# greenhouse-figma-trial (`rozlindazhou/greenhouse-figma-trial`) Actor

Experimental Figma job data from one public Greenhouse board, capped at 20 records. Cloud-tested with 20 results. Independent, not affiliated with Figma or Greenhouse. Source update time is not publication time; cross-day changes are unverified.

- **URL**: https://apify.com/rozlindazhou/greenhouse-figma-trial.md
- **Developed by:** [Job Data Lab](https://apify.com/rozlindazhou) (community)
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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?

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

## Figma Greenhouse Job Data — Trial

An experimental single-source Actor that returns up to 20 public job records from Figma’s Greenhouse board. Independent project: not affiliated with or endorsed by Figma or Greenhouse.

### Usage

Set `maxItems` to an integer from 1 to 20 (default 20), then run. The source and company are fixed; arbitrary boards and URLs are not supported.

### Output

The dataset contains `source`, `company`, `board_token`, `source_id`, `title`, `location`, `original_url`, `source_api_url`, `official_careers_url`, `fetched_at_utc`, `source_updated_at`, and `published_at`.

`source_updated_at` is the source update timestamp, not a publication date. `published_at` is left empty when no reliable publication date is provided. `fetched_at_utc` records retrieval time. No contact harvesting or full job-description copying.

### Verified scope

One Apify cloud build and one run succeeded on 2026-10-26, producing 20 records in about 4 seconds with 128 MB configured memory. This is a point-in-time technical test, not evidence of completeness, ongoing reliability, market demand, or earnings.

### Limitations

Hard cap: 20 records. One fixed public source. No cross-day change detection has been validated; this is not a monitoring or change-alert service. Availability and schema may change. Review the original job page before acting; jobs may close or change.

### Resources and pricing

No Actor rental or per-result fee is configured. Apify platform usage may still consume your account credits under its own plan. Suggested settings: 128 MB, timeout 120 seconds, maximum run cost $0.05. No proxies, external paid services, or user-supplied credentials are required.

### Feedback

Report reproducible problems through this Actor’s Apify Issues tab. Include the run ID and expected behavior, not credentials or personal data.

# Actor input Schema

## `maxItems` (type: `integer`):

1至20；接口一次返回完整列表，本工具只输出最多20条，不抓岗位描述或私人联系人。

## Actor input object example

```json
{
  "maxItems": 20
}
```

# Actor output Schema

## `jobs` (type: `string`):

默认Dataset。最多20条职位事实：原始ID、标题、地点、原始链接、来源API、正式招聘页、抓取时间与来源更新时间。published_at未知留空。

## `runSummary` (type: `string`):

默认键值存储OUTPUT记录，区分抓取模式、历史来源核验时间及本次抓取时间；无收益保证。

# 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("rozlindazhou/greenhouse-figma-trial").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("rozlindazhou/greenhouse-figma-trial").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 rozlindazhou/greenhouse-figma-trial --silent --output-dataset

```

## MCP server setup

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

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/MN6VhYRBDcJPqPT5c/builds/vuIWUEOXHoaWpF1r5/openapi.json