# NPR Transcript Scraper — Fresh Air, Morning Edition & ATC (`scrapersdelight/npr-transcript-scraper`) Actor

Scrape full NPR transcripts — Fresh Air, Morning Edition, All Things Considered & Weekend Edition. Speaker-labeled paragraphs, full text, date, author & audio URL per story, plus a new-transcript monitor with alerts. No login or API key. $2 per 1,000 transcripts.

- **URL**: https://apify.com/scrapersdelight/npr-transcript-scraper.md
- **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community)
- **Categories:** AI, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

## 📻 NPR Transcript Scraper — Fresh Air, Morning Edition & All Things Considered

**Get the full, speaker-labeled transcript of NPR's broadcast stories — no login, no AI transcription. NPR publishes a complete transcript page for nearly every segment of Fresh Air, Morning Edition, All Things Considered and Weekend Edition, and this actor reads it: clean paragraphs, full text, speakers, date, author, section and the MP3 audio URL. Scrape one story, the latest broadcast days of any program, or page the archive back to 1991.**

Because the transcript is already published, there's no speech-to-text compute — it's fast and cheap.

---

### What does it do?

For each story (by program archive crawl or direct URL) it returns:

- 📝 **Full transcript** (plain text + `paragraphs[]`) — straight from npr.org/transcripts
- 🗣️ **Speakers** — the inline labels NPR prints (`LEILA FADEL, HOST`, `JON HAMILTON, BYLINE`, guests)
- 📅 **Broadcast date, published date, author & section**
- 🎧 **Audio URL + duration** (the segment MP3)
- 🚩 **Honest flagging** — stories whose transcript isn't published yet come back `hasTranscript: false`; nothing is synthesized

No ASR, no API key, no timestamps invented (NPR publishes none — output is paragraphs, never SRT).

---

### What data does it extract?

For every story: `storyId`, `title`, `storyUrl`, `transcriptUrl`, `program`, `episodeDate`, `publishedAt`, `author`, `section`, `speakers[]`, `paragraphs[]`, `paragraph_count`, `text`, `audioUrl`, `audioDuration`, `hasTranscript`, `is_new` (monitor), `scraped_at`.

---

### Who is it for?

- ✍️ **Journalists, researchers & students** quoting and searching radio coverage.
- 🤖 **AI / RAG builders** — dense, professionally produced news + interview transcripts, ideal retrieval/training data.
- 📰 **Newsletter writers & media monitors** tracking what NPR said about a topic, daily.
- 🎙️ **Podcast/radio analysts** studying program rundowns and guests.

---

### How to use it (step by step)

1. Click **Try for free**.
2. Pick **programs** (`fresh-air`, `morning-edition`, `all-things-considered`, `weekend-edition-saturday`, `weekend-edition-sunday`) — or paste direct **story/transcript URLs**.
3. Set **Max broadcast days** and **Max transcripts** to size the run (each archive page = 5 broadcast days; archive reaches back to 1991).
4. Click **Start**, open the **Dataset** tab to view/export.
5. *(Optional)* enable **monitorMode** + a **Schedule** to get only NEW transcripts each run, with Slack/webhook/email alerts.

#### Quick start

```json
{ "programs": ["fresh-air"], "maxEpisodes": 5, "maxStories": 10 }
````

#### Direct story lookup

```json
{ "storyUrls": ["https://www.npr.org/transcripts/nx-s1-5849937", "963319470"] }
```

***

### Input

| Field | What it does |
|-------|--------------|
| `programs` | NPR program slugs to crawl (`fresh-air`, `morning-edition`, …) |
| `storyUrls` | direct transcript/story URLs or bare story ids |
| `maxEpisodes` | recent broadcast days per program (0 = no day cap) |
| `maxStories` | hard cap on transcripts fetched per run (0 = unlimited) |
| `oldestDate` | optional `YYYY-MM-DD` floor for archive pagination |
| `includeMissingTranscripts` | also output stories with no transcript yet, flagged |
| `monitorMode`, `alertOnNewTranscript` | recurring new-transcript watcher + alerts |
| `webhookUrl`, `slackWebhookUrl`, `emailRecipients` | alert channels |
| `proxyConfiguration`, `requestConcurrency` | proxy + parallelism |

***

### Output example

```json
{
  "storyId": "nx-s1-5849937",
  "title": "Socioeconomic factors are becoming 'biologically embedded' in children's brains",
  "storyUrl": "https://www.npr.org/2026/06/11/nx-s1-5849937/child-brain-development-stress-sleep-neighborhood-economics",
  "transcriptUrl": "https://www.npr.org/transcripts/nx-s1-5849937",
  "program": "morning-edition",
  "episodeDate": "2026-06-11",
  "publishedAt": "2026-06-11",
  "author": "Jon Hamilton",
  "section": "Science",
  "speakers": ["LEILA FADEL", "JON HAMILTON"],
  "paragraphs": ["LEILA FADEL, HOST:", "New research suggests that the neighborhood a child lives in leaves a lasting imprint on their brain…", "…"],
  "paragraph_count": 18,
  "text": "LEILA FADEL, HOST:\n\nNew research suggests…",
  "audioUrl": "https://ondemand.npr.org/anon.npr-mp3/npr/me/2026/06/…mp3",
  "audioDuration": 228,
  "hasTranscript": true
}
```

Export to **JSON, CSV, Excel, HTML, or RSS**, or fetch via the **Apify API**.

***

### Monitor mode — new-transcript alerts per program

Run on a **Schedule** (e.g. every 6 hours) with `monitorMode: true`: the actor remembers every transcript it has seen (in a named, persistent store) and outputs/alerts **only the new ones**. NPR posts a story's transcript a few hours after broadcast — unseen stories are simply picked up on a later run, never faked.

```json
{ "programs": ["morning-edition", "all-things-considered"], "maxEpisodes": 3, "monitorMode": true, "slackWebhookUrl": "https://hooks.slack.com/…" }
```

***

### How much does it cost?

Pay-per-event — and with **no transcription compute**, it's cheap:

| Event | What it covers | Price |
|-------|----------------|-------|
| `lot-scraped` | each story returned | $0.004 / story |
| `lot-detail-enriched` | each transcript page fetched | $0.004 / story |
| `monitor-run-completed` | each scheduled watch run | $0.05 / run |
| `new-lot-detected` | each new transcript found | $0.02 / transcript |
| `alert-delivered` | each Slack/email/webhook push | $0.005 / alert |

That's about **$8 per 1,000 full transcripts**.

***

### Is it legal to scrape these transcripts?

This actor reads **publicly published** transcript pages on npr.org (NPR even runs a text-only site, text.npr.org). The content is NPR's (copyrighted). Scraping public pages is generally legal, but **you are responsible for your use — review NPR's terms of use and permissions policy; don't republish transcripts you're not licensed to.**

***

### FAQ

**Is there a Whisper/ASR step?**
No — NPR publishes the transcript; this actor reads it. Fast and cheap.

**Which programs work?**
Any show with an npr.org program archive: `fresh-air`, `morning-edition`, `all-things-considered`, `weekend-edition-saturday`, `weekend-edition-sunday` are verified; any `npr.org/programs/{slug}` is accepted.

**Do I get timestamps?**
No — NPR's published transcripts contain none, so the actor outputs paragraphs + full text (never fabricated SRT). You DO get the segment MP3 URL and its duration.

**Do I get speaker labels?**
Yes — NPR prints inline labels (`TERRY GROSS, HOST:`); they're kept in the paragraphs and collected into `speakers[]`.

**A story came back `hasTranscript: false` — why?**
Same-day stories gain their transcript a few hours after broadcast, and a few segments (music interludes etc.) never get one. The actor flags these honestly instead of guessing. In monitor mode they're re-checked next run.

**How far back can I go?**
The program archives paginate to 1991. Use `maxEpisodes: 0` + `oldestDate` (and a generous `maxStories`) for deep backfills.

**Both story-id formats?**
Yes — new `nx-s1-…` ids and legacy numeric ids (e.g. `963319470`) both resolve.

**How do I monitor several programs?**
List them all in `programs` — state is tracked per story id, so there's no cross-program double counting.

**How do I export?**
JSON, CSV, Excel, HTML, or RSS from the Dataset tab, or via the Apify API.

**Does it need a proxy or login?**
No login, no API key. Apify's datacenter proxy (default) is plenty — no anti-bot was observed.

***

### Feedback

Want episode-rundown mode (every segment of a broadcast day), topic filtering, or another NPR show verified? Open an issue on the actor.

# Actor input Schema

## `programs` (type: `array`):

Program slugs whose recent transcripts to scrape: fresh-air, morning-edition, all-things-considered, weekend-edition-saturday, weekend-edition-sunday (any npr.org/programs/{slug} works). Archive URLs are also accepted.

## `storyUrls` (type: `array`):

Direct NPR transcript URLs (https://www.npr.org/transcripts/{storyId}), story URLs, or bare story ids (nx-s1-5849937 or legacy 963319470). Scraped in addition to (or instead of) program archives.

## `maxEpisodes` (type: `integer`):

How many recent broadcast days (episodes) per program to crawl. Each archive page covers 5 days; the archive reaches back to 1991. 0 = no day limit (bound the run with 'Max transcripts' instead).

## `maxStories` (type: `integer`):

Hard cap on transcript pages fetched per run (0 = unlimited).

## `oldestDate` (type: `string`):

Optional YYYY-MM-DD floor — stop paginating once the archive reaches this date.

## `includeMissingTranscripts` (type: `boolean`):

Also output listed stories that have no transcript (yet), flagged hasTranscript:false. Same-day stories often gain their transcript a few hours after broadcast.

## `monitorMode` (type: `boolean`):

Recurring watcher: output/alert ONLY transcripts not seen in previous runs. Pair with a Schedule.

## `alertOnNewTranscript` (type: `boolean`):

In monitor mode, alert for each new transcript.

## `webhookUrl` (type: `string`):

POST endpoint for new-transcript alerts.

## `slackWebhookUrl` (type: `string`):

Slack incoming-webhook URL.

## `emailRecipients` (type: `array`):

Emails for the digest (via apify/send-mail).

## `proxyConfiguration` (type: `object`):

Proxy settings. Datacenter rotation is plenty — no anti-bot observed.

## `requestConcurrency` (type: `integer`):

Max parallel transcript fetches (keep modest — Akamai CDN).

## `diagnose` (type: `boolean`):

Dev only. Logs one parsed transcript, then exits.

## Actor input object example

```json
{
  "programs": [
    "fresh-air"
  ],
  "maxEpisodes": 5,
  "maxStories": 10,
  "includeMissingTranscripts": false,
  "monitorMode": false,
  "alertOnNewTranscript": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "requestConcurrency": 4,
  "diagnose": false
}
```

# Actor output Schema

## `transcripts` (type: `string`):

The dataset of NPR story transcripts (one item per story).

# 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 = {
    "programs": [
        "fresh-air"
    ],
    "maxEpisodes": 5,
    "maxStories": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapersdelight/npr-transcript-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 = {
    "programs": ["fresh-air"],
    "maxEpisodes": 5,
    "maxStories": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapersdelight/npr-transcript-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 '{
  "programs": [
    "fresh-air"
  ],
  "maxEpisodes": 5,
  "maxStories": 10
}' |
apify call scrapersdelight/npr-transcript-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "NPR Transcript Scraper — Fresh Air, Morning Edition & ATC",
        "description": "Scrape full NPR transcripts — Fresh Air, Morning Edition, All Things Considered & Weekend Edition. Speaker-labeled paragraphs, full text, date, author & audio URL per story, plus a new-transcript monitor with alerts. No login or API key. $2 per 1,000 transcripts.",
        "version": "0.1",
        "x-build-id": "9yzmZODZSLknSRrjc"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/scrapersdelight~npr-transcript-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-scrapersdelight-npr-transcript-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/scrapersdelight~npr-transcript-scraper/runs": {
            "post": {
                "operationId": "runs-sync-scrapersdelight-npr-transcript-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/scrapersdelight~npr-transcript-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-scrapersdelight-npr-transcript-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "programs": {
                        "title": "NPR programs",
                        "type": "array",
                        "description": "Program slugs whose recent transcripts to scrape: fresh-air, morning-edition, all-things-considered, weekend-edition-saturday, weekend-edition-sunday (any npr.org/programs/{slug} works). Archive URLs are also accepted.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "storyUrls": {
                        "title": "Story / transcript URLs",
                        "type": "array",
                        "description": "Direct NPR transcript URLs (https://www.npr.org/transcripts/{storyId}), story URLs, or bare story ids (nx-s1-5849937 or legacy 963319470). Scraped in addition to (or instead of) program archives.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxEpisodes": {
                        "title": "Max broadcast days per program",
                        "minimum": 0,
                        "type": "integer",
                        "description": "How many recent broadcast days (episodes) per program to crawl. Each archive page covers 5 days; the archive reaches back to 1991. 0 = no day limit (bound the run with 'Max transcripts' instead)."
                    },
                    "maxStories": {
                        "title": "Max transcripts per run",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Hard cap on transcript pages fetched per run (0 = unlimited).",
                        "default": 50
                    },
                    "oldestDate": {
                        "title": "Oldest broadcast date",
                        "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                        "type": "string",
                        "description": "Optional YYYY-MM-DD floor — stop paginating once the archive reaches this date."
                    },
                    "includeMissingTranscripts": {
                        "title": "Include stories without transcripts",
                        "type": "boolean",
                        "description": "Also output listed stories that have no transcript (yet), flagged hasTranscript:false. Same-day stories often gain their transcript a few hours after broadcast.",
                        "default": false
                    },
                    "monitorMode": {
                        "title": "Monitor mode (new-transcript watcher)",
                        "type": "boolean",
                        "description": "Recurring watcher: output/alert ONLY transcripts not seen in previous runs. Pair with a Schedule.",
                        "default": false
                    },
                    "alertOnNewTranscript": {
                        "title": "Alert on new transcripts",
                        "type": "boolean",
                        "description": "In monitor mode, alert for each new transcript.",
                        "default": true
                    },
                    "webhookUrl": {
                        "title": "Webhook URL",
                        "type": "string",
                        "description": "POST endpoint for new-transcript alerts."
                    },
                    "slackWebhookUrl": {
                        "title": "Slack webhook URL",
                        "type": "string",
                        "description": "Slack incoming-webhook URL."
                    },
                    "emailRecipients": {
                        "title": "Email recipients",
                        "type": "array",
                        "description": "Emails for the digest (via apify/send-mail).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "proxyConfiguration": {
                        "title": "Proxy",
                        "type": "object",
                        "description": "Proxy settings. Datacenter rotation is plenty — no anti-bot observed.",
                        "default": {
                            "useApifyProxy": true
                        }
                    },
                    "requestConcurrency": {
                        "title": "Request concurrency",
                        "minimum": 1,
                        "maximum": 6,
                        "type": "integer",
                        "description": "Max parallel transcript fetches (keep modest — Akamai CDN).",
                        "default": 4
                    },
                    "diagnose": {
                        "title": "Diagnostic mode (dev)",
                        "type": "boolean",
                        "description": "Dev only. Logs one parsed transcript, then exits.",
                        "default": false
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```