Google Trends Trending Now

🔥 What is Google Trends Trending Now Scraper?

Google Trends Trending Now Scraper extracts real-time trending search queries directly from Google Trends. Each trending query is returned as an individual dataset item, making it perfect for pay-per-result workflows, automated pipelines, and large-scale trend monitoring.

Unlike other Google Trends scrapers that bundle all results into a single output, this Actor gives you one row per trending search, featuring search volume, category, related terms, active/ended status, and a direct Google Trends link. Ready to export as JSON, CSV, Excel, or XML.

✨ Why use this Google Trends Trending Now Scraper?

• 🚀 Blazing fast: No browser needed. Direct API extraction returns hundreds of results in seconds.
• 📊 One result per trending query: Perfect for analytics pipelines and spreadsheet workflows.
• 🌍 125+ countries & 1,300+ regions supported: Go broad (US, UK, France) or go local (California, Île-de-France, Texas).
• 🚦 Trend Status Filter: Choose to extract only currently Active trends, Ended trends, or everything.
• 🏷️ 19 category filters: Sports, Technology, Entertainment, Health, Politics, and more.
• ⏱️ Flexible timeframes: Past 4 hours, 24 hours, 48 hours, or 7 days.
• 🔗 Direct Google Trends URL: Each result includes a clickable link to explore the trend further.
• 🛡️ Anti-blocking built-in: Smart proxy rotation ensures reliable data collection.
• 📦 Apify platform power: API access, scheduling, webhooks, and 30+ integrations included.

📋 What data can you extract from Google Trends?

Field	Description
🏅 rank	Position in the trending list
🔍 term	The trending search query
🏷️ category	Category (e.g. Sports, Technology, Entertainment)
📈 trend_volume	Formatted search volume (e.g. "500K+", "1M+")
🔢 trend_volume_raw	Raw numeric volume for sorting & analysis (e.g. 500000)
🟢 is_active	Boolean indicating if the trend is currently active (true) or finished (false)
📅 trend_timeframe	Object containing start and end UTC timestamps of the trend
🔗 related_terms	Associated search queries
🌍 geo	Country or Region code (e.g. US, FR-75, US-CA)
🗣️ language	Language used for the request
⏱️ timeframe_hours	Time window (4, 24, 48, or 168 hours)
🔗 trends_url	Direct link to Google Trends for this query
🕐 scraped_at	Timestamp of extraction

🚀 How to scrape Google Trends trending searches

1. Create a free Apify account
2. Open Google Trends Trending Now Scraper
3. Select your Country or Region (e.g. United States, California, France, Paris)
4. Choose a time period (Past 4h, 24h, 48h, or 7 days)
5. Optionally filter by Categories (Sports, Tech, Entertainment…)
6. Optionally filter by Trend Status (Active, Ended, All)
7. Click Start and wait a few seconds
8. Download your data in JSON, CSV, Excel, XML, or HTML

That's it, no coding required. Each trending query appears as its own row in the dataset.

⬇️ Input example

{
    "geo": "US",
    "timeframe": "24",
    "categories": [],
    "trendStatus": "all",
    "maxItems": null,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}

Parameter	Type	Default	Description
geo	string	"US"	Country or Region code (US, FR, US-CA, FR-75, etc.)
timeframe	string	"24"	Time window: 4, 24, 48, or 168 hours
categories	array	[]	Filter by category IDs (empty = all categories)
trendStatus	string	"all"	Filter by trend activity: all, active, or ended
maxItems	integer	unlimited	Max results to return. Leave empty for all available
proxyConfiguration	object	Apify Auto	Proxy settings

Available categories

ID	Category	ID	Category
1	Autos & Vehicles	11	Other
2	Beauty & Fashion	13	Pets & Animals
3	Business & Finance	14	Politics
4	Entertainment	15	Science
5	Food & Drink	16	Shopping
6	Games	17	Sports
7	Health	18	Technology
8	Hobbies & Leisure	19	Travel & Transportation
9	Jobs & Education	20	Climate
10	Law & Government

⬆️ Output example

Each trending search is an individual item in the dataset. Here is an example of an ended trend:

{
    "rank": 1,
    "term": "Champions League",
    "category": "Sports",
    "trend_volume": "500K+",
    "trend_volume_raw": 500000,
    "is_active": false,
    "trend_timeframe": {
        "start": "2026-06-22 19:40:00 UTC",
        "end": "2026-06-23 12:00:00 UTC"
    },
    "related_terms": [
        "Champions League results",
        "Champions League draw",
        "UEFA Champions League"
    ],
    "geo": "US",
    "language": "en-US",
    "timeframe_hours": "24",
    "trends_url": "https://trends.google.com/trends/explore?geo=US&q=Champions+League&hl=en-US",
    "scraped_at": "2026-06-23 15:30:00"
}

(Note: If a trend is still active, is_active will be true and the end value inside trend_timeframe will be null).

💡 Use cases for Google Trends trending data

🔍 SEO & Content Strategy: Discover what people are searching for right now and create timely content that ranks.

📊 Market Research: Track emerging trends across categories and regions to identify business opportunities.

📰 News & Media Monitoring: Stay ahead of breaking news by monitoring trending searches in real-time.

📈 Social Media Marketing: Align your social content with what's trending to maximize engagement.

🤖 AI & Data Pipelines: Feed trending data into your ML models, chatbots, or automated reporting systems.

🌍 Hyper-local Intelligence: Compare trending topics between different states or regions to spot local phenomenons.

🔗 Integrations

Connect this scraper to your favorite tools and automate your trend monitoring:

• ⚡ Make (Integromat): Apify + Make Integration
• 🔄 N8N: Apify + N8N Integration
• 📊 Google Sheets: Export trending searches directly to a spreadsheet.
• 🤖 MCP (AI Agents): Apify MCP Server
• 🔧 Zapier, Slack, Airbyte, GitHub: See all integrations

You can also use the api to run this Actor programmatically from Python, Node.js, or any HTTP client. Schedule runs hourly, daily, or weekly to automatically track trending changes over time.

💡 Pro tips

• Track hyper-local trends: You can go deeper than just countries. Select specific regions (like US states or French departments) to see exactly what's trending in a local area.
• Filter out the noise: Use the trendStatus parameter set to active to only catch trends that are happening right now, or ended to analyze past spikes.
• Leave maxItems empty to get all available trending searches (typically 200-500+ items per country).
• Use the trend_volume_raw field for accurate numeric sorting and filtering in your data pipeline.
• Combine with Google Sheets integration to maintain a live trending dashboard.

❓ FAQ

Is there a Google Trends API for trending searches?

Google does not offer an official public API for Google Trends data. This Actor serves as a reliable API alternative that extracts trending searches directly from Google Trends' internal data endpoints. Use it via the api for full programmatic access.

How often is the trending data updated?

Google Trends updates trending searches continuously. You can run this Actor as frequently as you need. For real-time monitoring, schedule it every hour or every 4 hours.

Can I use this data with Python?

Yes! Use the apify-client api/client/python to run this Actor and retrieve results programmatically.

How many results can I get per run?

It depends on the region and timeframe. Typically, Google Trends returns 200 to 500+ trending searches per country. Use maxItems to limit the results if needed, or leave it empty to get everything available.

🤝 Support

Need help or have a feature request? We'd love to hear from you!

• 🐛 Found a bug? Feature request? → Open an issue in the Issues tab