JobStreet Scraper
Pricing
Pay per usage
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JobStreet Scraper
A simple and lightweight scraper for Jobstreet, designed to quickly extract essential job posting data. It provides a clean, minimal set of columns for easy integration. Important: For a smooth and reliable run, this actor requires the use of residential proxies.
5.0 (1)
Pricing
Pay per usage
0
2
2
Last modified
16 hours ago
JobStreet Jobs Scraper
This Apify actor scrapes job listings from JobStreet. It is designed to be fast and lightweight.
Features
- Scrapes JobStreet job search results.
- Extracts job title, company, location, date posted, and description.
- Handles pagination to collect multiple pages of results.
- Saves results to the Apify dataset.
Input
The actor accepts the following input fields:
keyword: (Required) The job title or keywords to search for.location: (Optional) The geographic location to filter jobs by.posted_date: (Optional) Filter jobs by when they were posted (e.g., "24h", "7d", "30d", "anytime").maxJobs: (Optional) The maximum number of jobs to scrape. Stops when this limit is reached.maxPages: (Optional) A safety cap on the number of listing pages to visit.cookies/cookiesJson: (Optional) Custom cookies to bypass consent dialogs or access member-only content.proxyConfiguration: (Optional) Standard Apify proxy configuration. The scraper works well with residential proxies to avoid blocks.
Output
The actor outputs a dataset of job listings with the following fields:
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.url: The URL of the job posting.
