# Launch Library Upcoming sample export

**Use case:** 

Run a ready-made Launch Library Upcoming example on Apify: real output, small default cost, export JSON/CSV/Excel or schedule. Parent Actor: launch-library-upco

## Input

```json
{
  "maxResults": 3
}
```

## Output

```json
{
  "id": {
    "label": "Id",
    "format": "text"
  },
  "pad_id": {
    "label": "Pad Id",
    "format": "text"
  },
  "rocket_id": {
    "label": "Rocket Id",
    "format": "text"
  },
  "status_id": {
    "label": "Status Id",
    "format": "text"
  },
  "mission_id": {
    "label": "Mission Id",
    "format": "text"
  },
  "net_precision_id": {
    "label": "Net Precision Id",
    "format": "text"
  },
  "launch_service_provider_id": {
    "label": "Launch Service Provider Id",
    "format": "text"
  },
  "program_id": {
    "label": "Program Id",
    "format": "text"
  },
  "location_id": {
    "label": "Location Id",
    "format": "text"
  },
  "orbit_id": {
    "label": "Orbit Id",
    "format": "text"
  },
  "configuration_id": {
    "label": "Configuration Id",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "pad_name": {
    "label": "Pad Name",
    "format": "text"
  },
  "status_name": {
    "label": "Status Name",
    "format": "text"
  },
  "source": {
    "label": "Source",
    "format": "text"
  },
  "scraped_at": {
    "label": "Scraped At",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Launch Library Upcoming Scraper](https://apify.com/benthepythondev/launch-library-upcoming-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/benthepythondev/launch-library-upcoming-scraper) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/benthepythondev/launch-library-upcoming-scraper.md

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).