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To extract data from a JSON file for the past 7 days, you need to know the structure of the JSON file and the key fields that contain the date or timestamp information. Once you have this information, you can use a programming language such as Python to read in the JSON file, filter the data by date/time range and output the relevant data to a new file or format. Here is a sample Python code to extract data for the past 7 days from a JSON file:

import json
from datetime import datetime, timedelta

# set the time range for past 7 days
end_date = datetime.now()
start_date = end_date - timedelta(days=7)

# read in the JSON file
with open('data.json', 'r') as f:
    data = json.load(f)

# filter data by date range
filtered_data = []
for record in data:
    record_date = datetime.strptime(record['date'], '%Y-%m-%d %H:%M:%S')
    if start_date <= record_date <= end_date:
        filtered_data.append(record)

# output filtered data to new file or format
with open('filtered_data.json', 'w') as f:
    json.dump(filtered_data, f)

In this code, we use the json module to read in the JSON file and convert it to a Python object. We then loop through each record in the data and use the datetime module to parse the date field and compare it to our time range. If it falls within the past 7 days, we append the record to our filtered_data list. Finally, we output the filtered data to a new JSON file named filtered_data.json.