# Google AI Overview Citation Tracker (`devilscrapes/ai-overview-citations`) Actor
Track which domains Google's AI Overview cites for your target queries. AEO / generative-SEO data for 2026 — one row per (query x cited source) with selector telemetry, captcha-aware retry, and Pydantic-validated output.
- **URL**: https://apify.com/devilscrapes/ai-overview-citations.md
- **Developed by:** [DevilScrapes](https://apify.com/devilscrapes) (community)
- **Categories:** SEO tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per event
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Google AI Overview Citation Tracker
_We do the dirty work so your dataset stays clean._ 😈
**$5.50 / 1,000 (query x citation) rows.** Track which domains Google's AI Overview cites for your target queries. **Answer Engine Optimization (AEO)** is the hottest SEO category of 2026 — AI Overview is now the first result for roughly 30% of informational searches, and there is no first-party API for citation attribution. This Actor renders Google SERPs with Camoufox (Firefox-fork anti-detection), parses the AI Overview block with an 8-selector fall-through battery, and emits one Pydantic-validated row per (query x cited source) so you can monitor share-of-citation the same way you monitor SERP rank.
### 🎯 What this scrapes
For each query you pass in, this Actor:
1. Opens `https://www.google.com/search?q=&hl=&gl=` in a fresh Camoufox page.
2. Dismisses any EU consent dialog.
3. Waits 4-15 seconds for the AI Overview block to lazy-render.
4. Probes an 8-selector priority battery to find the AI Overview container, recording which selector hit so you can detect Google rotating their markup.
5. Extracts every citation link inside the carousel (URL, registrable domain, anchor text, 1-based position).
6. Emits one row per citation, or — when AI Overview did not appear — a single marker row with `ai_overview_appeared=false`. Both row shapes are still meaningful (proving the absence of AI Overview is a valid AEO data point).
Output fields:
| Field | Type | Description |
|---|---|---|
| `query` | string | The query the row was produced from |
| `country` | string | ISO-3166 alpha-2 country code (gl=) |
| `language` | string | ISO-639-1 language code (hl=) |
| `ai_overview_appeared` | boolean | True when an AI Overview block was rendered |
| `ai_overview_text_excerpt` | string \| null | First 200 chars of the AI Overview body |
| `citation_position` | integer \| null | 1-based position in the citation carousel |
| `source_domain` | string \| null | Registrable domain (e.g. `imf.org`) |
| `source_url` | string \| null | Full https:// URL Google rendered |
| `source_title` | string \| null | Anchor text Google rendered |
| `selector_used` | string \| null | Which selector matched — drift telemetry |
| `scraped_at` | string | ISO 8601 UTC timestamp |
### 🔥 Features
- **Camoufox-rendered, not headless Chromium** — Google blocks plain Playwright/Selenium fingerprints; Camoufox is a Firefox fork with anti-detection patches per ADR-0002.
- **8-selector priority battery** — Google rotates AI Overview labels every few months. This Actor probes the eight selectors we've seen historically and records which one matched on every row, so you can chart selector drift with a single `GROUP BY selector_used` query.
- **CAPTCHA-aware** — when Google serves the `sorry/index` reCAPTCHA interstitial, the Actor rotates the proxy session and retries once before emitting a not-appeared marker row. The run never green-status-with-empty-dataset (fail-loud per ADR-0002).
- **Per-query session isolation** — fresh proxy session ID and fresh Playwright page per query, so cookies and rate-limit state from one query don't poison the next.
- **Apify Proxy mandatory** — RESIDENTIAL preferred (cleanest exit IPs), automatic fallback to BUYPROXIES94952 when residential is unavailable on your plan.
- **Pydantic v2 input + output validation** — invalid input fails fast before any browser starts; row schema is enforced at push time.
- **Pay-Per-Event pricing** — $0.05 start + $0.005 per row; no charges if zero rows scraped.
- **PPE-safe `Actor.charge`** — regression-tested against the SDK 3.x `idempotency_key` trap that broke an earlier Actor on first publish.
### 💡 Use cases
- **AEO dashboard** — schedule a weekly run for your 50 highest-priority queries; chart `source_domain` share-of-citation over time alongside `ai_overview_appeared` rate. Detect when AI Overview starts citing a new competitor in your space.
- **Pre-launch content gap analysis** — feed in the queries you want to rank for, see which domains Google currently cites, and target outreach to publishers in the cite list rather than chasing pure backlink volume.
- **Brand monitoring** — does AI Overview cite *your* domain for queries where your brand is the answer? Most brands have no instrumentation here today; this is the cheapest way to find out.
- **Competitive intelligence for AI Overview** — track exactly which 3-5 sources Google's generative system trusts for each of your category's head queries; compare to traditional SERP rank.
- **Selector drift monitoring** — even if you don't care about citations, the `selector_used` column is a leading indicator of Google rotating AI Overview markup. Useful for SaaS observability of generative search behaviour.
- **Localised AEO** — pair `country=us` and `country=gb` runs over the same query list to detect locale-specific citation behaviour (English-only in v0.1; multi-locale on the roadmap).
### ⚙️ How to use it
1. Open the Actor input form.
2. Paste your **Search queries** (1-50). Informational queries (`what is`, `how to`, `best X 2026`) have the best AI-Overview trigger rate.
3. (Optional) Set **Country** and **Language** (default `us` / `en`).
4. (Optional) Cap with **Max queries per run** (default 25).
5. (Optional) Raise **Wait after DOM ready** to 12000-15000 ms for slow proxy exits.
6. Pick a **Proxy** — leave default RESIDENTIAL. The Actor will fall back to BUYPROXIES94952 automatically if residential is unavailable on your plan.
7. Click **Start**. Rows stream into the default dataset.
#### Quick examples
Two informational queries, default settings (the QA fixture):
```json
{
"queries": ["best running shoes 2026", "what causes inflation"],
"country": "us",
"language": "en",
"maxQueries": 2,
"waitMsAfterLoad": 8000,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}
````
UK English with a longer wait window:
```json
{
"queries": ["best mortgage rates", "how does pension lump sum tax work"],
"country": "gb",
"language": "en",
"maxQueries": 10,
"waitMsAfterLoad": 12000,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}
```
### 📥 Input
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
| `queries` | array of strings | yes | — | 1-50 search queries to probe |
| `country` | string | no | `"us"` | ISO-3166 alpha-2 (lowercase); maps to `gl=` |
| `language` | string | no | `"en"` | ISO-639-1 (lowercase); maps to `hl=` |
| `maxQueries` | integer | no | 25 | Hard cap per run (1-50) |
| `waitMsAfterLoad` | integer | no | 8000 | ms after DOMContentLoaded (4000-15000) |
| `proxyConfiguration` | object | yes | RESIDENTIAL | Apify Proxy config — required |
### 📤 Output
One JSON row per (query x citation), or a single marker row when AI Overview did not appear for that query. Example citation row:
```json
{
"query": "what causes inflation",
"country": "us",
"language": "en",
"ai_overview_appeared": true,
"ai_overview_text_excerpt": "Inflation is caused by a combination of demand-pull factors, cost-push factors...",
"citation_position": 1,
"source_domain": "imf.org",
"source_url": "https://www.imf.org/en/Publications/fandd/issues/Series/Back-to-Basics/Inflation",
"source_title": "Inflation: Prices on the Rise",
"selector_used": "div[aria-label=\"AI Overview\"]",
"scraped_at": "2026-05-16T20:50:00.000Z"
}
```
Example no-AI-Overview marker row:
```json
{
"query": "spinach recipe",
"country": "us",
"language": "en",
"ai_overview_appeared": false,
"ai_overview_text_excerpt": null,
"citation_position": null,
"source_domain": null,
"source_url": null,
"source_title": null,
"selector_used": null,
"scraped_at": "2026-05-16T20:50:00.000Z"
}
```
### 💰 Pricing
Pay-Per-Event:
| Event | Price (USD) | Trigger |
|---|---|---|
| `actor-start` | $0.05 | Once per run when the Actor begins |
| `result-row` | $0.005 | Per dataset row pushed |
Worked example: a 50-query run with a ~30% AI-Overview hit rate and ~4 citations per hit yields roughly `50 * 0.7 + 50 * 0.3 * 4 = 95 rows`. Charge = `$0.05 + 95 * $0.005 = $0.525`. That's ~$5.50 per 1,000 rows — priced above commodity SERP scrapers because the citation data is essentially unobtainable elsewhere.
### 🚧 Limitations
- **AI Overview only triggers on ~30% of queries today.** Queries that look transactional, navigational, or trademark-heavy will mostly produce `ai_overview_appeared=false` marker rows. That's still useful data — and you're charged the same per row either way.
- **v0.1 is English-tuned.** The text-based selector fallback looks for the literal string `AI Overview`. Non-English locales (e.g. `gl=de`) may emit false negatives on the fallback path. The CSS selector battery is locale-agnostic.
- **Apify Proxy is required.** Google hard-blocks Apify's datacenter IPs without proxy enrichment. The Actor fails fast at startup with a clear status message when no proxy group is reachable.
- **Mobile SERP is out of scope.** Mobile AI Overview has a different DOM structure; a separate Actor variant is planned.
- **No following citation links.** This Actor records the cited URL but does not visit it. Pair with a downstream Actor (e.g. an HTTP scraper) when you need destination content.
### ❓ FAQ
**Q: Why Camoufox instead of plain Playwright?** Google's anti-bot fingerprints headless Chromium via the WebDriver/CDP signature, predictable navigator properties, and missing iframes-API behaviour. Camoufox is a Firefox fork with those signals patched; it's the only browser our org allows for scraping (ADR-0002).
**Q: Why one row per citation instead of one row per query with an array?** Tabular tools (Sheets, BigQuery, Excel pivots) hate nested arrays. Long-form rows let you `GROUP BY source_domain` directly. If you need wide-form you can pivot client-side in <5 lines of SQL.
**Q: Why charge for marker rows when AI Overview didn't appear?** Because `ai_overview_appeared=false` is a meaningful AEO signal — knowing which of your queries *don't* trigger AI Overview is half the dashboard. Costing the data fairly keeps the Actor sustainable.
**Q: Will this work on the Apify FREE tier?** Partially. FREE tier has no RESIDENTIAL group, so the Actor falls back to BUYPROXIES94952 (5 IPs). Google often serves CAPTCHA on those datacenter IPs; expect a high marker-row rate. Paid Apify plans with RESIDENTIAL get clean runs.
**Q: How do I detect Google rotating their AI Overview DOM?** Filter the dataset by `selector_used` over time. When the highest-priority selector stops hitting and a lower one starts winning, raise an issue — we'll add the new one to the battery.
### 💬 Your feedback
Hit a selector miss, a parser edge case, or a feature gap? Open an issue on the Apify Store listing and we'll respond within a week. Pull requests welcome — the source is structured for easy selector-battery extension (see `src/parser.py`).
# Actor input Schema
## `queries` (type: `array`):
Search queries to probe. 1-50 strings — anything informational has the best chance of triggering AI Overview (~30% of queries today).
## `country` (type: `string`):
Country code passed as gl= to Google. Lowercase ISO-2 (e.g. us, gb, de).
## `language` (type: `string`):
Language code passed as hl= to Google. Lowercase ISO-1 (e.g. en, de, fr). v0.1 ships English-tuned selectors; non-English locales may miss AI Overview detection.
## `maxQueries` (type: `integer`):
Hard cap on queries processed in a single run regardless of queries length. Caps PPE spend.
## `waitMsAfterLoad` (type: `integer`):
AI Overview lazy-renders 5-7s after domcontentloaded. Increase to 12000-15000 for slow proxy exits.
## `proxyConfiguration` (type: `object`):
Mandatory. RESIDENTIAL strongly recommended; the Actor falls back to BUYPROXIES94952 when residential is unavailable on your plan.
## Actor input object example
```json
{
"queries": [
"best running shoes 2026",
"what causes inflation"
],
"country": "us",
"language": "en",
"maxQueries": 25,
"waitMsAfterLoad": 8000,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
```
# Actor output Schema
## `datasetItems` (type: `string`):
All dataset items as JSON.
## `datasetItemsCsv` (type: `string`):
Same data exported to CSV.
## `datasetView` (type: `string`):
Open the run dataset in the Console.
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"queries": [
"best running shoes 2026",
"what causes inflation"
],
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("devilscrapes/ai-overview-citations").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"queries": [
"best running shoes 2026",
"what causes inflation",
],
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
},
}
# Run the Actor and wait for it to finish
run = client.actor("devilscrapes/ai-overview-citations").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 '{
"queries": [
"best running shoes 2026",
"what causes inflation"
],
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}' |
apify call devilscrapes/ai-overview-citations --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=devilscrapes/ai-overview-citations",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google AI Overview Citation Tracker",
"description": "Track which domains Google's AI Overview cites for your target queries. AEO / generative-SEO data for 2026 — one row per (query x cited source) with selector telemetry, captcha-aware retry, and Pydantic-validated output.",
"version": "0.2",
"x-build-id": "E2sGrTAp5CUtZWcbp"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/devilscrapes~ai-overview-citations/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-devilscrapes-ai-overview-citations",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/devilscrapes~ai-overview-citations/runs": {
"post": {
"operationId": "runs-sync-devilscrapes-ai-overview-citations",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/devilscrapes~ai-overview-citations/run-sync": {
"post": {
"operationId": "run-sync-devilscrapes-ai-overview-citations",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"queries",
"proxyConfiguration"
],
"properties": {
"queries": {
"title": "Search queries",
"minItems": 1,
"maxItems": 50,
"type": "array",
"description": "Search queries to probe. 1-50 strings — anything informational has the best chance of triggering AI Overview (~30% of queries today).",
"items": {
"type": "string"
}
},
"country": {
"title": "Country (ISO-3166 alpha-2)",
"type": "string",
"description": "Country code passed as gl= to Google. Lowercase ISO-2 (e.g. us, gb, de).",
"default": "us"
},
"language": {
"title": "Language (ISO-639-1)",
"type": "string",
"description": "Language code passed as hl= to Google. Lowercase ISO-1 (e.g. en, de, fr). v0.1 ships English-tuned selectors; non-English locales may miss AI Overview detection.",
"default": "en"
},
"maxQueries": {
"title": "Max queries per run",
"minimum": 1,
"maximum": 50,
"type": "integer",
"description": "Hard cap on queries processed in a single run regardless of queries length. Caps PPE spend.",
"default": 25
},
"waitMsAfterLoad": {
"title": "Wait after DOM ready (ms)",
"minimum": 4000,
"maximum": 15000,
"type": "integer",
"description": "AI Overview lazy-renders 5-7s after domcontentloaded. Increase to 12000-15000 for slow proxy exits.",
"default": 8000
},
"proxyConfiguration": {
"title": "Apify Proxy",
"type": "object",
"description": "Mandatory. RESIDENTIAL strongly recommended; the Actor falls back to BUYPROXIES94952 when residential is unavailable on your plan.",
"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
}
}
}
}
}
}
}
}
}
}
```