Google News Scraper - Articles by Keyword or Topic avatar

Google News Scraper - Articles by Keyword or Topic

Pricing

from $3.00 / 1,000 news requests

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Google News Scraper - Articles by Keyword or Topic

Google News Scraper - Articles by Keyword or Topic

Scrape Google News: articles for any keyword (title, link, source, published date, snippet) with a freshness filter, or top stories and sections (world, business, technology...) for any country edition and language. Batch many keywords. No proxies needed.

Pricing

from $3.00 / 1,000 news requests

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Google News Scraper collects articles from Google News as structured data: title, link, publisher, publication date and snippet for each story. Search by keyword (a brand, a person, a topic) with an optional freshness window, or read top stories and sections such as business, technology or sports for any country edition and language. Use it for media monitoring, brand mentions, PR tracking and news datasets. Pricing is pay-per-event: $0.003 per request; failed requests are not charged.

Proxies, retries and anti-bot handling are built in, so you don't need your own proxies or an API key. Start a run, get structured JSON.

What can this scraper do?

  • Keyword search with a freshness filter (last hour, day, week or year).
  • Top stories and sections: world, nation, business, technology, entertainment, sports, science, health.
  • Any country edition and language (e.g. CA:fr, GB:en).
  • Per article: title, link, source, published date, snippet, position.
  • One of the cheapest Actors to run: batch hundreds of queries.

Modes

ModeWhat it returnsPrice per request
searchArticles matching a query, optionally limited to the last hour/day/week/year$0.003
topicTop stories or a section (world, business, technology, ...) for a country edition$0.003

What data can you extract?

FieldDescription
news_results[].title / linkHeadline and article URL
news_results[].sourcePublisher
news_results[].publishedPublication date
news_results[].snippetSummary text
news_results[].position / story_tokenRank and Google story id
totalArticles returned

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to use Google News Scraper - Articles by Keyword or Topic

  1. Open Google News Scraper - Articles by Keyword or Topic in Apify Console and go to the Input tab.
  2. Enter keywords to search, or switch Mode to Section feed and pick sections. Choose the country edition and language.
  3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
  4. Click Start and wait for the run to finish.
  5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
"mode": "search",
"queries": [
"Hilton Chicago"
],
"topics": [
"top_stories"
],
"includeErrors": true,
"maxConcurrency": 3,
"maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
"mode": "search",
"endpoint": "/v1/news",
"input": {
"q": "Hilton Chicago",
"when": "1y"
},
"meta": {
"elapsed_s": 0.412,
"source": "google_news"
},
"news_results": [
{
"link": "https://news.google.com/rss/articles/CBMigAFBVV95cUxOTFVQSS1SaXdVWjNMdUR6WWk1SUk5LTdFSm44bW1xOEtTMko3bDJ0ZlBfaEY0eUlSWGZUV2tOTUZxWmU5Rzg2RVRRQ2RzR243UnJ4UEww...",
"position": 1,
"published": "2025-10-31T07:00:00Z",
"snippet": null,
"source": {
"name": "Time Out Worldwide",
"url": "https://www.timeout.com"
},
"story_token": "CBMigAFBVV95cUxOTFVQSS1SaXdVWjNMdUR6WWk1SUk5LTdFSm44bW1xOEtTMko3bDJ0ZlBfaEY0eUlSWGZUV2tOTUZxWmU5Rzg2RVRRQ2RzR243UnJ4UEwwMFR5MzRiSEtnOEFWa2I0M0ZoU1lzYlpBNVhWR...",
"title": "Sleep in history: Inside Hilton Chicago, the city's grandest hotel"
},
{
"link": "https://news.google.com/rss/articles/CBMiWhFDQUlRQUNvZENodHljRjlvT25SZmJHOVBVMHh0VTJkSlNsa3lMVmMxZVMxMWVtYxAB?oc=5",
"position": 2,
"published": "2026-09-28T22:45:10Z",
"snippet": null,
"source": {
"name": "Chicago Tribune",
"url": "https://www.chicagotribune.com"
},
"story_token": "CBMiWhFDQUlRQUNvZENodHljRjlvT25SZmJHOVBVMHh0VTJkSlNsa3lMVmMxZVMxMWVtYxAB",
"title": "Second story title from the same feed"
}
],
"search_parameters": {
"engine": "google_news",
"gl": "US",
"hl": "en",
"q": "Hilton Chicago",
"topic": null
},
"total": 2,
"request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
"billed": true,
"scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

EventCharged whenPricePer 1,000
news-requestOne Google News search or section feed (up to about 100 articles). Empty answers are free.$0.003$3.00

For example, 1,000 requests in the default mode cost $3.00.

  • Failed requests (errors, invalid input, blocked upstream after retries) are free.
  • Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
  • Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or an API key?

No. Proxy rotation, retries and anti-bot handling are built in, and the Actor is ready to run as is. You only pay the per-event prices above.

How many articles per request?

Google News returns up to about 100 articles per search or section. Narrow the query or the time window for more targeted results.

Can I monitor news about a brand automatically?

Yes. Save your keywords as a task, use the freshness filter so each run returns recent articles only, and schedule it. Send new articles to Slack, email or Google Sheets with Apify integrations.

Which countries and languages are supported?

Any Google News country edition: set the country and language, and the results match that edition.

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/google-news-scraper').call({
"mode": "search",
"queries": [
"Hilton Chicago"
]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient
client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/google-news-scraper").call(run_input={
"mode": "search",
"queries": ["Hilton Chicago"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.