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Workopolis Job Scraper

Pricing

Pay per usage

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Workopolis Job Scraper

Workopolis Job Scraper

Developed by

Shahid Irfan

Shahid Irfan

Maintained by Community

A lightweight Apify actor designed to efficiently scrape job listings from Workopolis. Extracts job titles, companies, locations, and descriptions. For best results and to prevent getting blocked, running this scraper with residential proxies is highly recommended.

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Pricing

Pay per usage

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Last modified

4 hours ago

Workopolis.com Jobs Scraper

This Apify actor scrapes job listings from Workopolis.com.

Features

  • Scrapes Workopolis.com job search results.
  • Extracts detailed job information including title, company, location, and full description.
  • Handles pagination to collect multiple pages of results.
  • Can be configured to use proxies for reliable scraping.
  • Saves results to a dataset.

Input

The actor accepts the following input fields:

  • keyword: The job title or keywords to search for.
  • location: The geographic location to filter jobs by.
  • posted_date: Filter jobs by when they were posted (e.g., "24h", "7d", "30d").
  • startUrl: A specific Workopolis.com search URL to start scraping from.
  • results_wanted: The maximum number of jobs to scrape.
  • max_pages: A safety cap on the number of listing pages to visit.
  • collectDetails: If enabled, the actor will visit each job's detail page to extract the full description and other details.
  • cookies: Custom cookies to use for the requests, which can help bypass banners.
  • proxyConfiguration: Proxy settings for the scraper.

Output

The actor outputs a dataset of job listings with the following fields:

  • url: The URL of the job posting.
  • title: The job title.
  • company: The company name.
  • location: The job location.
  • date_posted: When the job was posted.
  • description_html: The job description in HTML format.
  • description_text: The job description in plain text.