Google News Scraper

Google News Scraper extracts news articles from Google News — including headlines, source, publication date, images, and direct article URLs. Whether you're tracking a breaking story, monitoring competitors, or building a news dataset, it's the fastest way to get structured news data at scale.

What can you do with Google News Scraper?

This Actor turns Google News into a structured, machine-readable dataset. It's used by:

• Media monitoring teams — Track brand mentions, competitor news, and industry trends across thousands of publishers
• Journalists & researchers — Collect articles on specific topics with date filters for trend analysis or academic studies
• Content curators — Build newsletters, news aggregators, or content feeds with automatically gathered headlines
• Investors & analysts — Monitor market-moving news across sectors, regions, and languages
• SEO & marketing professionals — Analyze news coverage, find link-building opportunities, and spot content gaps

Get more results than browsing Google News

Manually browsing Google News caps at roughly 100 results per search. This Actor can retrieve significantly more by automatically stepping through date ranges day by day — so you don't miss a single relevant article.

Search across 50+ languages and regions

Get local perspectives from virtually anywhere. Search US news in German, French coverage of Japanese tech, or Brazilian takes on global markets — all from one tool.

Use advanced search operators

Refine results with Google's search operators:

Operator	Example	What it does
intitle:	intitle:"AI"	Find articles with keyword in the headline
site:	site:reuters.com	Search within a specific publisher
""	"climate change"	Exact phrase match
-	apple -fruit	Exclude unwanted terms
AND / OR	AI AND (ethics OR regulation)	Boolean combinations

Example queries to try:

• site:forbes.com "artificial intelligence" — Forbes AI coverage
• "stock market" AND (crash OR rally) -crypto — Market news, no crypto
• intitle:"Samsung" AND site:techcrunch.com — Samsung mentions on TechCrunch

Search by topic instead of query

Prefer to browse by category? Pick from built-in topics like WORLD 🌎, BUSINESS 📈, TECHNOLOGY 💻, SPORTS ⚽, SCIENCE 🧪, and more. You can even use hashed topic IDs for niche sections (like "Technology > Artificial Intelligence") copied directly from Google News URLs.

Flexible date ranges for any timeframe

Search the last hour, today, this week, or a custom date range — perfect for real-time monitoring or historical research.

How to scrape Google News in minutes

1. Pick your search method

Enter a query in the Search query field, select from predefined topics, or paste a hashed topic ID from a Google News URL. You can use all three at once — results are merged automatically.

2. Choose your language and region

Select from 50+ language/region combinations. Want Japanese news in Japanese? Choose JP:ja. Need UK coverage in English? Pick GB:en.

3. Set a date range

Use fixed dates (e.g., 2024-01-01 to 2024-01-31) for historical searches, or open-ended ranges (e.g., 1h for the last hour, 7d for the past week, 1y for the past year).

4. Decide on detail level

Keep it fast: Leave "Fetch article details" off to get RSS link data — quick and lightweight.
Get richer data: Enable it to decode RSS links into actual article URLs and pull preview images from publisher pages.

5. Run and export

Hit run, and your results land in a structured dataset. Download as JSON, CSV, Excel, or HTML — whatever fits your workflow.

Example input

{
  "query": "intitle:\"artificial intelligence\" AND site:techcrunch.com",
  "language": "US:en",
  "maxItems": 50,
  "fetchArticleDetails": true,
  "openEndedDateRange": "7d"
}

What you get

Each article includes the following output fields:

{
  "title": "Web Scraping Optimization: Tips for Faster, Smarter Scrapers",
  "link": "https://hackernoon.com/web-scraping-optimization-tips-for-faster-smarter-scrapers",
  "source": "hackernoon.com",
  "sourceUrl": "https://hackernoon.com",
  "publishedAt": "2024-11-15T08:00:00.000Z",
  "image": "https://hackernoon.imgix.net/images/example.png",
  "guid": "CBMiiAFBVV95cUxQUXh5WVZ2RkNpNG9ndjF6V3hMRHBRTGRSVnNkelpwZDY2TWJzejBSMGZrRC1rSm5DZ1BxanpoeFFGdDRjWGpZR0tOUG9FY0kyeWFXOE9MSzBobTg1ajRiZzVhSWhtbm5nSVNJVWExSDBSaEFjUUJkT1JRRDJHSDBrMU9jU2ZZN3RN"
}

Every field is clean, structured, and ready for analysis or integration.

Tips for getting the most out of this Actor

• Need thousands of articles? Set a high maxItems — the Actor automatically iterates day by day to go beyond the standard limit
• Want different perspectives on the same story? Run the same query with different language/region settings — compare how US, UK, and German outlets cover a topic
• Planning a big research project? Run multiple queries in parallel for faster data collection across different topics or keywords
• Need full article text? Pair this with a dedicated article extractor using the link field — the Actor provides clean input URLs for downstream processing

FAQ and support

Is scraping Google News legal? This Actor uses the public Google News RSS API, which is designed for content syndication. Always respect publisher copyrights and comply with applicable laws (GDPR, CCPA, etc.) when using extracted data.

Why are some images missing? Images are pulled from publisher page metadata (Open Graph / Twitter Cards). Some sites don't provide these tags, so images may be unavailable for certain articles.

Can I get full article text? This Actor extracts metadata (headlines, links, sources, dates, images). For full article content, use the extracted link with a dedicated article scraper.

What if I run into issues? The Actor uses Apify Proxy and conservative settings by default. If you're running into limits, try shorter date ranges or contact support.

Need help?

• Report bugs and feature requests via the Issues tab
• Join the Apify Discord
• Contact Apify Support