# Google Maps Scraper β Places & Reviews (Worldwide) (`rastriq/gmaps-discover-enrich`) Actor
Extract business data from Google Maps worldwide: names, addresses, phones, websites, ratings, review histograms, popular times and more. No browser, fast, from $2 per 1,000 places. Search by keyword and location in any country.
- **URL**: https://apify.com/rastriq/gmaps-discover-enrich.md
- **Developed by:** [Rastriq β Structured data from the world](https://apify.com/rastriq) (community)
- **Categories:** Lead generation, Travel, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 1,000 place 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 Scraper β Places & Reviews (Worldwide) π
Extract business data from **Google Maps in any country** by search term and location β fast, no browser, and **from just $2 per 1,000 places** (half the price of other Google Maps scrapers).
Get names, addresses, phone numbers, websites, coordinates, categories, opening hours, ratings, review counts, review histograms, popular times and more β exported to JSON, CSV or Excel, ready for lead generation, market research or local SEO.
---
### β¨ What you get
For every place found, the scraper returns:
- **Identity** β name, category, subcategories, Google `place_id`
- **Location** β full address, city, postal code, region, latitude & longitude
- **Contact** β phone (local & international format), website
- **Status** β permanently/temporarily closed flags, price level
- **Opening hours** β per-day schedule
- **Ratings** β average score and total review count
- **Photos** β cover photo and photo count
- **Maps URL** β direct link to the place
Enable the **Ratings, popular times & reviews add-on** to also get:
- **Review histogram** β star-by-star distribution (1β
β5β
)
- **Popular times** β busy hours by day
- **Exact review count** and a sample of **individual reviews** (author, rating, text, language)
---
### π² Pricing β pay only for what you need
Transparent **pay-per-result** pricing with no monthly fee and no per-run start fee. Mix and match tiers:
| Tier | What you get | Price |
|---|---|---|
| **Basic place** | Name, address, phone, website, rating, hours, coordinates | **$2 per 1,000 places** |
| **+ Enrichment add-on** | Review histogram (1-5 stars), popular times, exact review count, photos count, booking URL, international phone | **+$3 per 1,000 places** |
| **+ Individual reviews** | Author, rating, text, language per review | **+$1 per 1,000 reviews** |
**Examples:**
| Scenario | Price |
|---|---|
| 1,000 basic places | $2.00 |
| 1,000 places + histogram & popular times | $5.00 |
| 1,000 places + histogram + 5 reviews each (5,000 reviews) | $10.00 |
| 1,000 basic places + 5 reviews each (no histogram) | $7.00 |
You only pay for what you enable. Reviews are charged per review extracted, not per place.
---
### π How to use it
1. In **π Search term(s)**, type what you'd search on Google Maps (e.g. `restaurant`, `dentist`, `hotel`). Add several terms to widen coverage.
2. In **π Location**, enter a city or area (e.g. `Lisboa, Portugal`, `Austin, USA`). Use one location per run.
3. Pick your **π Language** and **πΊ Country**.
4. Set **π― Number of places to extract** (start with a low number like 20β50 for your first test).
5. *(Optional)* turn on **βοΈ Ratings, popular times & reviews** for richer data.
6. Click **Start** and download your results as JSON, CSV or Excel.
> π‘ **Tip:** start with a small run to preview the data and cost before scaling up.
---
### π₯ Input example
```json
{
"queries": ["restaurant"],
"locationQuery": "Lisboa, Portugal",
"country": "pt",
"language": "pt",
"maxResults": 50,
"enrich": true
}
````
| Field | Description |
|---|---|
| `queries` | One or more search terms |
| `locationQuery` | City / area (worldwide) |
| `country` | Country of the search |
| `language` | Language of the results |
| `maxResults` | Total places to extract (0 = no limit) |
| `enrich` | Add review histogram, popular times & review count |
***
### π€ Output example
```json
{
"name": "Taberna Gourmet",
"category": "Restaurant",
"address": "R. da Boavista 12, 1200-001 Lisboa",
"city": "Lisboa",
"postal_code": "1200-001",
"lat": 38.7071,
"lng": -9.1499,
"phone": "+351 21 000 0000",
"website": "https://example.pt",
"rating": 4.6,
"reviews_count": 399,
"reviews_by_star": { "one": 8, "two": 6, "three": 20, "four": 95, "five": 270 },
"maps_url": "https://www.google.com/maps/place/..."
}
```
Results are also organized into ready-to-read table **views**: Overview, Contact, Ratings, Reviews and Enrich status.
***
### π Worldwide coverage
Works in any country β just set the **Location**, **Country** and **Language**. The postal-code and province helpers are specific to **Spain** (INE codes); for other countries use the free-text **Location** field.
***
### β FAQ
**Is scraping Google Maps legal?**
This Actor extracts publicly available business information. You are responsible for how you use the data and for complying with applicable laws (including GDPR for any personal data).
**Why is it cheaper than other scrapers?**
It runs over plain HTTP (no headless browser), so it uses far less compute, and we pass those savings on to you.
**How do I get more places?**
Increase **Number of places** or add more search terms. For full-area coverage set it to `0` (no limit).
**Can I schedule it or call it via API?**
Yes β like any Apify Actor, you can schedule runs, use the API, and integrate with Make, Zapier and others.
***
### π Support
Found a bug or need a new field? Open an issue on the Actor's **Issues** tab and we'll take a look.
# Actor input Schema
## `searches` (type: `array`):
One search per line β type exactly as you would in Google Maps. Include the city or area in the search itself for the best results.
Examples:
β’ restaurant Madrid Spain
β’ dentist 28001
β’ hotel near Times Square New York
## `maxResults` (type: `integer`):
Maximum total places to extract across all searches. 0 = no limit (careful β large runs cost more). Start with 10β50 for a quick test.
## `language` (type: `string`):
Language in which place names, categories and reviews will appear in the output.
## `country` (type: `string`):
Google Maps region for the search. Set this to the country you are targeting. Default is United States β change it when scraping another country.
## `enrich` (type: `boolean`):
When enabled, each place gets an extra request to fetch: star-rating histogram (1β5 stars), popular times chart, exact review count, photos count, booking URL and more detailed phone/contact info.
## `maxReviews` (type: `integer`):
Number of individual text reviews to extract per place (0 = none; the star histogram and popular times are still collected if the add-on is on). Each review is billed separately.
## `postalCodes` (type: `string`):
Spanish postal codes, comma-separated. Ranges allowed: 28001-28010. Runs an independent grid search per code.
## `provinceCode` (type: `string`):
Two-digit INE province code β automatically generates every postal code in that province. Example: 28 = Madrid, 08 = Barcelona.
## `gridMode` (type: `string`):
How the search area is divided into cells when using postal-code / province mode.
Adaptive (recommended): automatically subdivides dense cells when Google's ~40-result cap is hit β gets more results in crowded areas without over-requesting sparse ones.
H3 hexagonal: Uber H3 tiling β ~15% less overlap between cells than squares.
Fixed square: original uniform grid.
## `gridStepKm` (type: `number`):
Size of each grid cell in kilometres. Smaller = more cells = better coverage in dense areas, but higher cost. Default 2 km is a good balance for most cities.
## `concurrency` (type: `integer`):
Number of parallel requests. Higher = faster but higher risk of rate-limiting. Default 10 works well for most runs.
## `h3Resolution` (type: `integer`):
Hexagonal grid resolution. Only used when Grid strategy = H3. 7 β 1.2 km radius (default), 8 β 460 m (dense urban), 6 β 3.5 km (rural).
## `adaptiveMinStepKm` (type: `number`):
Minimum cell radius before stopping subdivision. Only used when Grid strategy = Adaptive. Default 0.3 km prevents infinite subdivision in very dense areas.
## `queries` (type: `array`):
Legacy: search terms. Use 'searches' instead.
## `locationQuery` (type: `string`):
Legacy: location string. Use 'searches' instead.
## `maxPerCp` (type: `integer`):
Cap per postal-code cell (advanced).
## Actor input object example
```json
{
"searches": [
"restaurant Madrid Spain"
],
"maxResults": 20,
"language": "en",
"country": "us",
"enrich": false,
"maxReviews": 0,
"gridMode": "adaptive",
"gridStepKm": 2,
"concurrency": 10,
"h3Resolution": 7,
"adaptiveMinStepKm": 0.3,
"queries": [
"restaurant"
],
"locationQuery": "New York, USA",
"maxPerCp": 50
}
```
# Actor output Schema
## `dataset` (type: `string`):
Dataset con todas las fichas extraΓdas.
# 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 = {
"searches": [
"restaurant Madrid Spain"
],
"maxResults": 20,
"enrich": false,
"maxReviews": 0,
"postalCodes": "",
"provinceCode": "",
"queries": [
"restaurant"
],
"locationQuery": "New York, USA"
};
// Run the Actor and wait for it to finish
const run = await client.actor("rastriq/gmaps-discover-enrich").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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 = {
"searches": ["restaurant Madrid Spain"],
"maxResults": 20,
"enrich": False,
"maxReviews": 0,
"postalCodes": "",
"provinceCode": "",
"queries": ["restaurant"],
"locationQuery": "New York, USA",
}
# Run the Actor and wait for it to finish
run = client.actor("rastriq/gmaps-discover-enrich").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searches": [
"restaurant Madrid Spain"
],
"maxResults": 20,
"enrich": false,
"maxReviews": 0,
"postalCodes": "",
"provinceCode": "",
"queries": [
"restaurant"
],
"locationQuery": "New York, USA"
}' |
apify call rastriq/gmaps-discover-enrich --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=rastriq/gmaps-discover-enrich",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Maps Scraper β Places & Reviews (Worldwide)",
"description": "Extract business data from Google Maps worldwide: names, addresses, phones, websites, ratings, review histograms, popular times and more. No browser, fast, from $2 per 1,000 places. Search by keyword and location in any country.",
"version": "0.1",
"x-build-id": "QHGZkf37eEfbbCHvn"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/rastriq~gmaps-discover-enrich/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-rastriq-gmaps-discover-enrich",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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/rastriq~gmaps-discover-enrich/runs": {
"post": {
"operationId": "runs-sync-rastriq-gmaps-discover-enrich",
"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/rastriq~gmaps-discover-enrich/run-sync": {
"post": {
"operationId": "run-sync-rastriq-gmaps-discover-enrich",
"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": {
"searches": {
"title": "π Search",
"type": "array",
"description": "One search per line β type exactly as you would in Google Maps. Include the city or area in the search itself for the best results.
Examples:
β’ restaurant Madrid Spain
β’ dentist 28001
β’ hotel near Times Square New York",
"items": {
"type": "string"
}
},
"maxResults": {
"title": "Max places to extract",
"minimum": 0,
"type": "integer",
"description": "Maximum total places to extract across all searches. 0 = no limit (careful β large runs cost more). Start with 10β50 for a quick test.",
"default": 0
},
"language": {
"title": "Results language",
"enum": [
"en",
"af",
"az",
"id",
"ms",
"bs",
"ca",
"cs",
"da",
"de",
"et",
"es",
"es-419",
"eu",
"fil",
"fr",
"gl",
"hr",
"zu",
"is",
"it",
"sw",
"lv",
"lt",
"hu",
"nl",
"no",
"uz",
"pl",
"pt-BR",
"pt-PT",
"ro",
"sq",
"sk",
"sl",
"fi",
"sv",
"vi",
"tr",
"el",
"bg",
"ky",
"kk",
"mk",
"mn",
"ru",
"sr",
"uk",
"ka",
"hy",
"iw",
"ur",
"ar",
"fa",
"am",
"ne",
"hi",
"mr",
"bn",
"pa",
"gu",
"ta",
"te",
"kn",
"ml",
"si",
"th",
"lo",
"my",
"km",
"ko",
"ja",
"zh-CN",
"zh-TW"
],
"type": "string",
"description": "Language in which place names, categories and reviews will appear in the output.",
"default": "en"
},
"country": {
"title": "Search country",
"enum": [
"",
"us",
"af",
"al",
"dz",
"as",
"ad",
"ao",
"ai",
"aq",
"ag",
"ar",
"am",
"aw",
"au",
"at",
"az",
"bs",
"bh",
"bd",
"bb",
"by",
"be",
"bz",
"bj",
"bm",
"bt",
"bo",
"ba",
"bw",
"bv",
"br",
"io",
"bn",
"bg",
"bf",
"bi",
"kh",
"cm",
"ca",
"cv",
"ky",
"cf",
"td",
"cl",
"cn",
"cx",
"cc",
"co",
"km",
"cg",
"cd",
"ck",
"cr",
"ci",
"hr",
"cu",
"cy",
"cz",
"dk",
"dj",
"dm",
"do",
"ec",
"eg",
"sv",
"gq",
"er",
"ee",
"et",
"fk",
"fo",
"fj",
"fi",
"fr",
"gf",
"pf",
"tf",
"ga",
"gm",
"ge",
"de",
"gh",
"gi",
"gr",
"gl",
"gd",
"gp",
"gu",
"gt",
"gn",
"gw",
"gy",
"ht",
"hm",
"va",
"hn",
"hu",
"is",
"in",
"id",
"ir",
"iq",
"ie",
"il",
"it",
"jm",
"jp",
"jo",
"kz",
"ke",
"ki",
"kp",
"kr",
"kw",
"kg",
"la",
"lv",
"lb",
"ls",
"lr",
"ly",
"li",
"lt",
"lu",
"mo",
"mk",
"mg",
"mw",
"my",
"mv",
"ml",
"mt",
"mh",
"mq",
"mr",
"mu",
"yt",
"mx",
"fm",
"md",
"mc",
"mn",
"me",
"ms",
"ma",
"mz",
"mm",
"na",
"nr",
"np",
"nl",
"an",
"nc",
"nz",
"ni",
"ne",
"ng",
"nu",
"nf",
"mp",
"no",
"om",
"pk",
"pw",
"ps",
"pa",
"pg",
"py",
"pe",
"ph",
"pn",
"pl",
"pt",
"pr",
"qa",
"re",
"ro",
"ru",
"rw",
"sh",
"kn",
"lc",
"pm",
"vc",
"ws",
"sm",
"st",
"sa",
"sn",
"rs",
"sc",
"sl",
"sg",
"sk",
"si",
"sb",
"so",
"za",
"gs",
"ss",
"es",
"lk",
"sd",
"sr",
"sj",
"sz",
"se",
"ch",
"sy",
"tw",
"tj",
"tz",
"th",
"tl",
"tg",
"tk",
"to",
"tt",
"tn",
"tr",
"tm",
"tc",
"tv",
"ug",
"ua",
"ae",
"gb",
"um",
"uy",
"uz",
"vu",
"ve",
"vn",
"vg",
"vi",
"wf",
"eh",
"ye",
"zm",
"zw"
],
"type": "string",
"description": "Google Maps region for the search. Set this to the country you are targeting. Default is United States β change it when scraping another country.",
"default": "us"
},
"enrich": {
"title": "Extract rating histogram, popular times & extra contact details",
"type": "boolean",
"description": "When enabled, each place gets an extra request to fetch: star-rating histogram (1β5 stars), popular times chart, exact review count, photos count, booking URL and more detailed phone/contact info.",
"default": false
},
"maxReviews": {
"title": "Individual reviews per place",
"minimum": 0,
"maximum": 20,
"type": "integer",
"description": "Number of individual text reviews to extract per place (0 = none; the star histogram and popular times are still collected if the add-on is on). Each review is billed separately.",
"default": 0
},
"postalCodes": {
"title": "Postal codes",
"type": "string",
"description": "Spanish postal codes, comma-separated. Ranges allowed: 28001-28010. Runs an independent grid search per code."
},
"provinceCode": {
"title": "Province code (INE)",
"type": "string",
"description": "Two-digit INE province code β automatically generates every postal code in that province. Example: 28 = Madrid, 08 = Barcelona."
},
"gridMode": {
"title": "Grid strategy",
"enum": [
"adaptive",
"h3",
"fixed"
],
"type": "string",
"description": "How the search area is divided into cells when using postal-code / province mode.
Adaptive (recommended): automatically subdivides dense cells when Google's ~40-result cap is hit β gets more results in crowded areas without over-requesting sparse ones.
H3 hexagonal: Uber H3 tiling β ~15% less overlap between cells than squares.
Fixed square: original uniform grid.",
"default": "adaptive"
},
"gridStepKm": {
"title": "Grid cell size (km)",
"minimum": 0.5,
"maximum": 10,
"type": "number",
"description": "Size of each grid cell in kilometres. Smaller = more cells = better coverage in dense areas, but higher cost. Default 2 km is a good balance for most cities.",
"default": 2
},
"concurrency": {
"title": "Concurrency",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "Number of parallel requests. Higher = faster but higher risk of rate-limiting. Default 10 works well for most runs.",
"default": 10
},
"h3Resolution": {
"title": "H3 resolution",
"minimum": 5,
"maximum": 9,
"type": "integer",
"description": "Hexagonal grid resolution. Only used when Grid strategy = H3. 7 β 1.2 km radius (default), 8 β 460 m (dense urban), 6 β 3.5 km (rural).",
"default": 7
},
"adaptiveMinStepKm": {
"title": "Adaptive min cell size (km)",
"minimum": 0.1,
"maximum": 2,
"type": "number",
"description": "Minimum cell radius before stopping subdivision. Only used when Grid strategy = Adaptive. Default 0.3 km prevents infinite subdivision in very dense areas.",
"default": 0.3
},
"locationQuery": {
"title": "locationQuery",
"type": "string",
"description": "Legacy: location string. Use 'searches' instead."
},
"maxPerCp": {
"title": "maxPerCp",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Cap per postal-code cell (advanced).",
"default": 50
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```