The definitive Google Trends automation engine with over 10,600+ successful runs. Extract breakout queries, historical interest curves, regional heatmaps, and real-time trending searches without IP bans.
{
"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
}
Built specifically for high-throughput enterprise pipelines with zero credential leakage.
Real-time trends, interest over time (historical), interest by region (sub-regions & cities), related queries, and related topics.
Captures surging search queries marked as Breakout (+5000% growth) before they reach peak mainstream saturation.
Output is automatically normalized into clean rectangular rows, ready for immediate import into Excel, BigQuery, or Power BI.
Built-in residential proxy rotation with zero compute time billing. Only pay for successful events extracted.
Trigger extractions via the official Apify Client or standard REST endpoints.
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"
}
run = client.actor("unitbytes/google-trends-scraper-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"))Libraries like pytrends are severely rate-limited by Google (HTTP 429) within minutes. UnitBytes manages residential proxy rotation and request orchestration to guarantee 99.9% uptime at scale.
Yes. Pass up to 5 comparison terms simultaneously to receive normalized relative search volume curves across all queries.
All official Google timeframes: past hour, past 4 hours, past day, past 7 days, past 30 days, past 90 days, past 12 months, past 5 years, or full history from 2004 to present.
Queries experiencing exponential growth (+5000% increase) are explicitly tagged with Breakout for instant alert triggers.
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Our data engineering team provides private cluster deployments, custom webhook integrations, continuous schema monitoring, and high-frequency delivery directly to BigQuery, Snowflake, or AWS S3.
Start running immediately on UnitBytes Cloud with zero infrastructure setup, or contact our engineering team for dedicated S3/BigQuery delivery pipelines.