time window. Narrow the time span or the keyword to keep the most relevant coverage at the top.
**How fresh is the data?**
Articles are read live at run time, so each record reflects coverage available at the moment of the run (see observedAt).
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Global news monitoring: artificial intelligence](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-artificial-intelligence): Monitor worldwide news about artificial intelligence with title, source, country, language and date from thousands of outlets.
- [Global news monitoring: climate change](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-climate-change): Monitor worldwide news about climate change with title, source, country, language and date from thousands of outlets.
- [Global news monitoring: elections](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-elections): Monitor worldwide news about elections with title, source, country, language and date from thousands of outlets.
- [Global news monitoring: cryptocurrency](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-cryptocurrency): Monitor worldwide news about cryptocurrency with title, source, country, language and date from thousands of outlets.
- [Global news monitoring: oil prices](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-oil-prices): Monitor worldwide news about oil prices with title, source, country, language and date from thousands of outlets.
- [Global news monitoring: electric vehicles](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-electric-vehicles): Monitor worldwide news about electric vehicles with title, source, country, language and date from thousands of outlets.
- [Global news monitoring: inflation](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-inflation): Monitor worldwide news about inflation with title, source, country, language and date from thousands of outlets.
- [Global news monitoring: cybersecurity](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-cybersecurity): Monitor worldwide news about cybersecurity with title, source, country, language and date from thousands of outlets.
- [Global news monitoring: space exploration](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-space-exploration): Monitor worldwide news about space exploration with title, source, country, language and date from thousands of outlets.
- [Global news monitoring: renewable energy](https://apify.com/scrapers_lat/gdelt-news-events-scraper/examples/gdelt-news-renewable-energy): Monitor worldwide news about renewable energy with title, source, country, language and date from thousands of outlets.
### Related scrapers
- [Google News Scraper](https://apify.com/scrapers_lat/google-news-scraper)
- [Hacker News Scraper](https://apify.com/scrapers_lat/hacker-news-scraper)
- [Yahoo Finance Scraper](https://apify.com/scrapers_lat/yahoo-finance-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with GDELT. It only accesses publicly available news data. Use the results in accordance with the source's terms.
# Actor input Schema
## `query` (type: `string`):
Keyword or phrase to monitor across worldwide news (for example 'artificial intelligence', 'Tesla recall', an executive or brand name). Wrap a phrase in double quotes to match it exactly.
## `country` (type: `string`):
Optional. Keep only articles from outlets in one country. Use a GDELT country name or code, for example 'US', 'UK', 'France', 'Brazil'.
## `language` (type: `string`):
Optional. Keep only articles written in one language, for example 'english', 'spanish', 'portuguese', 'chinese'.
## `timespan` (type: `string`):
How far back to look, ending now. Use a number plus a unit: 'min', 'h', 'd', 'w', 'm' (for example '3d' for 3 days, '12h' for 12 hours, '1w' for 1 week).
## `sort` (type: `string`):
Order the articles: newest first, oldest first, most positive or negative tone, or by relevance.
## `maxItems` (type: `integer`):
Maximum number of articles to collect (up to 250 per run).
## Actor input object example
```json
{
"query": "artificial intelligence",
"timespan": "3d",
"sort": "DateDesc",
"maxItems": 30
}
````
# Actor output Schema
## `results` (type: `string`):
No description
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": "artificial intelligence",
"timespan": "3d",
"maxItems": 30
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/gdelt-news-events-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"query": "artificial intelligence",
"timespan": "3d",
"maxItems": 30,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/gdelt-news-events-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"query": "artificial intelligence",
"timespan": "3d",
"maxItems": 30
}' |
apify call scrapers_lat/gdelt-news-events-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/gdelt-news-events-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "GDELT Global News Monitoring Scraper",
"description": "Monitor worldwide news coverage by keyword, country and language. Scrape matching articles with title, link, source domain, source country, language, publish time and lead image. Great for brand and PR monitoring, media research and geo signals. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "Q6j2tDuJGEfB0OcuS"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~gdelt-news-events-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-gdelt-news-events-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~gdelt-news-events-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-gdelt-news-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~gdelt-news-events-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-gdelt-news-events-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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 keyword",
"type": "string",
"description": "Keyword or phrase to monitor across worldwide news (for example 'artificial intelligence', 'Tesla recall', an executive or brand name). Wrap a phrase in double quotes to match it exactly."
},
"country": {
"title": "Source country",
"type": "string",
"description": "Optional. Keep only articles from outlets in one country. Use a GDELT country name or code, for example 'US', 'UK', 'France', 'Brazil'."
},
"language": {
"title": "Source language",
"type": "string",
"description": "Optional. Keep only articles written in one language, for example 'english', 'spanish', 'portuguese', 'chinese'."
},
"timespan": {
"title": "Time span",
"type": "string",
"description": "How far back to look, ending now. Use a number plus a unit: 'min', 'h', 'd', 'w', 'm' (for example '3d' for 3 days, '12h' for 12 hours, '1w' for 1 week)."
},
"sort": {
"title": "Sort by",
"enum": [
"DateDesc",
"DateAsc",
"ToneDesc",
"ToneAsc",
"HybridRel"
],
"type": "string",
"description": "Order the articles: newest first, oldest first, most positive or negative tone, or by relevance.",
"default": "DateDesc"
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 250,
"type": "integer",
"description": "Maximum number of articles to collect (up to 250 per run)."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```