Google Trends Scraper
Interest over time, regional breakdown, and related queries
What it does
Reliable Google Trends data as structured JSON: interest over time, geographic breakdown by region, related queries, and rising topics. Failed results are never charged. Works in Claude, ChatGPT, and any MCP-compatible AI agent.
Built in
- ✓ Interest over time by keyword and date range
- ✓ Geographic breakdown by region and subregion
- ✓ Related queries and rising topics
- ✓ Compare up to 5 keywords side by side
- ✓ Failed results are never charged
Guides & tutorials
Google Trends API for Python in 2025: pytrends vs Scraper
Google Trends has no official API. Learn why pytrends breaks, how the SERP API approach works, and the fastest way to pull trend data into Python without getting rate-limited.
pytrends is Dead: The Best Google Trends Alternatives in 2026
pytrends breaks constantly, the maintainer has stepped back, and the official Google Trends API is still not public. The alternatives that actually work in 2026.
Using Google Trends to Find Untapped SEO Opportunities in 2025
A step-by-step framework for using Google Trends data to spot rising keywords before they get competitive.
Using Google Trends Data for Market Research: A Developer's Playbook
How to turn Google Trends data into market research you can act on, from keyword validation to seasonal demand forecasting.
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Common questions
Does Google Trends have an official API? +
No. Google Trends has no official API. The pytrends Python library reverse-engineers the unofficial endpoint and is frequently rate-limited. This scraper handles retries and rate limits automatically.
What data does the scraper return? +
Interest over time (0-100 scale by week or month), interest by region (country and subregion breakdown), related queries (top and rising), and related topics. All as structured JSON.
Can I compare multiple keywords? +
Yes. Google Trends supports up to 5 keywords in a single comparison. The scraper returns normalized values so all keywords are on the same 0-100 scale relative to the highest-interest keyword.
How far back does the historical data go? +
Google Trends data goes back to January 2004. Date resolution changes based on range: daily for ranges under 90 days, weekly for 90 days to 5 years, monthly for 5+ years.
Is this a pytrends alternative? +
Yes. pytrends hits the same unofficial API and gets rate-limited easily. This scraper uses residential proxies and automatic retry logic to handle rate limits without manual intervention.
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