Automated news monitoring with Claude 4 AI analysis for Discord & Google News
Who's it for
Marketing teams, business intelligence professionals, competitive analysts, and executives who need consistent industry monitoring with AI-powered analysis and automated team distribution via Discord.
What it does
This intelligent workflow automatically monitors multiple industry topics, scrapes and analyzes relevant news articles using Claude AI, and delivers professionally formatted intelligence reports to your Discord channel. The system provides weekly automated monitoring cycles with personalized bot communication and comprehensive content analysis.
How it works
The workflow follows a sophisticated 7-phase automation process: Scheduled Activation: Triggers weekly monitoring cycles (default: Mondays at 9 AM) Query Management: Retrieves monitoring topics from centralized Google Sheets configuration News Discovery: Executes comprehensive Google News searches using SerpAPI for each configured topic Content Extraction: Scrapes full article content from top 3 sources per topic using Firecrawl AI Analysis: Processes scraped content using Claude 4 Sonnet for intelligent synthesis and formatting Discord Optimization: Automatically segments content to comply with Discord's 2000-character message limits Automated Delivery: Posts formatted intelligence reports to Discord channel with branded "Claptrap" bot personality
Requirements
Google Sheets account for query management SerpAPI account for Google News access Firecrawl account for article content extraction Anthropic API access for Claude 4 Sonnet Discord bot with proper channel permissions Scheduled execution capability (cron-based trigger)
How to set up
Step 1: Configure Google Sheets query management
Create monitoring sheet: Set up Google Sheets document with "Query" sheet Add search topics: Include industry keywords, competitor names, and relevant search terms Sheet structure: Simple column format with "Query" header containing search terms Access permissions: Ensure n8n has read access to the Google Sheets document
Step 2: Configure API credentials
Set up the following credentials in n8n: Google Sheets OAuth2: For accessing query configuration sheet SerpAPI: For Google News search functionality with proper rate limits Firecrawl API: For reliable article content extraction across various websites Anthropic API: For Claude 4 Sonnet access with sufficient token limits Discord Bot API: With message posting permissions in target channel
Step 3: Customize scheduling settings
Cron expression: Default set to "0 9 * * 1" (Mondays at 9 AM) Frequency options: Adjust for daily, weekly, or custom monitoring cycles Timezone considerations: Configure according to team's working hours Execution timing: Ensure adequate processing time for multiple topics
Step 4: Configure Discord integration
Set up Discord delivery settings: Guild ID: Target Discord server (currently: 919951151888236595) Channel ID: Specific monitoring channel (currently: 1334455789284364309) Bot permissions: Message posting, embed suppression capabilities Brand personality: Customize "Claptrap" bot messaging style and tone
Step 5: Customize content analysis
Configure AI analysis parameters: Analysis depth: Currently processes top 3 articles per topic Content format: Structured markdown format with consistent styling Language settings: Currently configured for French output (easily customizable) Quality controls: Error handling for inaccessible articles and content
How to customize the workflow
Query management expansion
Topic categories: Organize queries by industry, competitor, or strategic focus areas Keyword optimization: Refine search terms based on result quality and relevance Dynamic queries: Implement time-based or event-triggered query modifications Multi-language support: Add international keyword variations for global monitoring
Advanced content processing
Article quantity: Modify from 3 to more articles per topic based on analysis needs Content filtering: Add quality scoring and relevance filtering for article selection Source preferences: Implement preferred publisher lists or source quality weighting Content enrichment: Add sentiment analysis, trend identification, or competitive positioning
Discord delivery enhancements
Rich formatting: Implement Discord embeds, reactions, or interactive elements Multi-channel distribution: Route different topics to specialized Discord channels Alert levels: Add priority-based messaging for urgent industry developments Archive functionality: Create searchable message threads or database storage
Integration expansions
Slack compatibility: Replace or supplement Discord with Slack notifications Email reports: Add formatted email distribution for executive summaries Database storage: Implement persistent storage for historical analysis and trending API endpoints: Create webhook endpoints for third-party system integration
AI analysis customization
Analysis templates: Create topic-specific analysis frameworks and formatting Competitive focus: Enhance competitor mention detection and analysis depth Trend identification: Implement cross-topic trend analysis and strategic insights Summary levels: Create executive summaries alongside detailed technical analysis
Advanced monitoring features
Intelligent content curation
The system provides sophisticated content management: Relevance scoring: Automatic ranking of articles by topic relevance and publication authority Duplicate detection: Prevents redundant coverage of the same story across different sources Content quality assessment: Filters low-quality or promotional content automatically Source diversity: Ensures coverage from multiple perspectives and publication types
Error handling and reliability
Graceful degradation: Continues processing even if individual articles fail to scrape Retry mechanisms: Automatic retry logic for temporary API failures or network issues Content fallbacks: Uses article snippets when full content extraction fails Notification continuity: Ensures Discord delivery even with partial content processing
Results interpretation
Intelligence report structure
Each monitoring cycle delivers: Topic-specific summaries: Individual analysis for each configured search query Source attribution: Complete citation with publication date, source, and URL Structured formatting: Consistent presentation optimized for quick scanning Professional analysis: AI-generated insights maintaining factual accuracy and business context
Performance analytics
Monitor system effectiveness through: Processing metrics: Track successful article extraction and analysis rates Content quality: Assess relevance and usefulness of delivered intelligence Team engagement: Monitor Discord channel activity and report utilization System reliability: Track execution success rates and error patterns
Use cases
Competitive intelligence
Market monitoring: Track competitor announcements, product launches, and strategic moves Industry trends: Identify emerging technologies, regulatory changes, and market shifts Partnership tracking: Monitor alliance formations, acquisitions, and strategic partnerships Leadership changes: Track executive movements and organizational restructuring
Strategic planning support
Market research: Continuous intelligence gathering for strategic decision-making Risk assessment: Early warning system for industry disruptions and regulatory changes Opportunity identification: Spot emerging markets, technologies, and business opportunities Brand monitoring: Track industry perception and competitive positioning
Team collaboration enhancement
Knowledge sharing: Centralized distribution of relevant industry intelligence Discussion facilitation: Provide common information baseline for strategic discussions Decision support: Deliver timely intelligence for business planning and strategy sessions Competitive awareness: Keep teams informed about competitive landscape changes
Workflow limitations
Language dependency: Currently optimized for French analysis output (easily customizable) Processing capacity: Limited to 3 articles per query (configurable based on API limits) Platform specificity: Configured for Discord delivery (adaptable to other platforms) Scheduling constraints: Fixed weekly schedule (customizable via cron expressions) Content access: Dependent on article accessibility and website compatibility with Firecrawl API dependencies: Requires active subscriptions and proper rate limit management for all integrated services
Automated News Monitoring with AI Analysis for Discord
This n8n workflow automates the process of fetching the latest news, analyzing it with an AI model (Anthropic's Claude), and then posting the summarized and analyzed news to a Discord channel. It also logs the processed news into a Google Sheet for historical tracking.
What it does
This workflow streamlines news consumption and sharing by:
- Triggering on a schedule: The workflow runs periodically (e.g., daily, hourly) to check for new news.
- Fetching news from Google Sheets: It reads a list of news articles (presumably from a previous step not included in this JSON, or a pre-populated list) from a specified Google Sheet.
- Processing news in batches: To manage API limits and processing time, the news articles are processed in batches.
- Analyzing news with AI: For each news article, it uses an Anthropic Chat Model (like Claude) via a Basic LLM Chain to generate a summary or extract key information.
- Aggregating results: After AI analysis, the results for each batch are combined.
- Posting to Discord: The AI-analyzed news summaries are then posted as messages to a designated Discord channel.
- Logging to Google Sheets: The processed news, including the AI analysis, is logged back into a Google Sheet for record-keeping.
Prerequisites/Requirements
To use this workflow, you will need:
- n8n Instance: A running n8n instance to import and execute the workflow.
- Google Sheets Account: Configured credentials for Google Sheets to read and write data. You'll need to specify the Spreadsheet ID and Sheet Name.
- Anthropic API Key: Credentials for Anthropic (e.g., Claude) to power the AI analysis.
- Discord Webhook URL or Bot Token: Configured credentials for Discord to post messages to a channel.
Setup/Usage
- Import the workflow: Copy the provided JSON and import it into your n8n instance.
- Configure Credentials:
- Google Sheets: Set up your Google Sheets credentials.
- Anthropic Chat Model: Configure your Anthropic API key in the "Anthropic Chat Model" node.
- Discord: Set up your Discord credentials (e.g., Bot Token or Webhook URL) in the "Discord" node and specify the channel ID.
- Review Node Configurations:
- Schedule Trigger: Adjust the schedule to your desired frequency (e.g., every hour, once a day).
- Google Sheets (Read): Ensure the "Spreadsheet ID" and "Sheet Name" are correctly set to fetch your news articles.
- Loop Over Items (Split in Batches): Adjust the batch size if needed.
- Code: This node might contain custom JavaScript logic. Review it to understand its purpose and adjust if necessary.
- Basic LLM Chain: Review the prompt used for the AI analysis to ensure it extracts the desired information from your news articles.
- Google Sheets (Write): Ensure the "Spreadsheet ID" and "Sheet Name" are correctly set for logging the processed news.
- Discord: Verify the message content and channel where the news will be posted.
- Activate the workflow: Once configured, activate the workflow to start automated news monitoring.
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