Overview
The Web Search node searches the internet and returns relevant results. Perfect for fact-checking, gathering current information, market research, or finding specific data that changes frequently.
Best for: Fact-checking, current events, market research, finding specific
information, and gathering context.
Configuration
Query: Define the search query (can include variables)
Mode:
- Automatic: AI generates optimal search query
- Manual: You specify exact search terms
- Prompt: Write instructions for AI to generate query
Number of Results: How many results to return (default: 5)
Example Queries
Manual Query
{{trigger.output.company_name}} recent news 2024
Context: {{trigger.output.customer_message}}
Find: Recent information about the product mentioned
Generate a search query to find the latest pricing information for {{trigger.output.product_name}} from competitor websites.
Output Structure
The Web Search node returns an array of search results. Each result contains:
| Field | Type | Description |
|---|
title | string | The title of the search result |
url | string | The URL of the webpage |
text | string | A text snippet/preview of the page content |
type | string | Always "website-preview" |
input: The search query that was executederror: Error message if the search failed (only present on failure)
Accessing Results
Access individual result fields:
{{web_search.output[0].title}}
{{web_search.output[0].url}}
{{web_search.output[0].text}}
Here are the search results:
{{#each web_search.output}}
- **{{this.title}}**: {{this.text}}
URL: {{this.url}}
{{/each}}
Example Use Cases
Fact Checking
Web Search: {{agent.output.structured.claim}}
→ Agent: Verify claim against search results
→ Condition: Is claim accurate?
Web Search: "{{trigger.output.company_name}}" latest news
→ Agent: Summarize key findings
→ Action: Update CRM with insights
Web Search: {{trigger.output.product}} alternatives pricing
→ Agent: Extract pricing information
→ Code: Compare against our pricing
Next Steps
