Google News Scraper — Search, Topics & Full Articles

Scrape Google News at scale. Search by keywords, browse topic categories, filter by country, language, and date range. Extract full article text, sentiment analysis, and structured data — all at lightning speed.

What can this scraper do?

• Search news by keywords — find articles on any topic with title, source, date, and direct links
• Browse topic categories — scrape curated feeds: World, Business, Technology, Sports, Science, Health, Entertainment
• Full article extraction — fetch complete article text with word count, reading time, and author info
• Sentiment analysis — automatic positive/negative/neutral classification for every article
• Multi-language & multi-country — 25 languages and 35 countries supported out of the box
• Flexible date filters — last hour, 24h, 7 days, 30 days, or custom date range

Why use Google News Scraper?

Use case	How it helps
Media monitoring	Track brand mentions and industry news in real time
Competitive intelligence	Monitor competitors' press coverage across countries
Market research	Analyze news trends and sentiment for any market or region
Academic research	Collect large news datasets with full text for analysis
Content curation	Build automated news feeds for newsletters or dashboards
PR & communications	Measure press coverage and media sentiment
Financial analysis	Monitor news sentiment for stocks, crypto, or sectors

Output data

Article data

Each article includes all available metadata:

Field	Description
Title	Article headline
Source	Publisher name
Published date	ISO 8601 timestamp
Link	Direct URL to the article
Snippet	Article preview text from Google News
Image URL	Thumbnail image from the article
Sentiment	Positive, Negative, or Neutral with confidence score
Sentiment score	Numerical score from -1.0 to +1.0
Query / Topic	Which search query or topic category produced this result
Full text	Complete article body (when enabled)
Word count	Article length in words (with full text)
Reading time	Estimated reading time in minutes (with full text)
Author	Article author when available (with full text)

Topic summary

When scraping topic categories, get an overview of each topic:

Field	Description
Topic name	Category (Business, Technology, etc.)
Article count	Number of articles found
Top sources	Most frequent publishers
Avg sentiment	Average sentiment across the topic
Date range	Earliest to latest article

Run statistics

Every run includes a summary with total articles, processing speed, top sources, average sentiment, and error count.

Supported countries & languages

Region	Countries
Americas	US, Canada, Mexico, Argentina, Brazil
Europe	UK, Germany, France, Spain, Italy, Netherlands, Poland, Sweden, Norway, Denmark, Finland, Czech Republic, Romania, Hungary, Turkey, Ukraine
Middle East	Israel, Saudi Arabia, UAE, Egypt
Asia Pacific	Japan, China, South Korea, India, Indonesia, Vietnam, Australia
Africa	South Africa, Nigeria

25 languages supported including English, Spanish, French, German, Russian, Chinese, Japanese, Arabic, and more.

Filters & sorting

Filter	Options
Date range	Last 1 hour, 24 hours, 7 days, 30 days, or custom range
Country	35 country editions
Language	25 languages
Sort by	Publication date (newest first) or relevance
Deduplication	Automatic removal of duplicate articles across queries
Output format	Articles only, Topics summary only, or Both

How much does it cost?

Google News Scraper uses a pay-per-result model at $0.03 per result. No monthly fees — you only pay for the data you collect.

Results	Cost
100 articles	$3.00
500 articles	$15.00
1,000 articles	$30.00
10,000 articles	$300.00

Platform costs (compute + proxy) are included in the per-result price.

Input examples

Search news by keyword

{
  "queries": ["artificial intelligence"],
  "maxArticlesPerQuery": 50,
  "language": "en",
  "country": "US",
  "dateRange": "7d"
}

Browse multiple topic categories

{
  "topics": ["technology", "science", "business"],
  "maxArticlesPerQuery": 30,
  "country": "US",
  "outputFormat": "both"
}

Full article extraction with date filter

{
  "queries": ["climate change"],
  "includeFullText": true,
  "maxArticlesPerQuery": 20,
  "dateRange": "1d",
  "country": "GB",
  "language": "en"
}

Multi-keyword research with custom date range

{
  "queries": ["bitcoin", "ethereum", "crypto regulation"],
  "maxArticlesPerQuery": 50,
  "dateRange": "custom",
  "startDate": "2026-05-01",
  "endDate": "2026-05-18",
  "sortBy": "relevance"
}

Media monitoring in a specific country

{
  "queries": ["Tesla", "SpaceX"],
  "maxArticlesPerQuery": 100,
  "country": "DE",
  "language": "de",
  "dateRange": "30d"
}

Tips for best results

1. Start small — test with 10-20 articles to verify your filters before scaling up
2. Use specific queries — "electric vehicle sales Europe 2026" yields better results than just "cars"
3. Combine queries + topics — use outputFormat: "both" to get articles plus topic-level analytics
4. Full text wisely — enable includeFullText only when you need article bodies; it's slower but gives you word count, reading time, and author data
5. Country + language — match these for best results (e.g., country: "DE" with language: "de")
6. Custom date range — perfect for researching a specific event or time period

Limitations

• Only publicly available articles from Google News are accessible
• Some publishers behind paywalls may return incomplete full text
• Google News RSS feeds return up to 100 articles per query
• Sentiment analysis uses keyword-based classification (not AI/ML models)
• Run statistics are included as the last record in the dataset (field type: "stats")