How do I extract questions from a JSON response?

You need to extract the JSON string that contains all the questions from the node path:

response.text

Since the JSON output is an array, you would first access the first (or appropriate) element, then its "response" object's "text" property. This property is a string that itself is a JSON object where each key (e.g., "question1", "question2", etc.) holds a question. Since the number of questions can vary, you’d parse this string into an object and then iterate over its keys.

Below are examples in both JavaScript and Python.

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JavaScript Example

JSCopied
// Given JSON data
const data = [
  {
    "response": {
      "text": "{\n  \"question1\": \"What is the main topic of the transcript?\",\n  \"question2\": \"Are there any key details or events mentioned?\",\n  \"question3\": \"What is the tone or sentiment expressed in the transcript?\",\n  \"question4\": \"Who are the main participants in the conversation?\",\n  \"question5\": \"What are the primary arguments or points being made?\",\n  \"question6\": \"Is there any notable vocabulary or language used?\",\n  \"question7\": \"How does the transcript reflect the perspectives of the speakers?\",\n  \"question8\": \"Are there any conclusions or takeaways from the transcript?\"\n}"
    }
  }
];

// Step 1: Extract the JSON string containing the questions.
const questionsStr = data[0].response.text;

// Step 2: Parse the string to get a JavaScript object.
const questionsObj = JSON.parse(questionsStr);

// Step 3: Iterate over the questions.
for (const key in questionsObj) {
  if (questionsObj.hasOwnProperty(key)) {
    console.log(key + ": " + questionsObj[key]);
  }
}

---

Python Example

PYTHONCopied
import json

# Given JSON data
data = [
    {
        "response": {
            "text": "{\n  \"question1\": \"What is the main topic of the transcript?\",\n  \"question2\": \"Are there any key details or events mentioned?\",\n  \"question3\": \"What is the tone or sentiment expressed in the transcript?\",\n  \"question4\": \"Who are the main participants in the conversation?\",\n  \"question5\": \"What are the primary arguments or points being made?\",\n  \"question6\": \"Is there any notable vocabulary or language used?\",\n  \"question7\": \"How does the transcript reflect the perspectives of the speakers?\",\n  \"question8\": \"Are there any conclusions or takeaways from the transcript?\"\n}"
        }
    }
]

# Step 1: Extract the JSON string containing the questions.
questions_str = data[0]['response']['text']

# Step 2: Parse the string to get a Python dictionary.
questions_dict = json.loads(questions_str)

# Step 3: Iterate over the dictionary to display each question.
for question_key, question_text in questions_dict.items():
    print(f"{question_key}: {question_text}")

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Summary

• Extract node: Access the response.text node to get the JSON string containing all the questions.
• Parsing: Convert the extracted string into a JSON object (or dictionary) using the appropriate parsing method.
• Iteration: Dynamically iterate through the resulting object to handle an unspecified number of questions.

This approach ensures that even if there are more or fewer questions in the future, your code will correctly extract and process them.