# Developerearthengine Datainfo Extractor (`getdataforme/developerearthengine-datainfo-extractor`) Actor

The DeveloperEarthEngine Datainfo Spider efficiently extracts comprehensive metadata from Earth Engine datasets, ensuring high data quality and fast processing....

- **URL**: https://apify.com/getdataforme/developerearthengine-datainfo-extractor.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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?

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

***

### PART 1: Generate README.md

## DeveloperEarthEngine Datainfo Spider

The DeveloperEarthEngine Datainfo Spider is a powerful tool designed to extract detailed metadata from Earth Engine datasets. It streamlines the process of accessing and understanding dataset attributes, making it invaluable for researchers and developers working with geospatial data.

#### Features

- **Comprehensive Metadata Extraction**: Retrieves all relevant dataset information.
- **High Data Quality**: Ensures accurate and reliable data extraction.
- **Efficient Performance**: Fast processing times for large datasets.
- **User-Friendly Interface**: Easy to configure and use.
- **Versatile Output Formats**: Supports JSON, CSV, and Excel.

#### Input Parameters Table

| Parameter | Type   | Required | Description                                                                 | Example                  |
|-----------|--------|----------|-----------------------------------------------------------------------------|--------------------------|
| datasetId | String | Yes      | The unique identifier for the Earth Engine dataset.                         | "users/earthengine-legacy/assets/..." |

#### Example Usage

```json
// Example Input JSON
{
  "datasetId": "users/earthengine-legacy/assets/projects/developerearthengine/datainfo"
}

// Example Output JSON
{
  "data": {
    "columns": [
      {"name": "actor_id", "type": "string"},
      {"name": "run_id", "type": "string"},
      // Additional columns...
    ],
    "termsOfUse": [
      "These data are considered public domain.",
      "These data are provided by Bureau of Land Management (BLM) \"as is\"..."
    ]
  }
}
```

#### Use Cases

- Market research and analysis
- Competitive intelligence
- Price monitoring
- Content aggregation
- Academic research
- Business automation

#### Installation and Usage

1. Search for "DeveloperEarthEngine Datainfo Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

#### Output Format

The output data includes:

- **Columns**: Metadata about dataset attributes.
- **Terms of Use**: Legal information regarding data usage.
- **Actor ID and Run ID**: Unique identifiers for tracking.

#### Support Section

### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

***

### PART 2: Generate Description (STRICT: 280-295 characters ONLY)

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "Urls": [
    "https://developers.google.com/earth-engine/datasets/catalog/BLM_AIM_v1_TerrADat_TerrestrialAIM"
  ],
  "item_limit": 10
}
```

# 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("getdataforme/developerearthengine-datainfo-extractor").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("getdataforme/developerearthengine-datainfo-extractor").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 getdataforme/developerearthengine-datainfo-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/developerearthengine-datainfo-extractor"
        }
    }
}

```

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/OjvlDf1F7mSKLFbx3/builds/ai8AV6amtcYX18W0b/openapi.json