Jobdocket Profile Scraper

The Jobdocket Profile Scraper is a powerful Apify Actor designed to extract detailed job profile data from Jobdocket and similar platforms. It automates the collection of comprehensive job listings, including company details, responsibilities, and application information, enabling efficient data gathering for recruitment, research, and market analysis. This tool ensures high-quality, structured data output to streamline your workflows and decision-making processes.

Features

• Comprehensive Data Extraction: Scrapes key job details such as title, company, location, employment type, categories, and full descriptions.
• Reliable Crawling: Utilizes CheerioCrawler for fast, efficient web scraping with built-in error handling and retries.
• Customizable Inputs: Supports multiple start URLs and configurable request limits for targeted or broad data collection.
• Structured Output: Delivers clean JSON data with fields like responsibilities, requirements, and application links.
• Performance Optimized: Handles up to 100 requests per crawl by default, scalable for larger datasets.
• No-Code Friendly: Easy to configure via the Apify platform, ideal for non-technical users.
• Data Integrity: Includes metadata like crawl timestamps and raw descriptions for verification.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	URLs to start the crawl with. Each URL should point to a job listing or profile page.	[{"url": "https://jobdocket.com/job/example"}]
maxRequestsPerCrawl	integer	No	Maximum number of requests the crawler can make. Helps control costs and avoid overloading sites.	100

Example Usage

Input JSON

{
  "startUrls": [
    {
      "url": "https://jobdocket.com/job/software-engineer"
    }
  ],
  "maxRequestsPerCrawl": 50
}

Output JSON

[
  {
    "url": "https://apify.com",
    "crawledAt": "2026-02-10T11:12:32.927Z",
    "title": "",
    "company": "N/A",
    "location": "N/A",
    "employmentType": "N/A",
    "categories": [],
    "aboutCompany": "",
    "description": "",
    "responsibilities": [],
    "requirements": [],
    "requirementsHtml": "",
    "apply": {
      "email": null,
      "careersPage": null
    },
    "rawMetaDescription": "Cloud platform for web scraping, browser automation, AI agents, and data for AI. Use 10,000+ ready-made tools, code templates, or order a custom solution.",
    "pageTitle": "Apify: Full-stack web scraping and data extraction platform"
  }
]

Use Cases

• Market Research and Analysis: Gather job market trends, salary data, and industry demands from multiple listings.
• Competitive Intelligence: Monitor competitors' job postings to understand hiring strategies and skill requirements.
• Price Monitoring: Track job-related data for pricing models in recruitment services.
• Content Aggregation: Compile job data for blogs, newsletters, or databases.
• Academic Research: Collect data for studies on employment patterns and labor markets.
• Business Automation: Automate lead generation by identifying companies and their open positions.

Installation and Usage

1. Search for "Jobdocket Profile Scraper" in the Apify Store
2. Click "Try for free" or "Run"
3. Configure input parameters
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 output is an array of JSON objects, each representing a scraped job profile. Key fields include:

• url: The source URL of the job listing.
• crawledAt: Timestamp of when the data was scraped.
• title: Job title (may be empty if not found).
• company: Company name or "N/A".
• location: Job location or "N/A".
• employmentType: Type of employment (e.g., full-time) or "N/A".
• categories: Array of job categories.
• aboutCompany: Description of the company.
• description: Full job description.
• responsibilities: Array of job responsibilities.
• requirements: Array of job requirements.
• requirementsHtml: HTML version of requirements.
• apply: Object with email and careers page links (may be null).
• rawMetaDescription: Raw meta description from the page.
• pageTitle: Title of the webpage.

This structured format ensures easy parsing and integration into databases or analysis tools.

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!

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