# Source: https://docs.claude.com/en/resources/prompt-library/airport-code-analyst.md

# Airport code analyst

> Find and extract airport codes from text.

> Copy this prompt into our developer [Console](https://console.anthropic.com/dashboard) to try it for yourself!

|        | Content                                                                                                                                                                                                                        |
| ------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| System | Your task is to analyze the provided text and identify any airport codes mentioned within it. Present these airport codes as a list in the order they appear in the text. If no airport codes are found, return an empty list. |
| User   | My next trip involves flying from Seattle to Amsterdam. I'll be spending a few days in Amsterdam before heading to Paris for a connecting flight to Rome.                                                                      |

### Example Output

> Here is the list of airport codes mentioned in the text, in the order they appear:
>
> 1. SEA (Seattle)
> 2. AMS (Amsterdam)
> 3. CDG (Paris)
> 4. FCO (Rome)

### API request

<CodeGroup>
  ```python Python theme={null}
  import anthropic

  client = anthropic.Anthropic(
      # defaults to os.environ.get("ANTHROPIC_API_KEY")
      api_key="my_api_key",
  )
  message = client.messages.create(
      model="claude-sonnet-4-5",
      max_tokens=1000,
      temperature=0,
      system="Your task is to analyze the provided text and identify any airport codes mentioned within it. Present these airport codes as a list in the order they appear in the text. If no airport codes are found, return an empty list.",
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "text",
                      "text": "My next trip involves flying from Seattle to Amsterdam. I'll be spending a few days in Amsterdam before heading to Paris for a connecting flight to Rome."
                  }
              ]
          }
      ]
  )
  print(message.content)

  ```

  ```typescript TypeScript theme={null}
  import Anthropic from "@anthropic-ai/sdk";

  const anthropic = new Anthropic({
    apiKey: "my_api_key", // defaults to process.env["ANTHROPIC_API_KEY"]
  });

  const msg = await anthropic.messages.create({
    model: "claude-sonnet-4-5",
    max_tokens: 1000,
    temperature: 0,
    system: "Your task is to analyze the provided text and identify any airport codes mentioned within it. Present these airport codes as a list in the order they appear in the text. If no airport codes are found, return an empty list.",
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "My next trip involves flying from Seattle to Amsterdam. I'll be spending a few days in Amsterdam before heading to Paris for a connecting flight to Rome."
          }
        ]
      }
    ]
  });
  console.log(msg);

  ```

  ```python AWS Bedrock Python theme={null}
  from anthropic import AnthropicBedrock

  # See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
  # for authentication options
  client = AnthropicBedrock()

  message = client.messages.create(
      model="anthropic.claude-sonnet-4-5-20250929-v1:0",
      max_tokens=1000,
      temperature=0,
      system="Your task is to analyze the provided text and identify any airport codes mentioned within it. Present these airport codes as a list in the order they appear in the text. If no airport codes are found, return an empty list.",
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "text",
                      "text": "My next trip involves flying from Seattle to Amsterdam. I'll be spending a few days in Amsterdam before heading to Paris for a connecting flight to Rome."
                  }
              ]
          }
      ]
  )
  print(message.content)

  ```

  ```typescript AWS Bedrock TypeScript theme={null}
  import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

  // See https://docs.claude.com/claude/reference/claude-on-amazon-bedrock
  // for authentication options
  const client = new AnthropicBedrock();

  const msg = await client.messages.create({
    model: "anthropic.claude-sonnet-4-5-20250929-v1:0",
    max_tokens: 1000,
    temperature: 0,
    system: "Your task is to analyze the provided text and identify any airport codes mentioned within it. Present these airport codes as a list in the order they appear in the text. If no airport codes are found, return an empty list.",
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "My next trip involves flying from Seattle to Amsterdam. I'll be spending a few days in Amsterdam before heading to Paris for a connecting flight to Rome."
          }
        ]
      }
    ]
  });
  console.log(msg);

  ```

  ```python Vertex AI Python theme={null}
  from anthropic import AnthropicVertex

  client = AnthropicVertex()

  message = client.messages.create(
      model="claude-sonnet-4@20250514",
      max_tokens=1000,
      temperature=0,
      system="Your task is to analyze the provided text and identify any airport codes mentioned within it. Present these airport codes as a list in the order they appear in the text. If no airport codes are found, return an empty list.",
      messages=[
          {
              "role": "user",
              "content": [
                  {
                      "type": "text",
                      "text": "My next trip involves flying from Seattle to Amsterdam. I'll be spending a few days in Amsterdam before heading to Paris for a connecting flight to Rome."
                  }
              ]
          }
      ]
  )
  print(message.content)

  ```

  ```typescript Vertex AI TypeScript theme={null}
  import { AnthropicVertex } from '@anthropic-ai/vertex-sdk';

  // Reads from the `CLOUD_ML_REGION` & `ANTHROPIC_VERTEX_PROJECT_ID` environment variables.
  // Additionally goes through the standard `google-auth-library` flow.
  const client = new AnthropicVertex();

  const msg = await client.messages.create({
    model: "claude-sonnet-4@20250514",
    max_tokens: 1000,
    temperature: 0,
    system: "Your task is to analyze the provided text and identify any airport codes mentioned within it. Present these airport codes as a list in the order they appear in the text. If no airport codes are found, return an empty list.",
    messages: [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "My next trip involves flying from Seattle to Amsterdam. I'll be spending a few days in Amsterdam before heading to Paris for a connecting flight to Rome."
          }
        ]
      }
    ]
  });
  console.log(msg);

  ```
</CodeGroup>