Google News Scraper

Track news mentions, headlines, publishers, dates, and article links from Google News by keyword, country, language, and recency.

What does Google News Scraper do?

Google News Scraper helps you monitor news coverage for brands, competitors, markets, people, products, and topics.

It turns keyword searches into a clean Apify dataset with article titles, publisher names, publication times, descriptions, Google News links, and source URLs when available.

Use it when you need repeatable news monitoring without manually checking Google News every day.

Who is it for?

• 🗞️ PR teams tracking brand mentions and campaign pickup.
• 📈 Market intelligence teams monitoring competitors and industries.
• 🔎 SEO teams watching content trends and news demand.
• 🧑‍💼 Founders tracking investor, competitor, and category news.
• 🧪 Researchers collecting time-bounded news samples.
• 🤖 Automation builders feeding news data into dashboards and alerts.

Why use this actor?

• ✅ Search multiple keywords in one run.
• ✅ Select country and language editions.
• ✅ Limit results per query for predictable cost.
• ✅ Add recency filters such as when:7d or date windows.
• ✅ Remove duplicate articles across overlapping searches.
• ✅ Export results as JSON, CSV, Excel, XML, or HTML.
• ✅ Connect results to Zapier, Make, webhooks, or your own API pipeline.

Common use cases

• Brand monitoring for company, product, and executive names.
• Competitor monitoring by company and category keywords.
• Industry trend tracking for recurring newsletters.
• Media intelligence dashboards for PR reporting.
• Lead discovery for journalists and publishers covering your niche.
• SEO topic research around news-heavy keywords.
• Crisis monitoring for sudden changes in coverage.

What data can you extract?

Field	Description
query	Original query supplied in the input.
title	Article headline shown in Google News.
googleNewsUrl	Google News article URL.
sourceUrl	Publisher/source URL when available.
sourceName	Publisher name.
publishedAt	Publication timestamp in ISO format when available.
descriptionHtml	Original formatted description snippet.
descriptionText	Plain-text description snippet.
guid	Stable Google News item identifier when available.
language	Language setting used for the run.
country	Country/edition setting used for the run.
position	Position within the query result set.
scrapedAt	Timestamp when the result was collected.

How much does it cost to scrape Google News?

The actor uses pay-per-event pricing.

• A small start event is charged once per run.
• A result event is charged for each saved article.
• The default first run is intentionally small so you can test cheaply.

For example, a run with two queries and 20 articles per query saves up to 40 article rows.

Input overview

Input	Type	Default	Notes
queries	array	required	Keywords or search expressions.
maxItemsPerQuery	integer	20	Maximum articles saved for each query.
dateRange	string	when:7d	Optional recency or date filter.
country	string	US	Google News country edition.
language	string	en-US	Google News language setting.
ceid	string	derived	Optional advanced edition override.
dedupe	boolean	true	Removes duplicate articles across queries.

Query examples

Use simple keywords:

{
  "queries": ["apify", "openai"],
  "maxItemsPerQuery": 20,
  "dateRange": "when:7d"
}

Use quoted phrases:

{
  "queries": ["\"artificial intelligence startup\""],
  "maxItemsPerQuery": 20
}

Use date windows:

{
  "queries": ["electric vehicles"],
  "dateRange": "after:2026-01-01 before:2026-02-01",
  "country": "US",
  "language": "en-US"
}

Use multiple markets:

{
  "queries": ["fintech funding"],
  "country": "GB",
  "language": "en-GB",
  "maxItemsPerQuery": 20
}

How to run it

1. Open the actor on Apify.
2. Enter one or more queries.
3. Choose country, language, and optional date range.
4. Set the maximum articles per query.
5. Start the run.
6. Download the dataset or connect it to an integration.

Output example

{
  "query": "apify",
  "title": "Example headline - Example Publisher",
  "googleNewsUrl": "https://news.google.com/...",
  "sourceUrl": "https://www.example.com",
  "sourceName": "Example Publisher",
  "publishedAt": "2026-02-01T08:00:00.000Z",
  "descriptionHtml": "<a href=\"...\">Example headline</a>",
  "descriptionText": "Example headline",
  "guid": "example-guid",
  "language": "en-US",
  "country": "US",
  "position": 1,
  "scrapedAt": "2026-06-16T20:00:00.000Z"
}

Tips for better results

• Use exact brand names in quotes when names are ambiguous.
• Add product, executive, or category terms for better precision.
• Use when:1d, when:7d, or when:30d for monitoring workflows.
• Use after: and before: for historical research windows.
• Keep maxItemsPerQuery moderate for scheduled runs.
• Use separate runs for very different countries or languages.

Country and language examples

Market	country	language
United States	US	en-US
United Kingdom	GB	en-GB
Canada	CA	en-CA
Germany	DE	de-DE
France	FR	fr-FR
Spain	ES	es-ES
India	IN	en-IN
Australia	AU	en-AU

Scheduling and monitoring

You can schedule this actor to run hourly, daily, weekly, or monthly.

Common schedules:

• Daily brand mention report.
• Weekly competitor coverage summary.
• Monthly market trend export.
• Hourly crisis monitoring for sensitive topics.

Integrations

Send Google News results to:

• Google Sheets for analyst review.
• Slack for daily mention alerts.
• Airtable for PR databases.
• Notion for research libraries.
• Webhooks for custom pipelines.
• BigQuery, Snowflake, or S3 for analytics.

API usage with Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });

const run = await client.actor('fetch_cat/google-news-scraper').call({
  queries: ['apify', 'web scraping'],
  dateRange: 'when:7d',
  maxItemsPerQuery: 20,
  country: 'US',
  language: 'en-US',
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

API usage with Python

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ['APIFY_TOKEN'])

run = client.actor('fetch_cat/google-news-scraper').call(run_input={
    'queries': ['apify', 'web scraping'],
    'dateRange': 'when:7d',
    'maxItemsPerQuery': 20,
    'country': 'US',
    'language': 'en-US',
})

items = client.dataset(run['defaultDatasetId']).list_items().items
print(items)

API usage with cURL

curl -X POST \
  'https://api.apify.com/v2/acts/fetch_cat~google-news-scraper/runs?token=YOUR_APIFY_TOKEN' \
  -H 'Content-Type: application/json' \
  -d '{
    "queries": ["apify", "web scraping"],
    "dateRange": "when:7d",
    "maxItemsPerQuery": 20,
    "country": "US",
    "language": "en-US"
  }'

MCP usage

Use this actor from MCP-compatible tools through Apify MCP Server.

MCP URL:

https://mcp.apify.com/?tools=fetch_cat/google-news-scraper

Claude Code CLI setup:

$claude mcp add apify-google-news https://mcp.apify.com/?tools=fetch_cat/google-news-scraper

MCP JSON configuration:

{
  "mcpServers": {
    "apify-google-news": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/google-news-scraper"
    }
  }
}

Example prompts:

• "Run Google News Scraper for my company name and summarize the newest articles."
• "Find the last 7 days of news about AI regulation in the US."
• "Track competitor mentions and create a table with publisher, date, and headline."

Claude Desktop setup

Add Apify MCP Server to Claude Desktop and include the actor-specific tools URL.

Example MCP JSON configuration:

{
  "mcpServers": {
    "apify-google-news": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/google-news-scraper"
    }
  }
}

Then ask Claude to run the actor with a query list, inspect the dataset, and summarize the results.

Claude Code setup

Use the actor-specific MCP URL in your Claude Code MCP configuration.

$claude mcp add apify-google-news https://mcp.apify.com/?tools=fetch_cat/google-news-scraper

This lets you trigger news monitoring directly while working on research, marketing, or reporting scripts.

Data quality notes

Google News results can change quickly.

The same query may return different articles at different times.

Publication timestamps and source names are provided as available from Google News.

Some publishers may provide limited snippets.

Limits

• Maximum maxItemsPerQuery is 100.
• Very narrow queries may return fewer results than requested.
• Country and language combinations should be valid Google News editions.
• The actor is designed for monitoring and research, not high-frequency bulk crawling.

FAQ

Can I run this actor on a schedule?

Yes. Use Apify schedules for daily monitoring, weekly competitor summaries, or hourly alerts during time-sensitive news cycles.

Can I search more than one keyword at once?

Yes. Add multiple values to queries; the actor saves the original query on every output row.

Troubleshooting

Why did I get fewer articles than requested?

The query may have fewer matching news results in the selected locale or date range. Try broadening the query or increasing the date window.

Why are some source URLs missing?

Some items may not expose a publisher URL. The actor still saves the Google News URL and publisher name when available.

Why do results change between runs?

Google News ranking and availability are dynamic. Use scheduled runs and dataset snapshots when you need historical comparisons.

Legality and responsible use

This actor collects publicly visible Google News result metadata. Make sure your use case complies with applicable laws, platform terms, and privacy requirements.

Do not use the data for spam, harassment, or unlawful profiling.

Related scrapers

You may also find these Apify actors useful:

• https://apify.com/fetch_cat/reddit-scraper
• https://apify.com/fetch_cat/craigslist-classifieds-scraper
• https://apify.com/fetch_cat/apple-app-store-reviews-scraper
• https://apify.com/fetch_cat/y-combinator-companies-scraper

Support

If a run does not produce the result you expected, check the input query, date range, country, and language first.

For repeatable issues, share the run ID and a short description of the expected results.

Changelog

Initial version:

• Keyword-based Google News monitoring.
• Country and language settings.
• Recency and date-range query support.
• Duplicate removal across queries.
• Clean article dataset output.