How to Scrape Google News in Python (No API Key Required)

Google News aggregates headlines from thousands of publishers worldwide. Getting that data programmatically has been unnecessarily hard since Google retired its News API in 2013. Here are the working approaches in 2025.

Option 1: Google News RSS feed

Google News provides a free RSS feed per search query. No API key needed.

import feedparser
import urllib.parse

def search_google_news(query, language='en', country='US', max_results=100):
    encoded = urllib.parse.quote(query)
    url = f"https://news.google.com/rss/search?q={encoded}&hl={language}-{country}&gl={country}&ceid={country}:{language}"
    
    feed = feedparser.parse(url)
    results = []
    
    for entry in feed.entries[:max_results]:
        results.append({
            'title': entry.title,
            'link': entry.link,
            'published': entry.published,
            'source': entry.get('source', {}).get('title', ''),
            'summary': entry.summary,
        })
    
    return results

articles = search_google_news('artificial intelligence regulation 2025')
for a in articles[:5]:
    print(a['title'], '-', a['source'])

Limitation: RSS is capped at 100 results and the article URLs are Google redirect URLs, not the original publisher URL. Decoding them requires an extra step.

Option 2: GNews Python library

GNews wraps the RSS feed and decodes the redirect URLs:

pip install gnews

from gnews import GNews

google_news = GNews(language='en', country='US', max_results=100)
articles = google_news.get_news('OpenAI GPT-5')

for article in articles:
    print(article['title'])
    print(article['url'])      # decoded original URL
    print(article['published date'])
    print(article['publisher'])

Still capped at 100 results per query and subject to the same rate limits as direct RSS access.

Option 3: Apify actor for scale

When you need more than 100 results, multiple queries on a schedule, or consistent delivery without rate limits, use the Google News Scraper:

import apify_client

client = apify_client.ApifyClient('YOUR_APIFY_TOKEN')

run_input = {
    "query": "Nvidia earnings Q2 2025",
    "language": "en",
    "country": "US",
    "maxResults": 500,
    "dateRange": "1d",  # last 24 hours
}

run = client.actor('themineworks/google-news').call(run_input=run_input)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item['title'])
    print(item['url'])
    print(item['source'], item['published_at'])

Scheduling for media monitoring

Set up a daily or hourly run via Apify Scheduler to track mentions of your brand, competitors, or industry keywords. Results push to a dataset you can query via API or connect to a Google Sheet.

# Webhook example: receive new articles via POST to your endpoint
# Configure in Apify console under Actor > Integrations > Webhooks

Filtering by publisher

The RSS approach does not support publisher filtering natively. You can filter post-retrieval:

tier_one_sources = {'BBC', 'Reuters', 'Associated Press', 'Bloomberg', 'Financial Times'}
filtered = [a for a in articles if a['source'] in tier_one_sources]

Pricing

Pay per article returned. Failed and empty results are never charged.