# Google News Scraper - Low-cost๐ฒ๐ฅ๐ฐ๐ค (`delectable_incubator/google-news-scraper-low-cost`) Actor
Scrape Google News articles ๐ฐ๐ with a powerful news intelligence scraper. Extract titles, sources, publication times, images, snippets & direct article URLs from keyword-based searches. Ideal for media monitoring, trend analysis, SEO tracking, competitive intelligence & real-time news insights ๐
- **URL**: https://apify.com/delectable\_incubator/google-news-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** News, SEO tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.00005 / actor start
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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
---
## ๐ฐ๐ Google News Scraper | Bulk News Search Scraper | Apify Actor
### ๐ Extract Google News Articles in Seconds (No Code)
The **Google News Scraper (Apify Actor)** is a powerful, scalable and **SEO-optimized news extraction tool** designed to collect real-time news articles directly from Google News.
It allows you to **scrape Google News results in bulk**, extract structured article data, monitor breaking news, track trends, perform media intelligence, and build datasets for **market research, sentiment analysis, journalism, AI training, and competitive monitoring**.
---
### ๐ฅ Why This Google News Scraper?
โ Best Google News Scraper on Apify
โ Supports bulk keyword searches (multi-query mode)
โ Real-time Google News extraction
โ Fast & scalable news collection
โ 100% structured JSON / CSV / Excel output
โ Ideal for media monitoring and trend analysis
โ No coding required
---
### ๐ฏ What This Scraper Does (Google News Data Extraction)
This Apify Actor extracts **live news results directly from Google News search pages**.
#### ๐ Core Features
โ
Scrape Google News articles
โ
Bulk keyword scraping support (SEO BOOST ๐)
โ
Country targeting support
โ
Language targeting support
โ
Time filtering (hour, day, month, year)
โ
Extract article title
โ
Extract article description
โ
Extract source name
โ
Extract publication date
โ
Extract article URL
โ
Extract article images
โ
Clean structured dataset output
โ
High-speed extraction engine
---
### โก Input Configuration (Simple & Powerful)
#### ๐ฅ BULK KEYWORD MODE (SEO BOOST ๐)
````
{
"keywords": \[
"Artificial Intelligence",
"Bitcoin",
"Tesla",
"Climate Change",
"United States Elections"
],
"country": "US",
"language": "English",
"time\_filter": "Recent",
"max\_items": 100
}
```
---
### ๐ Extracted News Data (Structured Output)
| Field | Description |
| -------------- | ------------------------- |
| Id | Article identifier |
| Title | News article title |
| Description | News article summary |
| Source Name | Publisher source |
| Published_time | Relative publication date |
| Date | Publication timestamp |
| Link | Article URL |
| Image | Article image |
---
### ๐ก Use Cases (High Demand SEO Keywords)
๐ฐ News scraping
๐ Media monitoring
๐ News analytics
๐ Trend tracking
๐ค AI training datasets
๐น Financial news monitoring
๐ข Competitive intelligence
๐ก Real-time news alerts
๐ Keyword-based news research
โก Bulk news extraction
---
### ๐ Key Features (Apify SEO Optimized)
โก Bulk keyword scraping support
๐ Worldwide news coverage
๐ Smart pagination system
๐ง Clean structured output
๐ High-speed extraction engine
๐ Auto retry & stability system
๐พ Export-ready datasets
โ๏ธ Scalable cloud execution (Apify Actor)
---
### ๐ค Output Formats Supported
โ JSON (structured API ready)
โ CSV (Excel analysis)
โ Excel XLSX (business reports)
โ XML (data pipelines)
โ HTML (dashboards)
---
### ๐ฆ Example Output
```
{
"Id": 1,
"Title": "Department of War Name Set in Bronze at Pentagon Entrances",
"Description": "Facilities personnel at the Pentagon took down outdated bronze plaques at two of the building's entrances and replaced them with recently minted plaques.",
"Source Name": "U.S. Department of War",
"Published\_time": "3 days ago",
"Date": "2025-11-14 15:29:39",
"Link": "https://example.com/article",
"Image": "base64\_image\_data"
}
````
---
### ๐ฅ Why This is the BEST Google News Scraper on Apify?
โ Optimized for Apify search ranking
โ High-performance news extraction engine
โ Bulk keyword support (rare feature)
โ Real-time Google News monitoring
โ Enterprise-ready scalability
โ Perfect for SEO traffic & marketplace visibility
---
### ๐ธ Pricing
This scraper runs on a **pay-per-result pricing model**.
You only pay for successfully extracted records.
๐ณ **Price:** $2.39 / 1,000 results
---
### โ FAQ (SEO BOOST SECTION)
#### Can I scrape multiple keywords at once?
Yes โ bulk keyword mode is fully supported.
#### Can I filter by country?
Yes โ country targeting is supported.
#### Can I filter by language?
Yes โ language targeting is supported.
#### Can I scrape breaking news?
Yes โ recent and real-time news filtering is available.
#### Is coding required?
No โ 100% no-code Apify Actor.
#### Can I export data?
Yes โ JSON, CSV, Excel, XML and HTML are supported.
---
### โ ๏ธ Disclaimer
This tool is not affiliated with Google News or Google.
It is an independent data extraction solution.
---
### ๐ Related Actors (News Intelligence Ecosystem)
We are building a full **PrimeScrape News Intelligence Suite**.
๐ Coming Soon ๐
---
### ๐ PrimeScrape Ecosystem
Built for **data scraping, automation, AI training datasets, and market intelligence at scale**.
๐ฐ News intelligence
๐ Media monitoring
๐ข Company intelligence
๐ Market analytics
๐ค AI datasets
โ๏ธ Automation pipelines
---
### ๐ฌ Support
โญโญโญโญโญ Leave a review if you like this scraper
๐ฉ Contact us for custom scraping solutions and enterprise requests
๐ PrimeScrape
# Actor input Schema
## `keywords` (type: `array`):
List of keywords to search on Google News. Each keyword is searched separately and results are combined.
## `time_filter` (type: `string`):
Time range to search within. Wider range = more articles available.
## `language` (type: `string`):
Language of the news results
## `country` (type: `string`):
Filter results by country edition of Google News
## `maxitems` (type: `integer`):
Max articles per keyword.
## Actor input object example
```json
{
"keywords": [
"Technology",
"AI"
],
"time_filter": "Recent ๐ฅ",
"language": "English",
"country": "Any ๐",
"maxitems": 100
}
````
# 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 = {
"keywords": [
"Technology",
"AI"
],
"time_filter": "Recent ๐ฅ",
"language": "English",
"country": "Any ๐",
"maxitems": 100
};
// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/google-news-scraper-low-cost").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 = {
"keywords": [
"Technology",
"AI",
],
"time_filter": "Recent ๐ฅ",
"language": "English",
"country": "Any ๐",
"maxitems": 100,
}
# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/google-news-scraper-low-cost").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 '{
"keywords": [
"Technology",
"AI"
],
"time_filter": "Recent ๐ฅ",
"language": "English",
"country": "Any ๐",
"maxitems": 100
}' |
apify call delectable_incubator/google-news-scraper-low-cost --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=delectable_incubator/google-news-scraper-low-cost",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google News Scraper - Low-cost๐ฒ๐ฅ๐ฐ๐ค",
"description": "Scrape Google News articles ๐ฐ๐ with a powerful news intelligence scraper. Extract titles, sources, publication times, images, snippets & direct article URLs from keyword-based searches. Ideal for media monitoring, trend analysis, SEO tracking, competitive intelligence & real-time news insights ๐",
"version": "0.0",
"x-build-id": "kXCxNR5S8qPHLr3bW"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/delectable_incubator~google-news-scraper-low-cost/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-delectable_incubator-google-news-scraper-low-cost",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/delectable_incubator~google-news-scraper-low-cost/runs": {
"post": {
"operationId": "runs-sync-delectable_incubator-google-news-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/delectable_incubator~google-news-scraper-low-cost/run-sync": {
"post": {
"operationId": "run-sync-delectable_incubator-google-news-scraper-low-cost",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"keywords"
],
"properties": {
"keywords": {
"title": "Keywords (Bulk) ๐๐ฐ",
"type": "array",
"description": "List of keywords to search on Google News. Each keyword is searched separately and results are combined.",
"default": [
"Technology",
"AI"
],
"items": {
"type": "string"
}
},
"time_filter": {
"title": "Time filter โณ",
"enum": [
"Recent ๐ฅ",
"Less than an hour โณ",
"Less than a day ๐
",
"Less than a week ๐
",
"Less than a month ๐๏ธ",
"Less than a year ๐"
],
"type": "string",
"description": "Time range to search within. Wider range = more articles available.",
"default": "Recent ๐ฅ"
},
"language": {
"title": "Language ๐",
"enum": [
"English",
"French",
"Spanish",
"German",
"Italian",
"Portuguese",
"Russian",
"Chinese",
"Japanese",
"Korean",
"Arabic",
"Hindi",
"Bengali",
"Punjabi",
"Polish",
"Turkish",
"Vietnamese",
"Thai",
"Malay",
"Czech",
"Romanian",
"Hungarian",
"Slovak",
"Ukrainian",
"Greek",
"Indonesian",
"Swedish",
"Norwegian",
"Finnish",
"Danish",
"Dutch",
"Serbian",
"Croatian",
"Bosnian",
"Macedonian",
"Albanian",
"Slovenian",
"Lithuanian",
"Latvian",
"Estonian",
"Icelandic",
"Maltese",
"Georgian",
"Amharic",
"Swahili",
"Tagalog",
"Latin",
"Yiddish",
"Marathi",
"Gujarati",
"Telugu",
"Tamil",
"Kannada",
"Malayalam",
"Odia",
"Sinhala",
"Nepali",
"Khmer",
"Burmese",
"Lao",
"Urdu",
"Pashto",
"Modern Hebrew",
"Basque",
"Welsh",
"Galician",
"Catalan"
],
"type": "string",
"description": "Language of the news results",
"default": "English"
},
"country": {
"title": "Country ๐",
"enum": [
"Any ๐",
"Australia ๐ฆ๐บ",
"Brazil ๐ง๐ท",
"Canada ๐จ๐ฆ",
"India ๐ฎ๐ณ",
"United Kingdom ๐ฌ๐ง",
"United States ๐บ๐ธ",
"Argentina ๐ฆ๐ท",
"France ๐ซ๐ท",
"Germany ๐ฉ๐ช",
"Japan ๐ฏ๐ต",
"South Korea ๐ฐ๐ท",
"Russia ๐ท๐บ",
"Mexico ๐ฒ๐ฝ",
"Spain ๐ช๐ธ",
"Italy ๐ฎ๐น",
"Turkey ๐น๐ท",
"Netherlands ๐ณ๐ฑ",
"Poland ๐ต๐ฑ",
"Sweden ๐ธ๐ช",
"Switzerland ๐จ๐ญ",
"Belgium ๐ง๐ช",
"China ๐จ๐ณ",
"Singapore ๐ธ๐ฌ",
"Vietnam ๐ป๐ณ",
"Thailand ๐น๐ญ",
"Indonesia ๐ฎ๐ฉ",
"Malaysia ๐ฒ๐พ",
"Philippines ๐ต๐ญ",
"South Africa ๐ฟ๐ฆ",
"Egypt ๐ช๐ฌ",
"Nigeria ๐ณ๐ฌ",
"Kenya ๐ฐ๐ช",
"Chile ๐จ๐ฑ",
"Colombia ๐จ๐ด",
"Peru ๐ต๐ช",
"Saudi Arabia ๐ธ๐ฆ",
"United Arab Emirates ๐ฆ๐ช",
"Morocco ๐ฒ๐ฆ",
"Pakistan ๐ต๐ฐ",
"Bangladesh ๐ง๐ฉ"
],
"type": "string",
"description": "Filter results by country edition of Google News",
"default": "Any ๐"
},
"maxitems": {
"title": "Maximum results per keyword ๐",
"type": "integer",
"description": "Max articles per keyword. ",
"default": 100
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```