# Google Maps BR Scraper - Business Listings & Data (`viralanalyzer/google-maps-br-scraper`) Actor
Scrape Google Maps businesses in Brazil. Extract name, address, phone, rating, reviews, category, CEP. Search by keyword + city with lower-cost default proxy and optional residential fallback.
- **URL**: https://apify.com/viralanalyzer/google-maps-br-scraper.md
- **Developed by:** [viralanalyzer](https://apify.com/viralanalyzer) (community)
- **Categories:** Lead generation, Business
- **Stats:** 44 total users, 6 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars
## Pricing
$100.00 / 1,000 business scrapeds
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 Maps BR Scraper — Business Data + Reviews (Brazil)
> 🔗 [View on Apify Store](https://apify.com/viralanalyzer/google-maps-br-scraper) | 🇺🇸 English | [🇧🇷 Português](#português)
Scrape **Google Maps businesses in Brazil** with full details, reviews, ratings, and CEP enrichment. Search by keyword + city, extract business information, and collect customer reviews with sentiment analysis.
### ✨ Features
- 🔍 **Search by keyword + city** — "restaurantes São Paulo", "dentista Curitiba"
- 📋 **Full business data** — Name, address, phone, rating, category, price level
- ⭐ **Review extraction** — Best-effort extraction of author, rating, text, date (see [Limitations](#limitations))
- 💬 **Sentiment analysis** — Score (-1.0 to 1.0) + label per review
- 📮 **CEP enrichment** — Validates CEP via ViaCEP API
- 🛡️ **Validated output** — Every output validated before delivery
- 🌐 **Portuguese optimized** — Interface language pt-BR by default
- 💰 **Pay per result** — $0.003/review
### 📥 Input
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `queries` | string[] | ✅ | — | Search queries ("keyword + city") |
| `maxPlaces` | integer | ❌ | 10 | Max businesses per query |
| `maxReviews` | integer | ❌ | 5 | Max reviews per business (0 = none) |
| `language` | string | ❌ | "pt-BR" | Interface language |
| `enrichCep` | boolean | ❌ | true | Validate CEP via ViaCEP |
| `proxyConfig` | object | ❌ | Apify Proxy | Proxy settings. Lower-cost proxy is the default; use `RESIDENTIAL` only when needed |
#### Input Example
```json
{
"queries": [
"restaurantes São Paulo",
"dentista Curitiba",
"hotel Rio de Janeiro"
],
"maxPlaces": 10,
"maxReviews": 5,
"language": "pt-BR",
"enrichCep": true
}
````
### 📤 Output
Every business includes these fields:
| Field | Type | Description |
|---|---|---|
| `business_name` | string | Business name |
| `place_id` | string | Google Maps Place ID |
| `address` | string | Full address |
| `cep` | string | Brazilian postal code (CEP) |
| `phone` | string | Phone number |
| `rating` | number | Google rating (1.0-5.0) |
| `total_reviews` | number | Total review count |
| `category` | string | Business category |
| `price_level` | string | Price level ($, $$, $$$) |
| `url` | string | Google Maps URL |
| `website` | string | Business website |
| `reviews` | object\[] | Extracted reviews (see below) |
#### Review Fields
| Field | Type | Description |
|---|---|---|
| `author` | string | Reviewer name |
| `rating` | number | Review rating (1-5) |
| `text` | string | Review text |
| `date` | string | Review date |
| `sentiment_score` | number | Sentiment score (-1.0 to 1.0) |
| `sentiment_label` | string | muito\_positivo / positivo / neutro / negativo / muito\_negativo |
| `language` | string | Detected language (pt-BR, en) |
| `topics` | string\[] | Detected topics (comida, atendimento, preço, etc.) |
#### Output Example
```json
{
"business_name": "A Casa do Porco Bar",
"place_id": "ChIJYYCw_9VZzpQRKTNZNbdkVME",
"address": "R. Araújo, 124 - República, São Paulo - SP, 01220-020",
"cep": "01220020",
"phone": "(11) 3258-2578",
"rating": 4.7,
"total_reviews": 18542,
"category": "Restaurante brasileiro",
"price_level": "$$$",
"url": "https://www.google.com/maps/place/...",
"reviews": [
{
"author": "João Silva",
"rating": 5,
"text": "Melhor restaurante de porco de São Paulo!",
"date": "1 mês atrás",
"sentiment_score": 1.0,
"sentiment_label": "muito_positivo",
"language": "pt-BR",
"topics": ["comida"]
}
]
}
```
### 📋 Use Cases
- **Market Research** — Map competitors in a city by category
- **Reputation Monitoring** — Track reviews and ratings over time
- **Lead Generation** — Extract business contact info (phone, address)
- **Location Analysis** — Compare ratings across neighborhoods
- **Customer Insights** — Analyze review topics and sentiment
### ⚠️ Limitations
- **Review text extraction is best-effort.** Google Maps actively blocks automated review extraction with aggressive anti-bot measures. Business data (name, address, phone, rating, total review count, category) is extracted reliably. Individual review text may not always be available.
- **Total review count** is always extracted from the business page (e.g., "18,542 reviews") even when individual review text cannot be retrieved.
- **Geographic entities** (cities, states) that appear in search results are automatically filtered out.
### ❓ FAQ
**Q: Does this need a Google API key?**
A: No! This actor works without any Google API credentials.
**Q: What proxy does it need?**
A: The default is the lower-cost Apify proxy. Use `RESIDENTIAL` only when Google starts returning stripped pages or zero results.
**Q: Can I search in any Brazilian city?**
A: Yes! Just use the format "keyword + city name" in your queries.
**Q: Why are reviews sometimes empty?**
A: Google Maps uses aggressive anti-bot measures that strip review content from automated browsers. Business data and total review counts are always extracted reliably.
**Q: What sentiment labels are available?**
A: Five levels from muito\_positivo to muito\_negativo, based on review context.
**Q: Does it extract CEP for every business?**
A: Yes, when `enrichCep` is enabled. The CEP is validated via the ViaCEP public API.
### 💰 Pricing
This actor uses **Pay Per Event (PPE)** pricing:
| Metric | Cost |
|--------|------|
| `place-scraped` | $0.12 per place/business |
**Example**: Scraping 1,000 businesses costs $120.00.
### 🔗 Related Actors
- [CNPJ Enricher](https://apify.com/viralanalyzer/cnpj-enricher) — Enrich with company data
- [YouTube Fast Scraper](https://apify.com/viralanalyzer/youtube-fast-scraper) — YouTube video metrics
- [TikTok Viral Scanner](https://apify.com/viralanalyzer/tiktok-viral-scanner) — TikTok profile data
- [Instagram Reels Scraper](https://apify.com/viralanalyzer/instagram-reels-scraper) — Instagram metrics
### 📝 Changelog
#### v1.0 (Current)
- ✅ Search by keyword + city
- ✅ Full business data extraction (name, address, phone, rating, total reviews, category)
- ✅ Best-effort review extraction with sentiment analysis
- ✅ CEP enrichment via ViaCEP
- ✅ Geographic entity filtering (skips cities/states)
- ✅ Stealth browsing with lower-cost default proxy and optional residential mode
- ✅ Bilingual support (PT-BR + EN)
***
## 🗺️ Google Maps BR Scraper — Dados de Empresas + Avaliações
> [🇺🇸 English](#️-google-maps-br-scraper--business-data--reviews-brazil) | 🇧🇷 Português
Extraia **dados de empresas do Google Maps no Brasil** com detalhes completos, avaliações, notas e enriquecimento de CEP. Busque por palavra-chave + cidade, extraia informações do negócio e colete avaliações de clientes com análise de sentimento.
### ✨ Funcionalidades
- 🔍 **Busca por palavra-chave + cidade** — "restaurantes São Paulo", "dentista Curitiba"
- 📋 **Dados completos** — Nome, endereço, telefone, nota, categoria, faixa de preço
- ⭐ **Extração de avaliações** — Extração best-effort de autor, nota, texto, data (veja [Limitações](#limitações))
- 💬 **Análise de sentimento** — Score (-1.0 a 1.0) + label por avaliação
- 📮 **Enriquecimento de CEP** — Validação via API ViaCEP
- 🛡️ **Output validado** — Todo output validado antes da entrega
- 🌐 **Otimizado para português** — Interface pt-BR por padrão
- 💰 **Pague por resultado** — $0.003/avaliação
### 📥 Entrada
| Parâmetro | Tipo | Obrigatório | Padrão | Descrição |
|---|---|---|---|---|
| `queries` | string\[] | ✅ | — | Buscas ("palavra-chave + cidade") |
| `maxPlaces` | inteiro | ❌ | 10 | Máx empresas por busca |
| `maxReviews` | inteiro | ❌ | 5 | Máx avaliações por empresa (0 = nenhuma) |
| `language` | string | ❌ | "pt-BR" | Idioma da interface |
| `enrichCep` | boolean | ❌ | true | Validar CEP via ViaCEP |
| `proxyConfig` | objeto | ❌ | Apify Proxy | Config de proxy. O modo padrao e mais barato; use `RESIDENTIAL` so quando precisar |
#### Exemplo de Entrada
```json
{
"queries": [
"restaurantes São Paulo",
"dentista Curitiba",
"hotel Rio de Janeiro"
],
"maxPlaces": 10,
"maxReviews": 5,
"language": "pt-BR",
"enrichCep": true
}
```
### 📤 Saída
Cada empresa inclui estes campos:
| Campo | Tipo | Descrição |
|---|---|---|
| `business_name` | string | Nome da empresa |
| `place_id` | string | Google Maps Place ID |
| `address` | string | Endereço completo |
| `cep` | string | CEP (código postal) |
| `phone` | string | Telefone |
| `rating` | número | Nota Google (1.0-5.0) |
| `total_reviews` | número | Total de avaliações |
| `category` | string | Categoria da empresa |
| `price_level` | string | Faixa de preço ($, $$, $$$) |
| `url` | string | URL do Google Maps |
| `website` | string | Site da empresa |
| `reviews` | objeto\[] | Avaliações extraídas (ver abaixo) |
#### Campos da Avaliação
| Campo | Tipo | Descrição |
|---|---|---|
| `author` | string | Nome do avaliador |
| `rating` | número | Nota (1-5) |
| `text` | string | Texto da avaliação |
| `date` | string | Data |
| `sentiment_score` | número | Score de sentimento (-1.0 a 1.0) |
| `sentiment_label` | string | muito\_positivo / positivo / neutro / negativo / muito\_negativo |
| `language` | string | Idioma detectado (pt-BR, en) |
| `topics` | string\[] | Tópicos detectados (comida, atendimento, preço, etc.) |
### 📋 Casos de Uso
- **Pesquisa de mercado** — Mapeie concorrentes por cidade e categoria
- **Monitoramento de reputação** — Acompanhe avaliações e notas ao longo do tempo
- **Geração de leads** — Extraia contatos (telefone, endereço)
- **Análise de localização** — Compare notas entre bairros
- **Insights de clientes** — Analise tópicos e sentimento das avaliações
### ⚠️ Limitações
- **Extração de texto de avaliações é best-effort.** O Google Maps bloqueia ativamente a extração automatizada de avaliações com medidas anti-bot agressivas. Dados de negócios (nome, endereço, telefone, nota, total de avaliações, categoria) são extraídos de forma confiável.
- **Contagem total de avaliações** é sempre extraída da página da empresa, mesmo quando o texto individual não está disponível.
- **Entidades geográficas** (cidades, estados) que aparecem nos resultados são filtradas automaticamente.
### ❓ Perguntas Frequentes
**P: Precisa de chave da API do Google?**
R: Não! Este actor funciona sem nenhuma credencial de API do Google.
**P: Que tipo de proxy precisa?**
R: O padrao agora usa o proxy mais barato da Apify. Ative `RESIDENTIAL` apenas quando o Google comecar a devolver pagina capada ou zero resultados.
**P: Posso buscar em qualquer cidade brasileira?**
R: Sim! Use o formato "palavra-chave + nome da cidade" nas queries.
**P: Por que as avaliações às vezes estão vazias?**
R: O Google Maps usa medidas anti-bot agressivas que removem conteúdo de avaliações de navegadores automatizados. Dados do negócio e contagens totais são sempre extraídos.
**P: Quais labels de sentimento estão disponíveis?**
R: Cinco níveis de muito\_positivo a muito\_negativo, baseados no contexto da avaliação.
**P: O CEP é extraído para toda empresa?**
R: Sim, quando `enrichCep` está habilitado. O CEP é validado via API pública ViaCEP.
### 💰 Preços
Este actor usa precificação **Pay Per Event (PPE)**:
| Métrica | Custo |
|---------|-------|
| Por empresa extraída | $0.003 |
### 🔗 Actors Relacionados
- [CNPJ Enricher](https://apify.com/viralanalyzer/cnpj-enricher) — Enriquecimento com dados empresariais
- [YouTube Fast Scraper](https://apify.com/viralanalyzer/youtube-fast-scraper) — Métricas do YouTube
- [TikTok Viral Scanner](https://apify.com/viralanalyzer/tiktok-viral-scanner) — Dados do TikTok
- [Instagram Reels Scraper](https://apify.com/viralanalyzer/instagram-reels-scraper) — Métricas do Instagram
# Actor input Schema
## `queries` (type: `array`):
List of search queries. Format: 'keyword + city' (e.g., 'restaurantes São Paulo', 'dentista Curitiba')
## `maxPlaces` (type: `integer`):
Maximum number of businesses to extract per search query
## `maxReviews` (type: `integer`):
Maximum number of reviews to extract per business (0 = no reviews)
## `language` (type: `string`):
Google Maps interface language
## `enrichCep` (type: `boolean`):
Try to extract and validate CEP from address using ViaCEP API
## `proxyConfig` (type: `object`):
Proxy settings for the scraper. Default mode uses lower-cost Apify proxy; enable RESIDENTIAL only if Google starts returning stripped pages or zero results.
## Actor input object example
```json
{
"queries": [
"restaurantes São Paulo",
"dentista Curitiba",
"hotel Rio de Janeiro"
],
"maxPlaces": 3,
"maxReviews": 5,
"language": "pt-BR",
"enrichCep": true,
"proxyConfig": {
"useApifyProxy": true
}
}
```
# Actor output Schema
## `results` (type: `string`):
Dataset containing all scraped results. Each item follows the dataset schema.
# 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": [
"pizzaria Curitiba"
],
"maxPlaces": 3,
"maxReviews": 0,
"language": "pt-BR",
"enrichCep": true,
"proxyConfig": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("viralanalyzer/google-maps-br-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"queries": ["pizzaria Curitiba"],
"maxPlaces": 3,
"maxReviews": 0,
"language": "pt-BR",
"enrichCep": True,
"proxyConfig": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("viralanalyzer/google-maps-br-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 '{
"queries": [
"pizzaria Curitiba"
],
"maxPlaces": 3,
"maxReviews": 0,
"language": "pt-BR",
"enrichCep": true,
"proxyConfig": {
"useApifyProxy": true
}
}' |
apify call viralanalyzer/google-maps-br-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=viralanalyzer/google-maps-br-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Maps BR Scraper - Business Listings & Data",
"description": "Scrape Google Maps businesses in Brazil. Extract name, address, phone, rating, reviews, category, CEP. Search by keyword + city with lower-cost default proxy and optional residential fallback.",
"version": "1.3",
"x-build-id": "eJxLbz32BfQACNhpN"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/viralanalyzer~google-maps-br-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-viralanalyzer-google-maps-br-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/viralanalyzer~google-maps-br-scraper/runs": {
"post": {
"operationId": "runs-sync-viralanalyzer-google-maps-br-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/viralanalyzer~google-maps-br-scraper/run-sync": {
"post": {
"operationId": "run-sync-viralanalyzer-google-maps-br-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"queries"
],
"properties": {
"queries": {
"title": "Search Queries",
"type": "array",
"description": "List of search queries. Format: 'keyword + city' (e.g., 'restaurantes São Paulo', 'dentista Curitiba')",
"items": {
"type": "string"
}
},
"maxPlaces": {
"title": "Max Places per Query",
"minimum": 1,
"maximum": 100,
"type": "integer",
"description": "Maximum number of businesses to extract per search query",
"default": 10
},
"maxReviews": {
"title": "Max Reviews per Place",
"minimum": 0,
"maximum": 50,
"type": "integer",
"description": "Maximum number of reviews to extract per business (0 = no reviews)",
"default": 5
},
"language": {
"title": "Language",
"enum": [
"pt-BR",
"en"
],
"type": "string",
"description": "Google Maps interface language",
"default": "pt-BR"
},
"enrichCep": {
"title": "Enrich CEP via ViaCEP",
"type": "boolean",
"description": "Try to extract and validate CEP from address using ViaCEP API",
"default": true
},
"proxyConfig": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings for the scraper. Default mode uses lower-cost Apify proxy; enable RESIDENTIAL only if Google starts returning stripped pages or zero results.",
"default": {
"useApifyProxy": true
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```