Scrape Google Trends with AI

# Scrape Google Trends — SoloStack Skill File
> Drop this file into your SoloStack repo and Claude Code will use it as
> context to run this workflow automatically.
---
## Overview
Extract Google Trends data, search interest over time, related queries, and geographic breakdowns using Apify and Claude Code.
**Apify Actor:** `apify/google-trends-scraper`
**Pricing:** ~$0.50 per 1,000 queries
## Capabilities
1. **Data Extraction** — Pull key data points from Google Trends including profiles, content, and metadata.
2. **Search & Filter** — Search by keywords, categories, or specific URLs to target exactly what you need.
3. **Engagement Metrics** — Capture engagement signals — views, likes, shares, and comments for every item.
4. **Bulk Processing** — Process hundreds or thousands of records in a single run with automatic pagination.
5. **Export & Integration** — Output clean JSON ready for CRM import, analysis, or integration with other tools.
## Pipeline
1. **Define targets** — Specify Google Trends URLs, search terms, or categories to scrape
2. **Run scraper** — Apify actor extracts data, handles pagination and rate limits automatically
3. **Process data** — Clean, deduplicate, and enrich the raw output for analysis
4. **Load into CRM** — Push structured data into Neon database with source attribution
## Use Cases
- **SEO keyword research:** Compare search interest for target keywords over time. Identify seasonal patterns and growing topics.
- **Market timing:** Track when interest in your product category peaks. Time launches and campaigns for maximum visibility.
- **Competitive share of search:** Compare Google search interest between your brand and competitors as a proxy for brand awareness.
- **Content calendar planning:** Identify seasonal content opportunities by analyzing when topics peak in search interest.
## Warnings
- Google Trends shows relative interest, not absolute search volume. Combine with keyword tools for volume data.
- Short time ranges (< 7 days) show hourly data. Longer ranges show weekly or monthly.
- Google Trends data can be noisy for low-volume queries.
## Sample Output
```json
{
  "id": "12345",
  "name": "Sample Record",
  "platform": "Google Trends",
  "url": "https://google-trends.com/sample",
  "dataField1": "value1",
  "dataField2": 42,
  "scrapedAt": "2026-03-25T12:00:00Z"
}
```
Download the complete skill file with full implementation details,
agent prompts, and ready-to-run scripts.