Google Trends API
Pricing
$1.00 / 1,000 results
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Google Trends API
Scrape Google Trends data without official API. Get interest over time, interest by region, related queries, related topics, trending searches, and keyword suggestions. Supports all filters: geo, timeframe, category, and search property (web/YouTube/news/images/Google Shopping).
Pricing
$1.00 / 1,000 results
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Developer
Mate Papava
Maintained by CommunityActor stats
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2
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1
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2 days ago
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Google Trends Scraper — Apify Actor
Scrape Google Trends data without using the official API. Uses curl_cffi for browser impersonation to bypass rate limits.
Features
- Interest Over Time — Weekly/daily/hourly interest scores (0–100)
- Interest by Region — Breakdown by country or sub-region
- Related Queries — Top and rising related searches
- Related Topics — Top and rising related topics/entities
- Trending Now — What's currently trending in a country
- Trending Daily — Today's trending searches with traffic estimates
- Suggestions — Topic autocomplete for finding precise terms
Filters
| Filter | Options | Description |
|---|---|---|
keywords | Comma-separated (max 5) | Terms to analyze. Use comma for comparison |
geo | ISO country code | US, GB, IN, GE, DE. Empty = worldwide |
timeframe | 1h, 4h, 1d, 7d, 30d, 90d, 12m, 5y, all | Shorter = finer granularity |
category | all, finance, health, sports, news, etc. | 26 categories available |
property | web, youtube, news, images, froogle | Which Google product to search |
Example Input
Compare Python vs JavaScript interest worldwide (12 months)
{"action": "interest_over_time","keywords": "python,javascript","geo": "","timeframe": "12m"}
ChatGPT interest on YouTube in the US (90 days)
{"action": "interest_over_time","keywords": "chatgpt","geo": "US","timeframe": "90d","property": "youtube"}
Interest by US state
{"action": "interest_by_region","keywords": "python","geo": "US","timeframe": "12m"}
Trending searches in Georgia
{"action": "trending_now","geo": "GE"}
Related queries for bitcoin in Finance category
{"action": "related_queries","keywords": "bitcoin","geo": "US","category": "finance"}
Output
Results are pushed to the dataset. Each result contains:
data— The actual data (array of points, regions, queries, etc.)status— "success" or error status_action— Which action was run_input— Echo of the parsed input parameters
Notes
- Trending actions (
trending_now,trending_daily) use Google's RSS feed which is reliable and never rate-limited. - Interest/related actions use the internal Trends API with session management via
curl_cffibrowser impersonation. - Not all keywords have related topics data — this is normal Google Trends behavior.
- Hourly granularity is only available for timeframes of 1d or shorter.