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Google News Scraper — Search, Topics & Full Articles

👁 Google News Scraper

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?

Output data

Article data

Each article includes all available metadata:

Topic summary

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

Run statistics

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

Supported countries & languages

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

Filters & sorting

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.

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")