Block 1 - Anthropic Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatAnthropic - lmChatAnthropic
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
Comprehensive Reuters News Intelligence System With Brightdata & Telegram Alerts A powerful n8n automation workflow that scrapes the latest Reuters news articles using Bright Data's web scraping...
@n8n/n8n-nodes-langchain.lmchatanthropic, n8n-nodes-base.httprequesttool, n8n-nodes-base.formtrigger, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.toolcode, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.code
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by ankitkansaldev.
Original n8n.io sourceA powerful n8n automation workflow that scrapes the latest Reuters news articles using Bright Data's web scraping capabilities and delivers intelligent news summaries directly to your Telegram chat.
This workflow provides an automated news intelligence solution that monitors Reuters for breaking news, analyzes content using Claude AI, and delivers personalized news alerts. Perfect for journalists, researchers, traders, and anyone who needs real-time access to Reuters content with AI-powered insights.
šÆ Form-Based Input: Easy web form to specify keywords and news type preferences
š¤ AI-Powered Processing: Uses Claude 4 Sonnet for intelligent content analysis
š Professional Scraping: Leverages Bright Data's Reuters dataset for reliable data extraction
š± Telegram Integration: Instant notifications delivered to your preferred chat
ā° Smart Waiting: Built-in delays to ensure data processing completion
š Status Monitoring: Automatic scraping status checks with retry logic
š Data Formatting: Clean, structured output with essential article fields
š Scalable Design: Handles multiple articles with batch processing
| Field | Description | Example |
|---|---|---|
| article_title | The main headline of the article | "Global Energy Markets Face Uncertainty" |
| headline | Reuters display headline | "Oil Prices Surge Amid Supply Concerns" |
| description | Article summary/meta description | "Energy markets react to geopolitical tensions..." |
| content | Full article body text | "LONDON (Reuters) - Oil prices jumped 3%..." |
| article_url | Direct link to Reuters article | "https://reuters.com/business/energy/..." |
Set up Bright Data credentials:
Authorization: Bearer YOUR_BRIGHT_DATA_API_KEYConfigure Reuters dataset:
gd_lyptx9h74wtlvpnfuSet up Anthropic credentials:
Update model settings:
claude-sonnet-4-20250514Create Telegram Bot:
/newbot command and follow instructionsGet Chat ID:
https://api.telegram.org/bot{BOT_TOKEN}/getUpdatesSet up Telegram credentials:
Update Telegram node:
DEMO_CHAT_ID with your actual chat IDSet up form trigger:
Test form functionality:
Update HTTP Request nodes:
BRIGHT_DATA_API_KEY with actual credentials referenceConfigure Data Formatting:
Run initial test:
Verify data flow:
Activate workflow:
Access the form:
Fill required fields:
newest: Most recent articles firstoldest: Historical articles first relevance: Best matching articlesSubmit and wait:
The workflow follows this sequence:
Each article includes:
Edit the "HTTP Request" node to adjust:
{
"keyword": "Your search terms",
"sort": "newest|oldest|relevance",
"limit_per_input": "2-10 articles"
}
Update the "Telegram" node message format:
šļø *{{ $json.heading }}*
š {{ $json.description }}
š [Read Full Article]({{ $json.article_url }})
š
Retrieved: {{ $now.format('YYYY-MM-DD HH:mm') }}
Modify the MCP Agent prompt to:
Include database storage by:
1. "Bright Data snapshot failed"
2. "No articles found"
3. "Telegram message not sent"
4. "Workflow timeout"
5. "Data formatting errors"
6. "Claude API errors"
Goal: Track market-moving Reuters financial news
Goal: Monitor industry-specific news for business insights
Goal: Stay informed during breaking news events
Goal: Gather news data for academic research
To handle larger news monitoring needs:
Increase batch processing:
limit_per_input parameterAdd rate limiting:
Database integration:
Expand beyond Telegram:
Slack integration:
Email newsletters:
API endpoints:
Leverage Claude's capabilities further:
Sentiment analysis:
Summarization:
Classification:
ā n8n instance running (self-hosted or cloud)
ā Bright Data account with Reuters dataset access
ā Anthropic API key for Claude access
ā Telegram bot created via @BotFather
ā 20 minutes for complete setup
ā Import Workflow - Copy JSON and import to n8n
ā Configure Bright Data - Set up API credentials and test
ā Configure Claude - Add Anthropic API credentials
ā Setup Telegram - Create bot and get chat ID
ā Update Credentials - Replace all demo values with real ones
ā Test Form - Submit test request and verify flow
ā Check Telegram - Confirm message delivery
ā Activate Workflow - Turn on for production use
Your workflow form URL: https://your-n8n-instance.com/webhook/your-webhook-id
This workflow provides a solid foundation for automated Reuters news intelligence. Customize it to fit your specific monitoring needs and use cases. The combination of Bright Data's reliable scraping, Claude's AI analysis, and Telegram's instant delivery creates a powerful news monitoring solution.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Scrape Reuters news & send AI summaries with Brightdata, Claude 4 & Telegram |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | Market Research, AI Summarization |
| Author | ankitkansaldev |
| Published | 28 Jun 2025 |
Use the JSON export at /data/workflows/5431/5431.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Comprehensive Reuters News Intelligence System With Brightdata & Telegram Alerts A powerful n8n automation workflow that scrapes the latest Reuters news articles using Bright Data's web scraping...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.