Google Sheets Import & Export
No credit card required
Google Sheets Import & Export
No credit card required
Import data from datasets or JSON files to Google Sheets. Programmatically process data in Sheets. Easier and faster than the official Google Sheets API and perfect for importing data from scraping.
Do you want to learn more about this Actor?
Get a demoYou can access the Google Sheets Import & Export programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "transformFunction": """// Uncomment this code only if you don't use \"Deduplicate by field\" or \"Deduplicate by equality\"
9// This code behaves as if there was no transform function
10/*({ spreadsheetData, datasetData }) => {
11 return spreadsheetData.concat(datasetData);
12}*/""" }
13
14# Run the Actor and wait for it to finish
15run = client.actor("lukaskrivka/google-sheets").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Fast Google Sheets import and export tool API in Python
The Apify API client for Python is the official library that allows you to use Google Sheets Import & Export API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-client
Other API clients include:
Actor Metrics
52 monthly users
-
30 stars
79% runs succeeded
8.2 hours response time
Created in Jan 2019
Modified 6 months ago