Google News Scraper — Articles & Monitor avatar

Google News Scraper — Articles & Monitor

Pricing

from $2.50 / 1,000 news articles

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Google News Scraper — Articles & Monitor

Google News Scraper — Articles & Monitor

Google News scraper for brand, competitor and market monitoring. Search by country, language and date; filter publishers, resolve URLs and optionally extract article text. Free analytics report publisher/domain share, daily/query volume, enrichment coverage and tracked keyword mentions.

Pricing

from $2.50 / 1,000 news articles

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Developer

Rosario Vitale

Rosario Vitale

Maintained by Community

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3 days ago

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Google News Scraper API — Articles, Coverage & Monitor

Why use this Actor?

Google News scraper for brand, competitor and market monitoring. Search by country, language and date; filter publishers, resolve URLs and optionally extract article text. Free analytics report publisher/domain share, daily/query volume, enrichment coverage and tracked keyword mentions.

Features

  • Search queries — Search queries. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Language — Language. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Country code — Country code. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Maximum articles per query — Maximum articles per query. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • From date (YYYY-MM-DD) — From date (YYYY-MM-DD). Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • To date (YYYY-MM-DD, exclusive) — To date (YYYY-MM-DD, exclusive). Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Split date ranges by day to reduce RSS caps — Split date ranges by day to reduce RSS caps. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Only these publisher domains — Only these publisher domains. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Exclude publisher domains — Exclude publisher domains. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Try to resolve Google News links to publisher URLs — Try to resolve Google News links to publisher URLs. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.
  • Optional persistent monitor key — Use the same key on scheduled runs to mark already-seen articles.
  • Emit only newly seen articles — Emit only newly seen articles. Configure this value to control the Actor run; bounded defaults are chosen for reliable production use.

Use cases

  • Brand monitoring.
  • Competitor news tracking.
  • Pr research.
  • News datasets and alerts.

Example input

{
"queries": [
"OpenAI"
],
"language": "en",
"country": "US",
"maxItemsPerQuery": 100,
"splitDateRangeByDay": true,
"resolveArticleUrls": false
}

Pricing & cost control

Use the bounded input limits and filters to keep runs predictable. Pay-per-result Actors only charge primary result rows; summary, status and monitoring metadata are designed to add context without inflating result volume.

FAQ

What is this Actor for?
It is designed for brand monitoring, competitor news tracking, PR research.

Can I run it on a schedule?
Yes. You can schedule Actor runs on Apify and send the resulting dataset into automations, webhooks, storage, or downstream APIs.

How do I control cost and run size?
Use the input limits and filters shown in the Actor input form. The Actor applies bounded defaults and hard caps so large jobs remain predictable.

Search keywords

google news scraper, google news scraper python, google news scraper api, google news scraper free, google news scraper apify, google news scraper npm, google news scraping, google news scraping python, google news rss scraper, google news web scraper, news, google, articles, search

Search Google News without a browser and turn RSS results into clean, scheduled monitoring datasets.

The Actor accepts multiple queries, country/language editions, date windows and publisher-domain filters. It automatically deduplicates overlapping RSS windows, can split a historical date range into daily windows to reduce Google's roughly 100-item feed ceiling, and can keep a persistent seen-set for scheduled brand/news monitoring.

Main advantages

  • Multiple queries in one run.
  • Country and language localization.
  • Optional historical after: / before: windows.
  • Daily window splitting for better coverage of high-volume topics.
  • Include/exclude publisher-domain filters before billing.
  • Deduplication across overlapping windows and queries.
  • Optional publisher article URL resolution.
  • Persistent monitorKey with isNew and onlyNew.
  • Retries, timeouts, bounded input sizes and clean error rows.
  • Pay only for article records that are actually delivered when PPE is enabled.

Example

{
"queries":["OpenAI","Claude AI"],
"language":"en",
"country":"US",
"maxItemsPerQuery":100,
"includeDomains":["reuters.com","techcrunch.com"],
"monitorKey":"ai-competitors",
"onlyNew":true
}

Each article contains the query, title, publication time, publisher, publisher website/domain, Google News URL, cleaned description and optional resolved article URL.

This Actor intentionally uses Google's lightweight public RSS surface instead of a headless browser. That keeps runtime and platform cost low enough for hourly or daily monitoring schedules. Google News RSS is an undocumented public endpoint and can change, so network/shape failures are isolated into diagnostic rows rather than silently dropping the whole run.

Use public news data responsibly and respect publisher terms when following article URLs.

Extended capabilities

  • Search Google News across bounded date windows with deduplication and persistent monitoring.
  • Optionally fetch destination articles and extract canonical URL, dates, author, image, text, and word count.
  • Preserve source metadata while isolating per-article enrichment failures.