# Figma file counter (`opesicka/figma-count-files`) Actor

Simple actor that counts the number of files in a given Figma team.

- **URL**: https://apify.com/opesicka/figma-count-files.md
- **Developed by:** [Ondřej Pešička](https://apify.com/opesicka) (community)
- **Categories:** Other
- **Stats:** 6 total users, 0 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

This actor counts files in your Figma team and stores the result in a dataset.

## Input

### Figma Personal access token

To find your personal access token, head over to Figma, click on your avatar, and select Settings. After that, find the `Personal access tokens` section, create a token, and copy it.

For increased security, your token will be encrypted on the Apify platform and no one will have access to it.

### Figma team ID

Finding your team ID is as simple as opening your Figma team in a browser and copying the numbers between `/team/` and `/team name`

Example:

```
 https://www.figma.com/files/team/{Your team ID will be here}/MyTeamName?fuid=123456789
```

## Output

The actor will store data from all runs in one named dataset in your Apify Storage. To find your file count, head over to the link provided in the Log tab or next to the green `Succeeded` chip. You can also find the dataset in [Storage](https://console.apify.com/storage?tab=datasets).

```json
[
    {
        "result": 277,
        "timestamp": "2022-11-07T06:22:43.177Z"
    },
    {
        "result": 278,
        "timestamp": "2022-11-08T06:33:44.985Z"
    },
    {
        "result": 280,
        "timestamp": "2022-11-09T06:33:44.985Z"
    },
    {
        "result": 283,
        "timestamp": "2022-11-10T06:33:44.985Z"
    },
    {
        "result": 287,
        "timestamp": "2022-11-11T06:33:44.985Z"
    },
    {
        "result": 294,
        "timestamp": "2022-11-12T06:33:44.985Z"
    }
]
```

## Schedule

To get the most out of this actor, use the Schedule to count files every day or hour.

# Actor input Schema

## `token` (type: `string`):

To find your token login to Figma, open settings and create one in the Personal access tokens section

## `teamID` (type: `string`):

To obtain a team id, navigate to a team page of a team you are a part of. The team id will be present in the URL after the word team and before your team name.

## Actor input object example

```json
{}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("opesicka/figma-count-files").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("opesicka/figma-count-files").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 '{}' |
apify call opesicka/figma-count-files --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,opesicka/figma-count-files"
        }
    }
}

```

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/2V8DCbKlNbqNqE2QC/builds/dyUTyoANKk46dP3Uw/openapi.json