# Export GraphQL list results to a table (Rick and Morty example)

**Use case:** 

Runs one public GraphQL query (Rick and Morty characters, no login) and turns the 5 returned items into table rows with id, name, status and species. Swap the endpoint, query and data path to export a list from your own GraphQL API.

## Input

```json
{
  "endpoint": "https://rickandmortyapi.com/graphql",
  "query": "{ characters { results { id name status species } } }",
  "dataPath": "data.characters.results",
  "introspect": false,
  "maxRecords": 5
}
```

## Output

```json
{
  "_endpoint": {
    "label": "Endpoint",
    "format": "string"
  },
  "_dataPath": {
    "label": "Data path",
    "format": "string"
  },
  "_index": {
    "label": "Row #",
    "format": "integer"
  },
  "name": {
    "label": "Type name (introspection)",
    "format": "string"
  },
  "kind": {
    "label": "Type kind (introspection)",
    "format": "string"
  },
  "fieldCount": {
    "label": "Field count (introspection)",
    "format": "integer"
  },
  "raw": {
    "label": "Raw object",
    "format": "object"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The GraphQL Endpoint Extractor Actor is ready to run with the inputs already set for "Export GraphQL list results to a table (Rick and Morty example)". [Sign up or log in](https://console.apify.com/create-task-from-example/LbnI3BUCLQaRDcQRQ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Export GraphQL list results to a table (Rick and Morty example)" task

The GraphQL Endpoint Extractor Actor will start running based on the input automatically. You can also change all the input fields, like graphql endpoint url, graphql query, and more, to match your specific use case.

### 3. Receive the "Export GraphQL list results to a table (Rick and Morty example)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as endpoint, data path, row #, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Export GraphQL list results to a table (Rick and Morty example)" task via API](https://apify.com/datamule/graphql-endpoint-extractor.md).

## About this Actor

This example demonstrates how to use [GraphQL Endpoint Extractor](https://apify.com/datamule/graphql-endpoint-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datamule/graphql-endpoint-extractor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/datamule/graphql-endpoint-extractor.md

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`).