Hey there! Great question—you absolutely can read a Google Spreadsheet using just its URL without needing credential.json or client secrets. The key is setting up your sheet for public access first, then using one of two straightforward methods to pull the data. Let's break it down:

First: Configure Your Sheet for Public Access #

Before you can pull data without credentials, your sheet needs to be publicly viewable:

• Open your Google Spreadsheet.
• Click the Share button in the top-right corner.
• Under "General access", set it to Anyone with the link and set the role to Viewer (so others can only read, not edit).
• Save the sharing settings.

Once that's done, pick one of these methods:

Method 1: Use Google's Built-in CSV Export URL #

Google Sheets lets you export any sheet as a CSV directly via a modified URL. This is the simplest approach if you just need raw data.

How to construct the export URL: #

1. Take your sheet's regular URL (looks like this):

   https://docs.google.com/spreadsheets/d/SPREADSHEET_ID/edit#gid=SHEET_ID
   

2. Extract two parts:
   • SPREADSHEET_ID: The long unique string between /d/ and /edit
   • SHEET_ID: The number after gid= (for the default first sheet, this is usually 0)
3. Build the CSV export URL like this:

   https://docs.google.com/spreadsheets/d/SPREADSHEET_ID/export?format=csv&gid=SHEET_ID
   

Example in Python: #

If you're using Python, you can use pandas to read the CSV directly from this URL:

import pandas as pd

# Replace with your actual export URL
csv_export_url = "https://docs.google.com/spreadsheets/d/123abcXYZ.../export?format=csv&gid=0"

# Read the CSV into a DataFrame
df = pd.read_csv(csv_export_url)

# Verify the data
print(df.head())

You can also use tools like curl in the command line to download the CSV:

curl "https://docs.google.com/spreadsheets/d/SPREADSHEET_ID/export?format=csv&gid=SHEET_ID" > sheet_data.csv

Method 2: Use the Google Sheets API with an API Key #

If you need more control (like accessing specific cell ranges, or working with formatted data), you can use the Sheets API with an API key. Note: An API key is not the same as client secrets—it's a simple key for accessing public data.

Steps to get an API key: #

1. Open the Google Cloud Console, create a new project or use an existing one.
2. Search for "Google Sheets API" and enable it for your project.
3. Navigate to the "Credentials" section, click "Create Credentials" and select "API key".
4. Copy the generated API key—you'll use this in your requests.

Example in Python: #

import requests
import pandas as pd

# Replace these with your details
SPREADSHEET_ID = "your_spreadsheet_id_here"
SHEET_NAME = "Sheet1"  # Name of the sheet you want to read
API_KEY = "your_generated_api_key_here"

# Build the API endpoint URL
api_url = f"https://sheets.googleapis.com/v4/spreadsheets/{SPREADSHEET_ID}/values/{SHEET_NAME}?key={API_KEY}"

# Fetch the data
response = requests.get(api_url)
data = response.json()

# Convert the data to a DataFrame (assuming the first row is headers)
if "values" in data:
    df = pd.DataFrame(data["values"][1:], columns=data["values"][0])
    print(df.head())
else:
    print("No data found in the sheet.")

Important Notes: #

• Security: Only use these methods for sheets with non-sensitive data—anyone with the URL or API endpoint can access the data.
• Rate Limits: The API key has rate limits (Google sets default limits for free projects), so keep that in mind if you're pulling data frequently.
• Visibility Changes: If you later set the sheet back to private, both methods will stop working until you re-enable public access.

内容的提问来源于stack exchange，提问作者kislay kashyap