# ATS Tech Stack Detector (`devilscrapes/builtwith-alternative-scraper`) Actor

Extract company tech stacks from Greenhouse, Lever, and Ashby job posts via their public APIs — detects 100+ frameworks, databases, and cloud platforms from live job descriptions — export to JSON or CSV. B2B sales intel without the SaaS bill.

- **URL**: https://apify.com/devilscrapes/builtwith-alternative-scraper.md
- **Developed by:** [DevilScrapes](https://apify.com/devilscrapes) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

<img src=".actor/icon.svg" width="160" alt="ATS Tech Stack Detector" />

## ATS Tech Stack Detector — Greenhouse, Lever & Ashby

**$5.05 / 1 000 rows** &nbsp;·&nbsp; pay only for results &nbsp;·&nbsp; no credit card to try

_We do the dirty work so your dataset stays clean._ 😈

**B2B tech-stack intel from public job posts — no SaaS subscription.** Point this Actor at any company's Greenhouse, Lever, or Ashby board and get one structured row per active job, including a deduplicated list of canonical tech names (Postgres, Django, AWS, Kubernetes…) detected directly from the job description.

Sales reps qualifying accounts, recruiters sourcing by skill, and competitive-intelligence analysts mapping vendor footprint all need this signal. Commercial tools (TheirStack, Wappalyzer, BuiltWith) charge subscription fees for the same data — and they sniff front-end JS, not the back-end stack. This ATS tech stack detector reads the job descriptions where engineering teams declare their actual infrastructure.

### 🎯 What this scrapes

Three ATS platforms, one unified schema:

1. **Greenhouse** — `boards-api.greenhouse.io/v1/boards/{token}/jobs?content=true`
2. **Lever** — `api.lever.co/v0/postings/{token}`
3. **Ashby** — `api.ashbyhq.com/posting-api/job-board/{token}` (token is **case-sensitive** — `Ramp`, not `ramp`)

For each active job posting the Actor pulls the title, location, department, full description, and public URL — then runs a case-insensitive word-boundary regex against a curated vocabulary of ~110 canonical tech names. The result is a single `detected_techs` column you can pivot or filter without any per-company string normalisation.

### 🔥 Features

- **Three ATSs, one schema** — Greenhouse, Lever, and Ashby normalised to an identical row shape.
- **Curated tech vocabulary** — ~110 canonical names spanning languages (Python, Go, Rust), frameworks (Django, React, FastAPI), databases (Postgres, MongoDB, Redis, Snowflake), cloud (AWS, GCP, Azure, Vercel), infra (Kubernetes, Terraform, Docker), CI/CD, observability, and ML/data tools.
- **Per-company fault isolation** — one bad token (404 from Lever, typo on Ashby) does not abort the run; the other companies still produce data.
- **Pydantic v2 validation** — every input and every output row is model-validated before landing in the dataset.
- **Filter knobs** — `maxJobsPerCompany` cap and `minTechsDetected` floor let you drop generic non-engineering postings.
- **Exponential backoff** — 408 / 429 / 503 retries with `Retry-After` honoured; up to 5 attempts per request.
- **Deterministic detection** — regex + vocabulary, not LLM. High precision, zero hallucinated tools.

### 💡 Use cases

- **B2B sales qualification** — enrich every Salesforce or HubSpot account with the company's live back-end stack: "they hire Django + Postgres + AWS" tells you whether to pitch your Postgres-tuning SaaS.
- **Recruiter sourcing** — pull every senior backend role from your target accounts and filter by `detected_techs` to find teams that match your candidate's stack.
- **Competitive intelligence** — track which competitors are hiring for `Kubernetes` or `Snowflake` and infer their roadmap before it's announced.
- **CRM enrichment** — replace TheirStack / BuiltWith / Wappalyzer subscriptions for the segment of buyers who publish their stack in job descriptions anyway.
- **Investment research** — map private-company tech footprint over time without a Crunchbase Pro seat.
- **Open-source stack maps** — feed a public page that ranks the most-hired-for technologies among YC-backed startups.

### ⚙️ How to use it

1. Open the Actor input form on the Apify Store page.
2. Add one or more `{companyToken, atsType}` pairs under **Companies to scrape** (the form prefills with `airtable` on Greenhouse and `Ramp` on Ashby).
3. (Optional) Set **Max jobs per company** — leave empty for no cap.
4. (Optional) Set **Minimum detected techs** — `2` or `3` drops generic non-engineering postings.
5. Configure **Apify Proxy** — leave the default residential proxy group on; we rotate sessions automatically if the ATS endpoint rate-limits.
6. Click **Start**. Rows stream into the default dataset as they are produced.

#### Quick examples

**Two engineering-heavy companies, default settings:**

```json
{
  "companies": [
    { "companyToken": "airtable", "atsType": "greenhouse" },
    { "companyToken": "Ramp", "atsType": "ashby" }
  ]
}
````

**Single Lever company, drop sales/marketing roles:**

```json
{
  "companies": [
    { "companyToken": "palantir", "atsType": "lever" }
  ],
  "minTechsDetected": 3
}
```

**Three companies across all three ATSs, capped at 50 jobs each:**

```json
{
  "companies": [
    { "companyToken": "airtable", "atsType": "greenhouse" },
    { "companyToken": "palantir", "atsType": "lever" },
    { "companyToken": "Ramp", "atsType": "ashby" }
  ],
  "maxJobsPerCompany": 50,
  "minTechsDetected": 2
}
```

### 📥 Input

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `companies` | array | Yes | — | List of `{companyToken, atsType}` objects. `atsType` must be `greenhouse`, `lever`, or `ashby`. |
| `maxJobsPerCompany` | integer | No | unlimited | Hard cap on jobs fetched per company. |
| `minTechsDetected` | integer | No | `0` | Skip rows where `detected_techs` has fewer items than this value. |
| `proxyConfiguration` | object | No | Apify Proxy | Proxy settings. Residential group recommended for rate-limited targets. |

**How to find a company's ATS token:**

- **Greenhouse**: the path segment in `boards.greenhouse.io/{token}` or `{token}.applytojob.com`. Examples: `airtable`, `figma`, `stripe`.
- **Lever**: the path segment in `jobs.lever.co/{token}`. Examples: `palantir`, `netflix`, `eventbrite`.
- **Ashby**: the path segment in `jobs.ashbyhq.com/{Token}`. Case-sensitive — `Ramp`, `PostHog`, `Linear` work; lowercase variants return zero jobs.

### 📤 Output

One row per active job posting. Rows are pushed to the default Apify dataset as they are produced — long runs surface results immediately.

| Field | Type | Description |
|---|---|---|
| `ats` | string | `greenhouse`, `lever`, or `ashby` |
| `company_token` | string | Board slug passed to the ATS |
| `job_id` | string | ATS-canonical job identifier |
| `title` | string | Job posting title |
| `location` | string | null | Location string (Remote, NYC, Berlin…) |
| `department` | string | null | Department or team |
| `url` | string | Public job-post URL |
| `description_text` | string | Plain-text description (HTML stripped) |
| `detected_techs` | string\[] | Sorted, deduplicated canonical tech names |
| `posted_at` | string | null | ISO 8601 UTC publication timestamp |
| `scraped_at` | string | ISO 8601 UTC row-creation timestamp |

**Sample output row:**

```json
{
  "ats": "greenhouse",
  "company_token": "airtable",
  "job_id": "4812345",
  "title": "Senior Backend Engineer",
  "location": "Remote",
  "department": "Engineering",
  "url": "https://boards.greenhouse.io/airtable/jobs/4812345",
  "description_text": "We use Python, Django, PostgreSQL, and AWS...",
  "detected_techs": ["AWS", "Django", "Postgres", "Python"],
  "posted_at": "2026-05-01T09:00:00Z",
  "scraped_at": "2026-06-01T12:00:00Z"
}
```

### 💰 Pricing

| Event | Price | When it fires |
|---|---|---|
| `actor-start` | $0.05 | Once per run (covers warm-up) |
| `result-row` | $0.005 | Per job row emitted |

A typical 50-job run costs `$0.05 + 50 × $0.005 = $0.30` on pay-per-result pricing — no monthly subscription, and the back-end stack is read straight from each job description.

**You pay only for rows that land.** If every token is misspelled and no jobs are returned, you pay only the $0.05 start fee.

### 🚧 Limitations

- **Tech detection is regex-based, not LLM-based** — it is deterministic and high-precision, but will miss tools not in the curated ~110-name vocabulary. Submit a feedback request to add more terms.
- **~85% recall** — job descriptions that omit or abbreviate tool names will not surface every dependency in a company's stack. This is an inherent limit of job-description parsing, not an Actor bug.
- **Ashby tokens are case-sensitive** — `Ramp` works; `ramp` returns zero jobs. Double-check the exact token from the company's Ashby board URL.
- **Greenhouse double-encoding** — Greenhouse wraps its `content` field in double HTML-encoding (`&lt;div&gt;` for `<div>`). The parser unescapes twice before stripping tags; unusual encoding in edge-case boards may still slip through.
- **Lever `descriptionPlain` gaps** — Lever sometimes omits the "Requirements" bullet list from `descriptionPlain`. The parser concatenates every `lists[].content` chunk to recover skills listed there; however, lists in non-standard formats may be missed.
- **Default dataset retention** — Apify FREE-tier default storage retains datasets for 7 days. Use `Actor.open_dataset(name="…")` or export immediately if you need to outlive that window.
- **No personal-data extraction** — this Actor reads public job posts and company-aggregated tech signals only. It does not extract candidate data or applicant details from any ATS.

### ❓ FAQ

**Q: What makes this different from BuiltWith or Wappalyzer?**
A: BuiltWith and Wappalyzer sniff front-end signals — JavaScript libraries, tracking pixels, and Cloudflare headers. They are excellent for marketing-stack detection (HubSpot, Marketo, Segment) but blind to back-end infrastructure (Postgres, Kafka, Kubernetes, Snowflake). This ATS tech stack detector reads job descriptions, which is where engineering teams declare their actual data platform and server-side stack. They complement each other; they don't overlap.

**Q: Is scraping these ATS job boards allowed?**
A: Greenhouse, Lever, and Ashby all publish their job-board APIs as official public endpoints — the same ones embedded in company career pages. We read public job post text and return company-level tech signals. No personal data, no applicant details, no authenticated endpoints.

**Q: How do I find the token for a company on Greenhouse / Lever / Ashby?**
A: Visit the company's public jobs page. The token is the path segment: `jobs.lever.co/{token}`, `boards.greenhouse.io/{token}`, or `jobs.ashbyhq.com/{Token}`. Ashby tokens are case-sensitive — copy them exactly as they appear in the URL.

**Q: Can I scrape hundreds of companies in one run?**
A: Yes. Add as many `{companyToken, atsType}` pairs as you need. One bad token (404 or empty board) does not abort the run — the others still produce data. Use `maxJobsPerCompany` to cap the volume and keep costs predictable.

**Q: What happens when a company rate-limits my requests?**
A: We handle it. The Actor retries with exponential backoff, rotates proxy sessions on 429s and 503s, and honours `Retry-After` headers. If a company hits a hard block mid-run, you'll see a `set_status_message` with a partial count — we never silently return an empty dataset.

**Q: Why does the Actor fail loud instead of returning an empty dataset?**
A: A silent empty result is a lie. If every token is wrong, the run exits non-zero with a clear error message — so your pipeline knows to investigate rather than assuming there were just no open roles.

### 🗣 Your feedback

If a tech name you care about is missing from the vocabulary, open a feedback ticket on the Actor's Apify Store page — we add new terms in batches.

Found a bug or have a feature request? Use the Store feedback form or contact **DevilScrapes** at <https://apify.com/DevilScrapes>.

***

**Related Actors:**

- **LLM Pricing Monitor** — track live API pricing across OpenAI, Anthropic, Google, Mistral, Groq, Together AI, and DeepSeek in one normalised schema.
- **GitHub Org Scraper** — pair tech-stack signals from job descriptions with actual code-repo activity per org.
- **Y Combinator Companies Scraper** — combine YC funding signal with ATS-derived tech stack for a complete startup profile.

# Actor input Schema

## `companies` (type: `array`):

List of <code>{companyToken, atsType}</code> pairs. <code>atsType</code> is one of <code>greenhouse</code>, <code>lever</code>, <code>ashby</code>. <code>companyToken</code> is the board slug in the ATS URL (e.g. <code>airtable</code> for Greenhouse, <code>palantir</code> for Lever, <code>Ramp</code> for Ashby — Ashby is case-sensitive).

## `maxJobsPerCompany` (type: `integer`):

Hard cap on rows emitted per company. Leave empty for no cap.

## `minTechsDetected` (type: `integer`):

Drop jobs whose <code>detected\_techs</code> list has fewer than this many entries. <code>0</code> keeps every job.

## `useProxy` (type: `boolean`):

Route requests via Apify Proxy (<code>BUYPROXIES94952</code>). All three ATS APIs are public — only enable if you observe rate-limiting.

## Actor input object example

```json
{
  "companies": [
    {
      "companyToken": "airtable",
      "atsType": "greenhouse"
    },
    {
      "companyToken": "Ramp",
      "atsType": "ashby"
    }
  ],
  "minTechsDetected": 0,
  "useProxy": false
}
```

# Actor output Schema

## `datasetItems` (type: `string`):

All dataset items as JSON.

## `datasetItemsCsv` (type: `string`):

Same data exported to CSV.

## `datasetView` (type: `string`):

Open the run dataset in the Console.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        {
            "companyToken": "airtable",
            "atsType": "greenhouse"
        },
        {
            "companyToken": "Ramp",
            "atsType": "ashby"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("devilscrapes/builtwith-alternative-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "companies": [
        {
            "companyToken": "airtable",
            "atsType": "greenhouse",
        },
        {
            "companyToken": "Ramp",
            "atsType": "ashby",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("devilscrapes/builtwith-alternative-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    {
      "companyToken": "airtable",
      "atsType": "greenhouse"
    },
    {
      "companyToken": "Ramp",
      "atsType": "ashby"
    }
  ]
}' |
apify call devilscrapes/builtwith-alternative-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=devilscrapes/builtwith-alternative-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "ATS Tech Stack Detector",
        "description": "Extract company tech stacks from Greenhouse, Lever, and Ashby job posts via their public APIs — detects 100+ frameworks, databases, and cloud platforms from live job descriptions — export to JSON or CSV. B2B sales intel without the SaaS bill.",
        "version": "0.1",
        "x-build-id": "2pKCItlqBwE7PdVf4"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/devilscrapes~builtwith-alternative-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-devilscrapes-builtwith-alternative-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/devilscrapes~builtwith-alternative-scraper/runs": {
            "post": {
                "operationId": "runs-sync-devilscrapes-builtwith-alternative-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/devilscrapes~builtwith-alternative-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-devilscrapes-builtwith-alternative-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "companies"
                ],
                "properties": {
                    "companies": {
                        "title": "Companies to scrape",
                        "type": "array",
                        "description": "List of <code>{companyToken, atsType}</code> pairs. <code>atsType</code> is one of <code>greenhouse</code>, <code>lever</code>, <code>ashby</code>. <code>companyToken</code> is the board slug in the ATS URL (e.g. <code>airtable</code> for Greenhouse, <code>palantir</code> for Lever, <code>Ramp</code> for Ashby — Ashby is case-sensitive)."
                    },
                    "maxJobsPerCompany": {
                        "title": "Max jobs per company",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Hard cap on rows emitted per company. Leave empty for no cap."
                    },
                    "minTechsDetected": {
                        "title": "Minimum detected techs",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Drop jobs whose <code>detected_techs</code> list has fewer than this many entries. <code>0</code> keeps every job.",
                        "default": 0
                    },
                    "useProxy": {
                        "title": "Use Apify Proxy",
                        "type": "boolean",
                        "description": "Route requests via Apify Proxy (<code>BUYPROXIES94952</code>). All three ATS APIs are public — only enable if you observe rate-limiting.",
                        "default": false
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```