Structured scraping
Extract trending keywords from Google Trends
Collect regional trending search terms from Google Trends and return structured keyword data for analysis.
Run this template
Clone just this template, configure Notte, and start the run.
Before running
- Have
NOTTE_API_KEYready. Generate an API key.
Need help? Join the Notte Slack.
Extraction path
- Configurable by country codes (US, GB, IN, DE, etc.), language preference, and stories per region.
- Uses Notte browser sessions and structured scrape with Pydantic validation.
- Uses inline uv script metadata, so no template-specific pyproject.toml is required.
- Creates a Notte browser session.
Query controls
- Session: a Notte-hosted browser used to load Google Trends.
- Scrape: Notte method for extracting structured data from a page with natural language instructions.
- Pydantic schema: validates the extracted trend story records.
Try another target
- Market research and newsroom-style daily briefings across regions.
- Content strategy based on story clusters instead of raw keyword lists.
- Regional comparison for brand, policy, or social listening workflows.
- Parameterize country codes and story counts with CLI arguments.