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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

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_cffi browser 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.