This document outlines the functionality and characteristics of the Call Serp API node, which enables advanced Google searches with comprehensive result types.

Node Inputs

Required Fields

  • Query: Your search term or phrase
  • Engine: Choose search engine type:
    • google (default)
    • google_images
    • google_hotels
    • google_events
    • google_news

Optional Fields

  • Results Count: Number of results to return (default: 10)
  • Search Information: Select data types to retrieve:
    • organic_results
    • related_questions
    • knowledge_graph
    • images_results
    • news_results
    • and more

Node Output

  • Selected search information fields appear as individual list outputs
  • Each output contains formatted data based on the type (organic results, images, news, etc.)

Node Functionality

The Call Serp API node performs advanced Google searches using direct Serp API access.

Key features include:

  • Multiple search engine options
  • Comprehensive result type selection
  • Direct API integration
  • Specialized search capabilities
  • Loop Mode support for batch searches

When To Use

The Call Serp API node is particularly valuable for advanced search needs. Common use cases include:

  • Comprehensive Research: Gather multiple types of data in one search
  • Specialized Searches: Access specific data like news or images
  • Data Analysis: Collect structured search data
  • Content Aggregation: Gather various content types

Some specific examples:

  • Collecting product information with images and reviews
  • Gathering news articles with related questions
  • Researching hotels with detailed information
  • Analyzing event data across regions

Example

To research a topic comprehensively:

  • Query: “artificial intelligence trends”
  • Engine: google
  • Search Information selected:
    • organic_results
    • news_results
    • related_questions

Important Considerations:

  • Costs 5 credits per use

In summary, the Call Serp API node provides comprehensive search capabilities with multiple data types, making it ideal for advanced search needs requiring detailed or specialized information.