# Workopolis Job Listing Scraper (`powerbox/workopolis-listing-scraper`) Actor

Scrape job listings from Workopolis.com with comprehensive data extraction

- **URL**: https://apify.com/powerbox/workopolis-listing-scraper.md
- **Developed by:** [PowerBox](https://apify.com/powerbox) (community)
- **Categories:** Automation, Jobs, Other
- **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 1,000 results

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

## Workopolis Job Listing Scraper

A web scraper for Workopolis.com job listings. This actor automatically scrapes job postings from Workopolis search results, including job titles, companies, locations, salaries, job types, requirements, benefits, and more.

### Features

- Automatic pagination support
- Extracts comprehensive job data including:
  - Job title and URL
  - Company name and rating
  - Location
  - Salary information
  - Job type (full-time, part-time, etc.)
  - Remote work attributes
  - Requirements and skills
  - Benefits
  - Posting date
- Built-in deduplication using job keys
- Configurable max items to scrape
- Proxy support

### Input

- `searchUrl`: The Workopolis search URL (default: https://www.workopolis.com/search?q=it\&l=Remote)
- `maxItems`: Maximum number of job listings to scrape (default: 50)
- `proxyConfiguration`: Apify proxy configuration (optional)

### Output

The scraper outputs structured JSON data with the following fields for each job:

- `jobKey`: Unique identifier for the job
- `title`: Job title
- `jobUrl`: Full URL to the job posting
- `company`: Company name
- `companyUrl`: Company profile URL
- `location`: Job location
- `companyRating`: Company rating (if available)
- `salary`: Array of salary information
- `jobType`: Array of job type tags
- `remoteAttr`: Remote work attributes
- `requirements`: Array of job requirements/skills
- `benefits`: Array of job benefits
- `datePosted`: Posting date
- `quickApply`: Quick apply indicator
- `searchUrl`: The search URL used
- `scrapedAt`: Timestamp of when the data was scraped

### Use Cases

- Job market research
- Recruitment analytics
- Salary benchmarking
- Job posting aggregation

# Actor input Schema

## `searchUrl` (type: `string`):

The Workopolis search URL to scrape jobs from

## `maxItems` (type: `integer`):

Maximum number of job listings to scrape

## `proxyConfiguration` (type: `object`):

Proxy settings for the actor

## Actor input object example

```json
{
  "searchUrl": "https://www.workopolis.com/search?q=it&l=Remote",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("powerbox/workopolis-listing-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("powerbox/workopolis-listing-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 '{}' |
apify call powerbox/workopolis-listing-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerbox/workopolis-listing-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/NREMOaHkhRzUQqDcs/builds/ZjPWZ3KJ1EJDUXQv9/openapi.json