> ## Documentation Index
> Fetch the complete documentation index at: https://docs.langdock.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Web Search

> Search the internet and retrieve relevant information for fact-checking and research.

<img src="https://mintcdn.com/langdock-34/cWyoB3RsITQmAUnM/images/workflows/nodes/web-search.jpg?fit=max&auto=format&n=cWyoB3RsITQmAUnM&q=85&s=b7970878cd42e3617759d58878da388e" alt="Web Search" width="1920" height="903" data-path="images/workflows/nodes/web-search.jpg" />

## 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.

<Info>
  **Best for**: Fact-checking, current events, market research, finding specific
  information, and gathering context.
</Info>

## 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**

```handlebars theme={null}
{{trigger.output.company_name}} recent news 2024
```

**Automatic Mode**

```text theme={null}
Context: {{trigger.output.customer_message}}
Find: Recent information about the product mentioned
```

**Prompt Mode**

```text theme={null}
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"`                 |

The full response also includes:

* `input`: The search query that was executed
* `error`: Error message if the search failed (only present on failure)

## Accessing Results

Access individual result fields:

```handlebars theme={null}
{{web_search.output[0].title}}
{{web_search.output[0].url}}
{{web_search.output[0].text}}
```

Loop through all results in an Agent node prompt:

```handlebars theme={null}
Here are the search results:
{{#each web_search.output}}
- **{{this.title}}**: {{this.text}}
  URL: {{this.url}}
{{/each}}
```

## Example Use Cases

**Fact Checking**

```text theme={null}
Web Search: {{agent.output.structured.claim}}
→ Agent: Verify claim against search results
→ Condition: Is claim accurate?
```

**Company Research**

```text theme={null}
Web Search: "{{trigger.output.company_name}}" latest news
→ Agent: Summarize key findings
→ Action: Update CRM with insights
```

**Competitive Analysis**

```text theme={null}
Web Search: {{trigger.output.product}} alternatives pricing
→ Agent: Extract pricing information
→ Code: Compare against our pricing
```

## Next Steps

<CardGroup cols={2}>
  <Card title="Agent" icon="brain" href="/en/using-langdock/workflows/nodes/agent-node">
    Analyze search results with AI
  </Card>

  <Card title="HTTP Request" icon="globe" href="/en/using-langdock/workflows/nodes/http-request-node">
    Fetch specific URLs
  </Card>
</CardGroup>