Totaljobs Jobs Search Scraper

Overview

This actor scrapes job listings from Totaljobs.com and other major job boards within The Stepstone Group network. It automates data extraction from these platforms, converting job postings into structured datasets for analysis, recruitment intelligence, or integration into other systems.

Key Features

• Multi-Domain Support: Scrapes job data from multiple regional job sites under The Stepstone Group:
  • UK: totaljobs.com
  • Germany/Austria: stepstone.de, stepstone.at
  • Benelux: stepstone.be, stepstone.nl
  • Ireland: irishjobs.ie, nijobs.com
  • South Africa: pnet.co.za
• Comprehensive Data Extraction: Captures details from job listings including job title, company, salary range, location, job description, and sector information.
• Structured Output: Returns clean, organized data in consistent formats (JSON, CSV, etc.) suitable for immediate use.
• Configurable Searches: Allows filtering by job categories, locations, keywords, and other search parameters supported by the target website.

How to Use

Configure the actor run using either a direct search URL from one of the supported domains or by setting individual search parameters (like keyword, location) within the actor's input.

Run using a search URL:
1. Perform a job search on the target website (e.g., totaljobs.com).
2. Copy the full URL from your browser's address bar.
3. Paste this URL into the actor's startUrls input field.

Example Input Configuration (using a startUrl):

{
  "startUrls": ["https://www.totaljobs.com/jobs/software-engineer"]
}

Input/Output

Input: The primary input is one or more startUrls. These should be search result URLs from any of the supported domains. You can also configure pagination limits, proxy settings, and data format preferences.

Output: The actor outputs a dataset containing items, each representing a scraped job listing. A typical job item includes structured fields such as:
* jobTitle
* company
* salary
* location
* jobDescription
* jobUrl
* postedDate

The data is available in the Apify dataset store for download as JSON, CSV, Excel, and other formats.

Contact: For issues or questions, contact the developer via My profile.