# CatererGlobal Jobs Scraper - Cheap 🍽️🌍📊 (`scrapestorm/catererglobal-jobs-scraper---cheap`) Actor

Looking to extract hospitality job listings worldwide? 🔍
The CatererGlobal Scraper 🍽️🌍 lets you gather job postings by keyword or location, including job title, company, type, posted date & more

Perfect for anyone looking to analyze hospitality jobs hiring trends, & global hotel on CatererGlobal

- **URL**: https://apify.com/scrapestorm/catererglobal-jobs-scraper---cheap.md
- **Developed by:** [Storm\_Scraper](https://apify.com/scrapestorm) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$19.89/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## CatererGlobal Jobs Scraper 🍽️🌍📊

### Scrape Hospitality Jobs from CatererGlobal.com

The **CatererGlobal Jobs Scraper** is a fast and reliable tool for extracting **structured job data** from **CatererGlobal.com**, a UK-based global job board dedicated to the **hospitality, catering, hotel, and restaurant industries** 🇬🇧🌍.

It collects **job titles, companies, locations, salaries, job types, posted dates, job URLs, and descriptions** — **no coding required**.

Perfect for **hospitality market research**, **recruiting**, **lead generation**, **CRM enrichment**, and **AI / data projects**.

***

### 🔍 Features

- Scrapes jobs listed on **CatererGlobal Jobs**

- Works with any **keyword** and **location**

- Supports **salary-based sorting**

- Filter jobs by **location radius**

- Export data in **JSON, CSV, or Excel**

- Configurable **maximum number of jobs** to scrape

- 🚫 No proxy required

***

### 📊 Data Extracted

| Field         | Description                      |
| ------------- | -------------------------------- |
| `jobId`       | Unique job ID                    |
| `jobTitle`    | Job title                        |
| `companyName` | Employer / company name          |
| `location`    | Job location                     |
| `salary`      | Salary information               |
| `jobType`     | Full-time / Part-time / Contract |
| `postedDate`  | Job posting date                 |
| `description` | Job description                  |
| `jobUrl`      | Direct job URL                   |

***

### 🛠 How to Use

1. Enter a **job keyword**
   *(Example: “Chef”, “Restaurant Manager”)*

2. Optionally add a **location** and **search radius**

3. Choose a **sorting option**
   *(Relevance, recently published, salary)*

4. Set the **maximum number of jobs**

5. Run the scraper and **export results**

***

### 📍 Supported Searches

- 🇬🇧 United Kingdom hospitality jobs
- 🌍 International hotel & catering roles
- Restaurants, hotels, resorts, cruise lines, catering companies

***

### 📊 Built-in Views

- **Overview** – High-level job listings

- **By Salary** – Jobs grouped by salary range

- **By Company** – Jobs grouped by employer

- **By Location** – Jobs grouped by city/country

- **Recently Posted** – Latest job openings

All views are interactive and exportable to **JSON, CSV, and Excel**.

***

### 💸 Pricing

The scraper runs on a **monthly subscription model**, pay only for successful runs.

💳 **Price:** $18.89 / month

***

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If you're interested in other Jobs, Company Leads, YouTube or Facebook scraping solutions, check out these related tools:

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***

### ⚙️ Input Configuration Example

#### Input Example

```
{
  "keyword": "chef",
  "location": "London",
  "radius": 10,
  "sort_by": "published",
  "maxitems": 50
}
```

#### Input Fields

| Field      | Type    | Description                |
| ---------- | ------- | -------------------------- |
| `keyword`  | string  | Job keyword (optional)     |
| `location` | string  | Job location (optional)    |
| `radius`   | integer | Search radius in miles     |
| `sort_by`  | string  | Relevance, date, or salary |
| `maxitems` | integer | Maximum number of jobs     |

***

### 📤 Output Example

```
{
  "jobId": "cg-45678",
  "jobTitle": "Head Chef",
  "companyName": "Luxury Hotel Group",
  "location": "London, UK",
  "salary": "£45,000 - £50,000",
  "jobType": "Full-time",
  "postedDate": "2026-01-13",
  "description": "Responsible for managing kitchen operations...",
  "jobUrl": "https://www.catererglobal.com/job/45678"
}
```

***

### 🌐 Why Use This Scraper?

🍽️ **Hospitality Job Intelligence** – Track hiring trends

🎯 **Recruiting & Sourcing** – Build hospitality talent pipelines

📊 **Salary Analysis** – Compare roles and compensation

🤖 **AI / NLP Projects** – Create structured job datasets

🔄 **Automation** – Monitor new hospitality job postings

***

### 📫 Support & Contact

😊 Leave a **5-star rating ⭐⭐⭐⭐⭐** if you’re satisfied

🌪️ **Storm Scraper**
<https://apify.com/scrapes>
For questions, feature requests, or custom scraping needs, contact us directly via **Apify** or by email.

# Actor input Schema

## `keyword` (type: `string`):

Search keyword for jobs (e.g., 'chef', 'manager', 'communication'). Leave empty for all jobs.

## `location` (type: `string`):

Job location (e.g., 'London', 'Dubai', 'Manchester'). Leave empty for all locations.

## `radius` (type: `integer`):

Search radius in miles from the location (0=exact location, 5/10/20/30 miles radius). Only applies when location is specified.

## `sort_by` (type: `string`):

Sort results by

## `maxitems` (type: `integer`):

Limits how many job listings will be scraped

## Actor input object example

```json
{
  "keyword": "communication",
  "location": "",
  "radius": 0,
  "sort_by": "relevance",
  "maxitems": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

Complete overview of all scraped job listings

## `bySalary` (type: `string`):

Jobs sorted by salary

## `byCompany` (type: `string`):

Jobs grouped by hiring company

## `byLocation` (type: `string`):

Jobs grouped by location

## `recent` (type: `string`):

Recently posted job listings

# 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 = {
    "keyword": "communication",
    "location": "",
    "radius": 0,
    "sort_by": "relevance",
    "maxitems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapestorm/catererglobal-jobs-scraper---cheap").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 = {
    "keyword": "communication",
    "location": "",
    "radius": 0,
    "sort_by": "relevance",
    "maxitems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapestorm/catererglobal-jobs-scraper---cheap").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "keyword": "communication",
  "location": "",
  "radius": 0,
  "sort_by": "relevance",
  "maxitems": 50
}' |
apify call scrapestorm/catererglobal-jobs-scraper---cheap --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapestorm/catererglobal-jobs-scraper---cheap"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/gVGsLzyGWmvsXJR68/builds/7QBzBWspPZItGKL2o/openapi.json