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CatererGlobal Jobs Scraper - Low-cost💲🔥🌍🍽️

Scrape CatererGlobal hospitality job listings 🌍🍽️ with a powerful job scraper. Extract job titles, companies, locations, job types, posting dates, and more by keyword or location. Ideal for global hiring trend analysis, recruitment insights, and structured hospitality job datasets 📊🚀

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CatererGlobal Jobs Scraper 🍽️🌍📊

The CatererGlobal Jobs Scraper is a powerful and scalable Apify Actor designed to extract structured job listings directly from CatererGlobal search result pages.

It enables hospitality job market analysis, recruiting intelligence, salary insights, and structured dataset creation.

🎯 What This Scraper Does

Simply provide a keyword and optional filters and the scraper handles everything automatically.

✅ Extracts job listings from CatererGlobal

✅ Supports keyword and location-based searches

✅ Handles pagination automatically

✅ Applies maxitems limits

✅ Collects salaries, job details, and metadata

✅ Outputs clean, ready-to-use datasets

📊 Data Extracted

💼 Job Listing Information

Field	Description
🆔 jobId	Unique job identifier
📝 jobTitle	Job title
🏢 companyName	Employer / company name
📍 location	Job location
💰 salary	Salary information
📄 jobType	Employment type
🕒 postedDate	Job posting date
📝 description	Job description
🔗 jobUrl	Direct job listing URL

🛠 How to Use

1️⃣ Configure Input

Provide keyword and optional filters:

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

2️⃣ Run the Actor

• Load CatererGlobal search results

• Extract job listings

• Handle pagination automatically

• Collect job & salary data

• Build dataset

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

⚙️ Input Configuration

📥 Input Example

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

Input Fields

Field	Type	Description
`keyword`	array	Bulk Job keyword
`location`	string	Job location
`radius`	integer	Search radius (miles)
`sort_by`	string	Relevance, date, or salary
`maxitems`	integer	Max number of jobs to extract

📤 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"
}

📊 Use cases

🍽️ Hospitality Job Market Analysis

🎯 Recruiting & Talent Sourcing

💰 Salary Benchmarking

📊 Data Science & AI Projects

📈 Job Market Trend Analysis

🌍 Why Use This Scraper?

🚀 Fast and scalable extraction

📊 Structured job datasets

💰 Salary and hiring insights

🔎 Flexible search filters

🤖 Automation-ready

⚠️ Disclaimer

This tool is an independent solution and is not affiliated with, endorsed by, or sponsored by CatererGlobal.

💸 Pricing

This scraper runs on a pay per events subscription model.

You only pay for successful runs.

💳 Price: $4.49 / 1000 results

If you're interested in other scraping solutions, explore more tools:

(Coming soon)

📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify or by email.

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