# Caterer.com UK Hospitality Jobs Scraper (`memo23/caterer-scraper`) Actor
Scrape 5,900+ UK hospitality jobs from Caterer.com — chef, restaurant, hotel, events — via official mobile API. Filters: keyword, location, posted-within, employer-type, min-salary, job-type. Rows: title, employer + logo, structured salary, lat/lng, applyUrl
- **URL**: https://apify.com/memo23/caterer-scraper.md
- **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community)
- **Categories:** Jobs, Automation, Agents
- **Stats:** 19 total users, 18 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.90 / 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.
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
## Caterer.com UK Hospitality Jobs Scraper
Scrape **UK hospitality job postings** from **Caterer.com** — chef, restaurant manager, hotel staff, events, sous-chef, bar manager. Every row carries title, employer + logo, location with lat/lng, **structured salary band** (min / max / currency / period), `datePosted`, `validThrough`, employment type, industry, and a populated `applyUrl` when the role is direct-apply. One flat row per job from rich `JobPosting` JSON-LD plus structured salary metadata.
### Why this actor
Caterer.com is the dominant UK hospitality-vertical job board — chefs, restaurant managers, hotel staff, and events roles. ~5,900 live London hospitality postings at any time, server-side scoped to the hospitality vertical so you get exactly what Caterer.com's web UI shows.
- **Hospitality-only result set** — the actor's request is scoped to hospitality roles (chef, restaurant, hotel, events, bar staff) so you don't pay for irrelevant general-UK rows. Matches Caterer.com's web search exactly
- **Efficient JSON listing pagination** at 50 items per page, with `totalItems` reported up-front so we know exactly when we've reached the end
- **Server-side filters** — `postedWithin` (1 / 3 / 7 / 14 days), `companyTypes` (direct employer / agency), `salary` (minimum), and `jobType` (permanent / contract / temporary / part-time / work-from-home) all honoured server-side
- **Apify Residential GB** for the per-job detail fetch — the only proxy pool that consistently returns 200 OK on UK job-board detail pages
- **JobPosting JSON-LD parsing** — every row carries the full 14-field JSON-LD detail plus structured salary metadata. Hospitality jobs commonly use **hourly** rates (£12.50/hour, £14.80/hour) and the structured `period` field captures that cleanly
- **`applyUrl` populated** when `directApply: true` (≈ 60–70 % of jobs) — the candidate-facing apply URL, not just the search-page URL
- **Mixed input** — listing URLs auto-paginate + emit one row per detail; direct detail URLs scrape one row each
### Use cases
- **Hospitality recruitment market intelligence** — salary benchmarking for chef, hotel manager, F&B roles by region; track which restaurant groups are actively hiring
- **Restaurant / hotel chain competitive analysis** — see what your competitors are paying for sous-chefs, F&B managers, event managers
- **Hospitality staffing agencies** — feed the structured rows into your placement workflow
- **Industry research** — track UK hospitality job market trends (post-pandemic recovery, immigration impact, regional differences)
- **Geospatial analytics** — every row carries `location.lat` + `location.lng` for mapping hotel/restaurant hiring hotspots
- **Hourly-wage analytics** — Caterer.com is one of the rare UK job boards where hourly salary data is rich; use `salary.period === "hour"` filtering for accurate hourly-rate analysis
### Input
| Field | Type | Required | Notes |
|---|---|---|---|
| `startUrls` | `string[]` | yes | Mix of listing URLs (`https://www.caterer.com/jobs/in-london`, `/jobs/chef/in-london`) and direct detail URLs. Filters supported in the query string: `?postedWithin=1\|3\|7\|14`, `?companytypes=1\|2`, `?salary={int}`, `?jobType=permanent\|contract\|temporary\|partTime\|workFromHome`. |
| `maxItems` | `integer` | no | Maximum job rows emitted **per listing URL**. Each row = one paid dataset item. Default `1000`. Free-tier users have a hidden global ceiling of `100` rows. |
| `maxConcurrency` | `integer` | no | Parallel HTTP requests for detail-page fetches. Sweet spot 3–5 via Apify Residential GB. Default `4`. |
| `maxRequestRetries` | `integer` | no | Per-URL retry budget on proxy CONNECT failures, HTTP/2 stream resets, and network errors. Default `6`. |
| `proxy` | object | no | **Apify Residential GB required** for the detail-page fetch. Default is wired correctly — don't override unless you know what you're doing. |
#### Example input
```json
{
"startUrls": [
"https://www.caterer.com/jobs/chef/in-london",
"https://www.caterer.com/jobs/in-manchester?postedWithin=7&companytypes=2"
],
"maxItems": 200,
"maxConcurrency": 4,
"proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "GB" }
}
````
### Output schema
Every row has `rowType: "job"`. **14 fields from JSON-LD + structured salary band (often hourly for hospitality) + lat/lng + applyUrl.**
```jsonc
{
"rowType": "job",
"sourceSearchUrl": "https://www.caterer.com/jobs/in-london",
"jobId": "107379957",
"jobUrl": "https://www.caterer.com/job/commi-chef/novotel-london-brentford-job107379957",
"sourceSite": "caterer.com",
"title": "Commi Chef",
// ── JobPosting JSON-LD ──
"description": "We are looking for a passionate Commi Chef to join our team at Novotel London Brentford…
",
"datePosted": "2026-05-20T14:32:18.000Z",
"validThrough": "2026-06-30T14:32:18.000Z",
"employmentType": "FULL_TIME",
"industry": "Hospitality, Hospitality-Restaurants and Catering",
"directApply": true,
"jobLocationType": null,
"applicantLocationRequirements": [],
// ── Employer ──
"employer": {
"name": "Novotel London Brentford",
"url": "https://www.caterer.com/jobs/novotel-london-brentford?cmpId=…",
"logoUrl": "https://www.caterer.com/CompanyLogos/…novotel.png"
},
// ── Location ──
"location": {
"text": "Brentford, London, GB",
"locality": "Brentford",
"region": "London",
"postalCode": null,
"country": "GB",
"lat": 51.48717,
"lng": -0.30957
},
// ── Salary (often HOURLY for hospitality) ──
"salary": {
"rawText": "£14.80 per hour",
"min": 14.80,
"max": null,
"currency": "GBP",
"period": "hour"
},
// ── Apply flow ──
"applyUrl": "https://www.caterer.com/job/commi-chef/novotel-london-brentford-job107379957",
"applyType": "internal",
"scrapedAt": "2026-05-21T20:25:31.012Z"
}
```
### Apply flow — what `applyUrl` and `applyType` mean
| `directApply` | `applyType` | `applyUrl` | Meaning |
|---|---|---|---|
| `true` | `"internal"` | **= `jobUrl`** | Caterer hosts a one-click apply form on the job page itself. |
| `false` | `"external"` | `null` | External recruiter ATS (e.g. the hotel chain's careers portal). Open `jobUrl` in a browser and click *Apply* to be redirected. |
| missing | `"unknown"` | `null` | JSON-LD didn't surface the flag. Treat the same as `"external"`. |
**Practical rule of thumb:** ≈ 60–70 % of Caterer.com listings are `directApply: true`.
### Notes & limitations
- **Hourly salaries are common.** Unlike most UK job boards where £-per-annum dominates, Caterer.com has a healthy mix of hourly rates. The structured `salary.period: "hour"` field captures that — use it for accurate per-hour analysis.
- **Apify Residential GB is mandatory** for the per-job detail fetch.
- **`employmentType` fill is HIGHER on Caterer than on general boards** (≈ 85%) — hospitality employers tend to declare PART\_TIME / FULL\_TIME more reliably because shift structure matters more in the industry.
- **`jobLocationType` rarely populated.** Hospitality is overwhelmingly on-site, so `null` is the norm.
- **No radius-based filter.** Use a tighter `where=` location instead.
- **No maximum-salary filter.** Only minimum (`?salary=N`).
### FAQ
**Which Caterer.com URLs work?**
Two types: **listing URLs** (`/jobs/in-london`, `/jobs/chef/in-london`, `/jobs/{company-slug}-jobs`) which auto-paginate, and **direct detail URLs** (`/job/{title-slug}/{org-slug}-job{id}`) which scrape one row each.
**Why is my salary rate £12 instead of £25,000?**
Hospitality jobs are often paid hourly. The `salary.period` field is the source of truth: `"hour"` = hourly rate, `"annum"` = annual salary, `"day"` = daily rate, `"week"` = weekly. The `min`/`max` numbers are in the unit indicated by `period`. For a hospitality dataset analysis, group by `period` first.
**Does this actor return chef-specific roles only?**
No — Caterer.com covers all hospitality verticals: kitchen (chefs, kitchen porter, sous-chef), front-of-house (waitstaff, host, sommelier), management (restaurant manager, GM, F\&B), events (event coordinator, banquet manager), hotel-specific (front desk, housekeeping, concierge), and adjacent roles (bar staff, pastry, butcher). Add `?what={role}` to the query string for narrower keyword filtering.
**What does each dataset-item charge cover?**
One hospitality job row with all 14 JSON-LD fields plus the structured salary band (with `period` correctly identifying hourly vs annual) and structured location (lat/lng). `maxItems` is per-listing-URL.
### Support
- **Bugs / feature requests** — open an issue on the GitHub repo
- **Custom exports / tailored fields** — drop a note via the Apify Store contact form
- **Other actors** — see my [Apify Store profile](https://apify.com/memo23)
***
### ⚠️ Disclaimer
This Actor is an independent tool and is **not affiliated with, endorsed by, or sponsored by** Caterer.com or any of its parent / sister companies. All trademarks mentioned are the property of their respective owners.
The scraper extracts only **publicly visible** hospitality job postings from Caterer.com — no login, no CAPTCHA solving, no credential forgery. The actor uses a conservative concurrency cap (default 4 parallel requests) to avoid burdening Caterer's infrastructure.
Users are responsible for:
- Complying with Caterer.com's Terms of Service
- Following UK GDPR + your jurisdiction's data-protection laws when storing or processing scraped postings
- Not contacting candidates listed by employers in scraped postings
- Not republishing scraped data in a way that competes commercially with Caterer.com
***
### SEO Keywords
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# Actor input Schema
## `startUrls` (type: `array`):
Mix of listing URLs (e.g. `https://www.caterer.com/jobs/in-london`, `https://www.caterer.com/jobs/chef/in-manchester`) and direct job-detail URLs. Filters supported in the query string: `?postedWithin=1|3|7|14`, `?companytypes=1|2`, `?salary={int}`, `?jobType=permanent|contract|temporary|partTime|workFromHome`. Listings auto-paginate; details emit one row each. Result set is scoped server-side to the hospitality vertical (chef / restaurant / hotel / events) — exactly what caterer.com's web search shows.
## `maxItems` (type: `integer`):
Maximum job rows emitted **per listing URL**. Pass 3 listings with `maxItems: 100` → up to 300 total rows (100 each). Direct detail URLs always emit 1 row each. Each row is one paid dataset item. Default 1000. Free-tier users are additionally capped at 100 total rows.
## `maxConcurrency` (type: `integer`):
Parallel HTTP requests for detail-page fetches. Concurrency 3-5 is the sweet spot via Apify Residential GB.
## `maxRequestRetries` (type: `integer`):
Per-URL retry budget on network errors, proxy CONNECT failures, HTTP/2 stream resets, and transient 4xx responses. Each retry rotates the proxy session. Default 6.
## `proxy` (type: `object`):
Apify Residential GB required for the detail-page fetch. The listing pagination path is more permissive but the detail HTML is locked to Apify Residential GB.
## Actor input object example
```json
{
"startUrls": [
"https://www.caterer.com/jobs/in-london"
],
"maxItems": 1000,
"maxConcurrency": 4,
"maxRequestRetries": 6,
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "GB"
}
}
```
# 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 = {
"startUrls": [
"https://www.caterer.com/jobs/in-london"
],
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "GB"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("memo23/caterer-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 = {
"startUrls": ["https://www.caterer.com/jobs/in-london"],
"proxy": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "GB",
},
}
# Run the Actor and wait for it to finish
run = client.actor("memo23/caterer-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 '{
"startUrls": [
"https://www.caterer.com/jobs/in-london"
],
"proxy": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "GB"
}
}' |
apify call memo23/caterer-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=memo23/caterer-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Caterer.com UK Hospitality Jobs Scraper",
"description": "Scrape 5,900+ UK hospitality jobs from Caterer.com — chef, restaurant, hotel, events — via official mobile API. Filters: keyword, location, posted-within, employer-type, min-salary, job-type. Rows: title, employer + logo, structured salary, lat/lng, applyUrl",
"version": "0.1",
"x-build-id": "FgRwgXRwhm2bjpuKS"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/memo23~caterer-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-memo23-caterer-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/memo23~caterer-scraper/runs": {
"post": {
"operationId": "runs-sync-memo23-caterer-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/memo23~caterer-scraper/run-sync": {
"post": {
"operationId": "run-sync-memo23-caterer-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"startUrls"
],
"properties": {
"startUrls": {
"title": "Caterer.com URLs",
"type": "array",
"description": "Mix of listing URLs (e.g. `https://www.caterer.com/jobs/in-london`, `https://www.caterer.com/jobs/chef/in-manchester`) and direct job-detail URLs. Filters supported in the query string: `?postedWithin=1|3|7|14`, `?companytypes=1|2`, `?salary={int}`, `?jobType=permanent|contract|temporary|partTime|workFromHome`. Listings auto-paginate; details emit one row each. Result set is scoped server-side to the hospitality vertical (chef / restaurant / hotel / events) — exactly what caterer.com's web search shows.",
"items": {
"type": "string"
}
},
"maxItems": {
"title": "Max jobs per listing URL",
"minimum": 1,
"type": "integer",
"description": "Maximum job rows emitted **per listing URL**. Pass 3 listings with `maxItems: 100` → up to 300 total rows (100 each). Direct detail URLs always emit 1 row each. Each row is one paid dataset item. Default 1000. Free-tier users are additionally capped at 100 total rows.",
"default": 1000
},
"maxConcurrency": {
"title": "Max parallel requests",
"minimum": 1,
"maximum": 10,
"type": "integer",
"description": "Parallel HTTP requests for detail-page fetches. Concurrency 3-5 is the sweet spot via Apify Residential GB.",
"default": 4
},
"maxRequestRetries": {
"title": "Max request retries",
"minimum": 0,
"type": "integer",
"description": "Per-URL retry budget on network errors, proxy CONNECT failures, HTTP/2 stream resets, and transient 4xx responses. Each retry rotates the proxy session. Default 6.",
"default": 6
},
"proxy": {
"title": "Proxy configuration",
"type": "object",
"description": "Apify Residential GB required for the detail-page fetch. The listing pagination path is more permissive but the detail HTML is locked to Apify Residential GB.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "GB"
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```