# Amazon Review Analyzer & Product Opportunity Finder (`catandgoose/amazon-review-intelligence`) Actor

Scrape Amazon reviews into a product-opportunity verdict: complaint clusters, unmet needs & a go/no-go score. Pay-per-use, never billed for empty runs.

- **URL**: https://apify.com/catandgoose/amazon-review-intelligence.md
- **Developed by:** [Cat & Goose](https://apify.com/catandgoose) (community)
- **Categories:** AI, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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

## Amazon Reviews Scraper + AI Product Research & Opportunity Finder

**Scrape Amazon reviews and turn them into a seller-facing product-opportunity verdict** — complaint clusters, unmet-need gaps, differentiation angles, and a go / no-go score — plus a shareable HTML report for every product. This Amazon review scraper does the analysis most tools leave to you: it reads the review corpus, finds the recurring pain points, and tells you whether there's room to build a better product. And it **never charges you for an empty run** — the number-one complaint about every other Amazon review scraper on the market.

Where a SaaS suite like SmartScout ($29–187/mo), Helium 10 ($39–279/mo), or SellerSprite ($70/mo) locks review analysis behind a monthly subscription, this actor runs pay-per-use: analyze one product for a few cents, or a hundred on a schedule, and pay only for verdicts that actually land.

### How does the Amazon Review Analyzer work?

The actor collects Amazon review signals and distills them into a structured product-opportunity report:

- **Complaint clusters** — the recurring problems buyers report, each with a severity rating and rough mention share (frequency × severity is exactly how experienced sellers prioritize).
- **Unmet needs & gaps** — features and fixes customers keep asking for, i.e. demand you could capture.
- **Differentiation angles** — concrete ways a new entrant could beat the incumbent, grounded in the review evidence.
- **What the incumbent owns** — the praise pillars you'd have to match to compete.
- **Opportunity verdict** — a 0–100 score, a demand-vs-saturation read, and a plain-English go / conditional-go / no-go recommendation.
- **Shareable HTML report** — a clean, self-contained report page per product (public URL), ready to send to a client or partner.

### Three ways to get the reviews (pick your depth)

Amazon gates its full review list behind a login, so this actor gives you three input modes instead of one brittle scraper that breaks on it:

1. **Snapshot mode (anonymous, zero setup — recommended default).** Scrapes the public product page: top reviews, the full star-rating histogram, and **Amazon's own "Customers say" aspect sentiment analysis** (per-aspect summaries with representative quotes). Rich, instant, no login, no cookies.
2. **Cookies mode (full depth).** Paginates the complete review list using *your own* Amazon session cookies — for when you need every review, not just the product-page sample.
3. **Dataset mode (analyze what you already have).** Point the actor at any existing Apify dataset of reviews — from *any* review scraper — and get the opportunity verdict on data you've already collected.

### Amazon Review Analyzer vs. other tools

| | This actor | junglee/amazon-reviews-scraper | SmartScout / Helium 10 / SellerSprite |
|---|---|---|---|
| Pricing model | Pay-per-use (from ~$0.02/product) | Pay-per-use | $29–279 / month subscription |
| Charges on empty runs | **Never** | Yes (top complaint) | N/A |
| Multi-product batch | **Yes, reliable** | Frequently broken | Yes |
| Product-opportunity verdict | **Built in** | No (raw reviews only) | Partial / add-on |
| Shareable HTML report | **Yes** | No | No |
| Analysis included, no key setup | **Yes** | N/A | N/A |
| Analyze an existing dataset | **Yes** | No | No |

The incumbent Amazon review scraper on the Apify Store has over 10,000 users but a 2.34★ rating — because it charges for empty runs, caps reviews, and breaks on multi-product input. This actor is built to fix exactly those failures and add the analysis layer on top.

### What data can you extract from Amazon reviews?

Every run outputs one structured row per product, containing:

- Product title, brand, ASIN, average rating, and total rating count
- The full star-rating histogram (percentage at each of the 5 star levels)
- Amazon's "Customers say" summary and per-aspect sentiment chips (with representative snippets)
- The scraped review corpus (in cookies mode) or product-page reviews (in snapshot mode)
- The complete insight object: complaint clusters, unmet needs, differentiation angles, praise pillars, and the opportunity verdict
- A public URL to the rendered HTML opportunity report

### How to use the Amazon Review Analyzer

1. Choose a **mode** (start with `snapshot` — no setup).
2. Paste one or more **ASINs or Amazon product URLs** (multi-product batches work reliably).
3. Leave **Generate verdict** on to get the full opportunity report.
4. (Optional) Add **competitor ASINs** for side-by-side context, or switch to cookies/dataset mode for full-corpus depth.
5. Run it — each product returns a data row plus a shareable report link. Schedule it to track how a niche's complaints and ratings shift over time.

### Pricing

Pay-per-event — you pay for results, never for empty runs.

| Event | Price | When it fires |
|---|---|---|
| Product snapshot scraped | ~$0.02 / product | Snapshot mode, per product with real data |
| Review scraped | $0.0025 / review | Cookies mode, per review collected |
| Product opportunity verdict | $0.40 / product | Per opportunity report generated |
| Analysis overflow | $0.20 / 1,000 reviews | Only above your analysis cap |

**Example:** a snapshot + opportunity verdict on one product costs about **$0.42** — versus a $29–$70/month subscription you'd pay whether you analyze one product or none. Research ten products for roughly the price of a coffee, with no monthly commitment.

#### Example input

```json
{
  "mode": "snapshot",
  "asins": ["B09B8V1LZ3", "B0BSHF7WHW"],
  "marketplace": "com",
  "maxReviewsAnalyzed": 1000
}
````

#### Example output (abridged)

```json
{
  "asin": "B09B8V1LZ3",
  "title": "Amazon Echo Dot (newest model)",
  "avgRating": 4.7,
  "totalRatings": 195514,
  "histogram": { "5star": 82, "4star": 11, "3star": 3, "2star": 1, "1star": 3 },
  "insight": {
    "complaintClusters": [
      { "label": "Connectivity drops", "severity": "high", "mentionShare": "~18%", "summary": "Repeated Wi-Fi disconnects requiring re-setup." }
    ],
    "unmetNeeds": ["Reliable multi-room sync", "Privacy-first mode with a hardware mic cut"],
    "differentiationAngles": ["Position on rock-solid connectivity vs. the incumbent's drop complaints"],
    "verdict": {
      "opportunityScore": 62,
      "recommendation": "conditional-go",
      "oneLine": "Enter only with a defensible wedge on connectivity or privacy."
    }
  },
  "reportUrl": "https://api.apify.com/v2/key-value-stores/.../records/report-B09B8V1LZ3"
}
```

### Who uses this Amazon review scraper?

- **Amazon FBA sellers doing product research** — decide whether a niche is worth entering before you source inventory.
- **Private-label brand builders** — turn a competitor's 1- and 3-star reviews into your product roadmap.
- **Product researchers & sourcing agents** — screen dozens of ASINs a day for solvable, high-frequency complaints.
- **Agencies & consultants** — hand clients a branded, shareable opportunity report instead of a spreadsheet.
- **Market analysts** — track how sentiment and complaint themes shift across a category over time with scheduled runs.
- **Existing scraper users** — already have review data in Apify? Run dataset mode and get the verdict without re-scraping.

### Frequently asked questions

**How many Amazon reviews should I analyze for product research?** Around 100 reviews is enough for a single product read, and 500+ across competitors reveals category-level patterns. 3-star reviews carry the most balanced signal. The actor's analysis cap defaults to 1,000 — plenty for theme convergence — and you're only billed for overflow beyond it.

**Can it analyze all of a product's reviews?** Amazon requires a login to page through the full review list. Snapshot mode returns the product-page reviews plus Amazon's own aspect-level analysis (rich, and enough for a solid verdict); cookies mode, using your own Amazon session, unlocks full review-list pagination.

**Does it charge me if a product has no reviews or the run fails?** No. Charging is guarded — an empty result produces no billable event. This is the single biggest fix versus the incumbent Amazon review scraper.

**Do I need my own API key or a separate subscription?** No. Everything is bundled — no bring-your-own-key setup and no extra accounts to manage. It works out of the box.

**Can I compare two products side by side?** Yes. Add competitor ASINs and each is scraped and analyzed alongside your primary product for a direct comparison.

**Which Amazon marketplaces are supported?** US (.com) is the primary target, with .co.uk, .de, .ca, .com.au, .fr, .es, and .it selectable.

**Is this cheaper than Helium 10 or SmartScout for review analysis?** For occasional or batch product research, yes — you pay a few cents per product instead of $29–$279 every month, with no subscription.

**Can I analyze reviews I already scraped with another tool?** Yes — dataset mode reads any Apify dataset of reviews and runs the opportunity verdict on it, no re-scraping needed.

### Limitations (the honest version)

- **Full review pagination requires login.** Snapshot mode is anonymous and returns the product-page reviews plus Amazon's aspect analysis — genuinely rich, but not the entire review corpus. Use cookies mode with your own session for full depth. High-volume pagination on a personal account carries the usual Amazon account-activity risk; use an account you're comfortable with.
- **Turning the verdict off gives you scrape-only output.** With **Generate verdict** unchecked, the actor still scrapes and outputs the full review data — just without the opportunity report.
- **Amazon changes its page structure frequently.** The parser is built with fallbacks and degrades gracefully, but layout drift can occasionally reduce what's captured on a given day.
- **Residential proxies are strongly recommended** for Amazon and are used by default.

# Actor input Schema

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

How to get the reviews. 'snapshot' = anonymous product-page scrape (top reviews + rating histogram + Amazon's 'Customers say' summary), zero setup. 'cookies' = full review pagination using your own Amazon session cookies. 'dataset' = analyze reviews already collected in an Apify dataset (from any scraper).

## `asins` (type: `array`):

Amazon ASINs (e.g. B09B8V1LZ3) or full product URLs. Used by snapshot and cookies modes.

## `marketplace` (type: `string`):

Amazon marketplace domain to scrape.

## `runAiAnalysis` (type: `boolean`):

Turn the review corpus into complaint clusters, unmet-need gaps, and a go/no-go opportunity verdict. Turn off for scrape-only runs.

## `maxReviews` (type: `integer`):

Upper bound on reviews collected per product in cookies mode. Snapshot mode returns whatever the product page exposes (typically 8-100).

## `maxReviewsAnalyzed` (type: `integer`):

Caps analysis cost. Complaint themes converge fast, so 300-1000 high-signal reviews usually capture every theme. Reviews above this cap are billed per 1,000 via the analysis-overflow event.

## `maxAiSpendUsd` (type: `integer`):

Safety ceiling on this run's estimated analysis cost. Once hit, remaining products in a batch are scraped without an opportunity verdict rather than continuing to spend. Raise this for large multi-ASIN batches.

## `competitorAsins` (type: `array`):

Optional competitor products for a side-by-side verdict. Each competitor is scraped and analyzed like a primary ASIN.

## `datasetId` (type: `string`):

Apify dataset containing review rows to analyze. Used only when mode = 'dataset'. Pick one of your datasets, or paste a dataset ID.

## `datasetReviewField` (type: `string`):

The field in each dataset row that holds the review text (e.g. 'reviewText', 'body', 'text').

## `datasetRatingField` (type: `string`):

Optional field holding the star rating (e.g. 'rating', 'stars').

## `sessionCookies` (type: `string`):

Your own Amazon session cookies, used only in cookies mode to paginate the full review list. Paste the raw Cookie header string or JSON array of {name,value} pairs exported from your browser. WARNING: these come from your logged-in Amazon account — high-volume pagination may trigger Amazon account checks. Use an account you're comfortable with, and never share this value.

## `proxyConfiguration` (type: `object`):

Residential proxies strongly recommended for Amazon. Defaults to Apify residential.

## Actor input object example

```json
{
  "mode": "snapshot",
  "asins": [
    "B09B8V1LZ3"
  ],
  "marketplace": "com",
  "runAiAnalysis": true,
  "maxReviews": 500,
  "maxReviewsAnalyzed": 1000,
  "maxAiSpendUsd": 5,
  "datasetReviewField": "reviewText",
  "datasetRatingField": "rating",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "asins": [
        "B09B8V1LZ3"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("catandgoose/amazon-review-intelligence").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 = { "asins": ["B09B8V1LZ3"] }

# Run the Actor and wait for it to finish
run = client.actor("catandgoose/amazon-review-intelligence").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 '{
  "asins": [
    "B09B8V1LZ3"
  ]
}' |
apify call catandgoose/amazon-review-intelligence --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Amazon Review Analyzer & Product Opportunity Finder",
        "description": "Scrape Amazon reviews into a product-opportunity verdict: complaint clusters, unmet needs & a go/no-go score. Pay-per-use, never billed for empty runs.",
        "version": "0.1",
        "x-build-id": "vjt58QgfMZKOh3crF"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/catandgoose~amazon-review-intelligence/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-catandgoose-amazon-review-intelligence",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/catandgoose~amazon-review-intelligence/runs": {
            "post": {
                "operationId": "runs-sync-catandgoose-amazon-review-intelligence",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/catandgoose~amazon-review-intelligence/run-sync": {
            "post": {
                "operationId": "run-sync-catandgoose-amazon-review-intelligence",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": "Input mode",
                        "enum": [
                            "snapshot",
                            "cookies",
                            "dataset"
                        ],
                        "type": "string",
                        "description": "How to get the reviews. 'snapshot' = anonymous product-page scrape (top reviews + rating histogram + Amazon's 'Customers say' summary), zero setup. 'cookies' = full review pagination using your own Amazon session cookies. 'dataset' = analyze reviews already collected in an Apify dataset (from any scraper).",
                        "default": "snapshot"
                    },
                    "asins": {
                        "title": "ASINs or product URLs",
                        "type": "array",
                        "description": "Amazon ASINs (e.g. B09B8V1LZ3) or full product URLs. Used by snapshot and cookies modes.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "marketplace": {
                        "title": "Marketplace",
                        "enum": [
                            "com",
                            "co.uk",
                            "de",
                            "ca",
                            "com.au",
                            "fr",
                            "es",
                            "it"
                        ],
                        "type": "string",
                        "description": "Amazon marketplace domain to scrape.",
                        "default": "com"
                    },
                    "runAiAnalysis": {
                        "title": "Generate product-opportunity verdict",
                        "type": "boolean",
                        "description": "Turn the review corpus into complaint clusters, unmet-need gaps, and a go/no-go opportunity verdict. Turn off for scrape-only runs.",
                        "default": true
                    },
                    "maxReviews": {
                        "title": "Max reviews to scrape per ASIN (cookies mode)",
                        "minimum": 10,
                        "maximum": 10000,
                        "type": "integer",
                        "description": "Upper bound on reviews collected per product in cookies mode. Snapshot mode returns whatever the product page exposes (typically 8-100).",
                        "default": 500
                    },
                    "maxReviewsAnalyzed": {
                        "title": "Max reviews analyzed per ASIN",
                        "minimum": 50,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Caps analysis cost. Complaint themes converge fast, so 300-1000 high-signal reviews usually capture every theme. Reviews above this cap are billed per 1,000 via the analysis-overflow event.",
                        "default": 1000
                    },
                    "maxAiSpendUsd": {
                        "title": "Max analysis spend for this run (USD)",
                        "minimum": 1,
                        "maximum": 100,
                        "type": "integer",
                        "description": "Safety ceiling on this run's estimated analysis cost. Once hit, remaining products in a batch are scraped without an opportunity verdict rather than continuing to spend. Raise this for large multi-ASIN batches.",
                        "default": 5
                    },
                    "competitorAsins": {
                        "title": "Competitor ASINs (optional)",
                        "type": "array",
                        "description": "Optional competitor products for a side-by-side verdict. Each competitor is scraped and analyzed like a primary ASIN.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "datasetId": {
                        "title": "Source dataset (dataset mode)",
                        "type": "string",
                        "description": "Apify dataset containing review rows to analyze. Used only when mode = 'dataset'. Pick one of your datasets, or paste a dataset ID."
                    },
                    "datasetReviewField": {
                        "title": "Review text field name",
                        "type": "string",
                        "description": "The field in each dataset row that holds the review text (e.g. 'reviewText', 'body', 'text').",
                        "default": "reviewText"
                    },
                    "datasetRatingField": {
                        "title": "Rating field name",
                        "type": "string",
                        "description": "Optional field holding the star rating (e.g. 'rating', 'stars').",
                        "default": "rating"
                    },
                    "sessionCookies": {
                        "title": "Amazon session cookies (cookies mode)",
                        "type": "string",
                        "description": "Your own Amazon session cookies, used only in cookies mode to paginate the full review list. Paste the raw Cookie header string or JSON array of {name,value} pairs exported from your browser. WARNING: these come from your logged-in Amazon account — high-volume pagination may trigger Amazon account checks. Use an account you're comfortable with, and never share this value."
                    },
                    "proxyConfiguration": {
                        "title": "Proxy configuration",
                        "type": "object",
                        "description": "Residential proxies strongly recommended for Amazon. Defaults to Apify residential.",
                        "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```