# Planefinder Wanted Locations Scraper (`romy/planefinder-wanted-locations-scraper`) Actor

Planefinder Wanted Locations Scraper fetches the current list of locations where Planefinder is looking for volunteers to host ADS-B radar receivers. No input required — every run returns the current list.

- **URL**: https://apify.com/romy/planefinder-wanted-locations-scraper.md
- **Developed by:** [Romy](https://apify.com/romy) (community)
- **Categories:** Automation, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 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/platform/actors/running/actors-in-store#pay-per-event

## 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

### What does Planefinder Wanted Locations Scraper do?

**Planefinder Wanted Locations Scraper** fetches the current list of locations where [Planefinder](https://planefinder.net) is looking for volunteers to host ADS-B radar receivers. No input required — every run returns the current list.

Results are pushed directly to an Apify dataset.

### Why use Planefinder Wanted Locations Scraper?

- **Coverage gap analysis** — see where Planefinder's ADS-B receiver network has gaps.
- **Volunteer/community outreach** — identify locations that could use a local host.
- **Monitoring** — track how the wanted-locations list changes over time by scheduling runs.

### How to use Planefinder Wanted Locations Scraper

1. Open the Actor and click **Try for free**.
2. Click **Start** — no input needed.
3. Download results from the **Output** tab in JSON, CSV, or Excel format.

### Output

Each item represents one wanted receiver location.

```json
{
    "id": "maldives",
    "lat": 4.1888,
    "lon": 73.5286,
    "reason": "We are in need of good locations to host Plane Finder Radar receivers in the Maldives. See below for more info and get in touch"
}
```

### Data table

| Field | Description |
|-------|-------------|
| `id` | Short identifier/slug for the location |
| `lat` / `lon` | Coordinates of the general area |
| `reason` | Planefinder's explanation of why coverage is needed there |

### Pricing

This Actor uses the **Pay Per Event** model: **a flat $0.05 per run** (plus a negligible one-time actor-start fee) — not per result. The list is short (currently ~70 locations, delivered in full every run) and changes infrequently, so per-item billing wouldn't make sense here; you pay once for the whole current list.

### FAQ and support

This Actor uses Planefinder's public mobile API for informational purposes only.

For bugs or feature requests, open an issue on the Actor's Issues tab. Custom scraping solutions are available on request.

# Actor input Schema

## Actor input object example

```json
{}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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("romy/planefinder-wanted-locations-scraper").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("romy/planefinder-wanted-locations-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 romy/planefinder-wanted-locations-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=romy/planefinder-wanted-locations-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/WEgr5fAf2e1zNWSOg/builds/YHOXlx6OKhHPoFhCz/openapi.json