JobStreet Scraper

Overview

This actor scrapes job listings from JobStreet. It extracts detailed job data including titles, companies, locations, dates, and descriptions. Use it for job market research, recruitment analytics, or data integration.

Key Features

• Extracts comprehensive job data: Captures title, company, location, posting date, and full description (HTML and plain text).
• Flexible search: Filter by keywords, location, and posting date (e.g., last 24 hours, 7 days).
• Handles pagination: Automatically navigates through multiple pages of search results.
• Configurable limits: Set maximum jobs or pages to scrape.
• Proxy support: Use proxy configurations for reliable data collection.
• Structured output: Returns data in JSON format for easy processing.

Input Configuration

Configure the scraper using these input parameters.

Output Schema

The actor outputs a dataset of job listings in JSON. Each item contains:

How to Use

Running the Actor

1. Access the Actor: Navigate to the actor's page on the Apify platform.
2. Configure Inputs: Provide the required keyword and any optional parameters.
3. Run: Execute the scraper and monitor its progress.
4. Retrieve Results: Download the dataset from the actor's storage once complete.

Example Inputs

Basic Search:

{
  "keyword": "data analyst",
  "location": "Malaysia"
}

Scrapes "data analyst" jobs in Malaysia.

Advanced Search with Limits:

{
  "keyword": "developer",
  "location": "Singapore",
  "posted_date": "7d",
  "maxJobs": 100,
  "maxPages": 10
}

Scrapes up to 100 developer jobs posted in the last 7 days in Singapore, limited to 10 pages.

Integration Tips

• API Access: Use Apify's API to run the actor programmatically.
• Scheduling: Set up recurring runs for continuous data collection.
• Data Processing: Export results to CSV or feed directly into analytics tools.

Configuration Best Practices

• Use specific keywords to narrow results and improve relevance.
• Implement maxJobs or maxPages to control run time and cost.
• Use proxyConfiguration for large-scale or frequent scraping to avoid blocks.