You can access the Dataset → Google Sheets Incremental Sync programmatically from your own 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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 = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("starshaped_bullsnake/dataset-google-sheets-incremental-sync").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Dataset → Google Sheets Incremental Sync API in Python

The Apify API client for Python is the official library that allows you to use Dataset → Google Sheets Incremental Sync API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Dataset → Google Sheets Incremental Sync API in JavaScript

Dataset → Google Sheets Incremental Sync API through CLI

Dataset → Google Sheets Incremental Sync OpenAPI definition

Dataset → Google Sheets Incremental Sync API

Apify Dataset to Google Sheets Sync

zentrafoundry/apify-dataset-to-google-sheets-sync

Send bounded Apify dataset rows to a buyer-controlled Google Sheets webhook endpoint.

Zentra

Google Sheets Integration

solutionssmart/google-sheets-integration

Synchronize Apify datasets and Google Sheets with secure read, append, replace, upsert, delete, and filter operations.

Solutions Smart

Google Sheets Import & Export

cypherstone/google-sheets-import-export

Read a Google Sheet into a dataset (public sheets need no key) and write datasets or JSON back - append, replace, or upsert - using a service account, with no interactive OAuth and automatic rate-limit retries.

Jeff Ralston

Google Sheets Import & Export — Fast, Reliable Sync

surefetch/google-sheets

Import Apify datasets, JSON or CSV into Google Sheets and export sheets back to JSON. Append, replace and read modes. Built for reliability: automatic retries, exponential backoff, no OAuth tokens that expire.

Jonas Eckl

1.0

Google Sheets Import & Export: Service Account, No OAuth

bridgeworks/sheets-bridge

Export any Apify dataset to Google Sheets, or import a sheet range into a dataset. Uses your own Google service account: no OAuth flow, no consent screen, no expiring tokens, no re-authorizing after a week. Append, replace, or upsert rows. Runs on a schedule or as a run integration without breaking.

Bridgeworks

📗 Google Sheets Import & Export — Free Reads, No OAuth

srd836/google-sheets-import-export

Reading is FREE: pull any link-shared Google Sheet into a dataset with zero setup — no API key, no OAuth, no Google Cloud project, no card. Add a service account key to write: append, replace or upsert with deduplication, straight from any Apify dataset. You only pay for rows written — $1 per 1,000.

David González

Bubble Sync

hpix/bubble-sync

Seamlessly sync data from Apify datasets to Bubble.io databases with flexible field mapping and upsert/append modes.

Hpix

Google Sheets Io

devon_gtme/google-sheets-io

Import Apify datasets into Google Sheets, or read sheets back into a dataset - authenticated with a Google service account, so the connection never expires and scheduled pipelines never break. Append, replace or read. Flattens nested objects, stable headers, auto 429 backoff. Free.