Google Trends Scraper API: Trending, Regions & Queries
Fast & Cheap ($0.30/1k): Monitor & query Trending Now, Interest Over Time, Regions, Breakout Queries & Topics. Web, YouTube & Shopping, bulk 100 keywords & flat JSON for MCP.
{
"scrape_type": "interest_by_region",
"event_index": 1,
"error": false,
"keyword": "Coffee",
"geo": "US-NY-501",
"geoName": "New York NY",
"value": 100,
"max_value_index": 0
}
Features
What the Google Trends Scraper API: Trending, Regions & Queries Extracts
5 Complete Endpoints in One Engine
Real-time trends, interest over time (historical), interest by region (sub-regions & cities), related queries, and related topics.
Breakout Keyword Detection
Captures surging search queries marked as Breakout (+5000% growth) before they reach peak mainstream saturation.
Flat Tabular CSV & Google Sheets Ready
Output is automatically normalized into clean rectangular rows, ready for immediate import into Excel, BigQuery, or Power BI.
Zero Compute Fees (PPE)
Built-in residential proxy rotation with zero compute time billing. Only pay for successful events extracted.
Integration
Run It From Python or n8n
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
"keywords": ["OpenAI", "ChatGPT"],
"custom_timeframe": "2023-01-01 2023-12-31",
"common_geo": "US",
"scrape_type": "all",
"compare_keywords": True,
"gprop": "web"
}
run = client.actor("unitbytes/google-trends-api").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item.get("geoName"), item.get("keyword"), item.get("value"))n8n Workflow Template
Schedule this scraper and send results to Google Sheets, Airtable, or Slack.
FAQ
Frequently Asked Questions
Q: How is Google Trends API formatted for BI dashboards and SQL?
Unlike nested raw widgets, Google Trends API flattens every time-series point, regional geo-score, and Breakout query into clean, root-level rows ready for BigQuery, Snowflake, Google Sheets, and n8n.
Q: What timeframes and granularities are supported?
Supports real-time minute/hourly windows (now 1-H, now 4-H, now 1-d, now 7-d), 30/90-day windows, 12-month and 5-year curves, all-time 2004–present history, and custom YYYY-MM-DD date ranges.
Q: Does it support YouTube, Google Shopping, News, and Image Trends?
Yes. Set the property parameter to web (default), youtube, froogle (Google Shopping), news, or images across 100+ country and metro codes.
Q: How fast does the API respond for automated pipelines?
Typical runs complete in 2 to 5 seconds with zero browser startup overhead, costing $0.00045 per record ($0.45 per 1,000 records).
PyTrends Is Dead (HTTP 429): Google Trends API Pricing & 2026 Alternatives ($0.30/1K)
Step-by-step guide with pricing and Python examples.
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Prefer Not to Run It Yourself?
Tell us what you need from Google Trends Scraper API: Trending, Regions & Queries and we'll deliver a clean Excel/CSV file. One-time datasets from $99, custom scrapers from $299. We reply within 48 hours.