Title

Feat: Add JSONPath Query Support for Dynamic JSON Data Extraction.

Type

New Feature

Description

This feature will allow users to input a JSON object and specify a JSONPath expression to extract specific data points efficiently.

Key Features:

JSON Input: Users can provide JSON data to be queried.
JSONPath Query: A field to enter JSONPath expressions for dynamic filtering.
Query Results: Extracted data will be displayed based on the query provided.
Error Handling: Gracefully handles invalid JSON or malformed JSONPath queries, ensuring reliability.

Use Case

Dynamic JSON Data Extraction with JSONPath

Use Case Overview

A developer is working with a JSON response from an API and needs to extract specific data points dynamically. Instead of manually traversing the JSON structure or writing custom code for each query, the developer can use the JSONPath feature to streamline the process.

Example Workflow

Input JSON

The developer provides a JSON object, such as:

{
  "store": {
    "book": [
      {"category": "fiction", "title": "Book A", "price": 10.99},
      {"category": "non-fiction", "title": "Book B", "price": 12.99}
    ],
    "bicycle": {"color": "red", "price": 19.99}
  }
}

JSONPath Query

The developer specifies a query to extract all book titles:

$.store.book[*].title

Result

The system processes the query and returns the following result:

["Book A", "Book B"]

Benefits

Efficiency: The developer quickly extracts the required data without custom logic.
Flexibility: Queries can be adjusted dynamically for different parts of the JSON.
Error Handling: Malformed queries or invalid JSON inputs are gracefully managed.

Conclusion

This use case demonstrates how JSONPath functionality simplifies working with structured JSON data, making it a valuable tool for developers.

Implementation Plan

No response

langflow-ai / langflow

Feat: Add JSONPath Query Support for Dynamic JSON Data Extraction. #4965