# YouTube Transcript API - RAG Chapters, Summary & Chunks (`webdatalabs/youtube-transcript-rag`) Actor

Turn any YouTube video, playlist, or channel into RAG-ready data: clean transcript, timestamped segments, AI chapters, summary, key quotes, and embeddings-ready chunks. Built for AI agents and RAG pipelines.

- **URL**: https://apify.com/webdatalabs/youtube-transcript-rag.md
- **Developed by:** [WebDataLabs](https://apify.com/webdatalabs) (community)
- **Categories:** AI, Agents, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $7.00 / 1,000 transcript extracteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## YouTube Transcript API - RAG Chapters, Summary & Chunks

**Turn any YouTube video, playlist, or channel into RAG-ready data in one call** — a clean transcript, timestamped segments, AI-generated chapters and summary, key quotes, and embeddings-ready chunks. Built for AI agents, RAG pipelines, researchers, and content teams.

[![Apify Actor](https://img.shields.io/badge/Apify-Actor-0084FF?logo=apify)](https://apify.com)
[![Maintained](https://img.shields.io/badge/Maintained-Yes-success)](https://github.com/webdatalabs)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

Most YouTube transcript scrapers stop at raw captions. **This one ships the structured layer your vector database and LLM actually need** — chapters, summaries, key quotes, and token-bounded chunks with timestamps — so you can go straight from a URL to a knowledge base.

### 🆚 Why choose this YouTube Transcript API?

| Feature | This Actor | Typical transcript scrapers |
|---|---|---|
| **Clean transcript** (filler/sound-cues removed) | ✅ | ⚠️ Sometimes |
| **Timestamped segments** | ✅ | ✅ |
| **AI chapters** (timestamped) | ✅ | ❌ |
| **AI summary** | ✅ | ❌ |
| **Key quotes** (timestamped) | ✅ | ❌ |
| **Embeddings-ready chunks** (token-bounded + timestamps) | ✅ | ❌ |
| **Video, playlist & channel** input (auto-detected) | ✅ | ⚠️ Often video-only |
| **SRT / VTT / JSON / plain-text / chunks** output | ✅ | ⚠️ Limited |
| **100+ languages** | ✅ | ⚠️ Varies |
| **MCP-ready for AI agents** | ✅ | ❌ |

### ✨ Key features

- **🧱 Embeddings-ready chunks** — deterministic, token-bounded (cl100k_base) chunks, each carrying `startTime`/`endTime` so retrieval links back to the exact moment in the video.
- **🤖 AI structuring** — chapters, a concise summary, and timestamped key quotes generated with a fast, low-cost model.
- **🔗 Any URL** — paste a video, a playlist, or a whole channel; playlists and channels auto-expand into their videos (capped by `maxVideos`).
- **🧹 LLM-optimized transcript** — sound cues (`[Music]`, `[Applause]`) and speaker markers stripped for cleaner embeddings.
- **🌍 100+ languages** — pick a preferred caption language; falls back to the best available track and reports the actual language used.
- **📄 Multiple formats** — `text`, `json` (timestamped segments), `srt`, `vtt`, and `chunks` — choose what you need.
- **🔁 Incremental mode** — skip already-processed videos on scheduled re-runs.
- **⚡ Fast & lightweight** — pure HTTP extraction (no browser), with residential proxy support for reliability.

### 🎯 Use cases

#### RAG pipelines & knowledge bases
Ingest a creator's entire channel into a vector store with chunks that are already sized and timestamped.
```json
{
  "urls": ["https://www.youtube.com/@channelname"],
  "outputFormats": ["chunks", "text"],
  "chunkSize": 512,
  "chunkOverlap": 64,
  "maxVideos": 100
}
````

#### AI agents (MCP)

Give an agent a tool that returns chunked, timestamped transcript context for any video.

```json
{
  "urls": ["https://www.youtube.com/watch?v=VIDEO_ID"],
  "includeChapters": true,
  "includeSummary": true,
  "includeKeyQuotes": true
}
```

#### Research & content repurposing

Searchable archives, citable quotes with timestamps, and chapter outlines for long talks and podcasts.

```json
{
  "urls": ["https://www.youtube.com/playlist?list=PLAYLIST_ID"],
  "outputFormats": ["text", "srt"],
  "includeSummary": true
}
```

### 🚀 Quick start

1. **Input** — add one or more YouTube URLs (video, playlist, or channel) or bare video IDs.
2. **Run** — the actor extracts captions, structures them with AI, and chunks them.
3. **Export** — pull results as JSON/CSV via the API or dataset, or feed the chunks straight into your embedding pipeline.

### ⚙️ Input

| Field | Type | Description |
|---|---|---|
| `urls` *(required)* | array | Video / playlist / channel URLs, or bare 11-char video IDs |
| `language` | string | Preferred caption language (ISO code, default `en`); falls back to the best available |
| `outputFormats` | array | Any of `text`, `json`, `srt`, `vtt`, `chunks` (default `text`, `json`, `chunks`) |
| `includeChapters` | boolean | Generate timestamped chapters with AI (default `true`) |
| `includeSummary` | boolean | Generate a concise summary with AI (default `true`) |
| `includeKeyQuotes` | boolean | Extract timestamped key quotes with AI (default `true`) |
| `chunkSize` | integer | Target tokens per chunk (default `512`) |
| `chunkOverlap` | integer | Token overlap between chunks (default `64`) |
| `maxVideos` | integer | Cap on videos per playlist/channel (default `50`) |
| `incrementalMode` | boolean | Skip videos processed in previous runs (default `false`) |
| `proxyConfiguration` | object | Proxy settings — **residential recommended** (default) |

### 📤 Output

One flat record per video:

```json
{
  "videoId": "UF8uR6Z6KLc",
  "url": "https://www.youtube.com/watch?v=UF8uR6Z6KLc",
  "status": "ok",
  "title": "Steve Jobs' 2005 Stanford Commencement Address",
  "channel": { "id": "UC-EnprmCZ3OXyAoG7vjVNCA", "name": "Stanford", "url": "https://www.youtube.com/channel/UC-EnprmCZ3OXyAoG7vjVNCA" },
  "duration": 904,
  "views": 48682246,
  "publishedAt": "Mar 8, 2008",
  "language": "en",
  "transcript": "Thank you. I'm honored to be with you today...",
  "segments": [{ "text": "Thank you.", "start": 8.96, "end": 10.2 }],
  "chapters": [{ "title": "Connecting the Dots", "start": 60.76, "end": 390.84 }],
  "summary": "Steve Jobs shares three stories about life, loss, and following your intuition...",
  "keyQuotes": [{ "quote": "Stay hungry, stay foolish.", "timestamp": 841.68 }],
  "chunks": [{ "text": "Thank you. I'm honored...", "startTime": 8.96, "endTime": 195.56, "tokens": 499 }],
  "srt": null,
  "vtt": null,
  "scrapedAt": "2026-06-29T17:36:59.000Z",
  "schemaVersion": "1.0"
}
```

**Field notes**

- `status` — `ok`, `no_transcript` (captions disabled / none available), or `error` (video unavailable). `statusDetail` explains non-`ok` results.
- `transcript` / `segments` / `srt` / `vtt` are populated only when their format is selected in `outputFormats`.
- `chapters` / `summary` / `keyQuotes` are populated when the matching AI toggle is on.
- `chunks` carry `startTime`/`endTime` and an approximate `tokens` count (cl100k\_base, the OpenAI embeddings tokenizer).

### 💰 Pricing (pay-per-event)

- **`transcript-extracted`** — charged per video that yields a transcript.
- **`ai-structured`** — charged per video when chapters/summary/quotes are generated.

You pay only for videos that produce output — caption-less or unavailable videos are reported and **not billed**. See current per-event prices in the Apify Console when you start a run.

### 🔍 How it works

The actor extracts captions over plain HTTP using maintained innertube clients and adds the structured layer on top — no browser, so it's fast and cheap. YouTube intermittently blocks datacenter IPs, so the actor routes its requests through **residential proxies** by default for reliable results.

### ❓ FAQ

**Which languages are supported?** 100+. Set `language` to your preferred ISO code; if that track isn't available the actor uses the best alternative and reports the actual language in the `language` field.

**Why do some videos return `no_transcript`?** The uploader disabled captions or no caption track exists. These are reported (not billed).

**Does it need proxies?** Residential proxies are the default and recommended — YouTube throttles datacenter IPs, so direct/datacenter runs are unreliable.

**Can it process an entire channel or playlist?** Yes — paste the channel or playlist URL and it auto-expands into individual videos, capped by `maxVideos`.

**Is it good for RAG / embeddings?** That's the point: `chunks` are token-bounded and timestamped, and `transcript` is cleaned of filler so embeddings stay focused.

**Is this legal?** It processes public, non-personal video captions. YouTube's Terms discourage scraping; use responsibly and at your own discretion.

**Can AI agents call it?** Yes — it's exposed via the Apify MCP server, so agents can discover and run it as a tool inside RAG workflows.

### 🔗 Related actors

- **YouTube Comments Harvester** — scrape and analyze YouTube comments
- **YouTube Shorts Scraper** — extract Shorts metadata and analytics
- **Reddit Scraper Pro** — posts, comments, and sentiment analysis

***

*Roadmap: caption translation (`targetLanguage`), Whisper speech-to-text fallback for caption-less videos, and TikTok + podcast support.*

# Actor input Schema

## `urls` (type: `array`):

Video, playlist, or channel URLs (or bare 11-char video IDs). Playlists and channels are auto-expanded into their videos (up to 'Max videos per source').

## `language` (type: `string`):

ISO language code (e.g. 'en', 'es', 'de'). Falls back to the first available track.

## `outputFormats` (type: `array`):

Which serialisations to include per video. Allowed values: text, json, srt, vtt, chunks.

## `includeChapters` (type: `boolean`):

Use AI to generate timestamped chapters. Requires OPENAI\_API\_KEY on the actor.

## `includeSummary` (type: `boolean`):

Use AI to generate a concise summary.

## `includeKeyQuotes` (type: `boolean`):

Use AI to extract notable timestamped quotes.

## `chunkSize` (type: `integer`):

Target token count per embeddings-ready chunk (cl100k\_base).

## `chunkOverlap` (type: `integer`):

Token overlap between consecutive chunks (set 0 to disable).

## `maxVideos` (type: `integer`):

Cap on how many videos each playlist/channel URL expands to.

## `incrementalMode` (type: `boolean`):

Skip videos already processed in previous runs (for scheduled re-runs).

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

Residential proxies strongly recommended — YouTube blocks datacenter IPs.

## Actor input object example

```json
{
  "urls": [
    "https://www.youtube.com/watch?v=dQw4w9WgXcQ",
    "https://www.youtube.com/playlist?list=PL1234",
    "https://www.youtube.com/@SomeChannel"
  ],
  "language": "en",
  "outputFormats": [
    "text",
    "json",
    "chunks"
  ],
  "includeChapters": true,
  "includeSummary": true,
  "includeKeyQuotes": true,
  "chunkSize": 512,
  "chunkOverlap": 64,
  "maxVideos": 50,
  "incrementalMode": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `rag` (type: `string`):

No description

# 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 = {
    "urls": [
        "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
    ],
    "outputFormats": [
        "text",
        "json",
        "chunks"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("webdatalabs/youtube-transcript-rag").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 = {
    "urls": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"],
    "outputFormats": [
        "text",
        "json",
        "chunks",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("webdatalabs/youtube-transcript-rag").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 '{
  "urls": [
    "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
  ],
  "outputFormats": [
    "text",
    "json",
    "chunks"
  ]
}' |
apify call webdatalabs/youtube-transcript-rag --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "YouTube Transcript API - RAG Chapters, Summary & Chunks",
        "description": "Turn any YouTube video, playlist, or channel into RAG-ready data: clean transcript, timestamped segments, AI chapters, summary, key quotes, and embeddings-ready chunks. Built for AI agents and RAG pipelines.",
        "version": "1.0",
        "x-build-id": "aU7JNMYHrSglTW6Ap"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/webdatalabs~youtube-transcript-rag/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-webdatalabs-youtube-transcript-rag",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/webdatalabs~youtube-transcript-rag/runs": {
            "post": {
                "operationId": "runs-sync-webdatalabs-youtube-transcript-rag",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/webdatalabs~youtube-transcript-rag/run-sync": {
            "post": {
                "operationId": "run-sync-webdatalabs-youtube-transcript-rag",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "urls"
                ],
                "properties": {
                    "urls": {
                        "title": "YouTube URLs or video IDs",
                        "type": "array",
                        "description": "Video, playlist, or channel URLs (or bare 11-char video IDs). Playlists and channels are auto-expanded into their videos (up to 'Max videos per source').",
                        "items": {
                            "type": "string"
                        }
                    },
                    "language": {
                        "title": "Preferred caption language",
                        "type": "string",
                        "description": "ISO language code (e.g. 'en', 'es', 'de'). Falls back to the first available track.",
                        "default": "en"
                    },
                    "outputFormats": {
                        "title": "Output formats",
                        "type": "array",
                        "description": "Which serialisations to include per video. Allowed values: text, json, srt, vtt, chunks.",
                        "default": [
                            "text",
                            "json",
                            "chunks"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "includeChapters": {
                        "title": "Generate chapters (AI)",
                        "type": "boolean",
                        "description": "Use AI to generate timestamped chapters. Requires OPENAI_API_KEY on the actor.",
                        "default": true
                    },
                    "includeSummary": {
                        "title": "Generate summary (AI)",
                        "type": "boolean",
                        "description": "Use AI to generate a concise summary.",
                        "default": true
                    },
                    "includeKeyQuotes": {
                        "title": "Extract key quotes (AI)",
                        "type": "boolean",
                        "description": "Use AI to extract notable timestamped quotes.",
                        "default": true
                    },
                    "chunkSize": {
                        "title": "Chunk size (tokens)",
                        "minimum": 128,
                        "maximum": 2048,
                        "type": "integer",
                        "description": "Target token count per embeddings-ready chunk (cl100k_base).",
                        "default": 512
                    },
                    "chunkOverlap": {
                        "title": "Chunk overlap (tokens)",
                        "minimum": 0,
                        "maximum": 512,
                        "type": "integer",
                        "description": "Token overlap between consecutive chunks (set 0 to disable).",
                        "default": 64
                    },
                    "maxVideos": {
                        "title": "Max videos per source",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Cap on how many videos each playlist/channel URL expands to.",
                        "default": 50
                    },
                    "incrementalMode": {
                        "title": "Incremental mode",
                        "type": "boolean",
                        "description": "Skip videos already processed in previous runs (for scheduled re-runs).",
                        "default": false
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Residential proxies strongly recommended — YouTube blocks datacenter IPs.",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ]
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```