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Google News Monitor - Full Text & Real URLs

Monitor Google News for keywords, site: queries and topics in any country; decoded publisher URLs, optional full text, only-new mode.

Google News Monitor watches Google News for your keywords, site: searches and topic sections in any country and language, and returns every article as a clean row: headline, source, publication time, the real publisher URL decoded from the Google News link and, if you want it, the full article text, author and image. Switch on Only new articles and schedule it, and each run returns just the articles you have not received yet. It is built for brand and competitor monitoring, PR and media tracking, market news for trading or research, and news feeds for AI agents and n8n, Make or Zapier workflows.

Use cases

• Brand and competitor monitoring: track mentions of your company, products and competitors in several countries at once, with duplicates across queries merged into one row.
• PR and media clipping: collect every article from the last day or hour with the publisher's own URL, ready for a clipping report or a spreadsheet.
• Company research before a call or deal: pull recent coverage of a company, including the full text, and feed it to an LLM for a summary.
• Market and industry news: follow sectors, tickers or regulators with Google News operators such as "exact phrase", OR, -exclude and site:reuters.com.
• News datasets and alerts for AI agents: a typed output schema with a description of every field, list inputs and short runs make it easy to call from agents and automation tools.

Sample output

{
  "query": "openai",
  "matchedQueries": ["openai"],
  "title": "FTC launches broad investigation into Anthropic, OpenAI",
  "sourceName": "washingtonpost.com",
  "sourceDomain": "washingtonpost.com",
  "sourceHomepage": "https://www.washingtonpost.com",
  "publishedAt": "2026-09-30T17:44:14.000Z",
  "hoursSincePublished": 0.6,
  "originalUrl": "https://www.washingtonpost.com/technology/2026/09/30/ftc-launches-broad-investigation-into-anthropic-openai/",
  "urlStatus": "resolved",
  "googleNewsUrl": "https://news.google.com/rss/articles/CBMirAFBVV95cUxPNERSOFU3...?oc=5",
  "articleId": "CBMirAFBVV95cUxPNERSOFU3...",
  "snippet": "The probe reflects a focus by Trump administration officials on using existing laws to police AI.",
  "language": "en",
  "country": "US",
  "matchedEditions": ["US:en", "GB:en"],
  "fullText": "The Federal Trade Commission has opened a broad investigation into the safety of artificial intelligence systems...",
  "fullTextStatus": "partial",
  "author": "Ian Duncan",
  "imageUrl": "https://www.washingtonpost.com/wp-apps/imrs.php?src=...",
  "found": true,
  "scrapedAt": "2026-09-30T18:20:00.000Z"
}

Every field is described in the dataset schema of the Actor. The Articles view shows the main columns and the Full text view shows author, snippet, text and image.

How does URL decoding work?

Google News links point to news.google.com and hide the publisher URL in an encoded article ID. The Actor decodes each returned article through the same public endpoint the Google News website uses: one request for the article page and one decoding request per 10 articles, about 1.1 requests per article. The result goes into originalUrl. The run status reports how many links were decoded and how many decoded URLs are on the source's own domain ("Original URL resolved for 20 of 20 articles, on the source's own domain for 20 of 20"). If Google stops decoding links, or if most decoded URLs point away from the article's source, the run fails with a clear message before any article is returned or charged, instead of returning rows with missing or wrong URLs.

Output fields

Every result is one flat record, so it drops straight into a spreadsheet, a database or a CRM.

Sample record

{
  "query": "openai",
  "matchedQueries": [
    "openai",
    "topic:TECHNOLOGY"
  ],
  "title": "FTC launches broad investigation into Anthropic, OpenAI",
  "sourceName": "The Washington Post",
  "sourceDomain": "washingtonpost.com",
  "sourceHomepage": "https://www.washingtonpost.com",
  "publishedAt": "2026-09-30T17:44:14.000Z",
  "hoursSincePublished": 0.6,
  "originalUrl": "https://www.washingtonpost.com/technology/2026/09/30/ftc-launches-broad-investigation-into-anthropic-openai/",
  "urlStatus": "resolved",
  "googleNewsUrl": "https://news.google.com/rss/articles/CBMirAFBVV95cUxPNERSOFU3M09XYWNrVTdSdHhkcVl4NkxXeUU2dHItLW41QnJ5TjhOX1VhaUh0Wmc1Y3ZFVm9qeXhfd0gxRVNNclo3UURDbGFrb19KS2RhSWlrbFl1RTZ5V2dlbEN4WXZ0SkwyTy1mRFc4M0lDYVRCZ0lBQnJzZ2xmenA1cDNaX294MzJYVmhydXlBQ1ZQbG40LW9lY1UtQ2MzRmZsdDJ2MWplNVAx?oc=5",
  "articleId": "CBMirAFBVV95cUxPNERSOFU3M09XYWNrVTdSdHhkcVl4NkxXeUU2dHItLW41QnJ5TjhOX1VhaUh0Wmc1Y3ZFVm9qeXhfd0gxRVNNclo3UURDbGFrb19KS2RhSWlrbFl1RTZ5V2dlbEN4WXZ0SkwyTy1mRFc4M0lDYVRCZ0lBQnJzZ2xmenA1cDNaX294MzJYVmhydXlBQ1ZQbG40LW9lY1UtQ2MzRmZsdDJ2MWplNVAx",
  "snippet": "The probe reflects a focus by Trump administration officials on using existing laws to police AI.",
  "language": "en",
  "country": "US",
  "matchedEditions": [
    "US:en",
    "GB:en"
  ],
  "fullText": "The Federal Trade Commission has opened a broad investigation into the safety of artificial intelligence systems made by Anthropic and OpenAI...",
  "fullTextStatus": "ok",
  "author": "Ian Duncan",
  "imageUrl": "https://www.washingtonpost.com/wp-apps/imrs.php?src=https://arc-anglerfish-washpost-prod-washpost.s3.amazonaws.com/public/example.jpg",
  "found": true,
  "scrapedAt": "2026-09-30T18:20:00.000Z"
}

Input

Call it from your code

Run the Actor and get the results in one request. Replace YOUR_APIFY_TOKEN with the token from your Apify account settings.

curl -X POST "https://api.apify.com/v2/acts/datagrit~google-news-rss-monitor/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["openai","\"electric vehicles\""],"editions":["US:en"],"timeRange":"1d","maxItems":20}'

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('datagrit/google-news-rss-monitor').call({
  "queries": [
    "openai",
    "\"electric vehicles\""
  ],
  "editions": [
    "US:en"
  ],
  "timeRange": "1d",
  "maxItems": 20
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.length, items[0]);

from apify_client import ApifyClient
import os

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("datagrit/google-news-rss-monitor").call(run_input={
  "queries": [
    "openai",
    "\"electric vehicles\""
  ],
  "editions": [
    "US:en"
  ],
  "timeRange": "1d",
  "maxItems": 20
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(len(items), items[0] if items else None)

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