# Google Sheets Monitoring (`dtrungtin/google-sheets-monitoring`) Actor

This actor will monitor the google sheets file and do actions correspondingly.

- **URL**: https://apify.com/dtrungtin/google-sheets-monitoring.md
- **Developed by:** [Tin](https://apify.com/dtrungtin) (community)
- **Categories:** Automation
- **Stats:** 11 total users, 0 monthly users, 42.3% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $25.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

This actor will monitor the public google sheets file and do actions correspondingly. You should setup the schedules to run this actor periodically.

### Included features

- **Crawling webpage** - Crawling a web page url and filling the extracted texts into corresponding columns.

### How it works

1. Load the public google sheets file and read the web page url in the column `URL`.
2. Crawling the web page using axios + cheerio and extracted texts by CSS selector in the google sheet column headers.
3. Fill the extracted texts into corresponding columns.
4. If the new text are different from the old text, fill the new datetime into the column `UPDATED`.
5. Store the updated rows in the dataset.

### Example

https://docs.google.com/spreadsheets/d/1AzIBAKF-\_Bv2XRv1wT8SU9yUozdAYOP2JgTASjK7vXo

<img src='https://github.com/user-attachments/assets/33ee79ee-c931-4cbc-867e-bdeee5690df4' alt='example google sheet file'>

If you'd like ary more features, please email <dtrungtin@gmail.com> with your request.

# Actor input Schema

## `url` (type: `string`):

The URL of google sheet file you want to monitor the data from.

## `dryRun` (type: `boolean`):

Fetch and compare rows, report results, and leave spreadsheet values, formatting and title unchanged.

## `requestTimeoutSecs` (type: `integer`):

Maximum time per webpage request.

## `maxRetries` (type: `integer`):

Retry timeouts, HTTP 408, 429 and 5xx. Permanent errors such as 402 are reported without retry.

## Actor input object example

```json
{
  "url": "https://docs.google.com/spreadsheets/d/1AzIBAKF-_Bv2XRv1wT8SU9yUozdAYOP2JgTASjK7vXo/edit?gid=0#gid=0",
  "dryRun": false,
  "requestTimeoutSecs": 15,
  "maxRetries": 2
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "url": "https://docs.google.com/spreadsheets/d/1AzIBAKF-_Bv2XRv1wT8SU9yUozdAYOP2JgTASjK7vXo/edit?gid=0#gid=0"
};

// Run the Actor and wait for it to finish
const run = await client.actor("dtrungtin/google-sheets-monitoring").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "url": "https://docs.google.com/spreadsheets/d/1AzIBAKF-_Bv2XRv1wT8SU9yUozdAYOP2JgTASjK7vXo/edit?gid=0#gid=0" }

# Run the Actor and wait for it to finish
run = client.actor("dtrungtin/google-sheets-monitoring").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "url": "https://docs.google.com/spreadsheets/d/1AzIBAKF-_Bv2XRv1wT8SU9yUozdAYOP2JgTASjK7vXo/edit?gid=0#gid=0"
}' |
apify call dtrungtin/google-sheets-monitoring --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dtrungtin/google-sheets-monitoring"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2jdQcxM2G9r1dg3CL/builds/SGCTWaUbHyYJWlapZ/openapi.json