Automated Content Strategy with Google Trends, News, Firecrawl & Claude AI

Automated trend monitoring for content strategy

Who's it for Content creators, marketers, and social media managers who want to stay ahead of emerging trends and generate relevant content ideas based on data-driven insights.

What it does This workflow automatically identifies trending topics related to your industry, collects recent news articles about these trends, and generates content suggestions. It transforms raw trend data into actionable editorial opportunities by analyzing search volume growth and current news coverage.

How it works The workflow follows a three-step automation process: Trend Analysis: Examines searches related to your topics and identifies those with the strongest recent growth Article Collection: Searches Google News for current articles about emerging trends and scrapes their full content Content Generation: Creates personalized content suggestions based on collected articles and trend data The system automatically excludes geo-localized searches to provide a global perspective on trends, though this can be customized.

Requirements SerpAPI account (for trend and news data) Firecrawl API key (for scraping article content from Google News results) Google Sheets access AI model API key (for content analysis and recommendations - you can use any LLM provider you prefer)

How to set up

Step 1: Prepare your tracking sheet Duplicate this Google Sheets template Rename your copy and ensure it's accessible

Step 2: Configure API credentials Before running the workflow, set up the following credentials in n8n: SerpAPI: For trend analysis and Google News search Firecrawl API: For scraping article content AI Model API: For content analysis and recommendations (Anthropic Claude, OpenAI GPT, or any other LLM provider) Google Sheets OAuth2: For accessing and updating your tracking spreadsheet

Step 3: Configure your monitoring topics In your Google Sheet "Query" tab:

Query column: Enter the main topics/keywords you want to monitor for trending queries (e.g., "digital marketing", "artificial intelligence", "sustainable fashion") Query to avoid column: Optionally add specific queries you want to exclude from trend analysis (e.g., brand names, irrelevant terms, or overly specific searches that don't match your content strategy)

This step is crucial as these queries will be the foundation for discovering related trending topics.

Step 4: Configure the workflow In the "Get Query" node, paste your duplicated Google Sheets URL in the "Document" field Ensure your Google Sheet contains your monitoring topics in the Query column

Step 5: Customize language and location settings

The workflow is currently configured for French content and France location. You can modify these settings in the SerpAPI nodes: Language (hl): Change from "fr" to your preferred language code Geographic location (geo/gl): Change from "FR" to your target country code Date range: Currently set to "today 1-m" (last month) but can be adjusted

Step 6: Adjust filtering (optional) The "Sorting Queries" node excludes geo-localized queries by default. You can modify the AI agent's instructions to include location-specific queries or change filtering criteria based on your requirements. The system will also automatically exclude any queries you've listed in the "Query to avoid" column.

Step 7: Configure scheduling (optional) The workflow includes an automated scheduler that runs monthly (1st day of each month at 8 AM). You can modify the cron expression 0 8 1 * * in the Schedule Trigger node to change: Frequency (daily, weekly, monthly) Time of execution Day of the month

How to customize the workflow Change trend count: The workflow processes up to 10 related queries per topic but filters them through AI to select the most relevant non-geolocalized ones Adjust article collection: Currently collects exactly 3 news articles per query for analysis Content style: Customize the AI prompts in content generation nodes to match your brand voice Output format: Modify the Google Sheets structure to include additional data points AI model: Replace the Anthropic model with your preferred LLM provider Scraping options: Configure Firecrawl settings to extract specific content elements from articles

Results interpretation For each monitored topic, the workflow generates a separate sheet named by month and topic (e.g., "January Digital Marketing") containing: Data structure (four columns): Query: The trending search term ranked by growth Évolution: Growth percentage over the last month News: Links to 3 relevant news articles Idée: AI-generated content suggestions based on comprehensive article analysis The workflow provides monthly retrospective analysis, helping you identify emerging topics before competitors and optimize your content calendar with high-potential subjects.

Workflow limitations Processes up to 10 related queries per topic with AI filtering Collects exactly 3 news articles per query Results are automatically organized in monthly sheets Requires stable internet connection for API calls