Google News Scraper
Pricing
from $0.80 / 1,000 article scrapeds
Google News Scraper
Scrape Google News articles by keyword, topic, or top headlines - titles, real article URLs, sources, snippets, and publish dates.
Pricing
from $0.80 / 1,000 article scrapeds
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Developer
Andrew
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a day ago
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Scrape Google News articles by keyword, topic, or top headlines — get titles, real publisher URLs, source names, snippets, and publish dates. No login, no API key, no proxies required.
What you get
For each article, the scraper returns:
- Title and real article URL — Google News links are redirect URLs; the scraper resolves them to the publisher's actual page (
urlResolvedtells you when it succeeded) - Source name and source website (e.g. "Reuters",
https://www.reuters.com) - Publish date in clean ISO 8601 format — ready for sorting and filtering
- Snippet — plain-text summary extracted from the feed
- Related coverage — when Google bundles related stories, you get an array of
{title, sourceName}for each related article - The query or topic each article came from, so you can run many searches in one go and keep results organized
- Results are deduplicated by URL across all queries — one clean row per article
- Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console
Use cases
- News monitoring — track breaking coverage of any keyword, company, or person and pipe it into alerts or dashboards
- Brand mention tracking — see every outlet writing about your brand (or a client's), with source names and timestamps
- Trend detection — schedule recurring runs on topic feeds (TECHNOLOGY, BUSINESS, SCIENCE …) and spot emerging stories early
- AI / RAG news ingestion — feed fresh, structured news articles with clean URLs and ISO dates into LLM pipelines and vector stores
- Competitive intelligence — combine
site:operators and keyword queries to monitor competitors' press coverage and announcements
How to use
- Enter one or more Search queries — plain keywords or Google operators:
"artificial intelligence"— exact phrasetesla when:7d— only articles from the last 7 dayssite:reuters.com openai— only articles from a specific outlet
- And/or pick Topics: WORLD, NATION, BUSINESS, TECHNOLOGY, ENTERTAINMENT, SCIENCE, SPORTS, HEALTH
- Leave both empty to scrape the top headlines for your chosen country and language
- Set Language (e.g.
en,de,pt-BR) and Country (e.g.US,GB,AU) to pick the Google News edition - Set Max Items (0 = everything available; each feed returns up to ~100 articles)
- Run the actor — results appear in the Dataset tab, one article per row
Tip: keep Resolve real article URLs enabled to get publisher URLs instead of news.google.com redirect links. Disable it for faster runs when the redirect URLs are good enough.
Output format
Each dataset record:
{"query": "artificial intelligence","title": "How do young people feel about AI? 7 teens weigh in","url": "https://www.npr.org/2026/07/14/nx-s1-5863025/teens-artificial-intelligence-ai-school","urlResolved": true,"sourceName": "NPR","sourceUrl": "https://www.npr.org","publishedAt": "2026-07-14T20:00:00.000Z","snippet": "How do young people feel about AI? 7 teens weigh in NPR","relatedArticles": [{ "title": "Teens are using AI for homework help", "sourceName": "The Verge" }]}