Quick answer
Use SheetZAPI with the Python requests library. Connect your sheet in the dashboard, then call requests.get('https://api.sheetzapi.com/api/v1/d/{sheetId}/rows', headers={'X-API-Key': 'your_key'}).json(). You get a list of dicts keyed by your header row — no gspread, no google-auth, no service account JSON file.
The typical Python path installs gspread and google-auth, creates a service account in Google Cloud, downloads a credentials JSON file, calls gspread.service_account() with the file path, opens the sheet by name or URL, then calls worksheet.get_all_records(). This returns a list of dicts, but requires managing credentials files, scopes, and potential quota errors. It also adds ~20MB of dependencies.
import requests; rows = requests.get('https://api.sheetzapi.com/api/v1/d/{SHEET_ID}/rows', headers={'X-API-Key': 'YOUR_KEY'}).json()['data']. That's it. rows is a list of dicts keyed by your header row. No credentials file, no Google Cloud project, no scope management.
Pass query parameters directly: params = {'_filter': 'status:eq:active', '_sort': '-date', '_limit': 100}; response = requests.get(url, headers=headers, params=params). This translates to ?_filter=status:eq:active&_sort=-date&_limit=100 without string concatenation. All standard filter operators (eq, gt, lt, contains, in) are supported.
POST a dict to append a row: requests.post(url, json={'name': 'Alice', 'score': 95}, headers=headers). PATCH /rows/{rowNumber} with a partial dict to update specific fields. Works in any Python environment — scripts, Flask/Django routes, Jupyter notebooks, AWS Lambda functions.
How do I read Google Sheets in Python without gspread?
Use SheetZAPI. Connect your sheet, then call requests.get with your X-API-Key header. You get a list of dicts — no gspread, no google-auth, no credentials JSON file required.
How do I connect to Google Sheets in Python without a service account file?
With SheetZAPI, you share your sheet with our service account email once. Your Python code only needs your SheetZAPI API key — no JSON credentials file to manage or deploy.
Can I use Google Sheets as a database in Python?
Yes. SheetZAPI gives you full CRUD (GET, POST, PATCH, DELETE) over your sheet rows via REST. Use it as a lightweight database for prototypes, scripts, and internal tools.
Does SheetZAPI work in Jupyter notebooks?
Yes. Any environment that can make HTTP requests works — scripts, notebooks, Flask, Django, FastAPI, Lambda, and Cloud Functions.
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