# Telegram Trading Signals Scraper (`stellaboost/telegram-trading-signals-scraper`) Actor

Scrape & parse trading signals from public Telegram channels. Covers Crypto, Forex, Gold (XAU), Silver, Oil, and Indices (US30, NAS100, GER40). Extracts entry, TP, SL & R:R. Auto-discovers channels by keyword. Real-time Webhook delivery.

- **URL**: https://apify.com/stellaboost/telegram-trading-signals-scraper.md
- **Developed by:** [Abdelkader Djilali](https://apify.com/stellaboost) (community)
- **Categories:** Automation, Agents, Developer tools
- **Stats:** 4 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.80 / 1,000 result 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

## Telegram Trading Signals Scraper

> **Discover, scrape, and parse trading signals from public Telegram channels — fully automated, zero account required.**

### What it does

This Actor automatically:
1. **Discovers** relevant Telegram trading channels via keyword search (tgstat.com)
2. **Scrapes** the latest messages from each channel
3. **Parses** each message semantically to extract structured trading signals
4. **Delivers** signals to your app via Webhook and/or saves them to the Apify Dataset

### Markets covered

| Market | Examples |
|--------|---------|
| 🪙 Crypto | BTC/USDT, ETH/USDT, SOL/USDT, CAKE/USDT... |
| 💱 Forex | EUR/USD, GBP/JPY, XAU/USD... |
| 🏅 Commodities | Gold (XAU), Silver (XAG), Oil (WTI/Brent)... |
| 📊 Indices | US30, NAS100, SPX500, GER40, UK100... |

### Output format

Each detected signal is a clean JSON object:

```json
{
  "pair": "XAU/USD",
  "market": "COMMODITY",
  "action": "BUY",
  "entry": [4078, 4092],
  "entryType": "limit",
  "tp": [4148, 4178],
  "sl": 4058,
  "riskReward": "2.3:1",
  "analysis": "Gold defending the $4,075 support level...",
  "confidence": 92,
  "parsedBy": "regex",
  "sourceChannel": "Learn 2 Trade",
  "channelHandle": "learn2tradenews",
  "messageUrl": "https://t.me/learn2tradenews/21668",
  "publishedAt": "2026-06-13T17:04:00+00:00",
  "scrapedAt": "2026-06-21T17:50:20.000Z"
}
````

### Input parameters

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `targets` | Array | `[]` | Manual list of Telegram channel usernames to scrape |
| `limit` | Integer | `10` | Max messages to analyze per channel |
| `enableDiscovery` | Boolean | `false` | Auto-discover channels by keyword |
| `discoveryKeywords` | Array | `[]` | Keywords to search for channels (e.g. `"forex signals"`) |
| `discoveryErrMin` | Integer | `15` | Min engagement rate % for discovered channels |
| `discoverySubsMin` | Integer | `1000` | Min subscriber count for discovered channels |
| `discoveryMaxPerKeyword` | Integer | `20` | Max channels to keep per keyword |
| `saveToDataset` | Boolean | `true` | Save signals to Apify Dataset |
| `saveDiscoveredChannels` | Boolean | `false` | Also save discovered channel list to Dataset |
| `sendToWebhook` | Boolean | `false` | Send each signal via HTTP POST to an external URL |
| `webhookUrl` | String | `null` | Your webhook endpoint URL |
| `webhookSecret` | String | `null` | Token sent in `x-webhook-secret` header |

### Usage examples

#### Mode 1 — Manual channels

```json
{
  "targets": ["learn2tradenews", "ForexAlphaDaily"],
  "limit": 10,
  "saveToDataset": true
}
```

#### Mode 2 — Auto-discovery

```json
{
  "enableDiscovery": true,
  "discoveryKeywords": ["crypto trading signals", "forex signals", "XAU gold signals"],
  "discoveryErrMin": 15,
  "discoverySubsMin": 1000,
  "saveToDataset": true
}
```

#### Mode 3 — Feed your app in real-time

```json
{
  "targets": ["learn2tradenews"],
  "limit": 10,
  "saveToDataset": false,
  "sendToWebhook": true,
  "webhookUrl": "https://your-api.com/signals",
  "webhookSecret": "your-secret-token"
}
```

### How it works

#### Architecture

```
Discovery (tgstat.com)
    ↓ @usernames
Telegram Crawler (t.me/s/username)
    ↓ raw messages
Parser — Level 1 (Regex Engine)
    ↓ fallback
Parser — Level 2 (Positional Heuristics)
    ↓ structured signal
Dataset + Webhook
```

#### Signal parser — 2 levels

**Level 1 — Regex Engine (~70% of signals)**
Handles all known label formats: `Entry/TP/SL`, `Target/Stop`, `Invalidation`, `Buy at`, inline pipe format, numbered TPs, entry zones, European decimal prices, `$`-prefixed prices.

**Level 2 — Positional Heuristics (~20% of signals)**
When no labels are found, infers signal structure from the position of numbers in the text. First price = entry, prices above/below = TPs, outlier = SL.

#### Zero account required

This Actor scrapes the **public web view** of Telegram (`t.me/s/username`) — no Telegram account, no API key, no risk of ban.

### Confidence score

Each signal includes a `confidence` score (0–100):

| Score | Meaning |
|-------|---------|
| 80–100 | All fields present (pair, action, entry, TP, SL, R:R) |
| 60–79 | Most fields present |
| 40–59 | Parsed via heuristic — use with caution |
| < 40 | Low confidence — likely incomplete signal |

### Spam filter

The parser automatically rejects:

- NFT drops, airdrops, mint announcements
- Wallet/AML tool promotions
- Broker advertisements
- Subscription pitches
- Non-trading content

### Performance

- Average run time: ~8 minutes for 58 channels
- Signal conversion rate: ~62%
- Deduplication: built-in (same signal from same channel skipped)
- Timeout handling: failed channels are skipped, crawl continues

### Recommended keywords for discovery

```json
[
  "crypto trading signals",
  "forex signals",
  "BTC signals",
  "XAU gold signals",
  "indices trading signals",
  "forex TP SL daily signals"
]
```

### Pricing

This Actor uses **Pay-per-event** pricing — you only pay for signals actually extracted.

#### Price per 1,000 signals extracted

| Your Apify plan | Price / 1,000 signals | Price / signal |
|----------------|----------------------|----------------|
| Free | $2.00 | $0.002 |
| Starter (Bronze) | $1.90 | $0.0019 |
| Scale (Silver) | $1.85 | $0.0018 |
| Business (Gold) | $1.80 | $0.0017 |

> Platform usage costs are **included** — no extra charges for compute or storage.

#### Typical run cost

| Scenario | Signals/run | Cost/run | Cost/month |
|----------|------------|----------|------------|
| Light (1x/day) | ~36 | ~$0.07 | ~$2.16 |
| Standard (2x/day) | ~36 | ~$0.07 | ~$4.32 |
| Heavy (every hour) | ~36 | ~$0.07 | ~$50 |

#### Free Apify plan

New Apify users receive **$5 free credits/month** — enough for ~69 runs at no cost.

#### Spending limit

You can set a **maximum charge per run** in the Actor input to control your costs. The Actor respects this limit and stops gracefully when reached.

### Legal

#### Terms of use

By using this Actor, you agree to the following terms:

**Data source**
This Actor scrapes only the **public web view** of Telegram channels accessible at `https://t.me/s/username` without authentication. No private data, user accounts, or restricted content is accessed.

**No financial advice**
The trading signals extracted by this Actor are sourced from public Telegram channels and are provided **for informational purposes only**. They do not constitute financial advice, investment recommendations, or solicitation to buy or sell any financial instrument. Always conduct your own research before making any trading decision.

**User responsibility**

- You are solely responsible for how you use the extracted data.
- You are solely responsible for any trading decisions made based on this data.
- The author of this Actor accepts no liability for financial losses resulting from the use of extracted signals.
- Signal accuracy is not guaranteed — always verify signals through independent sources before acting on them.

**Compliance**

- Ensure your use of this Actor complies with Telegram's [Terms of Service](https://telegram.org/tos).
- Ensure your use complies with the laws and regulations of your jurisdiction, including financial regulations applicable to algorithmic trading and signal distribution.
- Do not use this Actor to redistribute or resell trading signals without proper authorization from the original signal providers.

# Actor input Schema

## `targets` (type: `array`):

List of public channel usernames to scrape directly (e.g. learn2tradenews). Leave empty if using Discovery mode.

## `limit` (type: `integer`):

Maximum number of recent messages to analyze per channel.

## `enableDiscovery` (type: `boolean`):

Search for new Telegram channels automatically via keywords instead of (or in addition to) manual targets.

## `discoveryKeywords` (type: `array`):

Keywords to search for channels (e.g. 'forex signals', 'crypto trading'). Used only if Discovery is enabled.

## `discoveryErrMin` (type: `integer`):

Only keep channels with an engagement rate >= this value. Recommended: 15.

## `discoverySubsMin` (type: `integer`):

Only keep channels with at least this number of subscribers. Recommended: 1000.

## `discoveryMaxPerKeyword` (type: `integer`):

Maximum number of channels to retain per keyword after filtering.

## `saveToDataset` (type: `boolean`):

Export all detected signals to the Apify Dataset (visible as a clean table, exportable as CSV/JSON/Excel).

## `saveDiscoveredChannels` (type: `boolean`):

Also push the list of discovered channels (@username, name, subscribers, ERR) into the Dataset.

## `sendToWebhook` (type: `boolean`):

Send each detected signal in real-time via HTTP POST to an external URL (your app, a bot, etc.).

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

URL to POST signals to. Required if 'Send to Webhook' is enabled.

## `webhookSecret` (type: `string`):

Token sent in the x-webhook-secret header to authenticate requests (optional).

## Actor input object example

```json
{
  "targets": [
    "learn2tradenews"
  ],
  "limit": 10,
  "enableDiscovery": false,
  "discoveryKeywords": [
    "forex signals",
    "crypto trading",
    "BTC signals"
  ],
  "discoveryErrMin": 15,
  "discoverySubsMin": 1000,
  "discoveryMaxPerKeyword": 20,
  "saveToDataset": true,
  "saveDiscoveredChannels": false,
  "sendToWebhook": false
}
```

# Actor output Schema

## `signals` (type: `string`):

All extracted trading signals with pair, action, entry, TP, SL, R:R, confidence score and analysis text.

# 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 = {
    "targets": [
        "learn2tradenews"
    ],
    "discoveryKeywords": [
        "forex signals",
        "crypto trading",
        "BTC signals"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("stellaboost/telegram-trading-signals-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 = {
    "targets": ["learn2tradenews"],
    "discoveryKeywords": [
        "forex signals",
        "crypto trading",
        "BTC signals",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("stellaboost/telegram-trading-signals-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 '{
  "targets": [
    "learn2tradenews"
  ],
  "discoveryKeywords": [
    "forex signals",
    "crypto trading",
    "BTC signals"
  ]
}' |
apify call stellaboost/telegram-trading-signals-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Telegram Trading Signals Scraper",
        "description": "Scrape & parse trading signals from public Telegram channels. Covers Crypto, Forex, Gold (XAU), Silver, Oil, and Indices (US30, NAS100, GER40). Extracts entry, TP, SL & R:R. Auto-discovers channels by keyword. Real-time Webhook delivery.",
        "version": "1.0",
        "x-build-id": "Wra6lVfoENEzq4gMC"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/stellaboost~telegram-trading-signals-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-stellaboost-telegram-trading-signals-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/stellaboost~telegram-trading-signals-scraper/runs": {
            "post": {
                "operationId": "runs-sync-stellaboost-telegram-trading-signals-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/stellaboost~telegram-trading-signals-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-stellaboost-telegram-trading-signals-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "targets": {
                        "title": "Telegram channels (manual)",
                        "type": "array",
                        "description": "List of public channel usernames to scrape directly (e.g. learn2tradenews). Leave empty if using Discovery mode.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "limit": {
                        "title": "Messages per channel",
                        "minimum": 1,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Maximum number of recent messages to analyze per channel.",
                        "default": 10
                    },
                    "enableDiscovery": {
                        "title": "🔍 Enable channel discovery",
                        "type": "boolean",
                        "description": "Search for new Telegram channels automatically via keywords instead of (or in addition to) manual targets.",
                        "default": false
                    },
                    "discoveryKeywords": {
                        "title": "Discovery keywords",
                        "type": "array",
                        "description": "Keywords to search for channels (e.g. 'forex signals', 'crypto trading'). Used only if Discovery is enabled.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "discoveryErrMin": {
                        "title": "Minimum ERR % (engagement rate)",
                        "minimum": 1,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Only keep channels with an engagement rate >= this value. Recommended: 15.",
                        "default": 15
                    },
                    "discoverySubsMin": {
                        "title": "Minimum subscribers",
                        "minimum": 100,
                        "type": "integer",
                        "description": "Only keep channels with at least this number of subscribers. Recommended: 1000.",
                        "default": 1000
                    },
                    "discoveryMaxPerKeyword": {
                        "title": "Max channels per keyword",
                        "minimum": 1,
                        "maximum": 50,
                        "type": "integer",
                        "description": "Maximum number of channels to retain per keyword after filtering.",
                        "default": 20
                    },
                    "saveToDataset": {
                        "title": "💾 Save signals to Apify Dataset",
                        "type": "boolean",
                        "description": "Export all detected signals to the Apify Dataset (visible as a clean table, exportable as CSV/JSON/Excel).",
                        "default": true
                    },
                    "saveDiscoveredChannels": {
                        "title": "💾 Save discovered channels to Dataset",
                        "type": "boolean",
                        "description": "Also push the list of discovered channels (@username, name, subscribers, ERR) into the Dataset.",
                        "default": false
                    },
                    "sendToWebhook": {
                        "title": "🌐 Send signals to Webhook",
                        "type": "boolean",
                        "description": "Send each detected signal in real-time via HTTP POST to an external URL (your app, a bot, etc.).",
                        "default": false
                    },
                    "webhookUrl": {
                        "title": "Webhook URL",
                        "type": "string",
                        "description": "URL to POST signals to. Required if 'Send to Webhook' is enabled."
                    },
                    "webhookSecret": {
                        "title": "Webhook secret",
                        "type": "string",
                        "description": "Token sent in the x-webhook-secret header to authenticate requests (optional)."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```