Jobdocket Category Scraper

Introduction

The Jobdocket Category Scraper is a powerful Apify Actor designed to extract job listings from Jobdocket's category pages. It leverages PlaywrightCrawler for reliable web scraping, delivering structured data on job titles, companies, locations, salaries, and more. This tool empowers businesses and researchers to gather insights from job markets efficiently, enabling data-driven decisions without manual effort.

Features

• Comprehensive Job Data Extraction: Scrapes detailed job information including titles, companies, locations, types, salaries, and descriptions from Jobdocket categories.
• High Reliability with Playwright: Utilizes PlaywrightCrawler for robust handling of dynamic web content, ensuring accurate data collection even from complex sites.
• Customizable Start URLs: Allows users to specify multiple starting URLs for targeted scraping across different job categories.
• Structured JSON Output: Produces clean, machine-readable JSON data for easy integration with databases, analytics tools, or downstream applications.
• Scalable Performance: Optimized for handling large volumes of job listings with efficient crawling and minimal resource usage.
• Error-Resilient Scraping: Includes built-in mechanisms to handle common web scraping challenges like timeouts and anti-bot measures.
• Real-Time Crawling Timestamps: Each scraped item includes a "crawledAt" field for tracking data freshness.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	An array of URLs to start the scraping process. Each URL should point to a Jobdocket category page.	[{"url": "https://jobdocket.com/category/software-engineering"}]

Example Usage

To run the Jobdocket Category Scraper, provide input parameters in JSON format. Here's an example:

{
  "startUrls": [
    {
      "url": "https://jobdocket.com/category/software-engineering"
    },
    {
      "url": "https://jobdocket.com/category/data-science"
    }
  ]
}

This will scrape job listings from the specified category pages. The output will be a JSON array of job objects, such as:

[
  {
    "title": "Apify platform",
    "company": "Not specified",
    "location": "Not specified",
    "type": "Not specified",
    "salary": "Not Specified",
    "description": "Apify platform",
    "jobUrl": null,
    "sourceUrl": "https://apify.com",
    "crawledAt": "2026-02-10T11:11:48.232Z"
  }
]

Use Cases

• Market Research and Analysis: Analyze job market trends by scraping listings from various categories to identify in-demand skills and salary ranges.
• Competitive Intelligence: Monitor competitors' hiring patterns by extracting job data from industry-specific categories.
• Price Monitoring: Track salary information for roles in different sectors to inform pricing strategies for freelance or consulting services.
• Content Aggregation: Build job portals or newsletters by aggregating listings from multiple Jobdocket categories.
• Academic Research: Collect data for studies on employment trends, regional job availability, or skill gaps in specific fields.
• Business Automation: Automate lead generation for recruitment agencies by scraping and filtering job postings based on criteria.

Installation and Usage

1. Search for "Jobdocket Category Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters (e.g., add start URLs).
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The Actor outputs a JSON array of objects, each representing a scraped job listing. Key fields include:

• title: The job title.
• company: The hiring company (may be "Not specified").
• location: Job location (may be "Not specified").
• type: Job type (e.g., full-time; may be "Not specified").
• salary: Salary information (may be "Not Specified").
• description: A brief job description.
• jobUrl: Direct link to the job posting (null if unavailable).
• sourceUrl: The URL from which the job was scraped.
• crawledAt: Timestamp of when the data was crawled (ISO 8601 format).

This structured format ensures easy parsing and integration.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!