# ATS Hiring-Signal Scraper (Greenhouse, Lever, Ashby) (`datahoeven/ats-hiring-signal-scraper`) Actor
Scrape jobs and hiring signals from Greenhouse, Lever and Ashby public JSON APIs into one uniform, deduplicated schema.
- **URL**: https://apify.com/datahoeven/ats-hiring-signal-scraper.md
- **Developed by:** [Daan Hoeven](https://apify.com/datahoeven) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.00 / 1,000 job results
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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
## ATS Hiring-Signal Scraper — Greenhouse, Lever & Ashby Jobs API
Scrape **job postings and hiring signals** from the three biggest modern Applicant Tracking Systems — **Greenhouse**, **Lever** and **Ashby** — straight from their **public, auth-free JSON APIs**. Every job from every source is returned in **one clean, uniform, deduplicated schema**, with normalised locations, parsed salaries and optional **change-detection** (new / existing / closed roles) that turns raw vacancies into **intent data**.
No browser, no Playwright, no fragile HTML scraping. Pure HTTP + JSON → fast, cheap and **maintenance-light**. These endpoints are embedded in the career pages of thousands of companies, so the ATS vendors can't quietly break them without breaking all their customers — which makes this Actor far more stable than typical job scrapers.
> **Keywords:** Greenhouse scraper, Lever scraper, Ashby scraper, ATS scraper, jobs API, hiring signals, intent data, sales intelligence, recruitment sourcing, job board aggregator, vacancy data, salary benchmarking.
---
### What it does
- 🟢 **Greenhouse** — `boards-api.greenhouse.io/v1/boards/{token}/jobs`
- 🔵 **Lever** — `api.lever.co/v0/postings/{token}`
- 🟣 **Ashby** — `api.ashbyhq.com/posting-api/job-board/{token}`
For each company you list (by ATS + token, or just by career-page URL), the Actor fetches every open posting, normalises it, deduplicates across sources, applies your filters, and pushes the results to the dataset.
#### Key features
- **Uniform cross-ATS schema** — one record shape no matter the source. Fields a source doesn't provide are `null`, never missing.
- **Hiring-signal / change detection** — run on a schedule and each job is tagged `new`, `existing` or `closed`. A company that just opened five sales-engineer roles is a growth signal; a closed role is a different signal. This is the **intent data** layer.
- **Normalised data** — locations parsed into `{city, country, remote}`, salaries parsed into `{min, max, currency, interval}`, HTML descriptions cleaned to plain text.
- **Cross-ATS deduplication** — stable `jobId` of the form `{ats}_{token}_{id}`; first occurrence wins.
- **Powerful filtering** — by keyword (title/description), location (incl. `remote`), and department/team, plus a hard `maxItems` cost cap.
- **Robust by design** — per-company error isolation (one failure never kills the run), retries with exponential backoff, `429`/`Retry-After` respected, and `SCHEMA_CHANGED` warnings if an ATS ever changes its response shape.
---
### Who it's for — use cases
- **Sales intelligence / intent data** — detect company growth by department. "Acme is hiring 5 Sales Engineers" is a buying signal for B2B sellers.
- **Recruitment & sourcing** — a live, structured feed of open roles across your target companies, with salary and location already parsed.
- **Job-board aggregators** — pull thousands of clean, deduplicated postings from many companies into one schema, ready to publish.
- **Market & salary benchmarking** — aggregate compensation data across companies, roles and regions.
- **Competitive monitoring** — watch which roles competitors open and close over time.
---
### Input
Provide **at least one** of `companies` or `companyUrls`. Everything else is optional.
| Field | Type | Description | Default |
|---|---|---|---|
| `companies` | array<object> | Explicit `{ ats: "greenhouse" \| "lever" \| "ashby", token: string }`. | — |
| `companyUrls` | array<string> | Career-page / job-board URLs; ATS + token are derived automatically. | `[]` |
| `keywords` | array<string> | Keep jobs whose title/description match any term (case-insensitive). | `[]` |
| `locations` | array<string> | Keep jobs matching location/city/country (use `remote` for remote roles). | `[]` |
| `departments` | array<string> | Keep jobs matching department/team. | `[]` |
| `includeDescription` | boolean | Include cleaned plain-text + HTML description. | `true` |
| `includeCompensation` | boolean | Include normalised compensation where available. | `true` |
| `detectChanges` | boolean | Hiring-signal mode: tag jobs `new`/`existing`/`closed` vs. the previous run. | `false` |
| `maxItems` | integer | Hard result cap for cost control (`0` = unlimited). | `0` |
| `proxyConfiguration` | object | Apify proxy settings (datacenter is enough). | `{ "useApifyProxy": true }` |
> **Change detection** needs a previous snapshot, so run the Actor **on a schedule** to get meaningful `new`/`closed` signals.
#### Example input
```json
{
"companies": [
{ "ats": "greenhouse", "token": "stripe" },
{ "ats": "lever", "token": "netflix" },
{ "ats": "ashby", "token": "ramp" }
],
"companyUrls": [
"https://boards.greenhouse.io/airbnb"
],
"keywords": ["sales engineer", "account executive"],
"locations": ["Amsterdam", "remote"],
"departments": ["Sales"],
"includeDescription": true,
"includeCompensation": true,
"detectChanges": false,
"maxItems": 0,
"proxyConfiguration": { "useApifyProxy": true }
}
````
You can also point the Actor at plain career-page URLs and let it figure out the ATS:
```json
{
"companyUrls": [
"https://boards.greenhouse.io/stripe",
"https://jobs.lever.co/netflix",
"https://jobs.ashbyhq.com/ramp"
]
}
```
***
### Output
One record per job, in a uniform schema:
```json
{
"jobId": "greenhouse_acme_4012345",
"source": "greenhouse",
"companyName": "Acme Inc.",
"companyToken": "acme",
"title": "Senior Sales Engineer",
"department": "Sales",
"team": "Revenue",
"location": "Amsterdam, NL",
"city": "Amsterdam",
"country": "NL",
"remote": true,
"employmentType": "Full-time",
"description": "Plain-text description…",
"descriptionHtml": "…
",
"compensation": { "min": 80000, "max": 110000, "currency": "EUR", "interval": "year" },
"applyUrl": "https://boards.greenhouse.io/acme/jobs/4012345",
"postedAt": "2026-06-01T00:00:00Z",
"updatedAt": "2026-06-03T00:00:00Z",
"scrapedAt": "2026-06-04T10:00:00Z",
"changeStatus": "new"
}
```
`changeStatus` is only present in `detectChanges` mode. Any field a source doesn't expose is `null`, so the schema stays consistent across all three ATS providers.
At the end of every run a small summary is written to the key-value store (`RUN_SUMMARY`): `{ companiesOk, companiesFailed, totalJobs }`.
***
### Finding a company's token
The token is the company slug in its public career-page URL:
| ATS | Career-page URL | Token |
|---|---|---|
| Greenhouse | `https://boards.greenhouse.io/stripe` | `stripe` |
| Lever | `https://jobs.lever.co/netflix` | `netflix` |
| Ashby | `https://jobs.ashbyhq.com/ramp` | `ramp` |
If you're not sure, just drop the full URL into `companyUrls` and the Actor resolves the ATS and token for you. Unresolvable URLs are skipped with a warning instead of failing the run.
***
### Pricing
This Actor uses the **pay-per-result** model: you're charged per job pushed to the dataset. Use `maxItems` to set a hard cost ceiling. Because everything runs over plain HTTP JSON (no headless browser), compute cost is minimal.
***
### FAQ
**Does this need an API key or login for Greenhouse / Lever / Ashby?**
No. All three endpoints are public, auth-free JSON APIs embedded in companies' career pages.
**How stable is it?**
Very. These endpoints power thousands of live career pages, so the vendors can't break them without breaking their own customers. The only realistic maintenance signal is a `SCHEMA_CHANGED` warning, which the Actor logs automatically.
**What are "hiring signals"?**
Turn on `detectChanges` and run on a schedule. The Actor compares each run to the previous one and tags jobs as `new`, `existing` or `closed` — letting you spot when a company starts (or stops) hiring for a role or department. That's intent data for sales and market research.
**Does it scrape applicant or candidate data?**
No. Only public job postings and company metadata. No personal/applicant data (GDPR by design).
**Can I get salaries?**
Where the ATS exposes them (notably Ashby and some Lever boards), yes — normalised into `{min, max, currency, interval}`. Set `includeCompensation: true` (the default).
**Which other ATS providers are supported?**
v1 covers Greenhouse, Lever and Ashby. The adapter pattern makes adding Workable, Recruitee or Personio straightforward in a future version.
***
### Running locally
```bash
npm install
npm run check ## typecheck + lint + tests
apify run ## runs with .actor/ input
```
Built with **Node.js 20 + TypeScript (strict)**, Apify SDK v3, Crawlee `HttpCrawler` and `got-scraping`. Pure API-first — no browser.
# Actor input Schema
## `companies` (type: `array`):
Companies identified explicitly by their ATS provider and board token / company slug. Use this when you already know the token. At least one of "companies" or "companyUrls" is required.
## `companyUrls` (type: `array`):
Career-page or job-board URLs; the ATS provider and token are derived automatically (e.g. boards.greenhouse.io/{token}, jobs.lever.co/{token}, jobs.ashbyhq.com/{token}). Unresolvable URLs are skipped with a warning. At least one of "companies" or "companyUrls" is required.
## `keywords` (type: `array`):
Only keep jobs whose title or description matches any of these terms (case-insensitive substring match). Leave empty to keep all jobs.
## `locations` (type: `array`):
Only keep jobs whose location, city or country matches any of these terms (case-insensitive). Use "remote" to match remote roles. Leave empty to keep all locations.
## `departments` (type: `array`):
Only keep jobs whose department or team matches any of these terms (case-insensitive). Leave empty to keep all departments.
## `includeDescription` (type: `boolean`):
Include the cleaned plain-text and HTML job description in each result.
## `includeCompensation` (type: `boolean`):
Include normalised compensation (min/max/currency/interval) where the ATS exposes it.
## `detectChanges` (type: `boolean`):
Hiring-signal mode: compare against the previous run and tag each job as new, existing or closed. Requires running the Actor on a schedule so a previous snapshot exists.
## `maxItems` (type: `integer`):
Hard cap on the number of results for cost control. Use 0 for unlimited. In change-detection mode, closed-job signals are added on top of this cap.
## `proxyConfiguration` (type: `object`):
Proxy settings. Datacenter proxy is enough for these public JSON APIs.
## Actor input object example
```json
{
"companies": [
{
"ats": "greenhouse",
"token": "stripe"
}
],
"companyUrls": [
"https://boards.greenhouse.io/stripe"
],
"keywords": [
"sales engineer",
"account executive"
],
"locations": [
"Amsterdam",
"remote"
],
"departments": [
"Sales",
"Engineering"
],
"includeDescription": true,
"includeCompensation": true,
"detectChanges": false,
"maxItems": 0
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"companies": [
{
"ats": "greenhouse",
"token": "stripe"
},
{
"ats": "lever",
"token": "netflix"
},
{
"ats": "ashby",
"token": "ramp"
}
],
"companyUrls": [
"https://boards.greenhouse.io/stripe",
"https://jobs.lever.co/netflix",
"https://jobs.ashbyhq.com/ramp"
],
"keywords": [
"sales engineer",
"account executive"
],
"locations": [
"Amsterdam",
"remote"
],
"departments": [
"Sales",
"Engineering"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("datahoeven/ats-hiring-signal-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"companies": [
{
"ats": "greenhouse",
"token": "stripe",
},
{
"ats": "lever",
"token": "netflix",
},
{
"ats": "ashby",
"token": "ramp",
},
],
"companyUrls": [
"https://boards.greenhouse.io/stripe",
"https://jobs.lever.co/netflix",
"https://jobs.ashbyhq.com/ramp",
],
"keywords": [
"sales engineer",
"account executive",
],
"locations": [
"Amsterdam",
"remote",
],
"departments": [
"Sales",
"Engineering",
],
}
# Run the Actor and wait for it to finish
run = client.actor("datahoeven/ats-hiring-signal-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": [
{
"ats": "greenhouse",
"token": "stripe"
},
{
"ats": "lever",
"token": "netflix"
},
{
"ats": "ashby",
"token": "ramp"
}
],
"companyUrls": [
"https://boards.greenhouse.io/stripe",
"https://jobs.lever.co/netflix",
"https://jobs.ashbyhq.com/ramp"
],
"keywords": [
"sales engineer",
"account executive"
],
"locations": [
"Amsterdam",
"remote"
],
"departments": [
"Sales",
"Engineering"
]
}' |
apify call datahoeven/ats-hiring-signal-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=datahoeven/ats-hiring-signal-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "ATS Hiring-Signal Scraper (Greenhouse, Lever, Ashby)",
"description": "Scrape jobs and hiring signals from Greenhouse, Lever and Ashby public JSON APIs into one uniform, deduplicated schema.",
"version": "0.0",
"x-build-id": "cYdpyYNCdxfo2ueL6"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/datahoeven~ats-hiring-signal-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-datahoeven-ats-hiring-signal-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/datahoeven~ats-hiring-signal-scraper/runs": {
"post": {
"operationId": "runs-sync-datahoeven-ats-hiring-signal-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/datahoeven~ats-hiring-signal-scraper/run-sync": {
"post": {
"operationId": "run-sync-datahoeven-ats-hiring-signal-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"companies": {
"title": "Companies (explicit ATS + token)",
"type": "array",
"description": "Companies identified explicitly by their ATS provider and board token / company slug. Use this when you already know the token. At least one of \"companies\" or \"companyUrls\" is required."
},
"companyUrls": {
"title": "Company career-page URLs",
"type": "array",
"description": "Career-page or job-board URLs; the ATS provider and token are derived automatically (e.g. boards.greenhouse.io/{token}, jobs.lever.co/{token}, jobs.ashbyhq.com/{token}). Unresolvable URLs are skipped with a warning. At least one of \"companies\" or \"companyUrls\" is required.",
"items": {
"type": "string"
}
},
"keywords": {
"title": "Keyword filter",
"type": "array",
"description": "Only keep jobs whose title or description matches any of these terms (case-insensitive substring match). Leave empty to keep all jobs.",
"default": [],
"items": {
"type": "string"
}
},
"locations": {
"title": "Location filter",
"type": "array",
"description": "Only keep jobs whose location, city or country matches any of these terms (case-insensitive). Use \"remote\" to match remote roles. Leave empty to keep all locations.",
"default": [],
"items": {
"type": "string"
}
},
"departments": {
"title": "Department filter",
"type": "array",
"description": "Only keep jobs whose department or team matches any of these terms (case-insensitive). Leave empty to keep all departments.",
"default": [],
"items": {
"type": "string"
}
},
"includeDescription": {
"title": "Include description",
"type": "boolean",
"description": "Include the cleaned plain-text and HTML job description in each result.",
"default": true
},
"includeCompensation": {
"title": "Include compensation",
"type": "boolean",
"description": "Include normalised compensation (min/max/currency/interval) where the ATS exposes it.",
"default": true
},
"detectChanges": {
"title": "Detect hiring-signal changes",
"type": "boolean",
"description": "Hiring-signal mode: compare against the previous run and tag each job as new, existing or closed. Requires running the Actor on a schedule so a previous snapshot exists.",
"default": false
},
"maxItems": {
"title": "Maximum results",
"minimum": 0,
"type": "integer",
"description": "Hard cap on the number of results for cost control. Use 0 for unlimited. In change-detection mode, closed-job signals are added on top of this cap.",
"default": 0
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy settings. Datacenter proxy is enough for these public JSON APIs."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```