# Bluesky Posts & Profiles Scraper (`verifiable_clamp/apify-bluesky-scraper`) Actor

Scrape Bluesky posts via the AT Protocol public API. Search by query or fetch posts from a list of user handles. Optional Claude-powered sentiment/topic/entity enrichment.

- **URL**: https://apify.com/verifiable\_clamp/apify-bluesky-scraper.md
- **Developed by:** [Rara21](https://apify.com/verifiable_clamp) (community)
- **Categories:** Social media, AI
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## Bluesky Posts & Profiles Scraper

> Apify Actor that scrapes [Bluesky](https://bsky.app) via the public AT Protocol API. Search posts by query, fetch posts from specific authors, optionally enrich each post with Claude-powered sentiment / topic / entity / summary fields.

No Bluesky account required. The AT Protocol exposes public read endpoints at `https://public.api.bsky.app` — this Actor uses only those, so there's no auth setup beyond Apify itself.

### What you get per scraped post

Every output item is a flat object with these fields (see [`src/types.ts`](src/types.ts) for the full Zod schema):

```json
{
  "uri": "at://did:plc:abc.../app.bsky.feed.post/3kxyz",
  "cid": "bafyrei...",
  "url": "https://bsky.app/profile/alice.bsky.social/post/3kxyz",
  "text": "Hello Bluesky! …",
  "language": ["en"],

  "author_did": "did:plc:abc...",
  "author_handle": "alice.bsky.social",
  "author_display_name": "Alice",

  "like_count": 42,
  "repost_count": 7,
  "reply_count": 3,
  "quote_count": 1,

  "created_at": "2026-05-10T12:00:00.000Z",
  "indexed_at": "2026-05-10T12:00:01.000Z",

  "is_reply": false,
  "reply_root_uri": null,
  "reply_parent_uri": null,

  "has_media": true,
  "has_external_link": false,
  "has_video": false,
  "embed_images": [{"url": "https://...", "alt": "An orange sky"}],
  "embed_external_url": null,
  "embed_external_title": null,

  "mentions": ["did:plc:..."],
  "links": ["https://..."],
  "hashtags": ["atproto"],
  "labels": [],

  "semantic": {
    "sentiment": "positive",
    "topics": ["climate", "policy"],
    "entities": [{"name": "COP30", "kind": "event"}],
    "summary": "Short auto-generated summary."
  },

  "source_mode": "search",
  "source_query": "climate change",
  "scraped_at": "2026-05-11T05:14:00.000Z"
}
````

`semantic` only appears when `enrich_with_claude` is on.

### Modes

#### Mode `search` — by query

```json
{
  "mode": "search",
  "search_query": "climate change OR climatechange",
  "sort": "latest",
  "language": "en",
  "max_items": 500
}
```

Uses [`app.bsky.feed.searchPosts`](https://docs.bsky.app/docs/api/app-bsky-feed-search-posts) under the hood. Supports `OR`, quoted phrases, and hashtag queries.

#### Mode `author_feed` — by user

```json
{
  "mode": "author_feed",
  "actors": ["bsky.app", "atproto.com", "alice.bsky.social"],
  "author_filter": "posts_no_replies",
  "max_items_per_actor": 200,
  "max_items": 1000
}
```

Calls [`app.bsky.feed.getAuthorFeed`](https://docs.bsky.app/docs/api/app-bsky-feed-get-author-feed) once per actor in the list, with cursor-based pagination.

### Optional: Claude enrichment

Toggle `enrich_with_claude: true` and provide an Anthropic API key. Each post then gets a `semantic` field added before being pushed to the dataset.

You choose which fields to compute (cheaper subsets cost less):

```json
{
  "enrich_with_claude": true,
  "claude_api_key": "sk-ant-…",
  "claude_model": "claude-haiku-4-5",
  "enrichment_fields": {
    "sentiment": true,
    "topics": true,
    "entities": false,
    "summary": false
  }
}
```

Posts are batched (10 per call) so you pay roughly **$0.002 per 10 posts** at Haiku 4.5 rates with sentiment + topics on.

If enrichment fails for any reason (rate limit, malformed model response, network), the batch falls through unchanged — the run never fails because of optional enrichment.

### Local development

```bash
git clone https://github.com/<your-username>/apify-bluesky-scraper
cd apify-bluesky-scraper
npm install
npm run build
npm test                ## 27 unit tests, ~2s
```

### Pushing to Apify Store

```bash
npm install -g apify-cli
apify login              ## browser auth
apify push               ## uploads source + builds the Actor on Apify Cloud
```

After the build succeeds, open the Actor in Apify Console:

1. Fill in **seoTitle** and **seoDescription** (this is the main discoverability lever — see Apify Store guidance)
2. Set **pricing model**: PAY\_PER\_EVENT recommended at `$0.003/post` (matches the leading competitor's tier)
3. Publish under the **Publication** tab

### Cost model (per Apify run)

| Volume | Bluesky API calls | Apify compute | Claude calls (optional) | Total Apify cost |
|---|---|---|---|---|
| 100 posts | ~1-2 | 256 MB · ~10s | 0-10 | ~$0.001 |
| 1,000 posts | ~10 | 256 MB · ~60s | 0-100 | ~$0.005 |
| 10,000 posts | ~100 | 512 MB · ~10min | 0-1,000 | ~$0.05 |

The Bluesky public API has no documented hard rate limit but is empirically rate-friendly at ~100 requests/min from a single IP. The Actor's built-in retry+backoff handles 429s automatically.

### Why this Actor

Bluesky has 30M+ users, the AT Protocol is open, but tooling lags — the leading scraper on Apify Store has fewer than 500 installs. This one is:

- **Fully open** — MIT licensed, every transform in `src/transform.ts` is auditable
- **Test-covered** — 27 unit tests with mocked Bluesky responses, no flaky integration suite
- **LLM-ready** — optional Claude enrichment makes posts useful for brand monitoring, sentiment dashboards, and RAG ingestion without an additional pipeline
- **Cheap by default** — pay-per-event pricing means small runs cost cents, not dollars

### Project structure

```
.actor/
├── actor.json              ## Apify Actor metadata (categories, dataset views, memory limits)
├── input_schema.json       ## Console UI input form definition
└── Dockerfile              ## Apify Cloud build
src/
├── main.ts                 ## Actor entry — orchestrates search/feed → transform → push
├── input.ts                ## Zod-validated Input schema mirroring input_schema.json
├── types.ts                ## ScrapedPost output schema
├── transform.ts            ## BskyPostView → ScrapedPost mapper (handles embeds, facets, reposts)
├── bluesky/
│   ├── client.ts           ## XRPC fetch client with retry+backoff and paginated iterators
│   └── types.ts            ## Bluesky response shapes
└── enrichment/
    └── claude.ts           ## Optional batched Claude enrichment
test/
├── fixtures.ts             ## Sample Bluesky responses (plain post, reply, image, link, mention, repost)
├── transform.test.ts       ## 12 tests
├── client.test.ts          ## 9 tests
└── input.test.ts           ## 6 tests
```

### License

MIT — see [LICENSE](LICENSE).

# Actor input Schema

## `mode` (type: `string`):

What to scrape.

## `search_query` (type: `string`):

Query for Bluesky's searchPosts (supports OR, quotes, hashtags). Required when mode='search'.

## `sort` (type: `string`):

How to rank results when mode='search'. 'latest' returns newest first; 'top' returns highest-engagement first.

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

Limit search to posts in this language (e.g. 'en', 'es', 'ja'). Leave empty for all languages.

## `since` (type: `string`):

Only include posts after this datetime, e.g. 2026-05-01T00:00:00Z

## `until` (type: `string`):

Only include posts before this datetime.

## `actors` (type: `array`):

Required when mode='author\_feed'. One handle per row (without @).

## `author_filter` (type: `string`):

Which posts to include when scraping an author's feed (mode='author\_feed').

## `max_items` (type: `integer`):

Hard cap across all queries/actors. Default 100. Set higher for bigger runs.

## `max_items_per_actor` (type: `integer`):

Per-actor cap when scraping multiple Bluesky handles. Total run is still bounded by max\_items.

## `enrich_with_claude` (type: `boolean`):

Adds a `semantic` field to each output post. Requires an Anthropic Claude API key.

## `claude_api_key` (type: `string`):

Starts with sk-ant-... Get one at console.anthropic.com.

## `claude_model` (type: `string`):

Anthropic model to use for enrichment. Haiku is cheapest; Opus is most accurate.

## `enrichment_fields` (type: `object`):

Cost scales with fields enabled. Sentiment + topics is cheapest.

## Actor input object example

```json
{
  "mode": "search",
  "search_query": "climate change OR climatechange",
  "sort": "latest",
  "actors": [
    "bsky.app",
    "atproto.com"
  ],
  "author_filter": "posts_with_replies",
  "max_items": 100,
  "max_items_per_actor": 100,
  "enrich_with_claude": false,
  "claude_model": "claude-haiku-4-5",
  "enrichment_fields": {
    "sentiment": true,
    "topics": true,
    "entities": false,
    "summary": false
  }
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("verifiable_clamp/apify-bluesky-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("verifiable_clamp/apify-bluesky-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 '{}' |
apify call verifiable_clamp/apify-bluesky-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Bluesky Posts & Profiles Scraper",
        "description": "Scrape Bluesky posts via the AT Protocol public API. Search by query or fetch posts from a list of user handles. Optional Claude-powered sentiment/topic/entity enrichment.",
        "version": "0.1",
        "x-build-id": "VgeKsKaSx6QcOUtsv"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/verifiable_clamp~apify-bluesky-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-verifiable_clamp-apify-bluesky-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/verifiable_clamp~apify-bluesky-scraper/runs": {
            "post": {
                "operationId": "runs-sync-verifiable_clamp-apify-bluesky-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/verifiable_clamp~apify-bluesky-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-verifiable_clamp-apify-bluesky-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "mode"
                ],
                "properties": {
                    "mode": {
                        "title": "Mode",
                        "enum": [
                            "search",
                            "author_feed"
                        ],
                        "type": "string",
                        "description": "What to scrape.",
                        "default": "search"
                    },
                    "search_query": {
                        "title": "Search query",
                        "type": "string",
                        "description": "Query for Bluesky's searchPosts (supports OR, quotes, hashtags). Required when mode='search'."
                    },
                    "sort": {
                        "title": "Sort order (search mode)",
                        "enum": [
                            "latest",
                            "top"
                        ],
                        "type": "string",
                        "description": "How to rank results when mode='search'. 'latest' returns newest first; 'top' returns highest-engagement first.",
                        "default": "latest"
                    },
                    "language": {
                        "title": "Language filter (BCP-47)",
                        "type": "string",
                        "description": "Limit search to posts in this language (e.g. 'en', 'es', 'ja'). Leave empty for all languages."
                    },
                    "since": {
                        "title": "Posts since (ISO datetime, search mode)",
                        "type": "string",
                        "description": "Only include posts after this datetime, e.g. 2026-05-01T00:00:00Z"
                    },
                    "until": {
                        "title": "Posts until (ISO datetime, search mode)",
                        "type": "string",
                        "description": "Only include posts before this datetime."
                    },
                    "actors": {
                        "title": "Bluesky handles or DIDs",
                        "type": "array",
                        "description": "Required when mode='author_feed'. One handle per row (without @).",
                        "default": [],
                        "items": {
                            "type": "string"
                        }
                    },
                    "author_filter": {
                        "title": "Author-feed filter",
                        "enum": [
                            "posts_with_replies",
                            "posts_no_replies",
                            "posts_with_media",
                            "posts_and_author_threads"
                        ],
                        "type": "string",
                        "description": "Which posts to include when scraping an author's feed (mode='author_feed').",
                        "default": "posts_with_replies"
                    },
                    "max_items": {
                        "title": "Max posts total",
                        "minimum": 1,
                        "maximum": 50000,
                        "type": "integer",
                        "description": "Hard cap across all queries/actors. Default 100. Set higher for bigger runs.",
                        "default": 100
                    },
                    "max_items_per_actor": {
                        "title": "Max posts per actor (author_feed mode)",
                        "minimum": 1,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Per-actor cap when scraping multiple Bluesky handles. Total run is still bounded by max_items.",
                        "default": 100
                    },
                    "enrich_with_claude": {
                        "title": "Enrich with Claude (sentiment / topics / entities / summary)",
                        "type": "boolean",
                        "description": "Adds a `semantic` field to each output post. Requires an Anthropic Claude API key.",
                        "default": false
                    },
                    "claude_api_key": {
                        "title": "Anthropic API key (required if enrichment ON)",
                        "type": "string",
                        "description": "Starts with sk-ant-... Get one at console.anthropic.com."
                    },
                    "claude_model": {
                        "title": "Claude model",
                        "enum": [
                            "claude-haiku-4-5",
                            "claude-sonnet-4-6",
                            "claude-opus-4-7"
                        ],
                        "type": "string",
                        "description": "Anthropic model to use for enrichment. Haiku is cheapest; Opus is most accurate.",
                        "default": "claude-haiku-4-5"
                    },
                    "enrichment_fields": {
                        "title": "Which enrichment fields to compute",
                        "type": "object",
                        "description": "Cost scales with fields enabled. Sentiment + topics is cheapest.",
                        "default": {
                            "sentiment": true,
                            "topics": true,
                            "entities": false,
                            "summary": 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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```