# Tiktok Shop Product All Data Scraper \[No Login Required] ✅ (`datamagnet/tiktok-shop-product-all-data-scraper-no-login-required`) Actor

Fetches TikTok Shop product detail, reviews, sales trend, and seller data for a list of product IDs in a given region, and merges them into a single combined record per product.

- **URL**: https://apify.com/datamagnet/tiktok-shop-product-all-data-scraper-no-login-required.md
- **Developed by:** [Datamagnet](https://apify.com/datamagnet) (community)
- **Categories:** Social media, E-commerce, Lead generation
- **Stats:** 4 total users, 3 monthly users, 77.8% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $25.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Tiktok Shop Product All Data Scraper

Get combined **TikTok Shop product data** — listing details, pricing, sales performance, customer reviews, price/sales trend history, and seller information — merged into a single structured JSON record per product ID. No browser automation, no TikTok login, no scraping fragile HTML: just a product ID and a region in, a clean dataset out.

Built for dropshippers, TikTok Shop sellers, market researchers, and e-commerce analysts who need reliable, structured TikTok Shop data at scale instead of manually opening dozens of product pages.

### What this actor does

For every product ID you provide, the actor fetches and merges:

- **Product details** — name, category, price range, SKUs/variants, specifications, description blocks, images, commission rate, and lifetime + rolling-window (1d/7d/15d/30d/60d/90d) sales, views, video, and livestream stats.
- **Sales & price trend history** — a ~60-day time series of price and sales snapshots so you can see whether a product is trending up or down.
- **Customer reviews** — the most recent reviews with rating, review text, reviewer country, and seller replies.
- **Seller/shop information** — seller name, rating, total sales volume, GMV, product count, and linked creator/influencer profile when available.

Product IDs are processed in parallel (up to 5 concurrent lookups) for fast bulk runs, with automatic retries on transient upstream failures. If a specific product ID can't be found or a lookup fails, that record gets an `error` field instead — one bad ID never stops the rest of the batch.

### Key features

- **Bulk lookup** — pass any number of product IDs in one run, one dataset row per ID.
- **All-in-one record** — product, reviews, trend history, and seller data merged, so you don't have to call multiple endpoints or actors yourself.
- **Price & sales trend history** — spot rising or declining products without tracking them manually over time.
- **Review sentiment at a glance** — recent ratings and review text per product, ready for sentiment analysis or QA.
- **Seller due-diligence data** — check a seller's rating, sales volume, and product count before sourcing from or competing with them.
- **Resilient by design** — automatic retries with backoff on upstream errors/rate limits, and per-product error isolation so partial failures don't sink the whole run.
- **Stable, predictable schema** — every output record has the same field shape, with `null`/empty placeholders when the upstream source doesn't provide a value for that product, so downstream pipelines never break on a missing key.
- **Region-aware** — works across TikTok Shop marketplaces (e.g. `US`, `GB`, `FR`) by simply passing the region code.

### Use cases

| Use case | How this actor helps |
|---|---|
| **Dropshipping product research** | Bulk-check price, sales volume, and trend direction for a shortlist of candidate products before committing to them. |
| **Competitor / price monitoring** | Re-run the same product IDs on a schedule and diff `min_price`/`max_price`/`spu_avg_price` and sales counts over time. |
| **Winning product discovery** | Use `product_trends_data` to spot products with accelerating sales or rising video/livestream activity. |
| **Supplier / seller vetting** | Check `seller_info` (rating, `sale_cnt`, `gmv_amt`, `total_product_cnt`) before sourcing from a seller or partnering with them. |
| **Customer sentiment analysis** | Feed `review_items` into an LLM or sentiment model to summarize what buyers like or complain about. |
| **Catalog & feed enrichment** | Enrich an existing product catalog or ad feed with live TikTok Shop pricing and stats via the Apify API. |
| **Market/category research** | Aggregate stats across many product IDs in a category to benchmark pricing and demand. |

### How it works

1. You submit a list of `product_ids` and a `region`.
2. For each ID, the actor calls the upstream data provider in parallel for: product detail, recent reviews, and price/sales trend history.
3. If the product has a seller ID, it also fetches seller details and, when linked, the seller's creator/influencer profile.
4. All responses are merged into one record shaped like the example below and pushed to the dataset — one row per product ID, in any order (since requests run concurrently).
5. Failed or not-found lookups get a short, safe `error` message instead of raw upstream error details.

### Input

| Field | Type | Required | Description |
|---|---|---|---|
| `product_ids` | array of strings | yes | One or more TikTok Shop product IDs to fetch data for. One output record is produced per ID. |
| `region` | string | yes | The TikTok Shop marketplace/region code the product belongs to, e.g. `FR`, `US`, `GB`. |

Example input:

```json
{
  "product_ids": ["1729502416141458141", "1729482902684408566"],
  "region": "FR"
}
````

> **Where to find a product ID:** it's the long numeric ID in a TikTok Shop product URL (e.g. `.../product/1729502416141458141`).

### Output

The actor produces one dataset item per requested product ID. Example output item (truncated):

```json
{
  "product_id": "1729502416141458141",
  "product_name": "Pistolet de Massage Musculaire, Anti-Douleur Sportif Massage gun...",
  "region": "FR",
  "category_id": "601450",
  "min_price": 28.51,
  "max_price": 28.51,
  "spu_avg_price": 31.17,
  "skus": "[{\"sku_id\":\"1729502416141523677\",\"real_price\":{\"price_str\":\"24,58 €\",\"price_val\":\"24.58\",\"currency\":\"EUR\"},\"stock\":396}]",
  "total_sale_cnt": 39,
  "total_sale_gmv_amt": 942.74,
  "total_views_cnt": 1493,
  "product_rating": 4,
  "review_count": 6,
  "product_trends_data": [
    { "dt": "2026-05-08", "spu_avg_price": 32.15, "total_sale_cnt": 35, "total_sale_gmv_amt": 815.88 }
  ],
  "review_items": [
    {
      "review": {
        "rating": 5,
        "display_text": "Yes just what I wanted",
        "review_timestamp_fmt": "16 March 2025",
        "review_country": "United States",
        "reply_main_review": "Thank you for this review!"
      },
      "review_user": { "name": "E**t R**s" },
      "digg_count": 0
    }
  ],
  "seller_info": {
    "seller_id": "8647242393349951222",
    "seller_name": "JOYOYO Beauty",
    "seller_rating": 4.2,
    "sale_cnt": 6235,
    "gmv_amt": 43405.81,
    "total_product_cnt": 34,
    "region": { "id": "FR", "name": null, "key": null }
  }
}
```

If a product ID can't be found or the upstream lookup fails, its record instead contains just `product_id`, `region`, and an `error` string describing what went wrong (e.g. `"Product not found."`), so failures for one product don't stop the rest of the batch.

#### A few things to know about the output shape

- **Several fields are JSON-encoded strings, not native arrays/objects**: `cover_url`, `desc_detail`, `sale_props`, `skus`, and `specification` are passed through from the upstream source as stringified JSON. Parse them (`JSON.parse()` / `json.loads()`) before using their contents.
- **Placeholders are always present, even when unavailable.** Fields the upstream source doesn't return for a given product/seller (for example `seller_info.category`, `seller_info.influencer`, reviewer avatar/country in some regions, or seller response-rate/positive-feedback-rate) are still present in the output as `null` or `""`, so downstream consumers can rely on a stable schema instead of checking for missing keys.
- **Currency** follows the requested `region`'s local marketplace currency (also visible per-SKU inside the `skus` field's `real_price.currency`).
- **`influencer_list` and `video_list`** are reserved fields, always returned as empty arrays for schema stability.

### Output field reference

#### Core product fields

| Field | Type | Description |
|---|---|---|
| `product_id` | string | The requested TikTok Shop product ID. |
| `product_name` | string | Product title. |
| `region` | string | Region code the product was fetched for. |
| `category_id` / `category_l2_id` / `category_l3_id` | string | Category taxonomy IDs at 3 levels. |
| `min_price` / `max_price` | number | Price range across all SKUs, in the region's local currency. |
| `spu_avg_price` | number | Average sale price across recent transactions. |
| `discount` | string | Discount label, `"-"` if none. |
| `free_shipping` | int (0/1) | Whether free shipping is offered. |
| `product_commission_rate` | number | Affiliate/commission rate for the product. |
| `skus` | string (JSON) | Variants with SKU ID, sale properties, price, and stock. |
| `sale_props` | string (JSON) | Variant option definitions (e.g. color, size). |
| `specification` | string (JSON) | Product spec sheet (name/value pairs). |
| `desc_detail` | string (JSON) | Rich product description (text + image blocks). |
| `cover_url` | string (JSON) | Product cover images with display order. |
| `seller_id` | string | ID of the seller/shop for this product — used to fetch `seller_info`. |
| `first_crawl_dt` | int (YYYYMMDD) | Date the product was first indexed by the data source. |

#### Lifetime & windowed performance metrics

The following metric families are each returned as a **lifetime total** plus **rolling windows**: `1d`, `7d`, `15d`, `30d`, `60d`, `90d` (e.g. `total_sale_cnt`, `total_sale_7d_cnt`, `total_sale_30d_cnt`, …).

| Metric family | Description |
|---|---|
| `total_sale_*_cnt` / `total_sale_gmv_*_amt` | Units sold and gross merchandise value. |
| `total_views_*_cnt` | Product page views. |
| `total_video_*_cnt` / `total_video_sale_*_cnt` / `total_video_sale_gmv_*_amt` | Short videos featuring the product, and sales attributed to video. |
| `total_live_*_cnt` / `total_live_sale_*_cnt` / `total_live_sale_gmv_*_amt` | Livestreams featuring the product, and sales attributed to livestreams. |
| `total_ifl_*_cnt` / `total_ifl_video_*_cnt` / `total_ifl_live_*_cnt` | Number of distinct creators/influencers promoting the product, overall and via video/livestream. |

#### `product_trends_data` (array)

A time-series snapshot covering roughly the last 60 days, one entry approximately every few days.

| Field | Type | Description |
|---|---|---|
| `dt` | string (date) | Snapshot date. |
| `spu_avg_price` | number | Average price on that date. |
| `total_sale_cnt` / `total_sale_1d_cnt` | int | Cumulative and that-day unit sales. |
| `total_sale_gmv_amt` / `total_sale_gmv_1d_amt` | number | Cumulative and that-day GMV. |
| `total_video_cnt` / `total_live_cnt` / `total_ifl_cnt` | int | Video, livestream, and influencer counts as of that date. |

#### Reviews & ratings

| Field | Type | Description |
|---|---|---|
| `product_rating` | number | Overall product star rating. |
| `review_count` | int | Number of reviews included in this run (most recent page, up to 20). |
| `review_count_str` / `review_count_str_v2` | string | Display-formatted review count, e.g. `"(6)"`. |
| `top_text` | string | UI label from the source, e.g. "Pick authentic and helpful reviews for you". |
| `review_items[]` | array | Individual reviews, see below. |
| `review_card_ui_ab` | object | Internal UI/A-B-test metadata from the source; safe to ignore. |

Each entry in `review_items[]`:

| Field | Type | Description |
|---|---|---|
| `review.rating` | int | Star rating (1–5). |
| `review.display_text` | string | Review text. |
| `review.review_timestamp_fmt` | string | Human-readable review date. |
| `review.review_country` | string | Reviewer's country, when available. |
| `review.reply_main_review` | string | Seller's reply to the review, if any. |
| `review_user.name` | string | Masked reviewer name (e.g. `"E**t R**s"`). |
| `sku_id` / `sku_specification` | string | Which product variant was reviewed. |
| `digg_count` | int | Number of likes on the review. |
| `review_source_name` | string | e.g. `"Verified purchase"`. |

#### `seller_info` (object)

| Field | Type | Description |
|---|---|---|
| `seller_id` / `seller_name` / `seller_link` | string | Seller identity. |
| `profile_url` | string or null | Link to the seller's TikTok creator profile, when linked to a TikTok account. |
| `seller_rating` | number | Seller's overall rating. |
| `images` | array of strings | Seller/shop cover image(s). |
| `region` | object | `{ id, name, key }` — `name`/`key` are placeholders (`null`) today. |
| `influencer` | object or null | Linked creator profile (`user_id`, `unique_id`, `nick_name`, `profile_url`, `avatar_url`, follower/video/like counts) when the seller is tied to a TikTok creator account; `null` otherwise. |
| `sale_cnt` / `sale_30d_cnt` | number | Lifetime and last-30-day units sold across the seller's catalog. |
| `gmv_amt` / `gmv_30d_amt` | number | Lifetime and last-30-day gross merchandise value. |
| `total_ifl_cnt` | number | Influencers promoting this seller's products. |
| `total_video_cnt` / `total_live_cnt` | number | Videos/livestreams featuring this seller's products. |
| `total_product_cnt` / `seller_product_cnt` | number | Products listed / indexed for this seller. |
| `first_time` | int (YYYYMMDD) | Date the seller was first indexed. |
| `category` | null | Placeholder — not returned by the upstream source. |
| `review_count` / `followers_count` / `response_rate` / `positive_feedback_rate` | string | Placeholders (empty string `""`) — not returned by the upstream source today. |

#### Error records

If a lookup fails, the dataset item is just:

```json
{
  "product_id": "1729502416141458141",
  "region": "FR",
  "error": "Product not found."
}
```

Other possible `error` messages: `"Failed to fetch product details from the upstream data provider."`, `"Upstream data provider rejected the request (authentication error)."`, `"Upstream data provider rate limit reached; please retry later."`, `"Upstream data provider is temporarily unavailable; please retry later."`, or `"Failed to reach the upstream data provider; please retry later."`

### FAQ

**What TikTok Shop regions/marketplaces are supported?**
Any region/country code supported by the underlying data source (e.g. `US`, `GB`, `FR`, `DE`). Pass the code that matches the product's TikTok Shop marketplace.

**How many product IDs can I submit in one run?**
There's no hard limit in the input — submit as many as you need. They're processed with up to 5 concurrent lookups at a time to keep runs fast without overloading the data source.

**How far back does the price/sales trend history go?**
Roughly the last 60 days.

**How many reviews do I get per product?**
The most recent page of reviews available at run time (up to 20), not the full review history.

**What happens if a product ID is invalid, removed, or the lookup fails?**
That record contains `product_id`, `region`, and an `error` field describing the issue — it won't stop or fail the rest of the batch.

**Can I get just reviews or just seller data, without the full product record?**
No — this actor always returns the combined record. If you only need one piece (e.g. just reviews), simply read that field from the output and ignore the rest.

**Is the price in USD or local currency?**
Prices reflect the local currency of the marketplace specified in `region` (also visible per-SKU in the `skus` field's `real_price.currency`).

**Why are some fields `null` or empty?**
The upstream data source doesn't provide certain fields for every product or seller (e.g. seller response rate, some reviewer details). Those fields are still included as `null`/`""` rather than omitted, so your integration's schema never breaks on a missing key.

### Notes

- Product IDs are batched in parallel (up to 5 concurrent lookups at a time) to keep runs fast without overloading the data source.
- Reviews reflect the most recent page (up to 20) available for the product at run time, not full review history.
- Trend data covers roughly the last 60 days.
- Requests to the upstream data source are automatically retried on transient failures; persistent failures are reported per-product via the `error` field rather than failing the whole run.

# Actor input Schema

## `product_ids` (type: `array`):

TikTok Shop product IDs to fetch data for (bulk supported, one output record per ID).

## `region` (type: `string`):

TikTok Shop marketplace region/country code. Supported regions: US, GB, DE, FR, IT, ID, MY, MX, PH, SG, ES, TH, VN, BR, JP, IE.

## Actor input object example

```json
{
  "product_ids": [
    "1729502416141458141"
  ],
  "region": "US"
}
```

# 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 = {
    "product_ids": [
        "1729502416141458141"
    ],
    "region": "US"
};

// Run the Actor and wait for it to finish
const run = await client.actor("datamagnet/tiktok-shop-product-all-data-scraper-no-login-required").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 = {
    "product_ids": ["1729502416141458141"],
    "region": "US",
}

# Run the Actor and wait for it to finish
run = client.actor("datamagnet/tiktok-shop-product-all-data-scraper-no-login-required").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 '{
  "product_ids": [
    "1729502416141458141"
  ],
  "region": "US"
}' |
apify call datamagnet/tiktok-shop-product-all-data-scraper-no-login-required --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=datamagnet/tiktok-shop-product-all-data-scraper-no-login-required",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Tiktok Shop Product All Data Scraper [No Login Required] ✅",
        "description": "Fetches TikTok Shop product detail, reviews, sales trend, and seller data for a list of product IDs in a given region, and merges them into a single combined record per product.",
        "version": "0.0",
        "x-build-id": "XqXCrbd3Q7Hba93Hv"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/datamagnet~tiktok-shop-product-all-data-scraper-no-login-required/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-datamagnet-tiktok-shop-product-all-data-scraper-no-login-required",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/datamagnet~tiktok-shop-product-all-data-scraper-no-login-required/runs": {
            "post": {
                "operationId": "runs-sync-datamagnet-tiktok-shop-product-all-data-scraper-no-login-required",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/datamagnet~tiktok-shop-product-all-data-scraper-no-login-required/run-sync": {
            "post": {
                "operationId": "run-sync-datamagnet-tiktok-shop-product-all-data-scraper-no-login-required",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "product_ids",
                    "region"
                ],
                "properties": {
                    "product_ids": {
                        "title": "Product IDs",
                        "type": "array",
                        "description": "TikTok Shop product IDs to fetch data for (bulk supported, one output record per ID).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "region": {
                        "title": "Region",
                        "type": "string",
                        "description": "TikTok Shop marketplace region/country code. Supported regions: US, GB, DE, FR, IT, ID, MY, MX, PH, SG, ES, TH, VN, BR, JP, IE."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```