# Jobdocket Profile Scraper (`getdataforme/jobdocket-profile-scraper`) Actor

Extract comprehensive job data effortlessly with Jobdocket Profile Scraper, an Apify Actor that automates scraping of job listings from Jobdocket and similar sites....

- **URL**: https://apify.com/getdataforme/jobdocket-profile-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** Automation, Lead generation, Jobs
- **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.05 / actor start

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 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

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

#### Output JSON

```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!

***

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of requests that can be made by this crawler.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://crawlee.dev/"
    }
  ],
  "maxRequestsPerCrawl": 100
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://crawlee.dev/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/jobdocket-profile-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://crawlee.dev/" }] }

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/jobdocket-profile-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://crawlee.dev/"
    }
  ]
}' |
apify call getdataforme/jobdocket-profile-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/jobdocket-profile-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/zfLcTbuQbRfh9TewX/builds/cPUHAky30gTyvm1IN/openapi.json