Create a public Google Sheet scraper

Creating a public Google Sheet scraper involves extracting data from a publicly shared Google Sheet without requiring authentication. This can be done in several ways, but the most common method is to use the Google Sheets API or fetch the data directly if the sheet is published to the web in a CSV or JSON format.

Below is a simple example of how to create a scraper for a public Google Sheet using Python. This script fetches data from a publicly published Google Sheet CSV export URL.

How to get the CSV export URL of a public Google Sheet

1. Open the Google Sheet you want to scrape.

2. Click on File > Publish to the web.

3. Select Link, choose Comma-separated values (.csv) format, and publish it.

4. You will get a URL like:

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https://docs.google.com/spreadsheets/d/e/{DOC_ID}/pub?output=csv

Use that URL in your scraper.

Python script to scrape public Google Sheet CSV

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import requests
import csv
from io import StringIO

def scrape_public_google_sheet(csv_url):
    # Fetch CSV data from the public Google Sheet URL
    response = requests.get(csv_url)
    response.raise_for_status()  # Raise error if request failed
    
    # Parse CSV data
    csv_data = response.text
    f = StringIO(csv_data)
    reader = csv.reader(f)
    
    # Convert CSV rows to list of dictionaries (optional: using headers)
    rows = list(reader)
    if not rows:
        return []
    
    headers = rows[0]
    data = [dict(zip(headers, row)) for row in rows[1:]]
    
    return data

# Example usage
csv_url = "https://docs.google.com/spreadsheets/d/e/YOUR_DOC_ID/pub?output=csv"
data = scrape_public_google_sheet(csv_url)
for row in data:
    print(row)

Explanation

• The script fetches the CSV export of the Google Sheet.

• Uses csv module to parse CSV text.

• Converts rows to a list of dictionaries using the header row as keys.

• Prints each row as a dictionary.

If you want a scraper in JavaScript for the browser or Node.js, or in another language, just ask.