Hey there! Since you're already comfortable with Python, let's focus on solutions that leverage your existing skills instead of hunting down third-party storage services. Here are three practical ways to get your JSON data into Google Sheets:

This is the most seamless approach—you can modify your existing Python program to send JSON data straight to Sheets using the Google Sheets API. Here's how to set it up:

Step 1: Set Up Google Cloud Credentials #

• Go to the Google Cloud Console, create a new project, and enable the Google Sheets API.
• Create a service account, download its JSON key file, and save it in your project folder.
• Share your target Google Sheet with the service account's email address (found in the key file) to grant write access.

Step 2: Install Required Libraries #

pip install google-api-python-client oauth2client

Step 3: Python Code to Import JSON #

Adjust this snippet to match your JSON structure (example assumes your JSON is a list of dictionaries):

import json
from googleapiclient.discovery import build
from oauth2client.service_account import ServiceAccountCredentials

# Load your JSON data
with open("your_output.json", "r") as f:
    json_data = json.load(f)

# Convert JSON to a 2D array (compatible with Google Sheets)
# First row = headers, subsequent rows = data values
sheet_rows = [list(json_data[0].keys())]
for entry in json_data:
    sheet_rows.append(list(entry.values()))

# Authenticate with Google Sheets API
SCOPES = ["https://www.googleapis.com/auth/spreadsheets"]
SERVICE_ACCOUNT_KEY = "path-to-your-service-account-key.json"
creds = ServiceAccountCredentials.from_json_keyfile_name(SERVICE_ACCOUNT_KEY, SCOPES)
service = build("sheets", "v4", credentials=creds)

# Write data to your sheet
SPREADSHEET_ID = "your-sheet-id-here"  # Grab this from your Sheet's URL
RANGE = "Sheet1!A1"  # Starting cell for your data

update_request = service.spreadsheets().values().update(
    spreadsheetId=SPREADSHEET_ID,
    range=RANGE,
    valueInputOption="RAW",
    body={"values": sheet_rows}
)
response = update_request.execute()

print(f"Success! Updated {response['updatedCells']} cells.")

If you prefer a simpler, non-automated route, convert your JSON to CSV first—Google Sheets supports direct CSV uploads. Python makes this trivial:

import json
import csv

with open("your_output.json", "r") as f:
    json_data = json.load(f)

# Write to CSV
with open("output.csv", "w", newline="") as csv_file:
    writer = csv.DictWriter(csv_file, fieldnames=json_data[0].keys())
    writer.writeheader()
    writer.writerows(json_data)

Once you have the CSV file, just drag-and-drop it into Google Sheets, or use the "File > Import" option to load it into your target sheet.

If you still want to store your JSON online and sync it to Sheets, use Google Drive as storage and a small Apps Script to pull the data automatically:

1. Upload your JSON file to Google Drive and note its file ID (from the share URL).
2. Open your Google Sheet, go to Extensions > Apps Script.
3. Replace the default code with this snippet (adjust file ID and sheet name as needed):

function syncJSONToSheet() {
  const jsonFileId = "your-json-file-id";
  const sheetName = "Sheet1";
  
  // Fetch JSON from Drive
  const file = DriveApp.getFileById(jsonFileId);
  const jsonString = file.getBlob().getDataAsString();
  const jsonData = JSON.parse(jsonString);
  
  // Clear existing data and write new content
  const sheet = SpreadsheetApp.getActiveSpreadsheet().getSheetByName(sheetName);
  sheet.clearContents();
  
  // Write headers
  const headers = Object.keys(jsonData[0]);
  sheet.getRange(1, 1, 1, headers.length).setValues([headers]);
  
  // Write data rows
  const dataRows = jsonData.map(item => Object.values(item));
  sheet.getRange(2, 1, dataRows.length, dataRows[0].length).setValues(dataRows);
}

4. Set up a time-driven trigger in Apps Script to run this function automatically (e.g., every hour) so your sheet stays in sync with the JSON file.

内容的提问来源于stack exchange，提问作者Keenan B